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A NATIONAL ANALYSIS OF MINORITIES IN SCIENCE AND ENGINEERING FACULTIES AT RESEARCH UNIVERSITIES Second Edition
EXECUTIVE SUMMARY by Dr. Donna Nelson and Christopher N. Brammer
The first national and most comprehensive
demographic analysis to date of tenured and tenure track faculty in the top 100 departments of science and engineering disciplines shows that minorities and women are significantly underrepresented. There are relatively few tenured and tenure-track underrepresented minority (URM) faculty in these research university departments, even though a growing number and percentage of minorities are completing their Ph.D.s. Qualified minorities are not going to faculties of many science and engineering disciplines. However, in some engineering disciplines, there is a better match between the percentage of URMs in recent Ph.D. attainment versus among assistant professors. The percentage of URMs in science and engineering B.S. attainment generally continues to increase, but they are likely to find themselves without the minority faculty needed for optimal role models and mentors.
There are few minority full professors in the physical sciences and engineering disciplines studied; the highest percentage of all URMs combined among full professors is less than 5% (chemical engineering). Comparing the representation of URMs among assistant professors in the top 50 departments, versus those in the next group of 50, gives mixed results; in engineering, the top 50 departments have higher percentages of URMs, while the top 50 chemistry, math, and computer science departments have much lower representations of URMs. In each discipline except biological sciences, the percentage of White males in top 50 departments is about equal to or greater than in the next group of 50.
URM women faculty, especially “full” professors, are almost nonexistent in physical sciences and engineering departments at research universities. Surprisingly, most of the few female minority full professors in those disciplines were not born in the U.S.
In most disciplines studied, the percentage of URMs among recent Ph.D. recipients is significantly above their percentage among assistant professors; exceptions include civil engineering and mechanical engineering. In the top 50 departments of chemistry and math, the percentage of Hispanic and Native American faculty among assistant professors is lower than among associate professors, revealing a decline in hiring these minorities. In contrast, in all disciplines studied, the highest percentage of female faculty is at the level of assistant professor, as a result of increased recent hiring of women.
In most disciplines, URM faculty are so few that a
minority student can get a B.S. or Ph.D. without being taught by or having access to a URM professor in that discipline. However, there is a disproportionate number of White male professors as role models for White male students. For example, in 2005, 16.7% of the students graduating with a B.S. in chemistry were URMs, but in 2007, only 3.9% of faculty at the top 100 chemistry departments were URMs. For females, those data are 51.7% and 13.7%, respectively. In contrast, the corresponding percentages for White males are 37.4% and 74.2%, respectively. While the percentages of women and of URMs in science and engineering Ph.D. attainment have increased in recent years, the White men still dominate the corresponding faculties.
A cycle is perpetuated. Minorities are less likely to enter and remain in science and engineering when they lack mentors and role models. In most science and engineering disciplines, the percentage of URMs among faculty recently hired is not comparable to that of recent minority Ph.D.s. and is far below that of recent BS recipients. This results in fewer minority faculty to act as role models for minority students. Minority students observe this in the course of sampling the educational environment. If minority professors are not hired, treated fairly, and retained, minority students perceive that they will experience the same. This will not encourage them to persist in that discipline. Trends in data for women are very similar to those observed for URMs, but more obvious due to greater magnitudes. Therefore, the most useful comparisons may be those for representation of women across disciplines. For example, in the top 100 departments, the representation of females among professors in chemistry, versus astronomy or earth sciences, is lower at each rank. The ratios of chemistry: astronomy: earth science are 21.2%: 25.3%: 28.2% for assistant professors, and 13.7%: 15.8%: 16.5% for professors of all ranks combined. However, the representation of female students in chemistry is and has been higher than that of astronomy or earth sciences for years (51.7%: 42.4%: 41.9% for B.S. in 2005, and 32.4%: 22.7%: 31.8% average for Ph.D.s in 1996 – 2005). Astronomy and earth science may have desirable hiring practices which could be used by other disciplines. Using these data to identify points of strength and challenge for each discipline could guide the search for programs, resources, and attitudes which are responsible for the results. We hope this will facilitate the transfer of good practices among disciplines.
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NATIONAL ANALYSIS OF MINORITIES IN SCIENCE AND ENGINEERING FACULTIES AT RESEARCH UNIVERSITIES Second Edition
by Dr. Donna J. Nelson and Christopher N. Brammer January 4, 2010
Introduction
The U.S. faces impending national, international, and global crises that will require the expertise and effort of scientists and engineers, such as the energy challenge, environmental issues, globalization of our economy, national security considerations, and the technological industries’ impending “Great Crew Change.”[1] In order for these crises to be addressed with consideration of U.S. values, culture, and interests, there must be adequate participation of U.S. scientists and engineers. U.S. scientists and engineers will embody these traits due to their U.S. life experiences and will convey them while addressing these crises. Simultaneously, the U.S. science and engineering work force is aging; “baby boomer” scientists and engineers are leaving the U.S. work force. The increasing need for scientists and engineers who imprint U.S. values, culture, and interests, combined with the increasing loss of current U.S. scientists and engineers, creates a critical situation. Therefore, the need for transferring U.S. values, culture, and interests while developing solutions to the national, international, and global crises, will grow more critical with time.
In order for U.S. citizens to enter the scientific work force, they must acquire necessary knowledge and skills, usually by passing through U.S. educational institutions. In planning the education of our future scientific work force, an essential consideration is the changing demographics of our population, which will constitute the pool from which future U.S. scientists and engineers will be drawn and the constituents who future U.S. scientists and engineers will serve. The U.S. population is increasing in Blacks, Hispanics, and Native Americans, known collectively as underrepresented minorities (URMs). Also, the women’s share of the general U.S. work force continues to increase. Together, URMs and women constitute almost two-thirds of the U.S. population; as their representations increase in the work force, underutilizing their talent and potential in science and engineering is not only impractical, but also detrimental to the nation’s future success. It is important that U.S. educational institutions are able to accommodate the needs of this large segment of our population, so that those citizens will be fully
represented in the U.S. scientific work force. In this way, diverse talents of U.S. URMs and women, will be included in formulating solutions to these crises.
Because the values, culture, and interests of scientists and engineers in leadership positions will greatly influence solutions to our national, international, and global crises, it is important that URMs and women be represented among those leaders. An education from a highly-ranked university is often a credential for such a leadership position; most U.S. science and engineering leaders passed through highly-ranked educational institutions. Therefore, it is desirable to explore the degree to which the highest ranking U.S. academic science and engineering departments are prepared to serve U.S. URM and women students. This will influence whether U.S. URMs and women will be among the U.S. scientists and engineers who will lead the development of solutions to the crises mentioned above.
Simple measures of these departments’ accommodation of and appeal to URM and women students can be made by assessing the representations of URMs and women at points along the academic pipeline. We report herein the results of comparing the shares held by underrepresented groups at pertinent points in academia, by discipline. These comparisons are: (1) recent B.S. recipients versus faculty, in order to gauge same-race or same-gender mentors and role models for the students; (2) recent Ph.D. recipients versus assistant professors, in order to gauge utilization of the faculty hiring pool; (3) faculty distributions by rank, in order to gauge overall progress toward faculty diversification; and (4) in some disciplines, URM faculty rank versus year and country of each degree, in order to explore effects of being a native-born U.S. citizen. “Underrepresented minorities are projected to constitute almost 32% of the American population by 2020, outnumbering White males (30.1%).[2] Therefore, proactive steps should be taken now in order to insure the proportionate inclusion of such a large part of the U.S. population in science and engineering, throughout all levels of academia.” Dr. Donna J. Nelson, Associate Professor, University of Oklahoma
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General Methods Our data were gathered by surveying the top
100 departments in each of fifteen science and engineering disciplines, as ranked by the National Science Foundation (NSF) according to research funds expended.[3] Each department chair was asked to provide the gender, race/ethnicity, and rank of each tenured or tenure track faculty member. Data from chairs were entered into tables, which are provided in the Appendix. A URL to posted tabulated data was emailed to respondents, with a request that they report any desired changes, and requested changes were made. Details of our methodology are given in a separate section at the end of this report. The rationale for the unusual grouping of disciplines used herein is detailed in the section on “Females.” Alternate Solutions
An obvious source of U.S. scientists and engineers is future generations of U.S. citizens. Many programs focus on increasing the interest of students, ranging from pre-college to kindergarten, in science and engineering. This is an extremely worthy goal for long-term solutions. However, it is not a practical solution for the critical immediate need for U.S. scientists and engineers, which we face due to the impending “Great Crew Change”; there simply is not enough time. The Independent Petroleum Association of America estimated that by 2010 40% of their skilled professionals will reach retirement age (Figure 1).[1] The “Great Crew Change” will be over before the younger students could receive the education and/or experience they need to become leaders in science and engineering.
Another solution to meet U.S. needs for
scientists and engineers is to import them. This solution does offer a way to increase the diversity of our science and engineering work force. This is being proposed and encouraged by many professional organizations through a variety of programs and activities. However, excessive reliance on this solution can create a different problem. If people from overseas become a majority of U.S. scientists and engineers, then U.S. women and minorities will continue to be underrepresented in science and engineering. Also, this will not guarantee that those scientists and engineers will embody U.S. values, culture, and interests to the same extent as native U.S. citizens; thus predominantly using this solution will not insure that U.S. values, culture, and interests will be imprinted on solutions to the above crises. Similarly, exporting technological jobs and the related technological development will diminish the influence of U.S. values, culture, and interests.
The above alternate solutions address the problem of insufficient scientists and engineers in the U.S. However, they do not fulfill the need for scientists and engineers who will transfer U.S. values, culture, and interests while developing solutions to critical national, international, and global crises. Underutilization of segments of our society combined with our aging scientific work force, will exacerbate this need.[4] Thus, we (1) have increased need for U.S. scientists, (2) face increased incipient retirements, and (3) will need to recruit U.S. replacements with a greater share of underrepresented groups than ever before. If U.S. scientists and engineers are to meet these future scientific demands, then the U.S. will need to find a way to produce those scientists and engineers.
“If the proportion of Blacks and Hispanics among chemists doesn't keep up with the proportion of these groups in the general population, who's going to do chemistry in the future?" Paul Walter, Past President, American Chemical Society; Past President, American Association of University Professors [5]
Figure 1. Oil and Gas Workforce Age Distribution [1c]
1%
6%
8%
12%
20%
20%
13%
6%
4%
10%
0% 5% 10% 15% 20% 25%
20-24
25-29
30-34
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65+
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I. Disparity Between Representations of URMs in Academia versus the U.S. Population
A Person Like Me Although the representation of Blacks,
Hispanics, and Native Americans in the 2006 U.S. population was estimated [6] to be 12.8%, 14.8%, and 1.1%, respectively, their representation at almost each point in academia is lower. If the URM representation among U.S. professors is noticeably less than in the general population, especially at higher levels in academia, this can influence URM students’ self-esteem [7] and the evaluation which URMs make of their own likelihood to receive appropriate rewards and reach higher levels in academia.[8]
Our data (See Appendix.) reveal that few science and engineering departments have more than a single URM faculty member. As a result, minority faculty can feel isolated or marginalized, and attempts at change made by URMs can make little or no difference.[9] Some URM faculty have reported being overwhelmed with advising numerous minority student organizations and token assignments on multiple committees.[10] Some minority professors cite a hostile working environment as their biggest job-related concern. [10] It has been reported that negative office politics can have more detrimental impacts than outright acts of discrimination.[10] Students sample this environment while pursuing their degrees; if URM students’ mentors and role models are struggling instead of thriving, then URM students perceive that they will struggle similarly if they continue to those same levels in academia.[8]
Glacial URM Faculty and Promotion Increases As seen in Table 1, the few minority faculty
members present in academia are usually concentrated in the lower ranks, chiefly as assistant professors. For example, in sociology all URMs combined represent 19.2% of assistant professors (newest hires), 11.1% of associate professors, and 10.8% of “full” professors in FY2007. In only 3 of the 15 disciplines surveyed in FY2007 are the majority of URM faculty at the rank of associate professor. In no discipline surveyed was the highest percentage of URMs at the rank of “full” professor. The opposite is true for White males.
Consequently, a relatively large proportion of minority faculty members lack tenure. Without job security or a critical mass, most minority faculty members lack the capability or leverage to change the environment greatly within their discipline.[10] Many URM faculty feel they have worked too hard to reach their current position to risk losing their job, no matter how alienating or unfavorable their environment.[11] Tenure is given and denied by other faculty members, giving untenured faculty little incentive to challenge the status quo.[11]
The slow promotion rate of URM faculty has significant consequences. It results in consistently low numbers of tenured minority faculty members, and therefore it impedes progress in improving the environment of minority faculty members.[10] Moreover, only 5 of the 9 engineering and physical sciences disciplines increased their representations of URM professors from FY2002 [12] to FY2007.
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II. Increase in URMs Among Ph.D. Recipients Between the years 1986-1995 and 1996-2005,
the percentage of Ph.D. recipients who are URMs increased by about 2.5%, a growth rate below that of females (5.9%). This increase in representation among Ph.D. recipients is much less than the 7% increase in URM representation in the U.S. population from 1980-2000 (18.8 % to 25.9%).[2] Most of this 7% increase can be attributed to a rise in the Hispanic population (from 6.4% to 12.6%).[2]
The cause of this slow growth in Ph.D. attainment is only partly revealed by comparing the representation of URMs among B.S. recipients in 2000 versus Ph.D. recipients in 2005 (Table 3). On average, URM representation in Ph.D. attainment drops from that in B.S. attainment by a factor of 2 to 3. This trend suggests that more efforts and programs should be directed at strengthening the pipeline at this transition. In none of the disciplines surveyed was the representation of URMs among Ph.D. recipients larger than among B.S. recipients.
“If we engage the talent — with its beauty and the beautiful minds — of all of our young people in science and engineering studies and professions — we will address our national self-interest. And, we will have acknowledged the value inherent in talent and inherent in diversity.” Shirley Ann Jackson, Ph.D., President, Rensselaer Polytechnic Institute [13]
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III. URMs Among Ph.D. Recipients (Hiring Pool) versus Assistant Professors (Recent Hires) Comparing representations of URMs, shows a
disparity between their representations among 1996 – 2005 Ph.D. recipients (the hiring pool) versus FY2007 assistant professors (faculty most recently hired) at the top 100 departments of most disciplines (Table 4). Sociology is a noteworthy exception to this, with a representation among assistant professors well above that among Ph.D. recipients for both Blacks (11.7% versus 9.5%) and Hispanics (7.6% versus 5.9%). However, in the engineering disciplines surveyed, the representation of URMs among assistant professors at the top 50 departments was generally comparable to or greater than among Ph.D. recipients. In chemistry, math, and computer science, the opposite was the case, with a representation of URMs at higher-ranked departments below that of lower-ranked ones. In most disciplines the representation of URMs decreases at higher professorial ranks (Table 1).
Other interesting differences among disciplines emerge from Table 4. Astronomy has no Black or Native American assistant professors. Among physical sciences, engineering, and social sciences disciplines, only electrical engineering reported
Native American assistant professors in the top 50 departments, and only half of these disciplines have a Native American assistant professor in a lower-ranked department.
The above reveals two reasons for grouping the physical sciences and engineering disciplines as shown: chemistry, math, and computer science in one group, and engineering disciplines in another group, along with (marginally) astronomy and physics. These reasons are (1) the agreement between URM representations among Ph.D. recipients versus assistant professors and (2) the different distributions of URMs among the top 50 departments versus the top 100 departments. ”Black students are hesitant to pursue a field where no leaders of the same race have been before. You need to see faculty achieving in these fields to go into those fields. There needs to be a synergy between (increasing) black faculty and black students...which will generate more and more students." Dr. Arlie Petters, Professor, Duke University [8]
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IV. URMs Among B.S. recipients (Mentees) versus Faculty (Mentors and Role Models) Perpetuating a Cycle
Demographics of a faculty impact the ethnic composition of the student population.[14] Dearth of minority faculty at a university or in a discipline discourages minority students from selecting that university or discipline, since most students are comfortable in environments that include people with backgrounds and characteristics similar to theirs.[14] In addition, a university’s lack of minority faculty has an adverse effect on the success of its minority students. Without professors of similar backgrounds to mentor them, many URM students feel alienated and unsupported.[15]
Our data reveal that the disparity between faculty versus student body racial / ethnic compositions is increasing. There is concern that commitment to URM students has eroded [16] and that URM undergraduate enrollments are dropping in science and engineering.[17] Nevertheless, overall URM representation at the undergraduate level is still outpacing that of the faculty (Table 3). As a result, faculty who mentor and advise URM undergraduates are predominantly White male professors. For example, in psychology, White males received 16.3% of B.S. degrees in 2005 and 27.5% of the 1996–2005 Ph.D.s, but constituted 56.8% of the faculty in FY2007 (Table 14.) In the same field, URMs received 21.6% of the 2005 B.S. degrees and 12.9% of the 1996–2005 Ph.D.s, but only constituted 6.9% of the top 100 FY2007 faculty (Table 5). Thus, the imbalance is present at both undergraduate and graduate levels. Also, URMs in computer science received 20.6% of the 2005 B.S. degrees, 6.6% of the Ph.D.s between the
years of 1996-2005, but only comprise 2.8% of the top 100 faculty in FY2007 (Table 7).
The quantity and quality of interactions between same-race and same-gender faculty and graduate students are reported to be higher and more closely related to the future success of those students.[18] Non-minority students are also impacted by the absence of minority faculty.[14] They are deprived of an education diverse in thoughts and ideas that results from a faculty diverse in background and culture.[14] A university’s lack of minority faculty sends a message to its students that minorities have no place in academia, thereby perpetuating a cycle of marginalization and discrimination.[14]
Thus, the presence of science and engineering minority faculty is a crucial factor in encouraging and ensuring the continued interest of young minorities in science and engineering. Their presence is equally important to ensure that (1) current minority students, who are majoring in the fields of science and engineering, graduate and (2) some of those students become professors themselves, thus serving as mentors and as successful examples to future generations of minorities. “The underrepresentation of minorities in academe is not a new problem, but efforts to address this issue over the past 10 or more years have had little or no impact.” Stanley C. Israel, Chair, American Chemical Society Board Task Force on Minorities in Academe [19]
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V. Analysis of Data for Underrepresented Groups Blacks
In only four disciplines (chemical engineering, 2.1%; political science, 4.2%; sociology, 7.9%; psychology, 3.4%), did Blacks constitute over 2% of FY2007 professors at top 100 departments. Upon omitting the lower-ranked 50 departments, representation of Blacks among all professors generally increased for engineering disciplines and decreased for chemistry, math, and computer
science. Sociology had the highest percentage of Blacks among faculty and degree recipients.
The representation of Blacks among all professors versus among recent B.S. recipients, a measure of same-race mentors and role models, is generally more disparate in chemistry, computer science, math, and life sciences. The change in B.S. recipients from 2004 to 2005 ranged from a 0.5% drop (chemistry) to a 0.4% increase (sociology and
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psychology). Blacks in astronomy received a much lower percentage of B.S. degrees (1.4%) than Hispanics (6.1%), almost at the level of Native Americans (1.1%). Following a general trend for URMs (Table 7), there is a dramatic decrease between the representations of Blacks among B.S. recipients versus Ph.D. recipients in all disciplines.
Comparing Blacks among assistant professors
versus recent Ph.D. recipients of top 50 engineering disciplines gives a better match than by using the second tier of departments; the reverse is true in chemistry, math, and computer science. Contrasting the past two decades of Ph.D. recipients, the representation of Blacks has increased in all disciplines except economics, where there was a marginal decrease.
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Hispanics Hispanics generally are the largest segment of
URM professors (Tables 8 versus 7) in physical sciences and engineering. In astronomy, physics, and engineering disciplines, the representation of Hispanics among top 100 assistant professors is generally higher than among recent Ph.D. recipients. The highest representation is not consistently at one professorial rank, but in the top 50 departments of chemistry and math, it is at associate professor, indicating a decline in hiring.
In astronomy, all URM assistant professors but no associate professors are Hispanic.
Hispanics follow the general trend for URMs, showing a higher representation among B.S. recipients than Ph.D. recipients in all disciplines. Nevertheless, in the past two decades Hispanic representation among Ph.D. recipients has increased in all disciplines studied. Although this trend is encouraging, their representation at all points lags far behind their 14.8% of the total 2006 estimated U.S. population.
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Native Americans In this report, the category Native Americans
includes Alaskan Natives, Native Hawaiians, and Pacific Islanders. Native Americans have the lowest representation at all but one point – assistant professors in the second tier of earth sciences departments (1.8%), where they surpass Blacks (0.6%). Among students, only astronomy 2005 B.S. recipients match the U.S. population (1.1%). In the top 50 departments, psychology assistant professors have the highest Native American representation at 1.1%; in the next 50 departments, four disciplines
surpass 1.1%. The only Native American assistant professor in top 50 physical sciences and engineering disciplines is in electrical engineering, indicating a 7-year hiring lapse in the others. In astronomy and in civil engineering, there is no Native American professor at any rank.
Except in psychology, Native Americans follow the URM trend, in which representation among B.S. recipients is greater than or equal to Ph.D. recipients. Comparing the past two decades of Ph.D. attainment reveals that their representation increased in each discipline.
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Asians Asians constitute only 4.4% of the estimated
2006 U.S. population,[6] compared to that of Blacks or Hispanics, which are 12.8% and 14.8% respectively. Asians have a higher representation at almost every point in academia than in the U.S. population, so although they are a minority group, they are not considered URMs.
Asians have reached critical mass (generally regarded as 15% to 30%) at every faculty rank in some physical sciences and engineering disciplines, with others very near that mark (Table 10). In most disciplines examined, the representation of Asians decreases with rank, with the representation being much higher among assistant professors. The highest Asian representation among faculty of all ranks is found in engineering, computer science, and math. Asian faculty outnumber female faculty at almost every point in the physical sciences and engineering, with the exceptions of astronomy and “full” professors in chemistry. Asians outweigh White males among assistant professors in the second tier of computer science (45.2% versus 40.5% respectively) and electrical engineering (45.9% versus 43.0% respectively) departments.
Although Asians have attained critical mass
among faculty in several disciplines, they have done so among B.S. recipients in only two disciplines studied herein – electrical engineering and economics. Comparing their representation among recent B.S. recipients versus among all faculty might lead to the initial impression that Asian American students have a good supply of same-race mentors and role models.
The percentage of Asians among Ph.D. recipients during 1996 – 2005 is quite high; electrical engineering has the highest percentage at 26.2%. Psychology has the lowest percentage at 4.3%, about the representation of Asians in the U.S. population. Comparing average percentages for each of the past two decades, Asians among Ph.D. recipients have increased or remained about constant in nearly all disciplines surveyed. Similar to white males, the percentage of Asians among recent Ph.D. recipients about equaled or exceeded that among recent B.S. recipients in almost all disciplines studied. In two disciplines, physics and civil engineering, the percentage of Asians among Ph.D. recipients was more than double that among B.S. recipients and in mechanical engineering, it was more than triple.
