https://hackpad.com/SSPoS-
Monday, 7 April 2014
A developing document of resources (data, tools) for simulating the social processes of science
Please add any computational tools, or sources of data useful for this topic:
https://hackpad.com/SSPoS- resource-list-CUcVelM17bP
https://hackpad.com/SSPoS-
Nicolas Payette on "Agent-Based Models of Science: A Glimpse of the Past and Tools for the Future"
The introductory talk at the LC workshop.
His slides are: http://cfpm.org/spos/lcw/sspos-nicolaspayette-expanded.pdf
His slides are: http://cfpm.org/spos/lcw/sspos-nicolaspayette-expanded.pdf
Links for the Two papers mentioned by Kay Borner in her talk
The Simultaneous Evolution of Author and Paper Networks
Available at: http://arxiv.org/abs/cond-mat/0311459
Collective allocation of science funding: from funding agencies to scientific agency
Available at: http://arxiv.org/abs/1304.1067
Most recent timetable for the Lorentz Workshop
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Monday
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Tuesday
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Wednesday
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Thursday
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Friday
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Theme
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Context, Positions and
Approaches
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Models and Underpinnings
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Models and Applications
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Applications, Open Questions,
Directions and Issues
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What next?
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9:00
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Registration and Coffee
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Mario Paolucci and Francisco Grimaldo: developing
simulation models of peer review
Elena Mas Tur: Diffusion
of scientific knowledge: a percolation model
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Ingo Scholtes:
lessons from open source and citations
Alexander Petersen: Quantifying
the role of teamwork and reputation
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Diego Garlaschelli: long-term
cultural diversity and short-term collective behaviour
Janusz Holyst:
Information slows down hierarchy growth
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Breakout groups: further
initiatives and funding opportunities
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10.00
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Introduction to the
Lorentz Centre
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Nicolas Payette: a
survey of previous models
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10.30
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Coffee break
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Coffee break
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Coffee break
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Coffee break
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11.00
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Invited Speaker: Katy Börner
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Free discussion period around simulations
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Free discussion period around simulations
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Short presentations on arising issues from the discussions so
far
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Invited Speaker: Paul Thagard
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12.30
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Lunch
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Lunch
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Lunch
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Lunch
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Farewell Lunch
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14.00
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Brief Introduction to the workshop by organisers
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Andre Martins: Theory
Acceptance
Bruce Edmonds: incorporating cognitive dissonance with
social influence
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Free discussion period or relaxation
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Parallel group discussions on a selection of these issues
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Possible extended
discussions
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Poster Presentations of all participants
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15.30
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Coffee break
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Coffee break
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Coffee break
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16.00 –
17.00
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Frank Schweitzer: Beyond
simulating science
Loet Leydesdorff: The
exchanges of expectations in scholarly discourse
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Free discussion period around simulations
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Plenary Reports from Groups and Open Discussion
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17.00 – 17.30
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Plenary reports of
discussions / developments
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Evening
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Welcome drinks
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Social dinner
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Wednesday, 26 February 2014
Submit papers on simulating social processes of scienct to "Social Simulation 2014" in Barcelona, early September
Please consider submitting papers relevant to the simulation of the social processes of science (broadly concieved) to Social Simulation 2014. This conference is in beautiful Barcelona, September 1-5th. If we get enough papers on the topic we will run a special track/session on this.
See you there!
- Their Website is: http://www.essa2014.eu
- Details about submission are at: http://www.essa2014.eu/callforpapers.html
See you there!
Re-Post: Here's why the scientific publishing system can never be "fixed"
A Post on the "Simply Statistics" Blog, at:
http://simplystatistics.org/2014/02/21/heres-why-the-scientific-publishing-system-can-never-be-fixed/Discussing what it thinks would and would not work to improve the long-term veracity of published scientific results.
Tuesday, 25 February 2014
"ROC" curves for science
ROC curves plot true positive rates (TPR) versus false positive rates (FPR) for a given classifying procedure. This post discuses these curves as they might apply to different scientific disciplines.
It suggests that such curves are a more sophisticated way of judging the trade-offs inherent in science, and briefly discusses ways to improve ("lower") these curves, including awareness of "researcher degrees of freedom".
It suggests that such curves are a more sophisticated way of judging the trade-offs inherent in science, and briefly discusses ways to improve ("lower") these curves, including awareness of "researcher degrees of freedom".
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