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 42e5
X-WR-CALNAME:DIAS x DDC: Human social sensing is an untapped resource for 
 computational social science
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DESCRIPTION:[b]Guest lecture by Mirta Galesic\, Professor at the Santa Fe 
 Institute\, External Faculty at the Complexity Science Hub in Vienna\, Au
 stria[/b] [nl] [nl]\n\n[b]Human social sensing is an untapped resource fo
 r computational social science [/b] [nl] [nl]\n\nThe ability to ‘sense’ t
 he social environment and thereby to understand the thoughts and actions 
 of others allows humans to fit into their social worlds\, communicate and
  cooperate\, and learn from others’ experiences. Here we argue that\, thr
 ough the lens of computational social science\, this ability can be used 
 to advance research into human sociality. When strategically selected to 
 represent a specific population of interest\, human social sensors can he
 lp to describe and predict societal trends\, such as elections. [nl] [nl]
 \n\nTraditionally\, election polls have asked for participants’ own votin
 g intentions. In  three U.S. elections (2016\, 2018\, and 2020)\, and thr
 ee European elections with many parties (France 2017\, Netherlands 2017\,
  Sweden 2018)\, we find we could improve predictions by asking participan
 ts how they thought their social circles would vote. In addition\, people
 's reports of how they experience their social worlds can help to build m
 odels of belief dynamics that distinguish between perceived and actual be
 liefs of others in social networks. I will describe an example of such a 
 model (Networks of beliefs) and show how it provides a more nuanced pictu
 re of belief dynamics within and between individual minds. [nl] [nl]\n\n[
 b] About: [/b] [nl] \nMirta Galesic is Professor at the Santa Fe Institut
 e\, External Faculty at the Complexity Science Hub in Vienna\, Austria\, 
 and at the Vermont Complex Systems Center\, UVM\, as well as an Associate
  Researcher at the Harding Center for Risk Literacy at the University of 
 Potsdam\, Germany. [nl] [nl]\n\nShe studies how simple cognitive mechanis
 ms interact with properties of the external environment to produce seemin
 gly complex social phenomena. In one line of research\, she investigates 
 how apparent cognitive biases in social judgments emerge as a product of 
 the interplay of well-adapted minds and the statistical structure of soci
 al environments. In another\, she studies how collective performance depe
 nd on the interaction of group decision strategies and network structures
 . A third line of research investigates opinion dynamics in real-world so
 cieties using cognitively-enriched models from statistical physics. And\,
  she studies how people understand and cope with uncertainty and complexi
 ty inherent in many everyday decisions. [nl] [nl]\n\nThe lecture is prese
 nted by DIAS in collaboration with the Digital Democracy Center and takes
  place in the DIAS Auditorium\, Fioniavej 34. Everybody is welcome and no
  registration is needed. \n\n[nl][nl] \n\n[i] Live stream it at [url=http
 s://youtube.com/@danishias]youtube.com/@danish-ias[/url]  [/i] \n\n[nl][n
 l]
DTEND:20230517T101500Z
DTSTAMP:20261028T093916Z
DTSTART:20230517T091500Z
LOCATION:DIAS\, Fioniavej 34\, 5230\, Odense M
SEQUENCE:0
SUMMARY:DIAS x DDC: Human social sensing is an untapped resource for compu
 tational social science
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