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However, the above analyses of data for Asians can be misleading, due to confusion surrounding U.S. native born citizen versus immigrant status. Although foreign-born Asians are a valuable source of diversity in America’s institutions of higher education, recent immigrants cannot possess the life experiences of Asian-American native U.S. citizens. Many foreign-born Asians obtain their B.S. degree in the U.S.,[2] which evidences some U.S. life experiences. However, many obtain their Ph.D. degree in the U.S. after having obtained their undergraduate degree in their home country.[20] As a result, among U.S. Ph.D. recipients, presumably the main hiring pool for professors and postdoctoral assistants at U.S. universities, Asians are becoming predominantly foreign-born, instead of native-born. For example, in 2005, foreign nationals made up 90% of the Asian science and engineering postdoctoral assistants in the U.S.[21] Our own surveys of national origin at the top 50 department faculties in chemistry (FY2003) and in chemical engineering (FY2002), which included data disaggregation by national origin, revealed that
63% and 72%, respectively, of Asian faculty received their B.S. degrees overseas. When only Asian-Americans who obtained their B.S. degrees in the U.S. were considered, their representations among all faculty were much closer to that in the general U.S. population. When their representations among assistant professors were compared to those of Asian Americans among Ph.D. recipients in chemistry and in chemical engineering, Asian Americans were underrepresented slightly in both disciplines. “Now more than ever, the nation’s changing demographics demand that we include all of our citizens in science and engineering education and careers. For the U.S. to benefit from the diverse talents of all its citizens, we must grow the pipeline of qualified, underrepresented minority engineers and scientists to fill positions in industry and academia.” Dr. Irving P. McPhail, Executive Vice President and COO, National Action Council for Minorities in Engineering (NACME). [24]
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Women The grouping of disciplines in the tables in this
report reflects natural patterns found in the representation of women across disciplines. Generally, the natural grouping of disciplines which results from the patterns in data for women is also found in URM data. Grouping in URM data is harder to discern, because the numbers are much smaller and differences are more subtle. However, examining the patterns in the data for women facilitates recognizing patterns in the data for URMs. Grouping the disciplines on the basis of strengths and weaknesses is helpful, because it will facilitate identifying solutions to problems and enable limited resources to be better focused.
We previously grouped disciplines according to the patterns formed naturally by data [22], but the grouping in this report is slightly different than that used previously [12]. The change results from fine-tuning our assessments based on new data, increasing the number of criteria, and comparing the patterns observed for females versus those observed for URMs. These patterns are observed via four assessments of our data: (1) Does the discipline have a critical mass of women? A group attains critical mass when it reaches a representation of 15% – 30% [12]; here, this is determined by the percentage in the column labeled “all” in Table 11. (2) What is the supply of same-gender mentors and role models for female undergraduates? This is calculated by comparing the representation of women among “all” professors versus recent B.S. recipients. (3) What is the
utilization of the discipline’s female Ph.D. recipients during the past decade? This is calculated by comparing the representation of women among its recent hires (assistant professors) versus Ph.D. recipients over the last decade. Using the last decade provides for assistant professors who came up for tenure during their seventh year in FY2007 and previously held a 3-year postdoctoral position. (4) What is the discipline’s increase in representation of females among faculty over time? These data are found in Table 12.
Data for female professors in FY2007 (Table 11) reveal that women faculty have achieved critical mass in social sciences, life sciences, and astronomy. Other disciplines in physical sciences and engineering are approaching this achievement, but based on (1) the proximity to the 15% goal and (2) the increases shown in the 5 years between FY2002 and FY2007 (Table 12), only computer science inspires confidence that its women faculty will also achieve critical mass in the next 5 years. Nevertheless, math, civil engineering, and chemical engineering are also reasonable prospects.
In FY2007, some disciplines still offered their undergraduates few women faculty role models and mentors, although women took about half of their 2005 B.S. degrees in them (Table 11): chemistry, 51.7% of B.S. recipients versus 13.7% of all professors; math, 44.9% versus 12.9%; astronomy, 42.4% versus 15.8%. This shows a deficiency in the number of same-gender role models and mentors for female undergraduates in these disciplines.
There are large disparities between women’s
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shares of recent Ph.D.s versus assistant professors in some disciplines. The most notable is chemistry (32.4% recent Ph.D. recipients versus 21.2% assistant professors, giving 65% utilization), psychology (67.8% versus 48.5%, giving 72% utilization), and biological sciences (46.3% versus 35.0%, giving 76% utilization). In all other disciplines studied, the representation of women among assistant professors is over 88% of women among Ph.D. recipients (1996 – 2005). Although chemistry, psychology, and biological sciences have quite large representations of women in their hiring pools (32.4%, 67.8%, and 46.3% respectively), the underutilization is not merely a consequence of a large hiring pool. Other disciplines with high representations of women in their hiring pools have high utilizations, such as sociology (where women are 60.8% of recent Ph.D. recipients versus 56.1% of assistant professors, giving 92% utilization), political science (38.9% versus 37.0%, giving 95% utilization), and earth sciences (31.8% versus 28.2%, giving 88.7%).
The above utilizations disagree with those inferred from data contained in the figures of a recent report [23], in which chemistry is represented as having ~100% utilization. The explanation for the disagreement is threefold, based on information contained in the notes of the figures [23]: (1) Data labeled “chemistry” were data for chemistry and chemical engineering combined. As shown in our Table 11, these two disciplines have opposite trends in their data for women. Chemistry is high in degree attainment by women, while chemical engineering is low. Nevertheless, they have about equal representations of women among assistant
professors. The opposite trends displayed by these disciplines contraindicates grouping them; this would be illogical for data-driven analyses. (2) Assistant professors were included only if they obtained their Ph.D.s in the U.S.[23], but our data include all assistant professors, regardless of national origin. Excluding professors who took Ph.D.s overseas introduces a large error into some disciplines. For example, in our national origin analyses of chemistry (FY2003), we found that 15% of the assistant professors had received their Ph.D.s from overseas, and few of these were female. This approximation causes a rather large positive error in that representation [23] of women among chemistry assistant professors, skewing the utilization results high. (3) Those data [23] were samples gathered from U.S. Ph.D. recipients, so they are expected to be different from our data, which represent populations.
The representation of women among Ph.D. recipients is higher on average during the more recent decade (1996 – 2005) than the previous one (1986 – 1995), in all disciplines examined. The general increase in the representation of women among assistant professors from FY2002 to FY2007 reflects this increase in females among Ph.D. recipients (Table 12), although the magnitude of the former is less than expected. Some disciplines show a remarkable increase in the representation of women between FY2002 and FY2007 (Table 12), especially at the assistant professor level. Most notable are computer science and economics, with astonishing increases of ~9% and ~21% respectively. Other disciplines show only marginal improvement (political science and
16
chemistry). Four disciplines increased the share of women at the “full” professor rank by ≥3.5%: chemical engineering, civil engineering, political science, and sociology.
The value of survey populations is most obvious when analyzing the data in Table 13. These numbers are headcount, rather than percentages; they are single-digit in most disciplines, especially the physical sciences and engineering. These numbers are so small that it would be impossible to obtain meaningful results,
disaggregated by race/ethnicity, gender, and rank, without having data for all departments surveyed (the whole populations); numbers this small would not survive the statistical treatment, which would be necessary if they were samples. “Full” professors are so few that we collected an approximation of national origin information for them. A number sign (#) designates a “full” professor who received her B.S. degree outside the U.S.; an asterisk (*) designates a “full” professor who received her B.S. degree inside the U.S.
The data in Table 13 reveal that the number of Black female professors in physical sciences and engineering is near zero. The vast majority of Hispanic female “full” professors in physical sciences and engineering are from overseas. Although one might assume that being a native of the country in which one works would give one an advantage, apparently this is not always the case. There are sufficiently more URM females in the social sciences and the life sciences, so that their total for all the top 50 departments of a discipline combined, occasionally is two-digit instead of single digit. No tenured female Native American “full” professor in a top 50 department of any discipline was reported.
17
White Males There is generally an increase in representation of White males, as one proceeds across Table 14 from left to right, so that they have the lowest representation among B.S. recipients and the highest representation among “full” professors. In some cases, the representation of White males among “full” professors is double or triple that among B.S. recipients. Thus, White male undergraduates enjoy the advantage of being in a sea of same-gender and same-race role models and mentors, while pursuing their degrees. This trend holds, regardless of whether 50 or 100 departments are considered.
There are a few disciplines in which a hysteresis in the smooth general trend is observed. For example, in math there is a drop in White male representation from 58.7% Ph.D. attainment to 48.6% assistant professors and in computer science, from 59.9% to 47.1%. This could lead to the conclusion that in these disciplines, White male Ph.D.s in the hiring pool are not being fully utilized. However, except for sociology assistant professors, the representation of White males among professors of all ranks in all disciplines is higher than their
representation in the U.S. population. In disciplines which display the above
significant decrease in White males from Ph.D. attainment to assistant professor, there is a corresponding increase in the representation of Asians among assistant professors (Table 10), which accounts for the majority of the shortfall. The one exception is mechanical engineering, in which the ~17% drop (66.0% – 48.8%) is offset by a corresponding ~9% increase in Asians (24.5% to 33.4%) and ~10% in women (8.4% to 18%). “The bottom line of the story: There is a pathway through sciences, through the education system. At each stage of the pathway, we’re losing critical talent. This is not good given the changing demographics. The faculty is looking less like the student body as the student body becomes more diverse.” Dr. Shirley Malcom, Director of Education and Human Resources, American Association for the Advancement of Science.[25]
18
Conclusion Impending global crises and U.S. demographic
changes require the U.S. to develop its intellectual capital fully, especially in the areas of science and engineering, in order to maintain its global leadership and economic strength. As U.S. population demographic changes continue and make their way through our educational system, they will directly affect thinking and practices regarding science and engineering education in the United States, the future of science and engineering professions, and the need for diversity in the science and engineering work force. The data herein provide one measure of our preparedness to meet these challenges and to groom a balanced representation of our U.S. citizens not only to participate in, but also to lead, the imminent “Great Crew Change” in science and engineering.
Our data reveal that URMs among our science and engineering faculty are shockingly underrepresented despite increased general growth in their representation among B.S. and Ph.D. recipients. As expected, compared to their share of the U.S. population, URMs are underrepresented at almost every point in the academic pipeline. In most disciplines, there is a drop in representation at each point measured, with a gradual decrease up to the rank of “full” professor, where the lowest representation is found; this reflects an increase in recent hiring in those disciplines. However, in some disciplines, the representation of Blacks,
Hispanics, or Native Americans, among assistant professors (the most recently hired rank) is lowest and occasionally zero.
“The educational system is less and less responsive to our underrepresented minority populations as the degree stakes go up. And universities’ interpretation and implementation of so-called diversity do virtually nothing to help. The rate at which the minority population is growing is outpacing the rate at which we are improving our effectiveness in educating these students. We know a lot about what works. We just don t use what we know. If we don’t bring our domestic minority populations into the science pipeline, the U.S. will lose its technological leadership -- and soon.” Dr. Richard A. Tapia, University Professor of Mathematics, Maxfield and Oshman Professor in Engineering, Rice University. [26]
19
Methodology In order to investigate the race/ethnicity, rank,
and gender of faculty, we surveyed top research departments of fifteen science and engineering disciplines. For each discipline, we selected all pertinent departments in each university that ranked in the top 100 according to the most recent National Science Foundation annual report on academic research expenditures available at the time of data collection. The top 100 departments were different for each discipline. Over 90% of the departments in our sample are located in universities classified in either the Doctoral/Research Universities-Extensive category or the Doctoral/Research Universities-Intensive category of the Carnegie Classification of Institutions of Higher Education. For each of the top 100 departments in research expenditures, department chairs were asked to report the race/ethnicity (Asian, Black, White, Hispanic, and Native American), rank (assistant, associate, and professor) and the gender of tenured and tenure-track faculty for fiscal year 2007. In a limited number of instances, data were unavailable from department chairs and were collected instead from other sources, such as department websites and published directories.
If a university had both a math department and a department of statistics or applied mathematics, then we included both departments in the math survey; these are designated in the Appendix math tables by #. These additional departments were sufficiently few that we were able to gather data for the full population in math. In biological sciences and in earth sciences, we surveyed all pertinent departments of each university (sometimes over 15 departments per university); in these two disciplines, the number of departments was so high that we did not attempt to gather information from all departments for each university.
In each discipline, some departments did not respond or declined to participate; in these cases, we gathered the information from the departmental website, so that we had the full population, rather than a sample. Universities for which departmental data were gathered from a source other than the chair(s) or the(ir) designee(s) are marked in the Appendix tables by **.
In cases in which the NSF listed fewer than 100 departments for a discipline, we surveyed all that were provided. For example, NSF ranked only 40 astronomy departments. Engineering disciplines and social sciences disciplines each had been grouped by NSF, and the research expenditures of the group were used to rank the top 100
universities. This caused an occasional sub-disciplinary department to be included among the top 100, even though it had no research expenditures reported (or might not even exist). We omitted those departments. Therefore, although it was still possible to sort and rank research funding expenditures by sub-discipline, some sub-disciplines have fewer than 100 departments, as seen in the Appendix tables. Acknowledgements
We appreciate contributions of and assistance from Dr. Ann Beutel, Ruibo Li, Alana Donaldson, Thomas Hornbeek, Van Nguyen, Sarah Yost, John Hallren, Summer Golden, and Lauren Hallman. The research and its dissemination were funded, in part, by grants from Alfred P. Sloan Foundation, Ford Foundation, NSF ADVANCE Leadership Award, and Diversity in Science Association. Approval of the Internal Review Board of the University of Oklahoma was obtained before work was initiated. Biographical Sketch
Dr. Donna Nelson, associate professor of chemistry at Oklahoma University, obtained her Ph.D. in chemistry at UT-Austin with MJS Dewar, did her postdoctorate at Purdue with HC Brown, and joined OU in 1983. She has over 90 publications and several honors, including NSF ADVANCE Leadership Award, SACNAS Distinguished Scientist, Women’s eNews “21 Leaders for the 21st Century”, AAAS Fellow, Guggenheim Award, NOW “Woman of Courage”, Ford Fellow, Sigma Xi Faculty Research Award, NSF Creativity Extension, and many keynote talks.
She researches three global challenges – energy, environment, and scientific work force development, and frequently speaks on their interrelationship. Her chemical research involves functionalizing single walled carbon nanotubes (SWNTs), with applications in energy research and technology development, and yielded the first COSY NMR spectrum of covalently functionalized SWNTs in solution.
For more information about Dr. Donna Nelson, please visit her web site at http://chem.ou.edu/~djn/djn.html. Contact Information Dr. Donna Nelson Department of Chemistry University of Oklahoma Norman, OK 73072 [email protected] 405-325-2288
20
References 1. (a) Gusher of job openings expected in oil industry. Kate Stevens, Business and Technology. May 27,
2007. http://seattletimes.nwsource.com/html/businesstechnology/2003723680_oilworkers27.html (b) 'Great crew change' looms: thanks to major studies, the petroleum industry is forewarned, hence forearmed, for filling professional and technical workforce requirements. Oil & Gas Investor. Feb 1, 2006. www.accessmylibrary.com/comsite5/bin/pdinventory.pl?pdlanding=1&referid=2930&purchase_type=ITM&item_id=0286-13759724 . (c) Quantifying the Workforce Crisis in Upstream Oil and Gas. Christine A. Resler. SPE: Talent & Technology. 2007, Vol. 1, No 3, and references cited therein. www.spe.org/spe-app/spe/tt/vol1/no3/workforce.htm# . Accessed Oct 10, 2007.
2. (a) U.S. Census Bureau, Population Division, DP-1. Profile of General Demographic Characteristics: 2000; http://factfinder.census.gov/servlet/QTTable?_bm=y&-geo_id=01000US&-qr_name=DEC_2000_SF1_U_DP1&-ds_name=DEC_2000_SF1_U . (b) U.S. Census Bureau, Race and Hispanic or Latino Origin by Age and Sex for the United States: 2000. www.census.gov/population/www/cen2000/phc-t08.html (c) U.S. Census Bureau, Overview of Race and Hispanic Origin: Census 2000 Brief. http://www.census.gov/prod/2001pubs/c2kbr01-1.pdf
(d) U.S. Census Bureau, Population Division, 1980 Census of Population, General Social and Economic Characteristics of the Population, PC80-1-C1 (Dec 1983), p. 74-75; www2.census.gov/prod2/decennial/documents/1980a_usC-01.pdf .
(e) 2020 estimate: U.S. Census Bureau, Population Projections Branch, U.S. Interim Projections by Age, Sex, Race, and Hispanic Origin. May 11, 2004; www.census.gov/ipc/www/usinterimproj/usproj2000-2050.xls . Accessed Oct 10, 2007.
3. National Science Foundation, Division of Science Resources Statistics, Academic Research and Development Expenditures: Fiscal Year 2004, NSF 06-323, Project Officer, Ronda Britt (Arlington, VA 20006); www.nsf.gov/statistics/nsf06323/tables.htm Accessed Oct 10, 2007.
4. The Quiet Crisis. America’s Economic and National Security at Risk. Shirley Ann Jackson. www.rpi.edu/homepage/quietcrisis/index.html Accessed Oct 10, 2007.
5. “Faculty diversification not progressing in chemistry.” Paul Walter. American Association of University Professors. Dec 2001. www.findarticles.com/p/articles/mi_qa3860/is_200111/ai_n9008326 Accessed Oct 10, 2007.
6. US Census Bureau, Population Division, Annual Estimates of the Population by Sex, Race, and Hispanic or Latino Origin for the United States: April 1, 2000 to July 1, 2006, NC-EST2006-03 (May 17, 2007); www.census.gov/popest/national/asrh/NC-EST2006-srh.html The URM population does not exactly equal the sum of Blacks, Hispanics, and Native Americans because this would double count Hispanic Blacks and Hispanic Native Americans. Accessed Oct 10, 2007.
7. (a) “A Girl Like Me.” Youth Documentary, Kiri Davis, Director, Reel Works Teen Filmmaking, Producer. www.mediathatmattersfest.org/6/a_girl_like_me/ (b) “A Girl Like Me.” YouTube Broadcast. August 13, 2006. www.youtube.com/watch?v=17fEy0q6yqc . Accessed Oct 10, 2007.
8. Arlie Petters. “Math Professor Reaches Out to Minorities” in The Chronicle (Duke University newspaper), Dec 4, 2002. http://belize1.com/BzLibrary/trust566.html Accessed Oct 10, 2007.
9. Johnsrud et al, 1998. “The common experience of “otherness”: Ethnic and Racial Minority Faculty.” Review of Higher Education, Vol. 21, no. 4 (Sum. 1998) pp. 315-42.
10. Turner, V.S.C., et al. “Exploring Underrepresentation: The Case of Faculty of Color in the Midwest.” The Journal of Higher Education, Vol. 70, no. 1. (Jan. - Feb., 1999), pp. 27-59.
11. Thompson, C.J., et al. “Pushed to the Margins: Sources of Stress for African American College and University Faculty.” The Journal of Higher Education, Vol. 69, no. 3. (May - Jun., 1998), pp. 324-345.
12. "A National Analysis of Diversity in Science and Engineering Faculties at Research Universities," Dr. Donna J. Nelson, Diversity in Science Association and University of Oklahoma, Norman, OK. January, 15, 2004. http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/FinalReport07.html ; also known as “The Nelson Diversity Surveys.”
13. Shirley Ann Jackson. Impact of U.S. Supreme Court Affirmative Action Rulings on Programs to Promote Underrepresented Minorities in Science and Engineering: Next Steps, Next Decades. AAAS
21
Headquarters, Washington, D.C. Jan 15, 2004. www.rpi.edu/president/speeches/ps011504-diverse.html . 14. Umbach, P.D. “The contribution of faculty of color to undergraduate education.” Research in Higher
Education. 2006, Vol. 47, 317-345. 15. Trujillo, C. M. “A Comparative Examination of Classroom Interactions between Professors and Minority
and Non-Minority College Students.” American Educational Research Journal. 1986, Vol. 23, No. 4, 629. 16. “The New Backlash on Campus.” Daryl E. Chubin and Shirley M. Malcom. College and University
Journal. 2006, Vol 81, no. 4, 65. www.nacme.org/pdf/The New Backlash on Campus.pdf Accessed Oct 10, 2007.
17. Retention by Design: Achieving Excellence in Minority Engineering Education. Raymond B. Landis. California State University, Los Angeles. Oct., 2005. www.nacme.org/pdf/RetentionByDesign.pdf Accessed Oct 10, 2007.
18. Juarez, C. E. “Recruiting Minority Students for Academic Careers: The Role of Graduate Student and Faculty Mentors.” PS: Political Science and Politics. 1991, Vol. 24, No. 3, 539-540.
19. Stanley C. Israel. Chemical and Engineering News, May 11, 2002, volume 80, number 19, p. 46; http://cheminfo.ou.edu/~djn/diversity/Pubs/ACS_13May2002.html .
20. Aslanbeigui, N., et al. “Foreign Students in U.S. Doctoral Programs.” The Journal of Economic Perspectives. 1998, Vol. 12, no. 3, 171-182.
21. Susan T. Hill. Commission on Professionals in Science and Technology Workshop on Minorities and Non-Minorities in Academia: A Science and Engineering Career Path Comparison. Washington, DC. March 23, 2006. Private communication.
22. Donna J. Nelson. “Diversity in Academia A Look at Gender, Race, and Ethnicity in Science and Engineering Departments.” Congressional Breakfast Briefing, Rayburn House Office Building, Washington, D.C. Oct 11, 2001. http://cheminfo.chem.ou.edu/faculty/djn/diversity/Pubs/Briefing10-11-03.html
23. Beyond Bias and Barriers. National Academy of Sciences. Washington, DC. 2007, pages 16 – 17. 24. (a) Irving P. McPhail. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher
Education.” Newsmaker Media Briefing, National Press Club. Washington, DC. Oct. 31, 2007. (b) Irving P. McPhail. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher Education.” Public Luncheon Briefing, Rayburn House Office Building, Washington, DC. Oct. 31, 2007.
25. (a) Shirley Malcom. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher Education.” Newsmaker Media Briefing, National Press Club. Washington, DC. Oct. 31, 2007. (b) Shirley Malcom. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher Education.” Public Luncheon Briefing, Rayburn House Office Building, Washington, DC. Oct. 31, 2007.
26. (a) Richard A. Tapia. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher Education.” Newsmaker Media Briefing, National Press Club. Washington, DC. Oct. 31, 2007. (b) Richard A. Tapia. “Academic Diversity: A Look at Race, Ethnicity, and Gender in Higher Education.” Public Luncheon Briefing, Rayburn House Office Building, Washington, DC. Oct. 31, 2007.
22
Appendix This includes tables of data on tenured/tenure-
track faculty at the top 100 departments of fifteen science and engineering disciplines by race/ethnicity, by gender, and by rank. There are two tables for each discipline except astronomy. The first table gives data for departments 1 – 50, and the second table gives data for departments 51 - ~100.
There are separate columns for race/ethnicity, and within each race/ethnicity category, there are separate columns for rank. This gives the disaggregation by race/ethnicity and rank.
Data for females are given at each point in the table. In each data entry, the number after the decimal point shows the number of people that are female. For example the total number of tenured and tenure track faculty in the top 50 chemistry departments in FY2007 is 1691.232; this means there are 1691 people, 232 of whom are female.
Data are provided for faculty with appointments in departments of the following disciplines: Table 1 Chemistry Table 2 Mathematics Table 3 Computer Science Table 4 Astronomy Table 5 Physics Table 6 Chemical Engineering Table 7 Civil Engineering Table 8 Electrical Engineering Table 9 Mechanical Engineering Table 10 Economics Table 11 Political Science Table 12 Sociology Table 13 Psychology Table 14 Biological Sciences Table 15 Earth Sciences
Permission and Suggested Citation Permission to use the data in this report, in the original Nelson Diversity Surveys report,[12] and in the Appendix tables herein is granted, provided (1) this report is cited as the source and (2) no charge or fee is associated with anything based on the data in this report, without permission from Donna Nelson. An appropriate formal citation to this report would contain the following information, in any format: Dr. Donna J. Nelson, Christopher N. Brammer, and Heather Rhoads. “A National Analysis of Minorities in Science and Engineering Faculties at Research Universities.” Diversity in Science Association and University of Oklahoma, Norman, OK. October 31, 2007; http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/FinalReport07.html . However, similarly to the report of our FY2002 data, this report may be more casually referred to simply as The 2007 Nelson Diversity Surveys. Addendum An expanded version of Table 3 for URMs and a comparable table for women (Table 15) were used at the National Press Club briefing and the Capitol Hill briefing on October 31, 2007. They were added to this report as a result of requests made at those briefings. These tables enable a direct comparison of increases made by URMs and women, at different points in the academic pipeline, during 5 year periods. In 2010, bar graphs comparing the FY2007 data reported herein versus data collected in FY2002 and FY2005 were added; these data are at http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/FinalReport07.html. Groups examined are females, Blacks, Hispanics, Native Americans, Asians, and White males. These enable tracking changes in faculty demographics over this 5-year period.
