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DTEND:20230627T120000Z
UID:4fb43b4b5db733dd85da65568efba547-474
DTSTAMP:19700101T120016Z
DESCRIPTION:Data-driven Social Informatics
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/474/data-driven-social-informatics/
SUMMARY:Data-driven social informatics unites models derived from social science with data-driven approaches in order to model and predict population behavior patterns. It can be used to advance our understanding of human behavior, guide public policy decisions, and improve user experience with social media platforms. In this talk, I will describe work done at UCFs Intelligent Agents Lab (http://ial.eecs.ucf.edu/) in which we use a combination of agent-based modeling, natural language processing, and machine-learning to model human social systems for the DARPA challenge, ASIST (AI for Successful Teams). Our aim is to create multi-scale models for large-scale social media platforms, medium scale software engineering teams, and small scale human-agent interactions.


Microsoft Teams link:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGE3NDg5NzktMWQ0Zi00MzFmLTg5OTgtMTMyYWM4MWQyYjI2%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%227c84465e-c38b-4d7a-9a9d-ff0dfa3638b3%22%7d


We are grateful to the Kirani family for generously supporting the theory seminar series


Hosts: Rachana Gusain, Rahul Madhavan, Rameesh Paul, KVN Sreenivas
DTSTART:20230627T120000Z
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