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C3.ai Digital Transformation Institute Workshop

Event Type
Conference/Workshop
Sponsor
C3.ai Digital Transformation Institute
Virtual
wifi event
Date
Sep 8, 2020 - Sep 11, 2020   All Day
Views
58
Originating Calendar
NCSA-related events

There will be a C3.ai Digital Transformation Institute workshop September 8–11 noon to 4:00 p.m. each day. The topic of the workshop is "Epidemics, Opinion and (Mis)Information: The Analytic Foundations of Dynamics over Networks." You can attend via Zoom or watch the YouTube livestream.

Epidemics spread through networks of human contact. Such networks have been studied for close to a century, and understanding them has never been more important as we face the COVID-19 pandemic.

Opinions are formed similarly through social interactions, in person or through the print and broadcast media, and increasingly over social media, where "information dynamics" can quickly influence perceptions and shape behavior. It has become increasingly urgent to understand how the spread of information through social media platforms, driven by bots, bad actors, and unsuspecting users, are creating networks that can result in extreme polarization, information echo chambers, and the proliferation of "fake news."

Distributed engineered systems achieve desired performance through sharing information over component-connected communication networks. These networks have enabled the development of distributed databases, distributed computational frameworks, and more generally distributed autonomous agents.

These three types of networks, though different physically, share "dynamical" similarities at their core. At the very least, scientific studies about them have demonstrated similar models and analytic tools. This C3.ai DTI Workshop will bring together experts from a range of disciplines to help build common foundations about such networks as well as decipher their differences.

Speakers

  • Noah Friedkin (University of California, Santa Barbara)
  • Matthew O. Jackson (Stanford University)
  • Jon Kleinberg (Cornell University)
  • Naomi Ehrich Leonard (Princeton University)
  • Laurent Massoulie (Inria, Microsoft Research)
  • Elchanan Mossel (Massachusetts Institute of Technology)
  • H. Vincent Poor (Princeton University)
  • Weina Wang (Carnegie Mellon University)
  • Tauhid Zaman (Yale University)
link for robots only