This final report of the 2007 faculty survey is available at: http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/FinalReport07.html
Tab
le 1
. T
enu
red
/Ten
ure
Tra
ck F
acu
lty
at th
e T
op 5
0 C
hem
istr
y D
epar
tmen
ts b
y R
ace/
Eth
nic
ity,
by
Gen
der
, an
d b
y R
ank
(FY
200
7)*
Wh
ite
Bla
ckH
isp
anic
Asi
anN
ativ
e A
mer
ican
Tot
alU
niv
ersi
t yFu
llA
ssoc
Ass
tTot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
UC
San
Fra
ncis
co11
1.00
15.
001
17.0
02-
--
01
--
11
--
1-
--
019
.002
UC
Ber
kele
y38
.006
7.00
13
48.0
071
-1
2-
--
0-
-2
2-
--
052
.007
UT
Aus
tin
27.0
016.
001
639
.002
--
-0
--
-0
1-
3.00
24.
002
--
-0
43.0
04C
alif
orni
a In
st T
ech
20.0
021
122
.002
--
11
1-
-1
11.
001
1.00
13.
002
--
-0
27.0
04Pe
nns y
lvan
ia S
t15
.002
6.00
15.
003
26.0
06-
--
0-
--
02
--
2-
--
028
.006
Har
vard
13.0
011
216
.001
--
-0
1-
12
4.00
1-
-4.
001
--
-0
22.0
02IL
Urb
ana-
Cha
mpa
ign
26.0
044.
001
6.00
136
.006
--
-0
1-
-1
1-
-1
--
-0
38.0
06M
IT19
.003
4.00
14.
001
27.0
05-
--
0-
--
01
11.
001
3.00
1-
--
030
.006
Cor
nell
22.0
024
329
.002
1-
-1
1-
-1
1-
45
--
-0
36.0
02U
CL
A34
.006
5.00
13.
002
42.0
09-
1-
11
--
11
12.
001
4.00
1-
--
048
.010
UC
San
Die
go33
.006
-12
45.0
06-
--
02.
001
--
2.00
13
24.
001
9.00
1-
--
056
.008
Tex
as A
&M
33.0
043
440
.004
1-
-1
2-
-2
--
3.00
13.
001
--
-0
46.0
05W
ashi
ngto
n27
.002
2.00
15
34.0
032
--
2-
--
03
12.
001
6.00
1-
--
042
.004
Stan
ford
14.0
013
2.00
119
.002
--
-0
--
-0
21
-3
--
-0
22.0
02M
assa
chus
etts
10.0
016.
001
2.00
118
.003
--
-0
-2.
001
-2.
001
-2
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--
-0
22.0
04N
orth
wes
tern
23.0
012.
001
126
.002
--
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-0
-1
1.00
12.
001
--
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28.0
03W
isco
nsin
Mad
iso n
26.0
022
6.00
234
.004
--
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1-
56
--
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40.0
04R
utge
rs27
.006
4.00
24
35.0
081
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1-
1.00
1-
1.00
13.
001
--
3.00
1-
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040
.010
Nor
th C
arol
ina
23.0
028.
002
132
.004
-1.
001
-1.
001
--
-0
-1
12
--
-0
35.0
05In
dia
na14
4.00
24
22.0
02-
--
0-
-1
12
14
7-
--
030
.002
Col
orad
o23
.003
1.00
18.
001
32.0
05-
--
02
--
21
11
3-
--
037
.005
Mic
higa
n17
.001
7.00
211
.004
35.0
071
--
1-
--
01
1-
2-
--
038
.007
Geo
rgia
Tec
h21
.001
9.00
15.
002
35.0
04-
-1
11
11
31
--
1-
--
040
.004
Ohi
o St
20.0
035
429
.003
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-0
1.00
1-
-1.
001
6-
28
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-0
38.0
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orid
a S t
14.0
029.
001
6.00
129
.004
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-0
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11
12.
002
25.
002
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-0
35.0
06U
tah
21.0
023
4.00
128
.003
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1.00
11.
001
11.
001
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001
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31.0
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19.0
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129
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1-
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-1.
001
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001
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32.0
04M
ichi
gan
S t20
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10.0
012
32.0
031
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2-
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136
.003
Pitt
sbur
g h11
8.00
27.
001
26.0
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001
4.00
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Flor
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24.0
0113
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5.00
242
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-1.
001
-1.
001
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-0
--
33
--
-0
46.0
06Pu
rdue
29.0
048.
003
4.00
141
.008
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-1
11.
001
-2.
001
33.
001
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18.
002
--
-0
52.0
11Pr
ince
ton
192.
002
324
.002
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-0
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-0
--
11
--
-0
25.0
02Pe
nns y
lvan
ia22
.002
4.00
13
29.0
03-
--
0-
--
01
11.
001
3.00
11
--
133
.004
Min
neso
ta22
.002
8.00
14.
002
34.0
05-
--
0-
1-
13
--
3-
--
038
.005
SUN
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uffa
lo22
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34.
001
29.0
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1.00
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John
s H
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002
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--
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Ari
zona
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25.0
017.
001
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11
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002
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46.0
08V
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nia
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16.0
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29.0
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002
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chem
ical
res
earc
h ex
pend
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es F
Y20
04, N
SF, w
ww
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/st
atis
tics
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f063
23/
tabl
es.h
tm#r
d7;
num
bers
aft
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als
des
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te fe
mal
es.
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t lea
st s
ome
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e fr
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ourc
es o
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epar
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t cha
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Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp:/
/ch
emin
fo.c
hem
.ou.
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facu
lty/
djn
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sity
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y ch
emic
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sear
ch e
xpen
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Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
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; num
bers
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te fe
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es.
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t lea
st so
me
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ther
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ent c
hair.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
-B.
Ten
ured
/Ten
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Tra
ck F
acul
ty a
t Che
mis
try
Dep
artm
ents
No.
51
- 100
by
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thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
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85.
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35.0
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45.0
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110
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lon*
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orad
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#21
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002
39.0
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12
3-
--
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kefe
ller*
*9
--
9-
--
0-
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--
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Penn
s ylv
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.001
3.00
1-
25.0
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--
01
--
1-
--
026
.002
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phis
10.0
011
6.00
117
.002
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-1
1.00
1-
1.00
12.
002
41.
001
16.
001
--
-0
26.0
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xas A
&M
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pus C
hris
ti1
4.00
21.
001
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02.
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11
4.00
1-
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--
011
.004
Col
orad
o#21
.003
7.00
27.
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35.0
061
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21
3-
--
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.006
Neb
rask
a**
20.0
039.
002
4.00
233
.007
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11
-2
--
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35.0
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C D
avis
**#
31.0
038.
003
1.00
140
.007
--
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9.00
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8.00
317
.005
--
-0
58.0
12M
ath/
Stat
istic
s Tot
al15
08.0
9637
3.05
928
6.07
621
67.2
3115
.003
46.
001
25.0
0424
.006
8.00
24.
001
36.0
0920
8.02
292
.013
143.
045
443.
080
01
01
2672
.324
Perc
ent w
ithin
rac
e70
%17
%13
%10
0%60
%16
%24
%10
0%67
%22
%11
%10
0%47
%21
%32
%10
0%0%
100%
0%10
0%Pe
rcen
t of g
rand
tota
l56
.4%
14.0
%10
.7%
81.1
%0.
6%0.
1%0.
2%0.
9%0.
9%0.
3%0.
1%1.
3%7.
8%3.
4%5.
4%16
.6%
0%0.
0%0%
0.0%
100%
Fem
ales
in c
olum
n6.
4%15
.8%
26.6
%10
.7%
20.0
%0%
16.7
%16
.0%
25.0
%25
.0%
25.0
%25
.0%
10.6
%14
.1%
31.5
%18
.1%
0%0%
0%0%
12.1
%*B
y m
ath
rese
arch
exp
endi
ture
s FY
2002
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. *
*At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an d
epar
tmen
t cha
ir.#
Incl
udes
dat
a fr
om m
ore
than
one
type
of m
ath
depa
rtmen
t.
Ref
eren
ce: "
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 2
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 M
ath
& S
tatis
tics D
epar
tmen
ts b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Tab
le 2
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Mat
h &
Sta
tistic
s Dep
artm
ents
No.
51-
100
by R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tIo
wa #
277.
003
3.00
337
.006
-1
-1
2-
-2
111.
001
517
.001
--
-0
57.0
07N
ew Je
rse y
Inst
Tec
h10
.001
11.0
016
27.0
02-
1-
11
1.00
1-
2.00
14
44
12-
--
042
.003
Wes
tern
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higa
n#16
.004
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53.
001
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101
--
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--
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001
12
6.00
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--
035
.011
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ida
St#
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001
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11
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001
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112
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-0
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assa
chus
etts
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hers
t14
69.
001
29.0
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11
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2.00
11
14.
002
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--
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.004
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inia
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h**#
35.0
019.
001
7.00
251
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11
17.
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03
14.
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--
047
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ne**
#18
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23
27.0
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010
.001
12
13.0
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--
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vard
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-14
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001
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001
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043
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gan
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11
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--
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21
11
3-
--
021
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Y B
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lo15
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77
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04
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002
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--
039
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ton
U16
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26
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--
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--
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ssel
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e#22
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14
31.0
011
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-4.
002
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ona
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004
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h#18
7.00
18.
001
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13
12.
001
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--
040
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h29
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13.
001
36.0
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--
12
31
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--
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th C
arol
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pel H
ill21
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25.
001
28.0
031
--
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--
01
11
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--
032
.003
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e n4
1-
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--
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--
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mso
n15
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18.
004
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12
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16
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--
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sian
a St
333.
001
10.0
0146
.002
11
-2
--
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--
22
--
11
51.0
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erm
ont
12.0
011
518
.001
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--
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ew M
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o**
19.0
015.
002
2.00
126
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001
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ter n
19.0
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001
427
.002
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t5
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002
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13.
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ia S
t Dom
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rego
n St
#19
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74.
002
32.0
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--
11
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12.
002
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--
037
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Not
re D
ame
18.0
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129
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28.
001
--
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ckso
n St
ate
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12
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001
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13.
001
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001
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isso
uri C
olum
bia*
*27
.002
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3-
34.0
05-
--
0-
--
04.
001
31
8.00
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--
042
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ta B
arba
ra#
22.0
017.
003
433
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11
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14.
001
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11
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001
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n D
iego
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65.
002
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418
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21
25
22.
001
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001
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olum
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New
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k** #
23.0
013
14.0
0440
.005
--
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11
52.
001
512
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n Jo
se S
t21
.006
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001
27.0
09-
--
0-
--
03
2.00
11
6.00
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--
033
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a4
7.00
11
12.0
01-
--
0-
--
0-
--
0-
-1
113
.001
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e Fo
res t
9.00
13
3.00
115
.002
--
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--
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11.
001
--
-0
--
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16.0
03M
onta
na S
t Boz
eman
139.
003
3.00
125
.004
--
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-0
--
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on**
12.0
019
6.00
127
.002
--
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--
-0
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--
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32.0
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*12
-12
.002
24.0
02-
--
0-
--
0-
-2
2-
--
026
.002
Tenn
esse
e19
.001
4.00
1-
23.0
02-
--
0-
--
05
1-
6-
--
029
.002
Van
derb
ilt15
5.00
112
.001
32.0
02-
--
0-
--
03.
001
14
8.00
1-
--
040
.003
Wis
cons
in M
ilwau
kee
1211
.002
5.00
128
.003
--
-0
--
11
23
-5
--
-0
34.0
03N
orfo
lk S
t1
1-
21
32
6-
--
03
-3
6-
--
014
Kan
sas S
t#18
64.
001
28.0
01-
--
0-
1.00
14.
002
5.00
32
22.
001
6.00
1-
--
039
.005
Cal
Tec
h12
11.
001
14.0
01-
--
0-
--
02.
001
--
2.00
1-
--
016
.002
Loui
sian
a La
faye
tte4
1.00
11
6.00
1-
--
0-
-1
15.
001
-3.
001
8.00
2-
--
015
.003
Portl
and
St10
.003
44.
002
18.0
05-
--
01
-1
22
21
5-
--
025
.005
Mon
tana
**10
.001
7.00
23.
002
20.0
05-
-1
1-
--
0-
--
0-
--
021
.005
US
Nav
al A
cade
my*
*26
.003
12.0
057.
003
45.0
11-
--
0-
--
0-
--
0-
--
045
.011
Mat
h/St
atis
tics T
otal
777.
055
273.
064
230.
059
1280
.178
1413
.001
12.0
0239
.003
167.
003
15.0
0438
.007
133.
010
53.0
1086
.022
272.
042
00
22
1631
.230
Perc
ent w
ithin
rac
e61
%21
%18
%10
0%36
%33
%31
%10
0%42
%18
%39
%10
0%49
%19
%32
%10
0%0%
0%10
0%10
0%Pe
rcen
t of g
rand
tota
l47
.6%
16.7
%14
.1%
78.5
%0.
9%0.
8%0.
7%2.
4%1.
0%0.
4%0.
9%2.
3%8.
2%3.
2%5.
3%16
.7%
0%0%
0.1%
0.1%
100%
Fem
ales
in c
olum
n7.
1%23
.4%
25.7
%13
.9%
0%7.
7%16
.7%
7.7%
0%42
.9%
26.7
%18
.4%
7.5%
18.9
%25
.6%
15.4
%0%
0%0%
0%14
.1%
*By
mat
h re
sear
ch e
xpen
ditu
res F
Y20
02, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
dep
artm
ent c
hair.
#In
clud
es d
ata
from
mor
e th
an o
ne ty
pe o
f mat
h de
partm
ent.
R
efer
ence
: "Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 3
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 C
ompu
ter
Scie
nce
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Illin
ois U
rb C
ham
p14
.002
9.00
115
.001
38.0
04-
--
03
--
33.
001
2.00
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135
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111
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18
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113
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0%0%
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Perc
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tal
38.8
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16.1
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13.5
%*B
y co
mpu
ter s
cien
ce re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
de
partm
ent c
hair.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 3
-B.
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ured
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ure
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ck F
acul
ty a
t Com
pute
r Sc
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e D
epar
tmen
ts N
o. 5
1 - 1
00 b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
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y R
ank
(FY
200
7)*
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teB
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pani
cA
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Nat
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anT
otal
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65.
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218
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104
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35.
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211
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51
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66.
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315
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56.
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42
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410
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001
52.
001
11.0
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21
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tate
45.
001
211
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--
-0
--
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56
--
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17.0
01C
ompu
ter
Scie
nce
Tot
al30
5.02
819
4.02
314
1.02
864
0.07
91.
001
47.
002
12.0
038
6.00
25
19.0
0210
9.00
586
.010
126.
028
321.
043
01
01
993.
127
Perc
ent w
ithin
rac
e48
%30
%22
%10
0%8%
33%
58%
100%
42%
32%
26%
100%
34%
27%
39%
100%
0%10
0%0%
100%
Perc
ent o
f gra
nd to
tal
30.7
%19
.5%
14.2
%64
.5%
0.1%
0.4%
0.7%
1.2%
0.8%
0.6%
0.5%
1.9%
11.0
%8.
7%12
.7%
32.3
%0%
0.1%
0%0.
1%10
0%Fe
mal
es in
col
umn
9.2%
11.9
%19
.9%
12.3
%10
0%0%
28.6
%25
.0%
0%33
.3%
0%10
.5%
4.6%
11.6
%22
.2%
13.4
%0%
0%0%
0%12
.8%
*By
com
pute
r sci
ence
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
:"Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 4
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 4
0 A
stro
nom
y D
epar
tmen
ts b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tA
rizon
a16
.003
8.00
11
25.0
04-
--
01
--
1-
11
2-
--
028
.004
John
s Ho p
kins
14.0
01-
-14
.001
--
-0
--
-0
--
-0
--
-0
14.0
01U
C S
anta
Cru
z17
.003
21.
001
20.0
04-
--
0-
-1
13
--
3-
--
024
.004
Chi
cago
266.
001
234
.001
--
-0
--
-0
--
1.00
11.
001
--
-0
35.0
02C
orne
l l20
.001
23.
001
25.0
02-
--
0-
--
0-
1-
1-
--
026
.002
Col
orad
o14
.001
4.00
14.
001
22.0
03-
--
0-
--
0-
--
0-
--
022
.003
Haw
aii M
anoa
24.0
043
229
.004
--
-0
--
-0
2.00
11
14.
001
--
-0
33.0
05M
I T13
.002
35
21.0
02-
--
0-
-1
1-
1-
1-
--
023
.002
UT
Aus
ti n14
.001
1.00
12
17.0
02-
--
0-
--
01.
001
-2.
001
3.00
2-
--
020
.004
Penn
Sta
te10
.001
22
14.0
011.
001
--
1.00
11
--
1-
--
0-
--
016
.002
Mar
ylan
d C
olle
ge P
ark
9.00
15
115
.001
--
-0
--
-0
--
-0
--
-0
15.0
01U
C B
erke
ley
11.0
011
214
.001
1-
-1
--
-0
1.00
11
-2.
001
--
-0
17.0
02M
assa
chus
etts
Am
hers
t9.
002
4.00
22
15.0
04-
--
0-
--
0-
31
4-
--
019
.004
CA
Inst
itute
of T
ech.
11.0
03-
2.00
113
.004
--
-0
--
-0
11
-2
--
-0
15.0
04W
isco
nsin
5.00
23.
001
3.00
111
.004
1-
-1
--
-0
--
-0
--
-0
12.0
04C
olum
bia
New
Yor
k 9.
002
4.00
27.
002
20.0
06-
--
0-
--
0-
2.00
1-
2.00
1-
--
022
.007
UC
San
Die
go9.
002
-3
12.0
02-
--
0-
--
01
--
1-
--
013
.002
Prin
ceto
n14
.002
-2.
001
16.0
03-
--
0-
--
0-
--
0-
--
016
.003
Illin
ois U
rban
a-C
ham
paig
n5
43
12-
--
0-
--
01.
001
-1
2.00
1-
--
014
.001
Ohi
o St
9.00
13.
001
3.00
115
.003
--
-0
--
-0
11.
001
-2.
001
--
-0
17.0
04H
arva
r d14
.001
12
17.0
01-
--
01
--
11
-1.
001
2.00
1-
--
020
.002
Was
hin g
ton
8.00
21.
001
211
.003
--
-0
--
-0
--
-0
--
-0
11.0
03Fl
orid
a9.
001
4.00
11
14.0
02-
--
0-
-1
11
--
1-
--
016
.002
SUN
Y S
ton y
Bro
ok
7-
18
-1
-1
--
-0
--
-0
--
-0
9M
inne
sota
8.00
1-
-8.
001
1-
-1
--
-0
-1.
001
-1.
001
--
-0
10.0
02V
ir gin
ia9
12.
001
12.0
01-
--
0-
--
01
1-
2-
--
014
.001
Mic
higa
n5
-8.
004
13.0
04-
--
01.
001
--
1.00
1-
--
0-
--
014
.005
Pitts
bur g
h4.
001
2-
6.00
1-
--
0-
--
0-
--
0-
--
06.
001
Roc
hest
e r7.
001
1.00
1-
8.00
2-
--
0-
--
0-
--
0-
--
08.
002
Iow
a2
21.
001
5.00
1-
--
0-
--
0-
--
0-
--
05.
001
New
Mex
ico
S t4
22.
001
8.00
1-
--
0-
--
0-
--
0-
--
08.
001
Yal
e7
1-
8-
--
0-
--
01.
001
1.00
1-
2.00
2-
--
010
.002
Indi
ana
5.00
21
1.00
17.
003
--
-0
--
-0
--
-0
--
-0
7.00
3B
osto
n11
3.00
11.
001
15.0
02-
--
0-
--
01
--
1-
--
016
.002
Ariz
ona
S t4
11
6-
--
0-
--
0-
1.00
1-
1.00
1-
--
07.
001
Ric
e1
24
7-
--
0-
--
01
--
1-
--
08
Sout
hern
Cal
iforn
ia2
1.00
1-
3.00
1-
--
0-
--
0-
--
0-
--
03.
001
Cas
e W
este
rn R
eser
v e3.
001
-1.
001
4.00
2-
--
0-
--
0-
--
0-
--
04.
002
Del
awar
e9
12
12-
1.00
1-
1.00
1-
--
01
--
1-
--
014
.001
MS
Stat
e2
-1.
001
3.00
1-
--
0-
--
0-
--
0-
--
03.
001
Ast
rono
my
Tot
al38
0.04
379
.015
80.0
2053
9.07
84.
001
2.00
10
6.00
24.
001
03
7.00
118
.005
16.0
058.
003
42.0
130
00
059
4.09
4Pe
rcen
t with
in r
ace
70%
15%
15%
100%
67%
33%
0%10
0%57
%0%
43%
100%
43%
38%
19%
100%
0%0%
0%0%
Perc
ent o
f gra
nd to
tal
64.0
%13
.3%
13.5
%90
.7%
0.7%
0.3%
0%1.
0%0.
7%0%
0.5%
1.2%
3.0%
2.7%
1.3%
7.1%
0%0%
0%0%
100%
Fem
ales
in c
olum
n11
.3%
19.0
%25
.0%
14.5
%25
.0%
50.0
%0%
33.3
%25
.0%
0%0%
14.3
%27
.8%
31.2
%37
.5%
31.0
%0%
0%0%
0%15
.8%
*By
astro
nom
y re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF,
ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7;
num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
Ref
eren
ce: "
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 5
. T
enu
red
/Ten
ure
Tra
ck F
acu
lty
at th
e T
op 5
0 P
hys
ics
Dep
artm
ents
by
Rac
e/E
thn
icit
y, b
y G
end
er, a
nd
by
Ran
k (F
Y 2
007)
*W
hit
eB
lack
His
pan
icA
sian
Nat
ive
Am
eric
anT
otal
Un
iver
sit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Cal
ifor
nia
Inst
Tec
h49
.003
6.00
16.
001
61.0
05-
--
0-
--
05.
002
1-
6.00
2-
--
067
.007
UC
Ber
kele
y30
.003
9.00
26.
001
45.0
06-
--
01
--
19
13
13-
--
059
.006
MIT
37.0
0313
18.0
0268
.005
--
-0
1-
-1
41
27
--
-0
76.0
05Jo
hns
Hop
kins
11.0
01-
7.00
118
.002
--
-0
--
-0
3-
-3
--
-0
21.0
02C
orne
ll28
.001
47.
001
39.0
02-
--
01
--
14
1.00
1-
5.00
1-
--
045
.003
Mic
higa
n S t
39.0
016.
001
9.00
254
.004
--
-0
--
1.00
11.
001
4-
15
--
-0
60.0
05U
T A
usti
n40
.001
3.00
14.
001
47.0
03-
--
01
--
15
13.
001
9.00
1-
--
057
.004
UC
LA
44.0
045
8.00
157
.005
--
-0
--
-0
4-
15
--
-0
62.0
05Fl
orid
a S t
195.
002
11.0
0135
.003
2-
-2
1-
1.00
12.
001
15
-6
--
-0
45.0
04M
D C
olle
ge P
ark
45.0
035.
001
7.00
257
.006
1-
-1
1-
12
131.
