David De Roure New Forms of Data and Scientific Research
Jun 14, 2015
David De Roure
New Forms of Data andScientific Research
Chr
istin
e B
orgm
an
DAMES
LifeGuide
eStat
PolicyGrid
Obesity e-Lab
DReSS
OeSS
Genesis
Genesis
Rural communities
Creative Industries
Social Inclusion
Entertainment
Healthcare
highwire
Horizon
Media
Finance
Web Science
Current Nodes
e-Social Science
DE Hubs
DE DTCs
GeoVUE
MoSeS
MiMeG
CQeSS
HUB
NeISS
ncrm
m
m
m m
mm
m
mm
NCRM phase 2
Harnessing advances in digital technology and practice to achieve world-class social
research with maximum impact
www.digitalsocialresearch.net
ds
d NCRM phase 3
Demonstrators& Sustainability
d
ss
s
d
m
More people
Mor
e m
achi
nes
Quadrant 2
Big Data andComputation
Quadrant 1
ConventionalComputation
Quadrant 4
Social
Machines
Quadrant 3
SocialNetworking
Cyberinfrastructuree-infrastructure
Science 2.0Citizen Science
e-Scien
ce
David De Roure
F i r s t
Bio
Ess
ays,
, 26
(1):
99–
105,
Jan
uary
200
4
http://research.microsoft.com/en-us/collaboration/fourthparadigm/
• Paul writes workflows for identifying biological pathways implicated in resistance to Trypanosomiasis in cattle
• Paul meets Jo who is investigating Whipworm in mouse.
• Jo reuses one of Paul’s workflow without change.
• Jo identifies the biological pathways involved in sex dependence in the mouse model, believed to be involved in the ability of mice to expel the parasite.
• Previously a manual two year study by Jo had failed to do this.
Computational Workflows
Carole Goble
The Problem
signal
understanding
Ich Fujinaga
seasr.org/meandreMeandre
Stephen Downie
Chris Lintott
Scientists
TalkForum
ImageClassification
data reduction
Citizen Scientists
The challenge is to foster the co-constituted socio-technical system on the right i.e. a computationally-enabled sense-making network of expertise, data, models and narratives.
Big data elephant versus sense-making network?
Iain Buchan
data
method
http://www.myexperiment.org/
www.researchobject.org
Jun Zhao
Bill Browne
Web as lens
Web as artefact
Web as
infrastructure
Web Observatorieshttp://www.w3.org/community/webobservatory/
Nigel Shadbolt et al
Real life is and must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration… The stage is set for an evolutionary growth of new social engines. Berners-Lee, Weaving the Web, 1999
The Order of Social Machines
Some Social Machines
Four take-home messages:
1. Quadrant 4 = more machines + more people
2. Paradigm shift to data-driven research: statistical challenges
3. What are the objects in the sensemaking network and how are they shared?
4. New forms of data => New methods, new objects, new intermediaries in the data ecosystem, and new Social Machines
Conclusion
[email protected]/people/dderwww.scilogs.com/eresearch@dder
Thanks to: Christine Borgman, Carole Goble, Ichiro Fujinaga, Stephen Downie, Chris Lintott, Iain Buchan, Jun Zhao, William Browne
http://www.slideshare.net/davidderoure/new-forms-of-data-and-scientific-research