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« The genetics of zip codes | Main | Stress and birth outcomes »
30 November 2007
Conference on Computational Social Science
IQSS is sponsoring a conference next Friday on the emerging area of computational social science. Below is the announcement:
The Conference on Computational Social Science (part of the Eric M. Mindich Conference series)Friday, December 7, 2007
Center for Government and International Studies South, Tsai Auditorium (Room S010)
1730 Cambridge Street, Cambridge, MAThe development of enormous computational power and the capacity to collect enormous amounts of data has proven transformational in a number of scientific fields. The emergence of a computational social science has been slower than in the sciences. However, the combination of the still exponentially increasing computational power with a massive increase in the capturing of data about human behavior makes the emergence of a field of computational social science desirable, but not inevitable. The creation of a field of computational social science poses enormous challenges, but offers enormous promise to achieve the public good. The hope is that we can produce an understanding of the global network on which many global
problems exist: SARS and infectious disease, global warming, strife due to cultural collisions, and the livability of our cities. That is, can sensing our society lead to a sensible society?To solve these problems will require trading off privacy versus convenience, individual freedom versus societal benefit, and our sense of individuality versus group identity. How will we decide what the sensible society will look like? This conference brings together the wide array of individuals who are working in this emerging research area to discuss how we might address these global challenges, and to evaluate the potential emergence of a field of "computational social science.
Registration is required; more information is available here.
Posted by Mike Kellermann at November 30, 2007 9:42 AM
Comments
I was able to attend about half of this conference. It was fascinating to hear about the kind of data people are collecting these days. Most remarkable may have been Deb Roy's project of recording his son's development from birth via 11 cameras in his house, which have apparently captured 70% of his waking hours. Generally the impression I had was that the scarce resource is not data but meaning -- a point Gary made in part of the Q&A. In other words, the hard part is making meaningful descriptive (or even harder, causal) inferences from the data we collect.
Posted by: Andy Eggers at December 13, 2007 9:54 AM
Yes I was able to understand and view things differently from the conference. It was very refreshing to know that so much different data was being captured and collected.
Posted by: Thomas Editor at January 10, 2008 11:02 PM