001
2.00
116
.002
--
-0
76.0
08In
dia
na26
.001
410
.002
40.0
03-
--
01
--
1-
--
0-
--
041
.003
Penn
s ylv
ania
St
21.0
023
9.00
333
.005
--
11
11
-2
8.00
1-
3.00
111
.002
--
-0
47.0
07C
entr
al F
lori
da*
*13
710
.001
30.0
01-
--
0-
-1
15.
002
12
8.00
2-
--
039
.003
Illin
ois
Urb
-Cha
m39
.001
10.0
049.
001
58.0
061
-1.
001
2.00
1-
--
04
1-
5-
--
065
.007
Wis
cons
in M
adis
o n33
.004
210
.002
45.0
06-
--
0-
--
03.
001
32
8.00
1-
--
053
.007
Col
orad
o26
.003
58.
002
39.0
05-
--
0-
--
03
1-
4-
--
043
.005
UC
San
Die
go27
.001
13
31.0
01-
--
03
--
33
--
3-
--
037
.001
Flor
ida
288
5.00
241
.002
--
-0
-1
-1
3.00
11
37.
001
--
-0
49.0
03SU
NY
Sto
n y B
rook
38.0
014.
001
547
.002
--
-0
11.
001
-2.
001
2-
13
--
-0
52.0
03M
issi
ssip
p i5
34
12-
--
0-
--
0-
--
0-
--
012
Mic
higa
n25
.003
86
39.0
031
-1
21
-1
22.
001
11
4.00
1-
--
047
.004
Rut
gers
40.0
045
7.00
152
.005
--
-0
1-
-1
5.00
12
-7.
001
--
-0
60.0
06Pe
nns y
lvan
ia20
.001
34.
004
27.0
051
--
1-
-1
12.
001
32
7.00
1-
--
036
.006
Tex
as A
&M
38.0
035
5.00
148
.004
--
-0
--
11
42
17
--
-0
56.0
04H
arva
rd**
43.0
05-
5.00
148
.006
--
11
--
-0
22.
001
-4.
001
--
-0
53.0
07Pr
ince
ton
24.0
022
8.00
134
.003
--
-0
--
-0
2-
24
--
-0
38.0
03O
hio
St34
67.
001
47.0
01-
--
0-
--
09.
002
12
12.0
02-
--
059
.003
Was
hing
ton
34.0
036.
001
343
.004
--
-0
1-
-1
-1
-1
--
-0
45.0
04N
orth
Car
olin
a St
22.0
029.
002
5.00
236
.006
--
-0
-1.
001
-1.
001
--
-0
--
-0
37.0
07U
C S
anta
Bar
bara
35.0
025.
002
343
.004
--
-0
--
11
--
11
--
-0
45.0
04D
uke
114.
001
6.00
121
.002
1-
-1
--
-0
33.
001
2.00
18.
002
--
-0
30.0
04M
inne
sota
26.0
028
640
.002
--
-0
1-
-1
21
-3
--
-0
44.0
02C
hica
go24
.001
-5.
001
29.0
02-
--
0-
-1
13.
001
12.
001
6.00
2-
--
036
.004
Stan
ford
22.0
033.
002
3.00
128
.006
--
-0
1-
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3-
14
--
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33.0
06U
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vine
19.0
017.
001
12.0
0238
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--
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--
-0
5.00
11
-6.
001
--
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44.0
05Y
ale
22.0
012.
001
9.00
233
.004
11
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--
-0
1-
-1
--
-0
36.0
04N
orth
east
ern
114
5.00
220
.002
--
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--
-0
41
-5
-1
-1
26.0
02G
eorg
ia T
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156
7.00
228
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--
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--
-0
2.00
1-
24.
001
--
-0
32.0
03Io
wa
18.0
011
423
.001
1-
-1
--
-0
1.00
1-
-1.
001
--
-0
25.0
02T
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ssee
24.0
011
5.00
130
.002
--
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3.00
1-
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001
3-
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--
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36.0
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t Boz
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85.
001
114
.001
--
-0
--
-0
1.00
1-
1.00
12.
002
--
-0
16.0
03W
a yne
Sta
te12
.001
62
20.0
01-
--
0-
--
05.
001
12
8.00
1-
--
028
.002
Illin
ois
Inst
Tec
h9
32.
001
14.0
01-
--
0-
--
0-
--
0-
--
014
.001
UC
San
ta C
ruz
13.0
012
116
.001
--
-0
--
-0
2-
13
--
-0
19.0
01V
and
erbi
l t19
.001
44.
001
27.0
02-
-1
1-
-1
1-
--
0-
--
029
.002
Kan
sas
St12
16.
001
19.0
01-
--
0-
--
07.
002
2-
9.00
2-
--
028
.003
Neb
rask
a12
5.00
14
21.0
01-
--
0-
-1
12
1.00
1-
3.00
1-
--
025
.002
Not
re D
ame
25.0
045
6.00
136
.005
--
-0
--
-0
--
11
--
-0
37.0
05W
ashi
ngto
n St
74.
002
213
.002
--
-0
--
-0
21
-3
--
-0
16.0
02B
row
n11
6.00
15.
002
22.0
03-
--
0-
--
02
11
4-
--
026
.003
Ph
ysic
s T
otal
1233
.075
229.
028
304.
055
1766
.158
91
5.00
115
.001
20.0
014.
002
11.0
0235
.005
157.
020
43.0
0545
.006
245.
031
01
01
2062
.195
Per
cen
t wit
hin
rac
e70
%13
%17
%10
0%60
%7%
33%
100%
57%
11%
31%
100%
64%
18%
18%
100%
0%10
0%0%
100%
Per
cen
t of
gran
d to
tal
59.8
%11
.1%
14.7
%85
.6%
0.4%
0.0%
0.2%
0.7%
1.0%
0.2%
0.5%
1.7%
7.6%
2.1%
2.2%
11.9
%0%
0.0%
0%0.
0%10
0%Fe
mal
es in
col
um
n6.
1%12
.2%
18.1
%8.
9%0%
0%20
.0%
6.7%
5.0%
50.0
%18
.2%
14.3
%12
.7%
11.6
%13
.3%
12.7
%0%
0%0%
0%9.
5%*B
y ph
ysic
s re
sear
ch e
xpen
dit
ures
FY
2004
, NSF
, ww
w.n
sf.g
ov/
stat
isti
cs/
nsf0
6323
/ta
bles
.htm
#rd
7; n
umbe
rs a
fter
dec
imal
s d
esig
nate
fem
ales
. *
*At l
east
som
e d
ata
are
from
sou
rces
oth
er th
and
epar
tmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp:/
/ch
emin
fo.c
hem
.ou.
edu/
facu
lty/
djn
/d
iver
sity
/to
p50.
htm
l
Tab
le 5
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Phy
sics
Dep
artm
ents
No.
51
- 100
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
an
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tN
ew Je
rse y
Inst
Tec
h6
24.
001
12.0
011
--
1-
--
03
-2
5-
--
018
.001
Nor
thw
este
r n15
.001
3.00
12
20.0
02-
--
0-
1.00
1-
1.00
15
1.00
1-
6.00
1-
--
027
.004
Ric
e17
.002
44
25.0
02-
--
0-
--
03
-2.
001
5.00
1-
--
030
.003
Loui
sian
a St
206
5.00
131
.001
--
-0
22.
001
15.
001
2-
13
1-
-1
40.0
02Ill
inoi
s Chi
cago
97.
001
4.00
120
.002
--
-0
1-
-1
21.
001
-3.
001
--
-0
24.0
03Pu
rdue
29.0
024.
001
11.0
0144
.004
--
-0
-1
-1
32
16
--
-0
51.0
04N
evad
a R
eno
54.
001
110
.001
--
-0
1-
-1
--
-0
--
-0
11.0
01R
oche
ste r
44.0
034.
002
351
.005
--
-0
--
-0
--
-0
--
-0
51.0
05B
osto
n21
44
29-
--
01
1-
23.
002
3.00
2-
6.00
4-
--
037
.004
Was
hin g
ton
St L
ouis
181
322
--
-0
--
-0
2-
2.00
14.
001
--
-0
26.0
01C
arne
gie
Mel
lon
23.0
015.
001
-28
.002
--
1.00
11.
001
--
-0
1-
-1
--
-0
30.0
03V
ir gin
ia16
6.00
15
27.0
01-
--
0-
--
02
22.
001
6.00
1-
--
033
.002
Pitts
bur g
h10
10.0
011
21.0
01-
--
0-
--
01
1.00
11
3.00
1-
--
024
.002
CU
NY
Cit y
Col
lege
14.0
022
218
.002
--
-0
-1
12
42
17
--
-0
27.0
02C
olum
bia
19.0
026.
001
328
.003
--
-0
--
-0
12
-3
--
-0
31.0
03M
A L
owel
l10
21
13-
--
0-
--
04
11
6-
--
019
Uta
h16
56
27-
--
0-
-1
12
--
2-
--
030
NC
Cha
pel H
ill16
.002
24.
001
22.0
03-
--
0-
-1
15
1-
6-
--
029
.003
Okl
ahom
a14
.001
9.00
22
25.0
03-
--
01
--
11
2.00
1-
3.00
1-
--
029
.004
Col
orad
o Sc
hool
Min
es7
32
12-
--
0-
--
0-
1-
1-
--
013
Haw
aii M
anoa
102
214
--
-0
--
-0
3-
-3
--
-0
17N
orth
ern
Illin
ois
8.00
36
317
.003
-1
-1
--
-0
-2
13
--
-0
21.0
03M
A A
mhe
rst
14.0
014
523
.001
--
-0
--
-0
31
-4
--
-0
27.0
01U
C D
avis
256.
002
3.00
134
.003
--
-0
--
11
7.00
21
19.
002
--
-0
44.0
05Fi
s k2
--
21
1-
2-
--
0-
1-
1-
--
05
Cat
holic
Am
eric
a5
21
8-
--
0-
--
0-
2-
2-
--
010
Ala
bam
a H
unts
ville
71
311
--
-0
--
-0
2-
-2
--
-0
13C
lem
son
124.
001
7.00
223
.003
--
-0
--
-0
1-
12
--
-0
25.0
03SU
NY
Buf
falo
71.
001
8.00
216
.003
--
-0
1-
-1
7-
512
--
-0
29.0
03C
ol o
f Will
iam
&M
ary
18.0
013.
001
7.00
128
.003
--
-0
--
-0
-1
-1
--
-0
29.0
03A
rizon
a13
.001
57.
001
25.0
02-
--
0-
--
03
22.
001
7.00
1-
--
032
.003
Ariz
ona
S t21
7.00
24.
002
32.0
04-
--
0-
--
02
--
2-
--
034
.004
New
Mex
ico
18.0
013.
001
7.00
128
.003
--
-0
--
-0
--
-0
--
-0
28.0
03O
hio
9.00
15
7.00
121
.002
--
-0
1-
2.00
13.
001
11
-2
--
-0
26.0
03Id
aho
S t5
4.00
13.
001
12.0
02-
--
0-
--
0-
--
0-
--
012
.002
Flor
ida
Inte
rnat
iona
l7
8.00
21
16.0
02-
--
0-
--
01
-3
4-
--
020
.002
Geo
r gia
85
3.00
216
.002
--
-0
--
-0
22
37
--
-0
23.0
02M
issi
ssi p
pi S
t2
-1.
001
3.00
1-
--
0-
--
0-
--
0-
--
03.
001
Lehi
gh11
42
17-
--
0-
--
02
--
2-
--
019
Ark
ansa
s7
2.00
12
11.0
01-
--
0-
--
05.
001
-2.
001
7.00
2-
--
018
.003
Cas
e W
este
r n16
.001
1-
17.0
01-
--
0-
--
01
11.
001
3.00
1-
--
020
.002
Ken
tuck
y16
2.00
12.
001
20.0
02-
--
0-
--
05
1-
6-
--
026
.002
Iow
a S t
20.0
016.
001
733
.002
--
-0
1-
12
2-
13
--
-0
38.0
02So
uth
Car
olin
a12
53.
001
20.0
01-
--
0-
--
05
1.00
1-
6.00
1-
--
026
.002
Ore
gon
166
4.00
126
.001
--
-0
--
-0
4-
15
--
-0
31.0
01To
led o
13.0
022
217
.002
--
-0
-1.
001
-1.
001
12
14
--
-0
22.0
03O
klah
oma
St12
.001
23
17.0
01-
--
0-
-1
15.
001
-2.
002
7.00
3-
--
025
.004
Con
nect
icut
19.0
017
2.00
128
.002
1-
-1
--
-0
31
15
--
-0
34.0
02K
ansa
s11
.001
44
19.0
01-
--
0-
--
02.
001
--
2.00
1-
--
021
.002
Nav
al P
ostg
rad
Scho
ol6.
001
6-
12.0
01-
--
0-
1-
11
1-
2-
--
015
.001
Phys
ics T
otal
679.
032
202.
026
170.
024
1051
.082
32
1.00
16.
001
98.
003
9.00
126
.004
112.
007
39.0
0738
.008
189.
022
10
01
1273
.109
Perc
ent w
ithin
rac
e65
%19
%16
%10
0%50
%33
%17
%10
0%35
%31
%35
%10
0%59
%21
%20
%10
0%10
0%0%
0%10
0%Pe
rcen
t of g
rand
tota
l53
.3%
15.9
%13
.4%
82.6
%0.
2%0.
2%0.
1%0.
5%0.
7%0.
6%0.
7%2.
0%8.
8%3.
1%3.
0%14
.8%
0.1%
0%0%
0.1%
100%
Fem
ales
in c
olum
n4.
7%12
.9%
14.1
%7.
8%0%
0%10
0%16
.7%
0%37
.5%
11.1
%15
.4%
6.3%
17.9
%21
.1%
11.6
%0%
0%0%
0%8.
6%*B
y ph
ysic
s res
earc
h ex
pend
iture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7;
num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 6
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 C
hem
ical
Eng
inee
ring
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Purd
ue11
32.
001
16.0
011
--
11
--
16.
001
11
8.00
1-
--
026
.002
Texa
s A&
M
91
5.00
115
.001
--
-0
2.00
1-
13.
001
1-
6.00
27.
002
--
-0
25.0
04M
I T19
.001
3-
22.0
011.
001
-1.
001
2.00
2-
--
02
11
4-
--
028
.003
Penn
s ylv
ania
St
8.00
13.
001
314
.002
--
-0
--
-0
--
2.00
12.
001
--
-0
16.0
03N
orth
Car
olin
a St
14.0
014.
004
119
.005
1.00
1-
-1.
001
--
-0
--
-0
--
-0
20.0
06G
A T
ech*
*17
63.
001
26.0
01-
--
0-
--
05
2.00
12.
001
9.00
2-
--
035
.003
Cle
mso
n3
61
101
--
1-
-1
11
--
1-
--
013
UT
Aus
ti n15
12.
001
18.0
01-
--
02
--
21
12.
001
4.00
1-
--
024
.002
John
s Ho p
kins
4.00
12
4.00
210
.003
--
-0
1-
12
--
22
--
-0
14.0
03Pr
ince
ton
13.0
01-
215
.001
--
-0
--
-0
2-
-2
--
-0
17.0
01M
inne
sota
24.0
021
7.00
232
.004
--
-0
--
-0
--
-0
--
-0
32.0
04St
anfo
rd6.
001
-1
7.00
1-
--
0-
-1
11
1.00
12.
001
4.00
2-
--
012
.003
Wis
cons
in9.
001
53
17.0
01-
--
01
--
11
--
1-
--
019
.001
Mic
higa
n11
.002
15.
001
17.0
031
-1.
001
2.00
1-
--
02
-2.
001
4.00
1-
--
023
.005
Del
awar
e12
2.00
23
17.0
021
-1
21
--
12
-1.
001
3.00
1-
--
023
.003
Mic
higa
n St
124.
002
319
.002
-2
-2
--
-0
-2.
001
13.
001
1-
-1
25.0
03A
rizon
a S t
33
39
-1
-1
--
-0
1-
-1
--
-0
11U
C D
avis
23
.006
3.00
1-
26.0
07-
--
0-
--
01
-3.
002
4.00
2-
--
030
.009
Sout
h C
arol
ina
94
4.00
117
.001
--
-0
-1
-1
--
-0
--
-0
18.0
01O
hio
St10
.002
-1.
001
11.0
03-
1-
1-
--
04
-1
5-
--
017
.003
Illin
ois U
rb-C
ham
9.00
11
313
.001
--
-0
--
-0
-1
12
--
-0
15.0
01U
C B
erke
ley
12.0
022
1.00
115
.003
--
-0
--
-0
--
11
--
-0
16.0
03Lo
uisi
ana
St8.
001
6.00
11
15.0
02-
--
0-
--
01
--
1-
--
016
.002
NM
Inst
. Min
ing&
Tech
11
-2
--
-0
--
1.00
11.
001
-1
-1
--
-0
4.00
1C
al T
ech
9.00
31
1.00
111
.004
1-
-1
--
-0
2-
13
--
-0
15.0
04U
C S
anta
Bar
bara
14
.001
-2
16.0
01-
--
0-
--
01
1-
2-
--
018
.001
Uta
h6.
001
5.00
12
13.0
02-
--
0-
1-
1-
--
0-
--
014
.002
Mis
siss
i ppi
St
43.
001
4.00
311
.004
--
-0
--
11
--
-0
--
-0
12.0
04A
rizon
a6.
001
4-
10.0
01-
--
02
1.00
1-
3.00
1-
--
0-
--
013
.002
Hou
ston
**10
42
16-
--
01
--
15
2-
7-
--
024
Wes
t Vir g
inia
42
28
--
-0
--
-0
4-
-4
--
-0
12N
orth
wes
ter n
9.00
22
213
.002
--
-0
--
-0
1-
-1
--
-0
14.0
02C
olor
ado
12.0
011.
001
4.00
217
.004
--
-0
--
-0
11
-2
--
-0
19.0
04O
hio
43.
001
-7.
001
--
-0
-1.
001
-1.
001
-2
-2
--
-0
10.0
02Pi
ttsbu
r gh
9.00
13.
001
315
.002
--
-0
--
-0
--
11
--
-0
16.0
02C
arne
gie
Mel
lon
13.0
013
2.00
118
.002
--
-0
1-
-1
1-
12
--
-0
21.0
02W
ashi
n gto
n7.
001
3-
10.0
011
--
1-
--
01
-1.
001
2.00
1-
--
013
.002
Kan
sas S
t7.
001
12.
002
10.0
03-
--
0-
--
01
--
1-
--
011
.003
Neb
rask
a6.
001
3-
9.00
1-
--
01
--
11
1.00
1-
2.00
1-
--
012
.002
CO
Sch
ool o
f Min
es9.
001
21
12.0
01-
--
0-
--
0-
1.00
11
2.00
1-
--
014
.002
Cor
nel l
7.00
12
413
.001
1-
-1
-1
-1
-1
12
--
-0
17.0
01V
A P
olyt
echn
ic4
3.00
12
9.00
1-
--
0-
--
02
-1.
001
3.00
1-
--
012
.002
UC
Los
An g
eles
9-
110
--
-0
--
1.00
11.
001
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1-
14.
001
--
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assa
chus
etts
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hers
t7
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--
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--
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014
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ida
8.00
11
413
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--
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32
49
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12
71
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ssel
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001
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--
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ey T
ech
11-
112
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12
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24
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18Pe
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lvan
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414
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001
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1.00
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001
--
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03C
hem
ical
Eng
Tot
al46
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111
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9.02
268
7.08
210
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55.
002
20.0
0415
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5.00
28.
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28.0
0665
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21.0
0547
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133.
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10
01
869.
112
Perc
ent w
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Fem
ales
in c
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1%23
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12.9
%*B
y ch
emic
al e
ngin
eerin
g re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
depa
rtmen
t cha
ir. R
efer
ence
: "Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 6
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Che
mic
al E
ngin
eeri
ng D
epar
tmen
ts N
o. 5
1 - 8
7 by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
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Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
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Tot
Full
Ass
ocA
sst
Tot
Full
Ass
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sst
Tot
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a5
13.
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i Col
umbi
a1
31
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11
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ton
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ch4
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este
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11
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001
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. Ins
t.7
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004
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Col
lege
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k6.
001
3.00
11
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11
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--
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h Fl
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32
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001
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13
1-
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001
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Tenn
esse
e8
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017
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hica
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21
7-
--
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1-
11
--
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--
09
Roc
hest
e r2
11
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--
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--
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--
08
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12
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1-
11.
001
--
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11
23
6-
--
013
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2.00
1-
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--
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--
0-
1-
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--
08.
001
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gon
St4
6.00
21
11.0
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--
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--
01
1-
2-
--
013
.002
Nor
th D
akot
a1
23
6-
--
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--
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--
0-
--
06
New
Ham
pshi
re3
--
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--
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--
03
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001
4.00
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001
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bam
a H
unts
ville
12
1.00
14.
001
--
-0
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uri R
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16.
001
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001
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hem
ical
Eng
Tot
al17
8.01
079
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1432
0.03
83
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11
7.00
18.
001
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003
15.0
0456
.001
24.0
0421
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010
00
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12.
001
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054
Perc
ent w
ithin
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e56
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*By
chem
ical
eng
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ring
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
: "Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 7
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 C
ivil
Eng
inee
ring
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
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ocA
sst
Tot
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ocA
sst
Tot
Full
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sst
Tot
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ocA
sst
Tot
Texa
s A&
M28
.001
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0317
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061
--
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001
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116.
002
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001
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002
219
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001
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17
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12
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118.
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115
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17.0
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127
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323
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004
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001
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001
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11
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11
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002
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002
11.0
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215
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--
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.002
2.00
123
.004
--
-0
--
-0
--
33
--
-0
26.0
04So
uthe
rn C
alifo
rnia
161
1.00
118
.001
--
-0
--
-0
41
-5
--
-0
23.0
01N
orth
wes
tern
**15
.001
4.00
12.
001
21.0
03-
--
0-
-1
11
-1
2-
--
024
.003
Mis
sour
i Col
umbi
a4
3.00
13
10.0
01-
--
0-
--
02
21
5-
--
015
.001
Civ
il E
ng T
otal
606.
048
278.
042
183.
048
1067
.138
610
.004
9.00
125
.005
26.0
0219
.001
20.0
0565
.008
90.0
0257
.005
65.0
1621
2.02
30
00
013
69.1
74Pe
rcen
t with
in r
ace
57%
26%
17%
100%
24%
40%
36%
100%
40%
29%
31%
100%
42%
27%
31%
100%
0%0%
0%0%
Perc
ent o
f gra
nd to
tal
44.3
%20
.3%
13.4
%77
.9%
0.4%
0.7%
0.7%
1.8%
1.9%
1.4%
1.5%
4.7%
6.6%
4.2%
4.7%
15.5
%0%
0%0%
0%10
0%Fe
mal
es in
col
umn
7.9%
15.1
%26
.2%
12.9
%0%
40.0
%11
.1%
20.0
%7.
7%5.
3%25
.0%
12.3
%2.
2%8.
8%24
.6%
10.8
%0%
0%0%
0%12
.7%
*By
civi
l eng
inee
ring
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
: "Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 7
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Civ
il E
ngin
eeri
ng D
epar
tmen
ts N
o. 5
1-90
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Ore
gon
St6
8.00
24
18.0
02-
--
0-
--
02
11
4-
--
022
.002
Cen
tral F
lorid
a10
.001
32
15.0
01-
1.00
1-
1.00
1-
--
03
11
5-
--
021
.002
Wes
t Virg
inia
35
210
--
-0
--
-0
5-
-5
--
-0
15N
ew M
exic
o S t
4.00
12
1.00
17.
002
--
-0
11
13
2-
13
--
-0
13.0
02W
ashi
ngto
n St
84
6.00
218
.002
--
-0
--
11
22
26
--
-0
25.0
02Pr
ince
ton
81.
001
-9.
001
--
-0
1-
1.00
12.
001
--
1.00
11.
