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Judith S. Olson and Gary M. Olson University of California Irvine
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Judith S. Olson and Gary M. Olson University of California ...

Feb 01, 2022

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Page 1: Judith S. Olson and Gary M. Olson University of California ...

Judith S. Olson and Gary M. Olson University of California Irvine

Page 2: Judith S. Olson and Gary M. Olson University of California ...

What technologies and infrastructure are needed to support Team Science? Communication Coordination Information repositories Computational infrastructure

What factors should be considered in putting

together this suite?

Page 3: Judith S. Olson and Gary M. Olson University of California ...

Most science teams are distributed In space In time

What’s hard about working in a distributed team

What technologies can help Kinds of technologies How they help what’s hard

How to decide what you need

Page 4: Judith S. Olson and Gary M. Olson University of California ...

20 years of experience studying distributed science teams

Literature from business, sociology, informatics, ….

Working Together Apart

Judith S Olson Gary M Olson

Page 5: Judith S. Olson and Gary M. Olson University of California ...

Large science begets distance

Distance presents challenges

Page 6: Judith S. Olson and Gary M. Olson University of California ...

Asynchronous work is distributed in time Project management Data repositories Shared computational

resources

Page 7: Judith S. Olson and Gary M. Olson University of California ...

More than 30 meters apart Different floors of a

building Different buildings on

campus

Page 8: Judith S. Olson and Gary M. Olson University of California ...

Blind and invisible Lose awareness

Time zone differences Crossing institutions Crossing cultural boundaries Uneven distribution begets power differences

Technologies can help but they need appropriate social practices

surrounding them

Page 9: Judith S. Olson and Gary M. Olson University of California ...

Communication

Synchronous or near

Asynchronous

Coordination

Information Repositories

Infra structure

Coordination

Page 10: Judith S. Olson and Gary M. Olson University of California ...

Email

Texting

Audio conferencing

Video conferencing

Page 11: Judith S. Olson and Gary M. Olson University of California ...

Chat…….. Forum Blog Wiki…………………………..

Virtual Worlds………….

Page 12: Judith S. Olson and Gary M. Olson University of California ...

Shared calendars

Awareness tools

Page 13: Judith S. Olson and Gary M. Olson University of California ...

Meeting support

Large visual displays

Page 14: Judith S. Olson and Gary M. Olson University of California ...

Workflow

Resource scheduling

Page 15: Judith S. Olson and Gary M. Olson University of California ...

Dropbox

Sharepoint

Google Drive

Page 16: Judith S. Olson and Gary M. Olson University of California ...
Page 17: Judith S. Olson and Gary M. Olson University of California ...

System architecture Private, secure machines Massive data ▪ ATLAS produces 23 petabytes per second

Standard office machines and servers Cloud services

Each with their own behavioral consequences

Page 18: Judith S. Olson and Gary M. Olson University of California ...

Computational resources For high-end computational needs ▪ NCAR develops these in-house ▪ NSF supporting these projects ▪ GRID

For ordinary computation ▪ Office technology

Human computation ▪ Crowdsourcing ▪ Guttenberg character recognition ▪ Christmas bird count

Page 19: Judith S. Olson and Gary M. Olson University of California ...

Being blind and invisible Video conferencing Awareness ▪ Both in the moment and ▪ Over longer terms

Time zones Shared calendars Awareness of what others have been doing

Page 20: Judith S. Olson and Gary M. Olson University of California ...

Cross institutions Calendars Protocols for IRBs, Intellectual property…

Cross country boundaries Information sharing on holidays, customs GlobeSmart

Page 21: Judith S. Olson and Gary M. Olson University of California ...

Uneven distribution of people implying uneven power Meeting dynamics to “hear” everyone ▪ From the manager

Page 22: Judith S. Olson and Gary M. Olson University of California ...

It’s complicated Speed of response Size of data Security Privacy Accessibility Richness of what needs to be transmitted Ease of use Context of use Compatibility with other things used COST

Page 23: Judith S. Olson and Gary M. Olson University of California ...

Is this collaboratory using all the technology it should? Communication Coordination Information repositories Infrastructure

Is it considering the range of possibilities? What are the obstacles? Money User training ….

Choose wisely, reassess periodically