[CS] Fwd: [CSSI-events] CSSI Lunch Seminar Friday September 9, Chris Danforth
Lee Spector
lspector at hampshire.edu
Sun Sep 4 10:47:21 EDT 2016
This talk, at UMass on Friday, looks pretty interesting, with possible connections to work in social psychology among other areas.
The UMass Computational Social Science Institute tends to have talks along these lines pretty regularly, and there are instructions for getting on their mailing list at the end of the announcement.
-Lee
> Begin forwarded message:
>
> From: "James Kitts" <jkitts at soc.umass.edu>
> Subject: [CSSI-events] CSSI Lunch Seminar Friday September 9, Chris Danforth
> Date: September 3, 2016 at 5:26:13 AM EDT
> To: <cssi-events at cssi.umass.edu>
>
> Please forward this to any faculty, grad students, labs, or local lists interested in computational social science at UMass.
>
> The UMass Computational Social Science Institute invites you to the first meeting of our weekly CSSI seminar, in its sixth year:
>
> Chris Danforth
> University of Vermont, Department of Mathematics & Statistics
> Friday, September 9, 2016 • 12:30 p.m.-2:00 p.m. (lunch served at noon)
> Computer Science Building, Room 150/151
>
> Title: Limits to Socio-Cultural Inference from Tweets & Books
>
> Abstract: Scientific analysis of large-scale text has begun to reveal remarkable insights into human behavior. Indeed, there is growing evidence that our society’s daily online interactions can be appropriately aggregated into digital measures of physical mobility, emotional health, and linguistic evolution. However, the socio-technical instruments of tomorrow will be limited by the quality of the data they are fed, as well as human awareness of their existence. This talk will describe our ongoing effort to quantify the population-scale sentiment associated with any topic using Twitter, including a public health application where we found 80% of opinions to be expressed by non-human actors. We will also describe our recent analysis of the Google Books corpus, and point to the need to fully characterize its behavior before drawing broad conclusions about cultural dynamics.
>
> Bio: Chris Danforth is the Flint Professor of Mathematical, Natural, and Technical Sciences at the University of Vermont. With colleague Peter Dodds, he co-directs the Computational Story Lab, a group of applied mathematicians and data scientists at the undergraduate, masters, PhD, and postdoctoral level working on large-scale, systems problems in many fields including sociology, nonlinear dynamics, networks, ecology, and physics. The group has built several socio-technical instruments including the Hedonometer and the Lexicocalorimeter. Danforth's formal background is in nonlinear dynamics applied to weather and climate prediction, and he is a member of the Mathematics & Climate Research Network.
> ---------------------------------------
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--
Lee Spector, Professor of Computer Science
Director, Institute for Computational Intelligence
Hampshire College, Amherst, Massachusetts, USA
lspector at hampshire.edu, http://hampshire.edu/lspector/, 413-559-5352
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