001
--
-0
12.0
03M
issi
ssip
pi S
t4
42
10-
--
0-
--
0-
11
2-
--
012
Vir g
inia
63.
001
-9.
001
1-
-1
--
-0
1-
12
--
-0
12.0
01U
CL A
41
6.00
211
.002
--
-0
--
-0
3-
1.00
14.
001
--
-0
15.0
03G
eorg
e W
ashi
ngto
n5.
004
2.00
11
8.00
5-
--
0-
--
0-
--
0-
--
08.
005
Aub
urn
6.00
18
5.00
219
.003
--
11
--
-0
12
-3
--
-0
23.0
03M
ichi
gan
St2
47.
003
13.0
03-
--
0-
1-
14
32
9-
--
023
.003
Mis
sour
i Rol
la6
62
14-
--
0-
2-
2-
-4
4-
--
020
Car
negi
e M
ello
n5
6.00
31
12.0
03-
--
01
1-
2-
11
2-
--
016
.003
Illin
ois C
hica
go**
52
29
--
-0
--
-0
51
2.00
18.
001
--
-0
17.0
01V
ande
rbilt
53
2.00
110
.001
--
-0
--
-0
--
22
--
-0
12.0
01K
ansa
s St
35
3.00
111
.001
--
-0
--
-0
31
1.00
15.
001
--
-0
16.0
02A
laba
ma
86.
001
115
.001
--
-0
--
-0
2-
24
--
-0
19.0
01N
ew M
exic
o8
2.00
13.
001
13.0
02-
--
0-
--
02
-1
3-
--
016
.002
Duk
e6
74.
001
17.0
01-
1-
12.
001
--
2.00
1-
-1.
001
1.00
1-
--
021
.003
Ohi
o2.
002
33
8.00
2-
-0
1-
-1
22
-4
--
-0
13.0
02Fl
orid
a St
**1
1.00
13.
001
5.00
21
22
5-
--
01
12.
001
4.00
1-
--
014
.003
Dar
tmou
th C
**6
3.00
11
10.0
01-
--
0-
--
0-
--
0-
--
010
.001
Okl
ahom
a St
65.
001
112
.001
--
-0
--
-0
11
24
--
-0
16.0
01A
laba
ma
Hun
tsvi
lle2
2.00
11.
001
5.00
2-
--
0-
--
0-
--
0-
--
05.
002
Sout
h C
arol
ina
15.
001
6.00
112
.002
--
-0
--
11
22
-4
--
-0
17.0
02D
rexe
l7.
001
34.
002
14.0
03-
--
0-
--
01
2.00
11.
001
4.00
2-
--
018
.005
Bro
wn
31.
001
-4.
001
--
-0
--
-0
--
-0
--
-0
4.00
1W
oods
Hol
e O
cean
Inst
12.0
0314
.002
8.00
234
.007
--
-0
-1
-1
21.
001
-3.
001
--
-0
38.0
08R
ice
51
2.00
18.
001
--
-0
1-
12
2-
1.00
13.
001
--
-0
13.0
02Pe
nnsy
lvan
ia**
10.0
02-
-10
.002
--
-0
--
-0
1-
2.00
13.
001
--
-0
13.0
03U
tah
St11
7.00
15.
002
23.0
03-
--
01
-1
21
11
3-
--
028
.003
Pitts
bur g
h2
34.
001
9.00
1-
--
01
--
11
2.00
1-
3.00
1-
--
013
.002
Hou
ston
**1
4.00
13.
001
8.00
2-
--
0-
--
04
2-
6-
--
014
.002
Old
Dom
inio
n3
1.00
11
5.00
1-
--
0-
--
06
1.00
1-
7.00
1-
--
012
.002
Day
ton
2.00
21.
001
47.
003
--
22
--
-0
--
-0
--
-0
9.00
3C
olum
bia
NY
6.00
11
18.
001
--
-0
--
-0
11
13
--
-0
11.0
01C
ase
Wes
tern
51
1.00
17.
001
--
-0
--
-0
1-
12
--
-0
9.00
1U
S A
ir Fo
rce
Aca
d2
39.
001
14.0
01-
--
0-
--
0-
-3.
001
3.00
1-
--
017
.002
Nor
th D
akot
a-
22
4-
--
0-
--
01
-1
2-
--
06
Civ
il E
ng T
otal
199.
018
143.
022
113.
028
455.
068
24.
001
511
.001
9.00
16
6.00
121
.002
6229
.004
40.0
1013
1.01
40
00
061
8.08
5Pe
rcen
t with
in r
ace
44%
31%
25%
100%
18%
36%
45%
100%
43%
29%
29%
100%
47%
22%
31%
100%
0%0%
0%0%
Perc
ent o
f gra
nd to
tal
32.2
%23
.1%
18.3
%73
.6%
0.3%
0.6%
0.8%
1.8%
1.5%
1.0%
1.0%
3.4%
10.0
%4.
7%6.
5%21
.2%
0%0%
0%0%
100%
Fem
ales
in c
olum
n9.
0%15
.4%
24.8
%14
.9%
0%25
.0%
0%9.
1%11
.1%
0%16
.7%
9.5%
0%13
.8%
25.0
%10
.7%
0%0%
0%0%
13.8
%*B
y ci
vil e
ngin
eerin
g re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
de
partm
ent c
hair.
Ref
eren
ce: "
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 8
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 E
lect
rica
l Eng
inee
ring
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
John
s Ho p
kins
**11
-1
12-
1-
11
--
13
11
5-
--
019
Geo
r gia
Tec
h43
.002
26.0
038
77.0
051
2.00
11
4.00
1-
11
213
.001
3.00
15.
002
21.0
04-
--
010
4.01
0U
C B
erke
ley
19.0
016.
001
631
.002
--
-0
--
11
8.00
2-
-8.
002
--
-0
40.0
04Pe
nns y
lvan
ia S
t**
22.0
028.
001
232
.003
--
-0
1-
-1
10.0
013.
002
114
.003
--
-0
47.0
06M
ichi
gan
288.
003
7.00
143
.004
21
-3
1-
12
4.00
13.
001
310
.002
--
-0
58.0
06Ill
inoi
s Urb
Cha
mp*
*8
5.00
24
17.0
021
-1
2-
--
04
-3
7-
--
026
.002
UC
San
Die
go**
17.0
013
7.00
127
.002
--
-0
--
-0
143
219
--
-0
46.0
02Pu
rdue
37.0
0410
7.00
254
.006
1-
-1
--
-0
125.
001
13.0
0130
.002
--
-0
85.0
08M
I T38
.004
8.00
17.
001
53.0
062
-1
31
--
19
6.00
11.
001
16.0
02-
--
073
.008
UT
Aus
ti n29
.002
610
.001
45.0
03-
--
0-
--
010
2.00
17
19.0
01-
--
064
.004
UC
San
ta B
arba
ra
27.0
021
129
.002
--
-0
--
-0
9.00
13
-12
.001
--
-0
41.0
03So
uthe
rn C
alifo
rnia
22.0
025
330
.002
1-
-1
--
-0
8.00
1-
210
.001
--
-0
41.0
03V
ir gin
ia T
ech
-13
.002
12.0
0225
.004
1-
-1
-1
12
12.0
017
7.00
126
.002
--
-0
54.0
06St
anfo
rd29
.001
9.00
17.
001
45.0
03-
2-
21
--
18.
001
33
14.0
01-
--
062
.004
Was
hin g
ton
16.0
049.
001
6.00
231
.007
--
-0
--
-0
71.
001
-8.
001
--
-0
39.0
08Pr
ince
ton
13.0
011.
001
317
.002
--
-0
1-
-1
10.0
01-
2.00
112
.002
--
-0
30.0
04U
CL A
24.0
021
5.00
130
.003
--
-0
1-
-1
162
321
--
-0
52.0
03C
arne
gie
Mel
lon
26.0
015.
001
233
.002
2-
-2
--
-0
82
5.00
215
.002
--
-0
50.0
04M
issi
ssi p
pi S
t11
.002
5.00
16
22.0
03-
--
0-
--
0-
-2.
001
2.00
1-
--
024
.004
Dre
xel*
*13
.001
4.00
16.
001
23.0
031
--
11
-1.
001
2.00
12
3.00
14
9.00
1-
--
035
.005
Van
derb
ilt**
177
5.00
229
.002
--
11
--
-0
31
4.00
18.
001
--
-0
38.0
03A
rizon
a**
15.0
019.
002
8.00
132
.004
--
-0
--
-0
2-
6.00
28.
002
--
-0
40.0
06O
hio
St23
.003
11.0
013
37.0
04-
--
01
-1
25
12
8-
--
047
.004
Mar
ylan
d C
olle
ge P
ark
367.
001
7.00
250
.003
-1.
001
-1.
001
1-
-1
75.
001
214
.001
--
-0
66.0
05C
orne
l l16
5.00
27.
003
28.0
051
--
1-
--
04
22
8-
--
037
.005
Ariz
ona
S t17
.001
13.0
036.
001
36.0
05-
--
01
1-
211
.002
25
18.0
02-
--
056
.007
Nor
th C
arol
ina
St22
.001
57
34.0
011
11.
001
3.00
11.
001
--
1.00
15.
001
-6.
001
11.0
02-
--
049
.005
Old
Dom
inio
n4
5.00
12
11.0
01-
1-
1-
1-
15
24
11-
--
024
.001
Sout
h C
arol
ina
24
1.00
17.
001
--
-0
--
-0
21
58
--
-0
15.0
01W
isco
nsin
Mad
ison
24.0
017.
001
2.00
233
.004
--
-0
--
-0
32
6.00
211
.002
--
-0
44.0
06N
ew H
amps
hire
64
-10
--
-0
--
-0
1-
2.00
13.
001
--
-0
13.0
01R
utge
rs10
.001
3.00
15.
001
18.0
031
1.00
1-
2.00
1-
--
06
-2.
001
8.00
1-
--
028
.005
Flor
ida
135
523
--
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11.
001
-1
12
7.00
14
6.00
117
.002
--
-0
43.0
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C Ir
vin e
116
11.0
0228
.002
--
-0
--
-0
8.00
12
-10
.001
--
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38.0
03D
elaw
are
103.
001
518
.001
-1
-1
11
-2
3-
36
--
-0
27.0
01C
lem
son
11.0
018
6.00
125
.002
--
11
--
-0
2-
24
--
-0
30.0
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assa
chus
etts
Am
hers
t**
10.0
0111
425
.001
--
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--
-0
51.
001
17.
001
--
-0
32.0
02R
ice
13.0
021
6.00
120
.003
--
-0
--
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12
--
-0
22.0
03D
uke
11.0
024.
001
6.00
221
.005
-1.
001
1.00
1-
--
02
12
5-
--
027
.006
Vir g
inia
10.0
013.
001
215
.002
1-
-1
--
-0
31.
001
26.
001
--
-0
22.0
03So
uth
Flor
ida*
*13
42
19-
--
0-
--
01
13.
001
5.00
1-
--
024
.001
Texa
s A&
M23
.002
68.
001
37.0
031.
001
--
1.00
12.
001
11
4.00
16.
001
311
.001
20.0
02-
--
062
.007
Min
neso
ta26
11.0
013
40.0
01-
1.00
1-
1.00
1-
--
01
22
5-
--
046
.002
Wes
t Vir g
inia
**7
8.00
27.
002
22.0
04-
1-
1-
--
05
33
11-
--
034
.004
UC
Dav
is13
.001
14
18.0
011
--
1-
--
04
2.00
13.
001
9.00
2-
-1
129
.003
Cin
cinn
ati*
*11
7.00
24
22.0
02-
--
01
--
16
3-
9-
--
032
.002
Flor
ida
S t3
4.00
24
11.0
021
-1
2-
--
03
4.00
12.
001
9.00
2-
--
022
.004
Mic
higa
n St
**13
5.00
16.
001
24.0
02-
-1
1-
--
04.
001
47
15.0
01-
--
040
.003
Cal
Tec
h8.
001
2-
10.0
01-
--
0-
--
02
-2.
001
4.00
1-
--
014
.002
Iow
a St
7.00
19.
001
420
.002
--
-0
--
-0
87
13.0
0128
.001
--
-0
48.0
03E
lect
rica
l Eng
Tot
al83
8.05
231
1.04
325
0.03
613
99.1
3119
.001
13.0
0410
.003
42.0
0816
.002
78.
001
31.0
0329
1.01
710
2.01
417
3.02
456
6.05
50
01
120
39.1
97Pe
rcen
t with
in r
ace
60%
22%
18%
100%
45%
31%
24%
100%
52%
23%
26%
100%
51%
18%
31%
100%
0%0%
100%
100%
Perc
ent o
f gra
nd to
tal
41.1
%15
.3%
12.3
%68
.6%
0.9%
0.6%
0.5%
2.1%
0.8%
0.3%
0.4%
1.5%
14.3
%5.
0%8.
5%27
.8%
0%0%
0.0%
0.0%
100%
Fem
ales
in c
olum
n6.
2%13
.8%
14.4
%9.
4%5.
3%30
.8%
30.0
%19
.0%
12.5
%0%
12.5
%9.
7%5.
8%13
.7%
13.9
%9.
7%0%
0%0%
0%9.
7%*B
y el
ectri
cal e
ngin
eerin
g re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
de
partm
ent c
hair.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 8
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Ele
ctri
cal E
ngin
eeri
ng D
epar
tmen
ts N
o. 5
1-98
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Cen
tral F
lorid
a6
22
10-
--
0-
--
05.
001
33
11.0
01-
--
021
.001
Tenn
esse
e**
53
513
--
-0
--
-0
23.
001
4.00
19.
002
--
-0
22.0
02N
ew Je
rse y
Inst
Tec
h12
6.00
11
19.0
01-
--
0-
-1
16
2.00
13
11.0
01-
--
031
.002
Nor
thw
este
r n9.
001
52
16.0
01-
--
0-
--
03
-4.
001
7.00
1-
--
023
.002
Col
orad
o S t
54
110
--
-0
3.00
1-
-3.
001
5-
16
--
-0
19.0
01N
ew M
exic
o S t
34
1.00
18.
001
--
-0
21
-3
23
27
--
-0
18.0
01W
ashi
n gto
n St
44
-8
1-
12
1-
-1
5.00
11
39.
001
--
-0
20.0
01C
olor
ado
17.0
0110
.001
8.00
135
.003
--
-0
--
-0
1.00
1-
23.
001
--
-0
38.0
04M
isso
uri R
olla
9.00
28
5.00
122
.003
--
-0
--
-0
42
3.00
19.
001
--
-0
31.0
04SU
NY
Sto
n y B
rook
56.
001
4.00
115
.002
1-
-1
--
-0
5.00
13.
001
1.00
19.
003
--
-0
25.0
05B
row
n7
2.00
13.
001
12.0
02-
--
0-
1-
11
--
1-
--
014
.002
Bos
ton
U**
1614
.003
5.00
135
.004
1-
-1
1-
-1
41
4.00
19.
001
--
-0
46.0
05D
artm
outh
**3.
001
6.00
12
11.0
02-
--
0-
--
0-
--
0-
--
011
.002
Ala
bam
a H
unts
ville
**11
4.00
23.
001
18.0
03-
--
0-
--
04
11
6-
--
024
.003
Woo
ds H
ole
Oce
an In
s t9
6.00
12.
001
17.0
02-
--
0-
--
0-
22.
001
4.00
1-
--
021
.003
Ren
ssel
aer P
olyt
echn
ic14
46.
003
24.0
03-
--
0-
--
06
43.
001
13.0
01-
--
037
.004
Cas
e W
este
rn R
eser
ve* *
8.00
16
216
.001
--
-0
-1
-1
23
2.00
17.
001
--
-0
24.0
02Ill
inoi
s Chi
cago
45
1.00
110
.001
--
-0
--
-0
7.00
14
5.00
116
.002
--
-0
26.0
03C
olum
bia
New
Yor
k9.
001
44.
001
17.0
02-
--
0-
--
03
--
3-
--
020
.002
Con
nect
icut
71
3.00
111
.001
-1
-1
-1
-1
51.
001
4.00
110
.002
--
-0
23.0
03M
isso
uri C
olum
bia
8.00
13
4.00
115
.002
--
-0
--
-0
3.00
14
5.00
112
.002
--
-0
27.0
04A
ubur
n14
4-
18-
--
0-
--
010
.001
2.00
12
14.0
02-
--
032
.002
New
Mex
ico
126.
001
5.00
123
.002
--
-0
--
11
-3.
001
14.
001
--
-0
28.0
03U
C S
anta
Cru
z4
41
9-
--
0-
--
03.
001
1-
4.00
1-
--
013
.001
Neb
rask
a8
81
17-
--
0-
1-
11
--
1-
--
019
Okl
ahom
a St
**8
61
15-
--
0-
-1
13
16.
001
10.0
01-
--
026
.001
Ken
tuck
y8
5.00
14
17.0
01-
-1.
001
1.00
1-
--
01
23
6-
--
024
.002
Ore
gon
St7.
002
21
10.0
02-
--
0-
1-
12
33.
001
8.00
1-
--
019
.003
Lehi
gh10
11.
001
12.0
01-
--
0-
--
02
24.
002
8.00
2-
--
020
.003
Roc
hest
e r8
2.00
15.
001
15.0
02-
-1
1-
--
01
-2
3-
--
019
.002
Hou
ston
137.
003
424
.003
--
-0
--
-0
41
3.00
18.
001
--
-0
32.0
04G
eor g
e W
ashi
ngto
n12
.001
33.
001
18.0
02-
--
0-
--
01
--
1-
--
019
.002
Uta
h St
5.00
13
210
.001
--
-0
--
-0
2-
5.00
17.
001
--
-0
17.0
02SU
NY
Buf
falo
103.
001
316
.001
--
-0
--
-0
5-
38
--
-0
24.0
01Pi
ttsbu
r gh
74
112
--
-0
-1
-1
2-
7.00
19.
001
--
-0
22.0
01Pe
nns y
lvan
ia12
5.00
22
19.0
02-
--
0-
1-
1-
1-
1-
--
021
.002
Uta
h7.
001
34
14.0
01-
--
0-
--
03
13.
001
7.00
1-
--
021
.002
Loui
sian
a St
54
110
-1.
001
-1.
001
1-
-1
71
715
--
-0
27.0
01M
ichi
gan
Tech
5.00
15
111
.001
--
-0
--
-0
-3.
001
5.00
18.
002
--
-0
19.0
03A
laba
ma
24
28
--
-0
--
-0
23.
001
-5.
001
--
-0
13.0
01Io
wa*
*11
43
18-
--
0-
--
04
12
7-
--
025
Ohi
o7
92
18-
--
0-
--
01
--
1-
--
019
New
Mex
ico
Inst
Min
ing*
*2
51
8-
--
0-
--
0-
--
0-
--
08
Da y
ton
34
-7
--
-0
-1
-1
31
-4
--
-0
12K
ansa
s St
52.
001
-7.
001
--
-0
--
-0
11
2-
--
09.
001
Wic
hita
Sta
te2
31
6-
1-
1-
--
01
12
4-
--
011
US
Air
Forc
e A
cad*
*3
19.
001
13.0
01-
--
0-
--
01
1-
2-
--
015
.001
Nor
th D
akot
a1
33.
001
7.00
1-
--
0-
--
0-
--
0-
--
07.
001
Ele
ctri
cal E
ng T
otal
362.
014
217.
021
125.
021
704.
056
33.
001
3.00
19.
002
8.00
19
320
.001
133.
008
65.0
0811
1.02
030
9.03
60
00
010
42.0
95Pe
rcen
t with
in r
ace
51%
31%
18%
100%
33%
33%
33%
100%
40%
45%
15%
100%
43%
21%
36%
100%
0%0%
0%0%
Perc
ent o
f gra
nd to
tal
34.7
%20
.8%
12.0
%67
.6%
0.3%
0.3%
0.3%
0.9%
0.8%
0.9%
0.3%
1.9%
12.8
%6.
2%10
.7%
29.7
%0%
0%0%
0%10
0%Fe
mal
es in
col
umn
3.9%
9.7%
16.8
%8.
0%0%
33.3
%33
.3%
22.2
%12
.5%
0%0%
5.0%
6.0%
12.3
%18
.0%
11.7
%0%
0%0%
0%9.
1%*B
y el
ectri
cal e
ngin
eerin
g re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces
othe
r tha
n de
partm
ent c
hair.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 9
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 M
echa
nica
l Eng
inee
ring
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
John
s Ho p
kins
10.0
022.
001
113
.003
--
-0
--
-0
21.
001
36.
001
--
-0
19.0
04R
oche
ste r
12.0
011.
001
-13
.002
--
-0
--
-0
1-
12
--
-0
15.0
02Pe
nns y
lvan
ia S
t28
.002
5.00
15.
001
38.0
04-
1-
11
--
110
-2.
001
12.0
01-
--
052
.005
Mic
higa
n20
.002
7.00
46.
002
33.0
081
--
1-
--
011
.001
62
19.0
01-
--
053
.009
Geo
r gia
Tec
h30
15.0
016
51.0
011
12.
001
4.00
1-
1-
113
.001
33.
001
19.0
02-
--
075
.004
MI T
46.0
0211
.001
5.00
262
.005
11
-2
1-
1.00
12.
001
93.
001
2.00
214
.003
--
-0
80.0
09St
anfo
rd**
205
7.00
232
.002
-1
-1
-1
-1
4-
2.00
16.
001
--
-0
40.0
03V
ir gin
ia T
ech
17.0
0214
.001
5.00
236
.005
--
1.00
11.
001
1-
-1
21
14
--
-0
42.0
06Pu
rdue
28.0
0313
6.00
147
.004
--
11
-1
1.00
12.
001
43
29
--
-0
59.0
05Fl
orid
a S t
62
210
11.
001
13.
001
1-
12
41
16
--
-0
21.0
01U
CL A
17.0
02-
421
.002
--
-0
--
-0
8-
210
--
-0
31.0
02Te
xas A
&M
18.0
018
531
.001
--
-0
1-
2.00
13.
001
86.
001
6.00
120
.002
--
-0
54.0
04U
tah
St**
4.00
14
513
.001
--
-0
--
-0
-1
23
--
-0
16.0
01Ill
inoi
s Urb
Cha
mp
27.0
018
8.00
143
.002
1-
-1
--
11
32
3.00
18.
001
--
-0
53.0
03A
rizon
a**
122
3.00
117
.001
--
-0
--
-0
31
37
--
-0
24.0
01M
D C
olle
ge P
ark*
*13
13.0
031
27.0
03-
--
0-
-1
111
53.
001
19.0
01-
--
047
.004
UT
Aus
ti n26
.002
8.00
17.
002
41.0
051
1.00
1-
2.00
11
2-
33
3-
6-
--
052
.006
Mis
siss
i ppi
St
102.
001
315
.001
--
-0
-2
13
-1
-1
--
-0
19.0
01O
hio
St21
64.
001
31.0
011
--
1-
-1
19.
001
12
12.0
01-
--
045
.002
Da y
ton
64
3.00
113
.001
--
-0
--
-0
4-
-4
--
-0
17.0
01W
est V
ir gin
ia**
141
520
--
-0
1-
-1
5-
38
--
-0
29M
inne
sota
22.0
021.
001
225
.003
-1
-1
--
-0
33
-6
--
-0
32.0
03C
lem
son*
*10
56
21-
-1
1-
--
01
27
10-
--
032
UC
Dav
is20
.001
24.
002
26.0
032
--
2-
--
03
-2.
001
5.00
1-
--
033
.004
Ariz
ona
S t7
2.00
14
13.0
01-
--
01
-1
6.00
12
19.
001
--
-0
23.0
02M
ichi
gan
Tech
612
.003
422
.003
--
-0
--
11
73
414
--
-0
37.0
03SU
NY
Buf
falo
11.0
012
215
.001
--
-0
--
-0
5.00
22
3.00
110
.003
--
-0
25.0
04R
enss
elae
r Pol
ytec
h13
.001
2.00
15.
001
20.0
031
--
1-
1-
15
14.
002
10.0
02-
--
032
.005
UC
San
Die
go24
.004
7.00
11
32.0
05-
--
01
-1.
001
2.00
15
1.00
12
8.00
1-
--
042
.007
Iow
a4
-1
5-
--
0-
--
05
22
9-
--
014
UC
Irvi
n e14
31
18-
--
01
1-
22
-1
3-
--
023
Wis
cons
in M
adis
on18
.001
4.00
17.
001
29.0
03-
--
0-
--
0-
21
3-
--
032
.003
Nor
thw
este
r n13
.001
21
16.0
01-
--
01
--
14.
001
4.00
22
10.0
03-
--
027
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h Fl
orid
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32
38
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1.00
15.
001
--
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92
271
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11
--
11
3.00
15
9.00
1-
--
038
.001
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gers
**7
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11
9.00
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17
27
16-
--
026
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s ylv
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31
15
--
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11.
001
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22
15
--
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33
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--
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--
02
12
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--
019
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sian
a St
53
412
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12
--
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412
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arne
gie
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lon
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7.00
118
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--
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1.00
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001
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elaw
are
63
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212
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52
3.00
210
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ashi
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21
15.0
021
--
1-
--
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22
9-
--
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bam
a H
unts
ville
74
3.00
114
.001
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11
-2
--
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01B
row
n12
5.00
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11
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123
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th C
arol
ina
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001
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11
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001
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.003
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inia
11.0
019
2.00
122
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olor
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104.
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115
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s Chi
cago
15.0
013
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120
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11.
001
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outh
14.0
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002
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125
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-2
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wa
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001
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001
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hani
cal E
ng T
otal
700.
037
251.
033
168.
029
1119
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129.
002
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0331
.005
14.0
019
14.0
0637
.007
208.
008
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0710
4.01
639
9.03
10
1.00
10
1.00
115
87.1
43Pe
rcen
t with
in r
ace
63%
22%
15%
100%
39%
29%
32%
100%
38%
24%
38%
100%
52%
22%
26%
100%
0%10
0%0%
100%
Perc
ent o
f gra
nd to
tal
44.1
%15
.8%
10.6
%70
.5%
0.8%
0.6%
0.6%
2.0%
0.9%
0.6%
0.9%
2.3%
13.1
%5.
5%6.
6%25
.1%
0%0.
1%0%
0.1%
100%
Fem
ales
in c
olum
n5.
3%13
.1%
17.3
%8.
8%0%
22.2
%30
.0%
16.1
%7.
1%0%
42.9
%18
.9%
3.8%
8.0%
15.4
%7.
8%0%
100%
0%10
0%9.
0%*B
y m
echa
nica
l eng
inee
ring
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. *
*At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 9
-B.
Ten
ured
/Ten
ure
Tra
ck F
acul
ty a
t Mec
hani
cal E
ngin
eeri
ng D
epar
tmen
ts N
o. 5
1-94
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
MA
Am
hers
t**
123
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120
.001
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001
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001
31
26
--
-0
27.0
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olor
ado
75.
003
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114
.004
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--
-0
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3.00
17.
001
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22.0
05M
isso
uri R
olla
135
119
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-1
--
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211
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olin
a**
56.
001
314
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e O
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cinn
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001
64
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002
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113
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ew Je
rse y
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h**
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h8
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i Col
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cky
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tern
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110
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41
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111
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25
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high
193
123
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211
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ir Fo
rce
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dem
y**
33
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l l15
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t**
105
116
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001
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001
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ston
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21
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tral F
lorid
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44
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13
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76
215
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001
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11
--
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001
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3.00
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--
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bur g
h3
5.00
22.
001
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11
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015
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gon
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001
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23
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-3.
001
4.00
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ton*
*8
11.0
012
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13.
002
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025
.003
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Ham
pshi
re8
31
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1.00
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013
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inio
n**
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--
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laba
ma
46.
001
414
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11
--
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18.0
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bia*
*3
14.
001
8.00
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11
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--
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o4
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001
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02
--
2-
--
011
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64
313
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16G
eor g
e W
ashi
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n6
11
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001
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--
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Mex
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S t4
61
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11
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24
--
-0
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uthe
rn C
alifo
rnia
181
3.00
122
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-0
22
-4
--
-0
26.0
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orth
Dak
ota
12
25
--
11
--
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3-
-3
--
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9W
ichi
ta S
tate
**2
22
6-
--
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12
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--
011
UC
Ber
kele
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003
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001
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001
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002
--
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ew M
exic
o In
st M
inin
g**
13
15
--
-0
--
-0
--
11
--
-0
6M
echa
nica
l Eng
Tot
al31
8.01
216
3.01
910
7.02
158
8.05
26
6.00
14.
001
16.0
024
5.00
13
12.0
0112
2.00
364
.007
50.0
0723
6.01
71
01
285
4.07
2Pe
rcen
t with
in r
ace
54%
28%
18%
100%
37%
38%
25%
100%
33%
42%
25%
100%
52%
27%
21%
100%
50%
0%50
%10
0%Pe
rcen
t of g
rand
tota
l37
.2%
19.1
%12
.5%
68.9
%0.
7%0.
7%0.
5%1.
9%0.
5%0.
6%0.
4%1.
4%14
.3%
7.5%
5.9%
27.6
%0.
1%0%
0.1%
0.2%
100%
Fem
ales
in c
olum
n3.
8%11
.7%
19.6
%8.
8%0%
16.7
%25
.0%
12.5
%0%
20.0
%0%
8.3%
2.5%
10.9
%14
.0%
7.2%
0%0%
0%0%
8.4%
*By
mec
hani
cal e
ngin
eerin
g re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
0. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 E
cono
mic
s Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
MD
Col
lege
Par
k18
.002
5.00
15.
001
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041
--
14.
001
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6.00
1-
11.
001
2.00
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--
037
.006
UC
Ber
kele
y34
.005
29.
001
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06-
--
0-
1-
11
31
5-
--
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.006
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higa
n**
32.0
053
9.00
144
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--
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2.00
12
4.00
18.
002
--
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54.0
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eor g
ia9
32
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001
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higa
n St
24.0
038.
002
436
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--
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001
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002
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001
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s Urb
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mpa
ign
12.0
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001
318
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001
--
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03M
isso
uri C
olum
bia
64
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001
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rdue
86
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001
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isco
nsin
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ison
14.0
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nnes
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54.
001
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112
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011
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001
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l l11
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001
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001
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ida
13.0
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ia S
t8.
002
9.00
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hin g
ton
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.001
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001
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001
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93
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002
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73
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e**
18.0
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001
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14.0
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ska
86.
002
115
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evad
a La
s Ve g
as7
5.00
11
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a St
19.0
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001
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24
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phis
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002
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001
1.00
11
1.00
11.
001
3.00
26.
001
1-
7.00
11
--
127
.006
Nor
th C
arol
ina
St14
32.
001
19.0
01-
1-
1-
-1
1-
--
0-
--
021
.001
Ken
tuck
y11
33.
002
17.0
021
--
1-
--
0-
-1
1-
--
019
.002
Indi
ana
102.
001
416
.001
--
-0
--
22
2-
4.00
26.
002
--
-0
24.0
03Pr
ince
ton
29.0
022
7.00
238
.004
1.00
1-
-1.
001
--
3.00
13.
001
5-
16
--
-0
48.0
06C
lem
son
114
6.00
221
.002
--
-0
--
11
--
2.00
12.
001
--
-0
24.0
03M
I T19
.003
57.
001
31.0
04-
--
01
--
11
-1.
001
2.00
1-
--
034
.005
Nor
th D
akot
a St
66.
002
315
.002
--
-0
--
-0
1-
1.00
12.
001
--
-0
17.0
03B
osto
n C
olle
ge13
55.
003
23.0
03-
--
0-
--
03
--
3-
--
026
.003
Bro
wn
141
6.00
121
.001
1-
-1
--
22
2-
2.00
24.
002
--
-0
28.0
03G
eor g
e M
ason
168.
001
125
.001
1-
-1
-1
-1
--
-0
--
-0
27.0
01A
rizon
a S t
182
-20
-1
-1
21
-3
11
2.00
24.
002
--
-0
28.0
02Te
xas T
ech
26.
001
311
.001
--
-0
--
11
--
-0
--
-0
12.0
01Pe
nns y
lvan
ia16
.001
39.
001
28.0
02-
--
01
-1
2-
-2.
001
2.00
1-
--
032
.003
Stan
ford
201
13.0
0534
.005
--
-0
--
-0
--
-0
--
-0
34.0
05C
onne
ctic
ut10
.002
9.00
13.
002
22.0
05-
--
0-
--
01
21
4-
--
026
.005
Mai
ne4.
004
9.00
13.
003
16.0
08-
--
0-
--
0-
1-
1-
--
017
.008
Penn
s ylv
ania
St
14.0
013.
001
3.00
120
.003
--
-0
1-
-1
2.00
12.
002
15.
003
--
-0
26.0
06V
irgin
ia T
ech
8.00
13.
002
-11
.003
--
-0
--
11
1-
2.00
13.
001
--
-0
15.0
04W
a yne
Sta
te7.
002
1-
8.00
2-
--
0-
--
01
-4.
002
5.00
2-
--
013
.004
UC
San
Die
go21
.002
3.00
211
.005
35.0
09-
--
0-
--
0-
-1
1-
--
036
.009
Eco
nom
ics T
otal
682.
058
198.
032
215.
060
1095
.150
10.0
026
6.00
322
.005
17.0
018.
001
28.0
0653
.008
56.0
0432
.006
64.0
2715
2.03
71
00
113
23.2
00Pe
rcen
t with
in r
ace
62%
18%
20%
100%
45%
27%
27%
100%
32%
15%
53%
100%
37%
21%
42%
100%
100%
0%0%
100%
Perc
ent o
f gra
nd to
tal
51.5
%15
.0%
16.3
%82
.8%
0.8%
0.5%
0.5%
1.7%
1.3%
0.6%
2.1%
4.0%
4.2%
2.4%
4.8%
11.5
%0.
1%0%
0%0.
1%10
0%Fe
mal
es in
col
umn
8.5%
16.2
%27
.9%
13.7
%20
.0%
0%50
.0%
22.7
%5.
9%12
.5%
21.4
%15
.1%
7.1%
18.8
%42
.2%
24.3
%0%
0%0%
0%15
.1%
*By
econ
omic
s res
earc
h ex
pend
iture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
:"Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 1
0-B
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at E
cono
mic
s Dep
artm
ents
No.
51-
97 b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tR
utge
rs18
.001
7.00
42
27.0
05-
--
01
-1
22
-1
3-
--
032
.005
Yal
e28
.001
--
28.0
011
--
1-
--
02
--
2-
--
031
.001
Sout
h C
arol
ina*
*6
1.00
13.
002
10.0
03-
--
0-
--
0-
-1
1-
--
011
.003
New
Yor
k22
5.00
17
34.0
012
--
22.
001
11
4.00
13.
001
-2.
001
5.00
2-
--
045
.004
Del
awar
e11
10.0
021
22.0
02-
--
0-
-1
1-
12.
001
3.00
1-
--
026
.003
Nor
thw
este
r n22
17.
001
30.0
01-
--
02.
001
-3.
001
5.00
21
-2.
002
3.00
2-
--
038
.005
Col
umbi
a, N
ew Y
ork
16.0
023
8.00
227
.004
--
-0
2.00
1-
13.
001
6.00
12.
001
-8.
002
--
-0
38.0
07O
rego
n9.
002
3.00
13.
001
15.0
04-
--
0-
-1
1-
1-
1-
1-
118
.004
UT
Aus
ti n17
39.
002
29.0
02-
--
0-
11.
001
2.00
1-
-2
2-
--
033
.003
New
Ham
pshi
re**
6.00
14
2.00
112
.002
--
-0
--
-0
-1.
001
-1.
001
--
-0
13.0
03Fl
orid
a S t
134
6.00
223
.002
1-
-1
--
-0
--
33
--
-0
27.0
02U
CLA
**23
.004
4.00
112
.003
39.0
08-
--
01
--
11
-1
2-
--
042
.008
Okl
ahom
a4
4.00
33
11.0
03-
1-
1-
-1
1-
11
2-
--
015
.003
Sout
hern
Cal
iforn
ia12
3.00
12.
001
17.0
02-
--
0-
--
02
22
6-
--
023
.002
Kan
sas
47.
001
112
.001
-1.
001
-1.
001
--
-0
11
3.00
15.
001
--
-0
18.0
03W
isco
nsin
Milw
auke
e6
25.
001
13.0
011
--
11
--
13
22.
001
7.00
1-
--
022
.002
San
Die
go S
tate
8.00
32
3.00
113
.004
1-
-1
--
-0
11.
001
1.00
13.
002
--
-0
17.0
06G
eor g
e W
ashi
ngto
n16
.001
41
21.0
01-
--
01.
001
-2.
001
3.00
2-
1.00
13.
002
4.00
3-
--
028
.006
Illin
ois C
hica
go10
.002
42
16.0
02-
--
02.
001
1.00
1-
3.00
21.
001
--
1.00
1-
--
020
.005
Mis
siss
i ppi
St
24.
001
4.00
210
.003
--
-0
--
-0
--
-0
--
-0
10.0
03C
olor
ado
12.0
014
6.00
322
.004
--
-0
-1
-1
21.
001
2.00
15.
002
--
-0
28.0
06SU
NY
Sto
n y B
rook
**8
23.
001
13.0
01-
--
0-
-1
1-
-1
1-
--
015
.001
New
Mex
ico
6.00
13.
003
2.00
211
.006
--
-0
-1
12
1-
-1
--
-0
14.0
06C
entra
l Flo
rida*
*9.
001
41
14.0
011
1-
2-
--
0-
2.00
23.
001
5.00
3-
--
021
.004
Portl
and
St5.
001
2.00
1-
7.00
2-
--
0-
-1
11
-1
2-
--
010
.002
UC
Irvi
n e7.
002
13
11.0
02-
--
0-
--
0-
-4.
002
4.00
2-
--
015
.004
Van
derb
ilt16
.003
43.
001
23.0
04-
--
0-
--
03.
001
11
5.00
1-
--
028
.005
SUN
Y B
uffa
lo5
11
7-
--
0-
-2
22
-7.
002
9.00
2-
--
018
.002
Pitts
bur g
h12
.001
4.00
16.
001
22.0
03-
-1
1-
-1.
001
1.00
1-
--
0-
--
024
.004
Tufts
7.00
19.
002
3.00
119
.004
-2.
001
-2.
001
--
-0
--
22
--
-0
23.0
05SU
NY
Bin
gham
ton
82.
001
212
.001
--
-0
--
-0
23.
002
16.
002
--
-0
18.0
03W
ashi
n gto
n13
.002
6.00
12.
001
21.0
04-
--
0-
--
02
12.
002
5.00
2-
--
026
.006
Not
re D
ame
3-
4.00
27.
002
--
-0
--
-0
12
-3
--
-0
10.0
02U
C R
iver
side
8.00
12.
001
2.00
212
.004
--
-0
1.00
1-
12.
001
6-
2.00
18.
001
--
-0
22.0
06G
eor g
etow
n11
.001
7.00
16.
002
24.0
041.
001
--
1.00
1-
--
0-
-2
2-
--
027
.005
Iow
a**
10.0
013
5.00
418
.005
--
-0
--
11
2-
2.00
14.
001
--
-0
23.0
06N
orth
Car
olin
a C
hape
l Hill
15.0
013.
001
3.00
221
.004
1-
12
--
11
--
2.00
12.
001
--
-0
26.0
05SU
NY
Alb
any
5.00
15
414
.001
--
-0
--
-0
3-
4.00
27.
002
--
-0
21.0
03U
C S
anta
Bar
bara
192.
001
324
.001
--
-0
--
11
3-
14
--
-0
29.0
01H
awai
i Man
oa4.
001
5.00
23
12.0
03-
--
0-
--
02
13.
001
6.00
1-
--
018
.004
Bra
ndei
s5.
001
4.00
12
11.0
02-
--
0-
-1.
001
1.00
1-
1.00
15.
005
6.00
6-
--
018
.009
Mas
sach
uset
ts B
osto
n4.
002
2.00
23.
002
9.00
6-
11
2-
--
0-
1.00
12
3.00
1-
--
014
.007
Sout
hern
Illin
ois
24.
001
17.
001
--
-0
--
-0
2-
35
--
-0
12.0
01S y
racu
se10
6.00
22
18.0
02-
1-
1-
--
03
-1.
001
4.00
1-
--
023
.003
Nav
al P
ost g
rad
Scho
ol2.
001
32.
002
7.00
3-
--
0-
--
0-
-1.
001
1.00
1-
--
08.
004
Was
hin g
ton
St. L
ouis
**21
21
24-
-1
1-
--
03
21.
001
6.00
1-
--
031
.001
Akr
on3
3.00
11
7.00
1-
--
0-
--
0-
1.00
1-
1.00
1-
--
08.
002
Eco
nom
ics T
otal
483.
040
168.
038
155.
045
806.
123
9.00
17.
002
420
.003
13.0
065.
001
23.0
0541
.012
61.0
0429
.012
79.0
3116
9.04
70
10
110
37.1
85Pe
rcen
t with
in r
ace
60%
21%
19%
100%
45%
35%
20%
100%
32%
12%
56%
100%
36%
17%
47%
100%
0%10
0%0%
100%
Perc
ent o
f gra
nd to
tal
46.6
%16
.2%
14.9
%77
.7%
0.9%
0.7%
0.4%
1.9%
1.3%
0.5%
2.2%
4.0%
5.9%
2.8%
7.6%
16.3
%0%
0.1%
0%0.
1%10
0%Fe
mal
es in
col
umn
8.3%
22.6
%29
.0%
15.3
%11
.1%
28.6
%0%
15.0
%46
.2%
20.0
%21
.7%
29.3
%6.
6%41
.4%
39.2
%27
.8%
0%0%
0%0%
17.8
%*B
y ec
onom
ics r
esea
rch
expe
nditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
de
partm
ent c
hair.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
1. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 Po
litic
al S
cien
ce D
epar
tmen
ts b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tPr
ince
ton*
*21
.003
5.00
217
.006
43.0
11-
--
0-
--
02
1.00
13
6.00
1-
--
049
.012
Penn
s ylv
ania
**14
.005
5.00
15.
003
24.0
091
--
1-
--
01
1-
2-
--
027
.009
Duk
e14
.002
4.00
14.
001
22.0
041.
001
1-
2.00
1-
-1
11
1-
2-
--
027
.005
Nav
al P
ost g
rad
Schl
**8
8.00
19.
004
25.0
05-
--
0-
1.00
1-
1.00
1-
--
0-
--
026
.006
Har
var d
14.0
025.
001
-19
.003
-1.
001
-1.
001
--
-0
-1
-1
--
-0
21.0
04M
ichi
gan*
*23
.004
7.00
38.
005
38.0
12-
1-
1-
--
02.
001
1.00
11.
001
4.00
3-
--
043
.015
Indi
ana
16.0
042.
002
8.00
426
.010
-2.
001
-2.
001
--
11
1-
-1
--
-0
30.0
11M
D C
olle
ge P
ark
19.0
0112
.004
3.00
134
.006
3.00
11
-4.
001
--
-0
--
1.00
11.
001
--
-0
39.0
08G
eor g
etow
n18
.001
17.0
026.
003
41.0
06-
1-
1-
1-
1-
1-
1-
--
044
.006
Was
hin g
ton
14.0
0211
.004
3.00
228
.008
--
-0
-1
12
-1
-1
--
-0
31.0
08R
utge
rs17
.003
-6.
001
23.0
04-
--
0-
--
0-
-2.
002
2.00
2-
--
025
.006
UC
Ber
kele
y29
.004
5.00
27
41.0
06-
--
0-
--
03
3-
6-
--
047
.006
New
Yor
k**
21.0
028.
003
4.00
133
.006
1-
-1
--
-0
11
-2
--
-0
36.0
06S y
racu
se15
.005
8.00
28.
003
31.0
102
1-
3-
11
2-
1.00
1-
1.00
1-
--
037
.011
Geo
r ge
Was
hing
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22.0
065.
001
12.0
0339
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--
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--
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12
--
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orth
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tern
**10
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10.0
037.
001
27.0
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s ylv
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7.00
19.
005
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117
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001
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--
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11.0
019.
005
7.00
127
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002
13.
002
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32.0
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78.
003
3.00
118
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--
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001
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--
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7.00
15.
001
11.0
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001
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12
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83.
001
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316
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1.00
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001
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6.00
12.
001
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314
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001
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001
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14.0
034.
002
5.00
123
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1.00
1-
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001
1.00
12
1.00
14.
002
-2.
001
13.
001
--
-0
31.0
10M
ichi
gan
St15
.004
36.
002
24.0
063
--
3-
-1.
001
1.00
1-
-1
1-
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029
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negi
e M
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n**
32
16
-1.
001
-1.
001
-1
-1
--
2.00
12.
001
--
-0
10.0
02W
isco
nsin
Mad
ison
23.0
056.
001
6.00
135
.007
--
-0
1-
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--
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36.0
07G
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ia3
10.0
025.
001
18.0
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0-
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0-
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hern
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iforn
ia9.
004
11
11.0
041
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11
1.00
11
3.00
1-
--
016
.005
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h C
arol
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14.0
047.
002
4.00
125
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1-
23
--
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1-
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12.
001
--
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30.0
08U
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an D
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18.0
024
7.00
229
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001
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3.00
14.
001
1.00
1-
2.00
23.
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37.0
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8.00
35.
001
17.0
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004
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026
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Dav
is11
9.00
34.
001
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001
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o St
13.0
028.
002
9.00
430
.008
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--
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ia T
ech
8.00
15.
002
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11.0
018.
003
3.00
122
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--
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12
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oma
612
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123
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3.00
23.
002
--
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27.0
07M
I T10
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6.00
14.
001
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024
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sas*
*8.
001
7.00
35.
003
20.0
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--
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1.00
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--
021
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s Tec
h4
25.
001
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01-
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--
11.
001
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3.00
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--
015
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Cor
nel l
18.0
053.
001
5.00
226
.008
1-
1.00
12.
001
1-
-1
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--
-0
29.0
09K
entu
cky
53.
001
3.00
111
.002
-1
-1
--
-0
--
-0
--
-0
12.0
02N
ebra
ska
8.00
13.
001
112
.002
1-
12
--
-0
--
-0
--
-0
14.0
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otre
Dam
e13
.001
8.00
411
.004
32.0
091.
001
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2.00
11
-1
2-
-3.
001
3.00
1-
--
039
.011
Ariz
ona
St**
9.00
212
.006
6.00
227
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11
-2
--
-0
--
1.00
11.
001
--
-0
30.0
11Te
xas A
&M
16.0
026.
001
9.00
431
.007
1-
12
-1.
001
12.
001
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2.00
13.
001
--
-0
38.0
09G
eorg
ia T
ech*
*9.
006
12.0
046.
001
27.0
111.
001
--
1.00
1-
-1
1-
--
0-
--
029
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Was
hin g
ton
St8
126
26-
--
01
--
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--
0-
1-
128
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ida
Inte
rnat
iona
l4.
001
5.00
16.
002
15.0
041
--
11
11.
001
3.00
1-
--
0-
--
019
.005
Polit
ical
Sci
ence
Tot
al60
4.10
432
0.09
529
6.10
212
20.3
0127
.007
18.0
0813
.005
58.0
209.
001
12.0
0317
.004
38.0
0821
.003
24.0
0736
.019
81.0
290
10
113
98.3
58Pe
rcen
t with
in r
ace
50%
26%
24%
100%
47%
31%
22%
100%
24%
32%
45%
100%
26%
30%
44%
100%
0%10
0%0%
100%
Perc
ent o
f gra
nd to
tal
43.2
%22
.9%
21.2
%87
.3%
1.9%
1.3%
0.9%
4.1%
0.6%
0.9%
1.2%
2.7%
1.5%
1.7%
2.6%
5.8%
0%0.
1%0%
0.1%
100%
Fem
ales
in c
olum
n17
.2%
29.7
%34
.5%
24.7
%25
.9%
44.4
%38
.5%
34.5
%11
.1%
25.0
%23
.5%
21.1
%14
.3%
29.2
%52
.8%
35.8
%0%
0%0%
0%25
.6%
*By
polit
ical
scie
nce
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. *
*At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
1-B
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at P
oliti
cal S
cien
ce D
epar
tmen
ts N
o. 5
1-96
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Col
orad
o**
8.00
25
8.00
521
.007
--
-0
--
-0
1-
12
--
-0
23.0
07B
row
n7.
001
5.00
15.
002
17.0
041
-1.
001
2.00
1-
1.00
1-
1.00
1-
--
0-
--
020
.006
Illin
ois U
rb-C
ham
paig
n5
9.00
28.
003
22.0
05-
1.00
11
2.00
1-
2.00
11.
001
3.00
2-
1.00
11.
001
2.00
2-
--
029
.010
SUN
Y B
ingh
amto
n**
45.
002
4.00
113
.003
1-
-1
--
-0
--
-0
--
-0
14.0
03Po
rtlan
d St
54.
002
1.00
110
.003
--
-0
--
-0
--
-0
--
-0
10.0
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n D
iego
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46.
003
3.00
113
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--
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--
-0
13.
001
2.00
16.
002
--
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19.0
06M
emph
is2
4.00
14.
003
10.0
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--
0-
--
0-
--
0-
--
010
.004
UC
LA**
29.0
0911
.002
4.00
244
.013
21
-3
--
-0
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-2
--
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49.0
13C
olum
bia
20.0
037.
004
6.00
333
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1-
2.00
13.
001
11.
001
2.00
14.
002
-1
12
--
-0
42.0
13SU
NY
Sto
n y B
rook
7.00
14.
001
6.00
117
.003
--
11
--
-0
--
-0
--
-0
18.0
03A
kro n
4.00
14
3.00
111
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--
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--
-0
--
-0
--
-0
11.0
02W
ashi
n gto
n St
Lou
is9
37.
002
19.0
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-1.
001
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1-
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1.00
1-
1.00
1-
--
022
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a S t
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14
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19.
002
--
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1-
1.00
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001
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11
--
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ew M
exic
o8.
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13
12.0
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001
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014
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bur g
h13
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002
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--
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1-
1-
1-
--
023
.004
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St*
*2
7.00
22
11.0
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1-
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--
012
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ne S
tate
11.0
017.
003
4.00
222
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11
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uisi
ana
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001
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17.
002
20.0
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--
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--
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--
021
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siss
i ppi
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*5
3.00
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002
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0-
--
0-
--
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001
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062.
001
22.0
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1-
11
--
1-
--
0-
--
024
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r gia
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2.00
19.
001
5.00
116
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001
1.00
12.
002
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1.00
11.
001
--
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19.0
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rizon
a10
.004
3.00
24.
003
17.0
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--
01
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--
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tral F
lorid
a3.
001
8.00
26.
002
17.0
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1-
-2.
001
2.00
1-
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1-
-1
122
.006
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ahom
a St
7.00
17.
002
3.00
217
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-1
-1
--
-0
--
-0
--
-0
18.0
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rand
eis*
*13
.002
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14.0
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001
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--
0-
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--
015
.003
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Ham
pshi
re**
3.00
29.
003
3.00
315
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--
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11.
001
--
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--
-0
--
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16.0
09SU
NY
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falo
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2.00
15.
002
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03-
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--
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--
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UT
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ti n19
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14.0
018.
001
41.0
04-
1.00
15.
002
6.00
3-
2-
2-
2-
2-
--
051
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MD
Bal
timor
e C
ount
y**
5.00
14.
001
3.00
112
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001
12.
001
--
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--
-0
--
-0
14.0
04B
osto
n C
11.0
025.
001
3.00
119
.004
--
-0
--
-0
-1
-1
--
-0
20.0
04Fl
orid
a11
11.0
0412
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34.0
08-
1.00
1-
1.00
1-
-1.
001
1.00
1-
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1-
--
037
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Nor
th D
akot
a St
12
14
--
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--
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--
1.00
11.
001
--
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ale
22.0
054.
001
9.00
235
.008
--
3.00
33.
003
--
1.00
11.
001
--
11
--
-0
40.0
12Ill
inoi
s Chi
cago
10.0
034.
002
2.00
116
.006
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-1
-1.
001
12.
001
--
11
--
-0
20.0
07U
C S
anta
Bar
bara
**10
.003
5.00
33.
002
18.0
08-
--
0-
--
0-
--
0-
--
018
.008
Cle
vela
nd S
tate
**2
33.
001
8.00
1-
--
0-
--
01
--
1-
--
09.
001
Wis
cons
in M
ilwau
kee
5.00
16.
001
4.00
215
.004
--
-0
--
-0
1-
-1
--
-0
16.0
04O
rego
n4.
001
6.00
25.
002
15.0
05-
--
0-
--
0-
--
0-
--
015
.005
Mis
sour
i Col
umbi
a3
7.00
24.
001
14.0
031
--
1-
1-
11
--
1-
--
017
.003
UC
Riv
ersi
de3
2.00
16.
002
11.0
03-
--
0-
--
0-
-3.
001
3.00
1-
--
014
.004
Haw
aii M
anoa
8.00
15.
001
-13
.002
--
1.00
11.
001
--
-0
2.00
11.
001
36.
002
--
2.00
22.
002
22.0
07M
aine
**3
4.00
12
9.00
1-
--
0-
--
0-
--
0-
--
09.
001
Stan
ford
19.0
023
6.00
128
.003
--
-0
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2.00
13.
001
3.00
1-
-3.
001
--
-0
34.0
05M
A B
osto
n**
5.00
21.
001
3.00
29.
005
--
-0
--
-0
-1
12
--
-0
11.0
05D
elaw
are
10.0
044.
001
5.00
219
.007
-1
12
-1
-1
-2.
001
-2.
001
--
-0
24.0
08Te
nnes
see
10.0
012
5.00
117
.002
--
-0
--
-0
1-
12
--
-0
19.0
02Po
litic
al S
cien
ce T
otal
363.
066
243.
065
198.
074
804.
205
612
.005
22.0
1240
.017
5.00
110
.004
15.0
0730
.012
11.0
0216
.005
21.0
0548
.012
00
3.00
23.
002
925.
248
Perc
ent w
ithin
rac
e45
%30
%25
%10
0%15
%30
%55
%10
0%17
%33
%50
%10
0%23
%33
%44
%10
0%0%
0%10
0%10
0%Pe
rcen
t of g
rand
tota
l39
.2%
26.3
%21
.4%
86.9
%0.
6%1.
3%2.
4%4.
3%0.
5%1.
1%1.
6%3.
2%1.
2%1.
7%2.
3%5.
2%0%
0%0.
3%0.
3%10
0%Fe
mal
es in
col
umn
18.2
%26
.7%
37.4
%25
.5%
0%41
.7%
54.5
%42
.5%
20.0
%40
.0%
46.7
%40
.0%
18.2
%31
.2%
23.8
%25
.0%
0%0%
66.7
%66
.7%
26.8
%*B
y po
litic
al sc
ienc
e re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; nu
mbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. *
*At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
ande
partm
ent c
hair.
R
efer
ence
:"Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 1
2. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 So
ciol
ogy
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Penn
sylv
ania
St
18.0
014.
002
4.00
326
.006
1-
-1
1-
-1
--
-0
--
-0
28.0
06Io
wa
S t12
.006
10.0
044.
002
26.0
121.
001
1.00
1-
2.00
2-
-1.
001
1.00
1-
--
0-
--
029
.015
Mic
higa
n15
.004
5.00
45.
002
25.0
10-
12.
001
3.00
1-
1.00
1-
1.00
11
1.00
12.
001
4.00
2-
--
033
.014
Wis
cons
in M
adis
on20
.005
8.00
26.
005
34.0
122.
001
--
2.00
11
-1.
001
2.00
11.
001
-1.
001
2.00
21
--
141
.016
NC
Cha
pel H
ill13
.005
33.
001
19.0
06-
-1.
001
1.00
1-
1.00
1-
1.00
11
--
1-
--
022
.008
Bra
ndei
s6.
002
2.00
13.
003
11.0
06-
--
0-
--
0-
-1.
001
1.00
1-
--
012
.007
Col
umbi
a, N
ew Y
ork
16.0
033.
003
3.00
122
.007
--
-0
--
-0
1-
-1
--
-0
23.0
07A
rizon
a9.
002
3.00
15.
003
17.0
061
--
11
--
1-
--
0-
--
019
.006
Penn
sylv
ania
12.0
022.
002
6.00
320
.007
21.
001
-3.
001
--
-0
-1.
001
12.
001
--
-0
25.0
09In
dian
a13
.005
3.00
27.
003
23.0
101.
001
-1
2.00
1-
-1
11
-1
2-
--
028
.011
UC
Ber
kele
y16
.007
2.00
16.
003
24.0
11-
11.
001
2.00
11
1.00
1-
2.00
11
--
1-
--
029
.013
Duk
e12
.006
13.
002
16.0
082.
001
--
2.00
11
1-
2-
--
0-
--
020
.009
UC
LA27
.005
6.00
35.
002
38.0
102
-2.
001
4.00
12
2.00
11
5.00
11.
001
--
1.00
11
--
149
.013
Illin
ois U
rb-C
ham
p3.
001
5.00
34.
003
12.0
07-
1.00
12.
001
3.00
2-
--
01
2-
3-
--
018
.009
Min
neso
ta11
.004
11.0
035.
004
27.0
11-
-1.
001
1.00
1-
--
01
1.00
11.
001
3.00
2-
--
031
.014
UT
Aus
tin20
.004
7.00
44.
001
31.0
091
-3.
001
4.00
11
12.
001
4.00
1-
12.
002
3.00
2-
--
042
.013
UC
San
Die
go
11.0
027.
003
4.00
122
.006
1.00
11
-2.
001
11
13
--
11
--
-0
28.0
07K
ansa
s 6.
003
4.00
25.
004
15.0
091.
001
-1
2.00
1-
--
0-
-1.
001
1.00
1-
--
018
.011
SUN
Y A
lban
y 10
.003
7.00
22.
001
19.0
061
-1.
001
2.00
11
1.00
1-
2.00
11
-1.
001
2.00
1-
--
025
.009
Way
ne S
t3.
002
2.00
13.
002
8.00
5-
12.
001
3.00
1-
-1.
001
1.00
1-
--
0-
--
012
.007
Akr
on3
5.00
33.
002
11.0
05-
2-
2-
-1
1-
--
0-
--
014
.005
Col
orad
o12
.006
2.00
26.
004
20.0
12-
-1.
001
1.00
11.
001
--
1.00
1-
-1.
001
1.00
1-
--
023
.015
Purd
ue13
.003
10.0
057.
003
30.0
11-
1.00
1-
1.00
1-
--
0-
11.
001
2.00
1-
--
033
.013
Del
awar
e11
.006
5.00
23.
001
19.0
092.
002
-1.
001
3.00
33
--
3-
1-
1-
--
026
.012
Flor
ida
St7.
003
3.00
29.
004
19.0
091.
001
--
1.00
1-
--
0-
-1
1-
--
021
.010
Illin
ois C
hica
go6.
002
4.00
3-
10.0
051
1.00
1-
2.00
1-
1.00
11.
001
2.00
21
--
1-
--
015
.008
Geo
rge
Was
hing
ton
31.
001
3.00
37.
004
--
-0
--
-0
--
-0
--
-0
7.00
4M
D C
olle
ge P
ark
11.0
0410
.003
3.00
224
.009
1.00
11.
001
-2.
002
-1
-1
-1.
001
12.
001
--
-0
29.0
12So
uthe
rn C
A7.
002
4.00
21.
001
12.0
05-
1.00
11
2.00
11.
001
-1.
001
2.00
2-
1-
1-
--
017
.008
Neb
rask
a Li
ncol
n 6.
002
3.00
33.
002
12.0
07-
--
01
-2.
001
3.00
1-
--
0-
--
015
.008
Rut
gers
8.00
413
.007
4.00
225
.013
-2.
001
1.00
13.
002
--
-0
--
2.00
22.
002
--
-0
30.0
17W
ashi
ngto
n St
Lou
is17
.004
18.
001
26.0
051
-1.
001
2.00
1-
--
0-
--
0-
--
028
.006
Not
re D
ame
8.00
28.
002
5.00
321
.007
--
11
3-
-3
--
-0
--
-0
25.0
07M
ichi
gan
St12
.004
55.
003
22.0
074.
002
12.
002
7.00
4-
--
0-
-1.
001
1.00
1-
--
030
.012
SUN
Y B
ingh
amto
n**
10.0
012.
001
1.00
113
.003
11
-2
-1
1.00
12.
001
-2.
001
1.00
13.
002
--
-0
20.0
06W
ashi
ngto
n St
47.
005
6.00
517
.010
--
-0
--
-0
1.00
1-
1.00
12.
002
--
-0
19.0
12N
ew H
amps
hire
**7.
004
4.00
23.
002
14.0
08-
--
0-
-1
1-
--
0-
--
015
.008
Cor
nell
7.00
15.
003
113
.004
1-
-1
--
-0
1-
-1
--
-0
15.0
04W
ashi
ngto
n14
.005
6.00
33.
001
23.0
092
-1.
001
3.00
1-
--
01
--
1-
--
027
.010
Geo
rgia
7.00
18.
003
3.00
118
.005
1-
12
--
-0
--
-0
--
-0
20.0
05O
klah
oma
35.
004
3.00
111
.005
--
2.00
22.
002
--
-0
--
-0
--
-0
13.0
07M
emph
is3
4.00
22.
002
9.00
4-
--
0-
-1
1-
--
0-
--
010
.004
Tenn
esse
e3
5.00
22.
001
10.0
032
--
2-
--
0-
-1.
001
1.00
1-
--
013
.004
Mai
ne4
1.00
12.
002
7.00
3-
-1
1-
--
0-
--
0-
--
08.
003
NC
St
10.0
048.
001
5.00
223
.007
-2.
001
-2.
001
--
-0
--
1.00
11.
001
--
-0
26.0
09O
hio
St11
.002
8.00
44.
004
23.0
101.
001
11.
001
3.00
2-
--
01
--
1-
--
027
.012
Con
nect
icut
12.0
043.
001
6.00
421
.009
11
1.00
13.
001
--
-0
-1.
001
12.
001
--
-0
26.0
11Te
xas T
ech
34.
002
1.00
18.
003
--
-0
--
11
1-
-1
--
-0
10.0
03Fl
orid
a In
tern
atio
nal
25.
002
-7.
002
--
-0
3.00
1-
1.00
14.
002
--
-0
--
-0
11.0
04Lo
uisi
ana
St5.
001
42.
001
11.0
021
--
1-
-1
1-
2-
2-
--
015
.002
Soci
olo g
y T
otal
482.
137
248.
114
191.
108
921.
359
36.0
1321
.009
32.0
2089
.042
22.0
0312
.006
19.0
0953
.018
16.0
0315
.006
24.0
1755
.026
20
02
1120
.445
Perc
ent w
ithin
rac
e52
%27
%21
%10
0%40
%24
%36
%10
0%42
%23
%36
%10
0%29
%27
%44
%10
0%10
0%0%
0%10
0%Pe
rcen
t of g
rand
tota
l43
.0%
22.1
%17
.1%
82.2
%3.
2%1.
9%2.
9%7.
9%2.
0%1.
1%1.
7%4.
7%1.
4%1.
3%2.
1%4.
9%0.
2%0%
0%0.
2%10
0%Fe
mal
es in
col
umn
28.4
%46
.0%
56.5
%39
.0%
36.1
%42
.9%
62.5
%47
.2%
13.6
%50
.0%
47.4
%34
.0%
18.8
%40
.0%
70.8
%47
.3%
0%0%
0%0%
39.7
%*B
y so
ciol
ogy
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. *
*At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an d
epar
tmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
2-B
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at S
ocio
logy
Dep
artm
ents
No.
51-
97 b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tG
eor g
ia S
t4
10.0
063.
002
17.0
08-
-2.
002
2.00
2-
--
0-
11.
001
2.00
1-
--
021
.011
UC
Irvi
n e8.
002
4.00
27.
004
19.0
08-
1.00
1-
1.00
11
-1
21
1.00
11
3.00
1-
--
025
.010
Geo
r gia
Tec
h-
-7.
003
7.00
31
--
1-
--
0-
--
0-
--
08.
003
Car
negi
e M
ello
n**
7.00
13.
001
-10
.002
-1.
001
-1.
001
-1
-1
--
2.00
12.
001
--
-0
14.0
04M
isso
uri C
olum
bia
4.00
13.
001
-7.
002
1.00
1-
12.
001
-1
-1
-1
4.00
15.
001
--
-0
15.0
04C
lem
son
3.00
11.
001
4.00
38.
005
--
-0
--
-0
--
-0
--
-0
8.00
5U
C D
avis
11.0
067.
003
321
.009
-2
-2
--
1.00
11.
001
-1.
001
1.00
12.
002
--
-0
26.0
12B
row
n6.
001
7.00
33.
003
16.0
071
--
1-
--
0-
--
0-
--
017
.007
New
Mex
ico
--
-0
--
-0
3-
1.00
14.
001
--
-0
--
-0
4.00
1M
D B
altim
ore
Cou
nty
7.00
24.
002
6.00
417
.008
--
-0
--
-0
--
-0
--
-0
17.0
08N
orth
wes
ter n
12.0
036.
003
1.00
119
.007
2.00
1-
1.00
13.
002
--
11
--
2.00
22.
002
--
-0
25.0
11Pr
ince
ton
12.0
031
3.00
216
.005
1-
-1
3.00
1-
-3.
001
--
11
--
-0
21.0
06Te
xas A
&M
12.0
021.
001
6.00
219
.005
13.
001
-4.
001
11
3.00
35.
003
--
22
--
-0
30.0
09So
uth
Car
olin
a7.
002
4.00
13.
003
14.0
061
--
1-
--
01
--
1-
--
016
.006
Nev
ada
Las V
e gas
**6
4.00
24.
003
14.0
05-
--
0-
--
0-
--
0-
--
014
.005
Nor
th D
akot
a St
5.00
1-
1.00
16.
002
--
-0
--
-0
--
-0
--
-0
6.00
2Pi
ttsbu
r gh
3.00
1-
2.00
15.
002
--
2.00
22.
002
--
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2.00
21.
001
1.00
14.
004
--
-0
11.0
08Fl
orid
a7.
001
6.00
47.
003
20.0
08-
1-
11
1.00
1-
2.00
1-
--
0-
--
023
.009
Iow
a6.
004
26.
003
14.0
07-
--
0-
-1.
001
1.00
11
-1
2-
--
017
.008
Wis
cons
in M
ilwau
kee
3.00
36.
003
3.00
312
.009
-2
-2
1-
-1
-1
3.00
14.
001
-1
-1
20.0
10M
I T5.
003
12.
001
8.00
4-
-1
11
-2
3-
--
0-
--
012
.004
New
Yor
k20
.006
5.00
21
26.0
081
-1.
001
2.00
13.
001
-1.
001
4.00
21
1-
2-
--
034
.011
Okl
ahom
a St
43.
002
4.00
111
.003
1.00
1-
-1.
001
--
-0
--
11
-1
-1
14.0
04U
C R
iver
side
17.0
022.
002
1.00
120
.005
1-
12
2-
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-1.
001
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001
--
-0
25.0
06K
entu
cky
8.00
16.
004
1.00
115
.006
1.00
11.
001
-2.
002
--
-0
--
1.00
11.
001
--
-0
18.0
09M
issi
ssi p
pi S
t8
4.00
14.
002
16.0
03-
1-
1-
--
01
--
1-
--
018
.003
Bos
ton
C9.
003
5.00
31.
001
15.0
07-
1.00
11
2.00
1-
--
0-
--
0-
1.00
1-
1.00
118
.009
SUN
Y S
ton y
Bro
ok10
.002
32.
001
15.0
03-
1.00
1-
1.00
1-
1-
1-
-1
1-
--
018
.004
Geo
r ge
Mas
on4.
001
6.00
44.
002
14.0
071
--
1-
--
0-
--
0-
--
015
.007
San
Die
go S
t2.
002
5.00
22
9.00
41
--
1-
1.00
1-
1.00
12.
002
1-
3.00
2-
--
014
.007
Cen
tral F
lorid
a3.
002
8.00
55.
003
16.0
10-
--
0-
-1
1-
--
0-
--
017
.010
Vir g
inia
Tec
h9.
001
5.00
21.
001
15.0
04-
14.
001
5.00
1-
--
0-
--
0-
--
020
.005
Ariz
ona
S t2.
001
5.00
41
8.00
5-
--
01
1.00
1-
2.00
1-
-1
1-
--
011
.006
Stan
ford
10.0
05-
4.00
214
.007
1-
-1
--
-0
11
-2
1-
-1
18.0
07M
A B
osto
n5.
002
3.00
14.
002
12.0
05-
-2
2-
-1
1-
11.
001
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gon
7.00
35.
002
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115
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11
-2.
001
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18.0
07H
arva
r d11
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12.
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14.0
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.007
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and
St3.
001
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12.
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10.0
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001
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013
.006
UC
San
ta B
arba
ra16
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21
20.0
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11.
001
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12.
001
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4.00
22.
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3.00
11.
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130
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Haw
aii M
anoa
6.00
23.
001
110
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22.
001
1.00
15.
002
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falo
32
6.00
411
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001
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cuse
4.00
34.
002
2.00
210
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-1
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1.00
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002
--
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ale
9.00
22.
001
4.00
215
.005
--
2.00
22.
002
--
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17.0
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leve
land
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te4.
001
3.00
12.
002
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1-
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--
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001
2.00
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--
012
.006
Van
derb
ilt6.
003
3.00
14.
002
13.0
06-
-1
1-
--
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--
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--
014
.006
Geo
rget
own
4.00
11
1.00
16.
002
1.00
1-
-1.
001
--
11
--
-0
--
-0
8.00
3So
ciol
ogy
Tot
al31
5.09
116
5.07
813
6.07
761
6.24
619
.005
21.0
1023
.011
63.0
2619
.003
10.0
0317
.008
46.0
1415
.006
18.0
0729
.014
62.0
272.
001
4.00
20
6.00
379
3.31
6Pe
rcen
t with
in r
ace
51%
27%
22%
100%
30%
33%
37%
100%
41%
22%
37%
100%
24%
29%
47%
100%
33%
67%
0%10
0%Pe
rcen
t of g
rand
tota
l39
.7%
20.8
%17
.2%
77.7
%2.
4%2.
6%2.
9%7.
9%2.
4%1.
3%2.
1%5.
8%1.
9%2.
3%3.
7%7.
8%0.
3%0.
5%0%
0.8%
100%
Fem
ales
in c
olum
n28
.9%
47.3
%56
.6%
39.9
%26
.3%
47.6
%47
.8%
41.3
%15
.8%
30.0
%47
.1%
30.4
%40
.0%
38.9
%48
.3%
43.5
%50
.0%
50.0
%0%
50.0
%39
.8%
*By
soci
olog
y re
sear
ch e
xpen
ditu
res F
Y20
04, N
SF, w
ww
.nsf
.gov
/sta
tistic
s/ns
f063
23/ta
bles
.htm
#rd7
; num
bers
afte
r dec
imal
s des
igna
te fe
mal
es.
**A
t lea
st so
me
data
are
from
sour
ces o
ther
than
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
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llA
ssoc
Ass
tTo
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isco
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Mad
ison
25.0
12-
-25
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001
12.
001
--
-0
--
2.00
12.
001
--
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29.0
14Pe
nn S
t**
14.0
0618
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7.00
239
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--
11
--
11
1.00
11.
001
1.00
13.
003
--
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44.0
18N
ew Y
ork
25.0
083
6.00
234
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--
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2.00
1-
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001
--
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--
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36.0
11R
oche
ste r
9.00
11.
001
3.00
113
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--
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--
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13.0
03Ill
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s Urb
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mp
31.0
088.
002
12.0
0551
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11
--
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13.
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13.
002
2.00
17.
004
--
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62.0
20G
eor g
ia18
.006
12.0
055.
002
35.0
131.
001
--
1.00
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001
1.00
1-
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--
037
.015
Con
nect
icut
24.0
0615
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9.00
648
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--
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001
12.
001
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50.0
19M
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22.0
046.
001
10.0
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--
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42.0
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a31
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6.00
17.
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UC
L A36
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8.00
28.
004
52.0
183.
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25.
001
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Geo
r gia
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9.00
39.
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11.0
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11
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13.
001
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001
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35.0
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C B
erke
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21.0
076.
003
7.00
434
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--
1.00
11.
001
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001
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002
--
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11.
001
42.0
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12.0
042.
002
43.0
15-
--
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Mem
phis
1210
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8.00
130
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--
2.00
22.
002
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33.0
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gan
62.0
2213
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9.00
484
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23.
003
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16.
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15.
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29.
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15.0
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7.00
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001
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33.0
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26.0
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lth S
ci10
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9.00
42
21.0
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Col
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o23
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13.0
024.
002
40.0
11-
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01.
001
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32.
001
6.00
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--
048
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Prin
ceto
n18
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16.
001
25.0
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1.00
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--
027
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Neb
rask
a15
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33.
002
21.0
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01
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001
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126
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derb
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Jose
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6.00
27.
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115
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14.
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9.00
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21.0
038.
002
7.00
536
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11.0
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14.0
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230
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15.0
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10.0
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29.0
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19.0
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7.00
334
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15.0
053.
001
5.00
123
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22.0
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10.0
0510
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3.00
123
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--
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negi
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22.
001
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9.00
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115
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18.0
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6.00
432
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002
6.00
29.
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24.0
082
2.00
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Mis
sour
i Col
umbi
a13
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7.00
311
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31.0
09-
--
01.
001
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1-
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--
034
.011
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o St
25.0
079.
004
7.00
241
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1-
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1-
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--
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n U
15.0
0710
.006
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12.0
039.
003
3.00
224
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9.00
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002
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003
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cago
**12
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5.00
14.
001
21.0
041
--
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01
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023
.004
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h C
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ina
18.0
076.
002
11.0
0535
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001
3.00
34.
004
--
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-0
--
-0
39.0
18C
UN
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r Col
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14.0
066.
004
1.00
121
.011
11.
001
-2.
001
1.00
1-
2.00
23.
003
-2
-2
--
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28.0
15D
artm
outh
9.00
13.
001
3.00
115
.003
--
-0
--
-0
--
11
--
-0
16.0
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l Hill
19.0
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7.00
538
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2.00
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003
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-0
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001
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16.
002
12.0
04-
--
0-
--
0-
--
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012
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Psyc
holo
gy T
otal
894.
265
365.
143
287.
123
1546
.531
21.0
0612
.009
22.0
1555
.030
24.0
0820
.011
19.0
1163
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25.0
0934
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40.0
1799
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03.
002
4.00
17.
003
1770
.637
Perc
ent w
ithin
rac
e58
%24
%19
%10
0%38
%22
%40
%10
0%38
%32
%30
%10
0%25
%34
%40
%10
0%0%
43%
57%
100%
Perc
ent o
f gra
nd to
tal
50.5
%20
.6%
16.2
%87
.3%
1.2%
0.7%
1.2%
3.1%
1.4%
1.1%
1.1%
3.6%
1.4%
1.9%
2.3%
5.6%
0%0.
2%0.
2%0.
4%10
0%Fe
mal
es in
col
umn
29.6
%39
.2%
42.9
%34
.3%
28.6
%75
.0%
68.2
%54
.5%
33.3
%55
.0%
57.9
%47
.6%
36.0
%50
.0%
42.5
%43
.4%
0%67
%25
.0%
43%
36.0
%*B
y ps
ycho
logy
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir.
Ref
eren
ce:"
The
Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Tab
le 1
3. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he "
Top
50"
Psy
chol
ogy
Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*
Tab
le 1
3-B
. T
enu
red
/Ten
ure
Tra
ck F
acu
lty
at th
e "T
op 5
1 - 1
00"
Psy
chol
ogy
Dep
artm
ents
by
Rac
e/E
thn
icit
y, b
y G
end
er, a
nd
by
Ran
k (F
Y 2
007)
*W
hit
eB
lack
His
pan
icA
sian
Nat
ive
Am
eric
anT
otal
Un
iver
sit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
New
Mex
ico
6.00
25.
001
9.00
420
.007
--
-0
--
-0
-1.
001
-1.
001
--
2.00
12.
001
23.0
09H
oust
on12
.001
7.00
47.
005
26.0
10-
--
0-
1-
1-
-1.
001
1.00
1-
--
028
.011
Purd
ue26
.003
13.0
064.
003
43.0
12-
11.
001
2.00
1-
--
0-
--
0-
-1
146
.013
Iow
a**
11.0
037.
001
4.00
322
.007
--
-0
--
-0
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23
--
-0
25.0
07C
orne
ll15
.005
43.
001
22.0
06-
--
0-
-2.
001
2.00
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--
024
.007
Penn
s ylv
ania
15.0
042.
002
10.0
0427
.010
--
-0
--
-0
--
-0
--
-0
27.0
10K
entu
cky
11.0
0210
.005
122
.007
-2.
002
-2.
002
--
-0
--
-0
--
-0
24.0
09M
A A
mhe
rst*
*31
.011
3.00
36.
004
40.0
18-
-1
1-
-1
1-
-1.
001
1.00
1-
--
043
.019
Vir
gini
a C
omm
onw
ealt
h12
.002
10.0
063.
001
25.0
091.
001
3-
4.00
11.
001
-1.
001
2.00
2-
--
0-
--
031
.012
MD
Col
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134.
0042
SUN
Y S
ton y
Bro
ok35
.000
77.
0005
4.00
0146
.001
31
--
11
--
1-
-1
1-
--
049
.001
3V
ir gin
ia18
.000
17.
0004
227
.000
5-
--
0-
--
01
--
1-
--
028
.000
5K
entu
cky
23.0
006
20.0
006
5.00
0148
.001
3-
1-
1-
--
02
21
5-
1-
155
.001
3H
arva
r d73
.001
020
.000
514
.000
310
7.00
181
--
1-
1.00
01-
1.00
018.
0003
3.00
016.
0003
17.0
007
--
-0
126.
0026
Illin
ois U
rb C
ham
p60
.000
717
.000
629
.001
110
6.00
24-
--
0-
2.00
014
6.00
012.
0001
6.00
025
13.0
003
--
-0
125.
0028
SUN
Y B
uffa
lo13
.000
26.
0001
7.00
0326
.000
6-
--
0-
-1
11
-2
3-
--
030
.000
6Io
wa
25.0
004
13.0
005
13.0
002
51.0
011
--
-0
--
-0
93.
0002
-12
.000
2-
--
063
.001
3C
onne
ctic
ut35
.000
527
.000
99.
0004
71.0
018
--
-0
--
2.00
012.
0001
12.
0001
-3.
0001
--
-0
76.0
020
Illin
ois C
hica
go14
.000
58.
0004
123
.000
9-
--
01
3.00
02-
4.00
02-
-1.
0001
1.00
011
--
129
.001
2U
. CA
, San
Die
go35
.000
212
.000
317
.001
764
.002
2-
-3.
0001
3.00
014
--
47
55.
0001
17.0
001
--
-0
88.0
024
Bio
logi
cal S
ci T
otal
2121
.037
585
4.02
7167
9.02
6736
54.0
913
18.0
003
14.0
006
19.0
007
51.0
016
39.0
003
28.0
012
40.0
012
107.
0027
196.
0040
156.
0037
200.
0051
552.
0128
35.
0001
2.00
0110
.000
243
74.1
086
Perc
ent w
ithin
rac
e58
%23
%19
%10
0%35
%27
%37
%10
0%36
%26
%37
%10
0%36
%28
%36
%10
0%30
%50
%20
%10
0%Pe
rcen
t of g
rand
tota
l48
.5%
19.5
%15
.5%
83.5
%0.
4%0.
3%0.
4%1.
2%0.
9%0.
6%0.
9%2.
4%4.
5%3.
6%4.
6%12
.6%
0.1%
0.1%
0.0%
0.2%
100%
Fem
ales
in c
olum
n17
.7%
31.7
%39
.3%
25.0
%16
.7%
42.9
%36
.8%
31.4
%7.
7%42
.9%
30.0
%25
.2%
20.4
%23
.7%
25.5
%23
.2%
0%20
.0%
50.0
%20
.0%
24.8
%*B
y bi
olog
ical
scie
nces
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
:"Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 1
4. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 B
iolo
gica
l Sci
ence
s Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*
Tab
le 1
4-B
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at B
iolo
gica
l Sci
ence
s Dep
artm
ents
No.
51-
100
by R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
Whi
teB
lack
His
pani
cA
sian
Nat
ive
Am
eric
anT
otal
Uni
vers
it yFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tFu
llA
ssoc
Ass
tTo
tR
utge
rs10
2.00
1539
.001
214
.000
315
5.00
301
--
11
1.00
011
3.00
0118
.000
44.
0002
7.00
0329
.000
9-
--
018
8.00
40Fl
orid
a99
.001
138
.001
244
.001
218
1.00
352.
0001
5.00
012.
0001
9.00
034
32
94
46.
0001
14.0
001
--
-0
213.
0039
MA
Wor
cest
er* *
24.0
009
16.0
003
15.0
007
55.0
019
-2.
0001
-2.
0001
--
11
2-
24
--
-0
62.0
020
U. C
A B
erke
ley
80.0
018
12.0
004
23.0
009
115.
0031
1-
-1
2.00
01-
-2.
0001
10.0
001
3.00
015.
0001
18.0
003
--
-0
136.
0035
Emor
y15
.000
211
.000
24.
0001
30.0
005
1-
-1
-1
-1
11
4.00
016.
0001
--
-0
38.0
006
Thom
as Je
ffer
son
42.
0001
-6.
0001
--
-0
--
-0
-2
-2
--
-0
8.00
01C
olor
ado
42.0
009
14.0
003
19.0
005
75.0
017
1-
-1
1-
12
24.
0001
-6.
0001
--
-0
84.0
018
Roc
hest
e r11
.000
19.
0005
20.0
003
40.0
009
--
-0
--
-0
35.
0002
4.00
0212
.000
4-
--
052
.001
3W
ashi
n gto
n St
ate
30.0
003
15.0
005
11.0
003
56.0
011
--
-0
--
-0
4.00
021
16.
0002
--
-0
62.0
013
New
Yor
k24
.000
416
.000
313
.000
253
.000
9-
--
01
--
12.
0001
3.00
021.
0001
6.00
04-
--
060
.001
3Te
nnes
see
15.0
004
511
.000
231
.000
6-
-1.
0001
1.00
01-
--
0-
-1
1-
--
033
.000
7TX
HS,
San
Ant
onio
**27
.000
78.
0006
14.0
006
49.0
019
--
11
--
-0
22.
0001
9.00
0313
.000
4-
--
063
.002
3M
edic
al U
. Sou
th C
arol
ina
33.0
004
16.0
006
32.0
028
81.0
038
-1
-1
--
-0
8.00
022.
0001
4.00
0114
.000
4-
--
096
.004
2M
aryl
and
Bal
timor
e15
.000
217
.000
410
.000
242
.000
82
--
21
--
11
2.00
016
9.00
01-
--
054
.000
9Io
wa
Stat
e84
.000
545
.001
228
.001
015
7.00
27-
1-
13.
0001
12.
0001
6.00
024.
0001
5.00
012
11.0
002
-1
-1
176.
0031
Yes
hiva
11.0
001
5.00
0510
.000
526
.001
1-
--
01
--
12
-2
4-
--
031
.001
1M
isso
uri C
olum
bia
16.0
002
10.0
002
6.00
0232
.000
6-
-1
11.
0001
-2.
0001
3.00
021
12.
0001
4.00
01-
--
040
.000
9C
al T
ech
28.0
008
14.
0001
33.0
009
1-
-1
--
-0
2-
13
--
-0
37.0
009
UC
San
Fra
ncis
co54
.001
712
.000
213
.000
279
.002
1-
--
02
--
24
35.
0001
12.0
001
--
-0
93.0
022
TX H
S, H
oust
o n11
.000
24.
0001
3.00
0118
.000
4-
--
0-
--
01
12.
0001
4.00
01-
--
022
.000
5M
edic
al C
. Wis
cons
in**
22.0
005
16.0
006
12.0
005
50.0
016
--
-0
--
1.00
011.
0001
5.00
012
4.00
0111
.000
2-
--
062
.001
9Pe
nns y
lvan
ia S
tate
30.0
006
13.0
001
15.0
006
58.0
013
11
13
--
-0
53
6.00
0114
.000
1-
--
075
.001
4Pu
rdue
28.0
004
6.00
027.
0002
41.0
008
--
-0
--
22
11
8.00
0210
.000
2-
--
053
.001
0U
tah
8.00
024.
0002
5.00
0117
.000
5-
--
01
-1
2-
--
0-
--
019
.000
5O
rego
n St
ate
21.0
003
11.0
006
8.00
0540
.001
4-
--
02
-1
31
14.
0001
6.00
01-
--
049
.001
5V
ir gin
ia C
omm
onw
ealth
814
.000
49.
0004
31.0
008
--
1.00
011.
0001
-1
2.00
023.
0002
-2
2.00
014.
0001
--
-0
39.0
012
Prin
ceto
n12
.000
23.
0001
1.00
0116
.000
4-
--
0-
--
0-
--
0-
--
016
.000
4M
edic
al C
. Geo
r gia
9.00
024.
0002
6.00
0219
.000
6-
--
0-
3-
31
-5.
0003
6.00
03-
--
028
.000
9O
klah
oma
21.0
005
12.0
003
15.0
005
48.0
013
--
-0
11
-2
3-
25
1.00
012
-3.
0001
58.0
014
Texa
s A&
M17
.000
212
.000
212
.000
341
.000
7-
--
0-
11
2-
2.00
012.
0001
--
-0
45.0
008
Ver
mon
t16
.000
419
.000
79.
0002
44.0
013
--
-0
1-
3.00
014.
0001
--
33
--
-0
51.0
014
New
Mex
ico
21.0
003
57.
0001
33.0
004
--
-0
1.00
011.
0001
1.00
013.
0003
--
-0
--
-0
36.0
007
Ark
ansa
s53
.000
213
.000
32.
0001
68.0
006
--
-0
--
-0
-3.
0002
36.
0002
-1
-1
75.0
008
Col
orad
o St
ate
36.0
009
17.0
009
19.0
008
72.0
026
3-
-3
--
33
2-
4.00
016.
0001
--
-0
84.0
027
Bra
ndei
s11
.000
54.
0001
3.00
0118
.000
7-
--
0-
--
01.
0001
2.00
01-
3.00
02-
--
021
.000
9K
ansa
s Sta
te25
.000
313
.000
414
.000
552
.001
2-
--
01
-4.
0003
5.00
035
41
10-
--
067
.001
5M
iam
i21
.000
38.
0001
8.00
0537
.000
9-
--
02
--
23
53
11-
--
050
.000
9N
evad
a R
eno
10.0
001
9.00
037.
0001
26.0
005
--
-0
-1
1.00
012.
0001
-1
12
-1
-1
31.0
006
UT
Aus
ti n71
.001
218
.000
426
.000
711
5.00
23-
--
0-
22
43.
0001
210
.000
415
.000
5-
--
013
4.00
28A
rizon
a St
ate*
*52
.000
433
.001
127
.000
711
2.00
22-
--
01
1-
22
4.00
028.
0001
14.0
003
--
-0
128.
0025
New
Yor
k M
edic
al C
.7.
0002
2.00
01-
9.00
03-
--
0-
--
06.
0002
-1
7.00
02-
--
016
.000
5SU
NY
HS
Ctr.
Bro
okl y
n9.
0004
4.00
016.
0003
19.0
008
--
-0
--
11
-1
-1
--
-0
21.0
008
Meh
arr y
Med
ical
C.
2.00
011.
0001
1.00
014.
0003
48.
0002
4.00
0216
.000
42
--
26
15.
0003
12.0
003
--
-0
34.0
010
Geo
r get
own
17.0
004
10.0
004
5.00
0432
.001
2-
--
0-
11.
0001
2.00
013.
0002
12
6.00
02-
--
040
.001
5O
klah
oma
Stat
e22
.000
59.
0001
7.00
0438
.001
0-
1-
11
--
11
-1
2-
--
042
.001
0Tu
lane
11.0
001
7.00
035.
0002
23.0
006
-1
-1
--
-0
1-
12
--
-0
26.0
006
Tem
ple*
*14
.000
24.
0002
321
.000
4-
--
0-
--
02
-2
4-
--
025
.000
4D
rexe
l22
.000
712
.000
314
.000
748
.001
7-
--
0-
--
0-
2.00
02-
2.00
02-
--
050
.001
9St
anfo
rd78
.001
616
.000
519
.000
911
3.00
30-
11
21
-1
26.
0001
-6
12.0
001
--
-0
129.
0031
Mar
y lan
d B
iote
ch In
st**
12.0
001
7.00
012
21.0
002
--
-0
--
-0
23.
0001
3.00
018.
0002
--
-0
29.0
004
Bio
logi
cal S
ci T
otal
1411
.024
460
1.01
8256
8.02
0625
80.0
632
17.0
001
21.0
004
12.0
005
50.0
010
31.0
004
18.0
002
34.0
012
83.0
018
130.
0019
81.0
020
151.
0036
362.
0075
1.00
015
06.
0001
3081
.073
6Pe
rcen
t with
in r
ace
55%
23%
22%
100%
34%
42%
24%
100%
37%
22%
41%
100%
36%
22%
42%
100%
17%
83%
0%10
0%Pe
rcen
t of g
rand
tota
l45
.8%
19.5
%18
.4%
83.7
%0.
6%0.
7%0.
4%1.
6%1.
0%0.
6%1.
1%2.
7%4.
2%2.
6%4.
9%11
.7%
0.0%
0.2%
0%0.
2%10
0%Fe
mal
es in
col
umn
17.3
%30
.3%
36.3
%24
.5%
5.9%
19.0
%41
.7%
20.0
%12
.9%
11.1
%35
.3%
21.7
%14
.6%
24.7
%23
.8%
20.7
%10
0%0%
0%16
.7%
23.9
%*B
y bi
olog
ical
scie
nces
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At a
t lea
st so
me
data
are
from
sour
ces o
ther
than
depa
rtmen
t cha
ir. R
efer
ence
:"Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7;
http
://ch
emin
fo.c
hem
.ou.
edu/
facu
lty/d
jn/d
iver
sity
/top5
0.ht
ml
Tab
le 1
5. T
enur
ed/T
enur
e T
rack
Fac
ulty
at t
he T
op 5
0 E
arth
Sci
ence
s Dep
artm
ents
by
Rac
e/E
thni
city
, by
Gen
der,
and
by
Ran
k (F
Y 2
007)
*W
hite
Bla
ckH
ispa
nic
Asi
anN
ativ
e A
mer
ican
Tot
alU
nive
rsit y
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Full
Ass
ocA
sst
Tot
Col
orad
o10
.003
55.
004
20.0
07-
--
01
-1
2-
-1.
001
1.00
1-
--
023
.008
Col
orad
o S t
--
11
--
-0
--
-0
-1
-1
--
-0
2Ill
inoi
s Urb
Cha
mpa
ign
37.0
0422
.002
9.00
268
.008
--
-0
-2
4.00
16.
001
-2.
001
-2.
001
--
-0
76.0
10U
C S
an D
iego
75.0
103.
002
5.00
183
.013
--
-0
2-
-2
5-
2.00
27.
002
--
-0
92.0
15W
oods
Hol
e O
cean
Ins t
10.0
0312
.004
123
.007
--
-0
-1
-1
--
11
--
-0
25.0
07U
T A
usti n
25.0
015
232
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1510
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y ea
rth sc
ienc
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sear
ch e
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res F
Y20
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SF, w
ww
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/sta
tistic
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; num
bers
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r dec
imal
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te fe
mal
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t lea
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me
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ther
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ent c
hair.
Ref
eren
ce:
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Nel
son
Div
ersi
ty S
urve
ys"
Nel
son,
D. J
.: N
orm
an, O
K, 2
007;
ht
tp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
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ty/to
p50.
htm
l
Tab
le 1
5-B
. T
enur
ed/T
enur
e T
rack
Fac
ulty
at E
arth
Sci
ence
s Dep
artm
ents
No.
51-
90 b
y R
ace/
Eth
nici
ty, b
y G
ende
r, a
nd b
y R
ank
(FY
200
7)*
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teB
lack
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pani
cA
sian
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ive
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eric
anT
otal
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vers
it yFu
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tTo
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ta B
arba
ra16
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001
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tr En
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ci**
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118
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nst o
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l**
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003
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hode
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001
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22
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001
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13
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003
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001
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002
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--
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hern
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siss
i ppi
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610
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auke
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003
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001
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002
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195.
001
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Ear
th S
cien
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447.
055
166.
034
130.
039
743.
128
4.00
11.
001
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002
9.00
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001
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223
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001
829.
142
Perc
ent w
ithin
rac
e60
%22
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t of g
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7%2.
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3%0.
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0%Fe
mal
es in
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umn
12.3
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0%0%
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*By
earth
scie
nces
rese
arch
exp
endi
ture
s FY
2004
, NSF
, ww
w.n
sf.g
ov/s
tatis
tics/
nsf0
6323
/tabl
es.h
tm#r
d7; n
umbe
rs a
fter d
ecim
als d
esig
nate
fem
ales
. **
At l
east
som
e da
ta a
re fr
om so
urce
s oth
er th
an
depa
rtmen
t cha
ir. R
efer
ence
: "Th
e N
elso
n D
iver
sity
Sur
veys
" N
elso
n, D
. J.:
Nor
man
, OK
, 200
7; h
ttp://
chem
info
.che
m.o
u.ed
u/fa
culty
/djn
/div
ersi
ty/to
p50.
htm
l
Addenda. Nelson Diversity Surveys Final Report. Dr. Donna J. Nelson
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Nelson Diversity Surveys
“Top 50” Departments http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A1. “Top 50” STEM female faculty representation during FY2002, FY2005, and FY2007
Nelson Diversity Surveys “Top 50” Departments
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A2. “Top 50” STEM Black faculty representation during FY2002, FY2005, and FY2007
Nelson Diversity Surveys “Top 50” Departments
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A3. “Top 50” STEM Hispanic faculty representation during FY2002, FY2005, and FY2007
Nelson Diversity Surveys “Top 50” Departments
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A4. “Top 50” STEM Native American faculty representation, FY2002 to FY2007
Nelson Diversity Surveys “Top 50” Departments
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A5. “Top 50” STEM Asian faculty representation, FY2002, FY2005, and FY2007
Nelson Diversity Surveys “Top 50” Departments
http://chem.ou.edu/~djn/diversity/Faculty_Tables_FY07/07Report.pdf
Figure A6. “Top 50” STEM White male faculty representation, FY2002, FY2005, and FY2007