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Organizers:
David Sabin-Miller (University of Michigan)
Description:
The collective behavior of many humans interacting with each other and the modern information environment results in powerful emergent dynamics and empirical patterns; studying these complex systems with quantitative tools can yield valuable insights on societal dynamics which control many aspects of our daily lives and political futures. This mini-symposium will share recent work analyzing how modern influence ecosystems affect social and political dynamics, utilizing techniques from network science, epidemiology, and data-driven dynamical modeling.
Diversity Statement:
This minisymposium brings together diverse researchers using mathematical tools to address societal ills and analyze modern systems of power. These patterns, left unchecked, have led to alarming regressive ideological movements and represent one of the greatest threats to a diverse and thriving future for all. As such, this highly interdisciplinary burgeoning field represents a much-needed stimulus towards understanding humanity and---hopefully---ameliorating our worst collective tendencies.
Heather Zinn Brooks (Harvey Mudd College)
"An opinion reproduction number for infodemics in a bounded-confidence content-spreading process on networks"
Olivia Chu (Bryn Mawr College)
"Adaptive network models and the dynamics of political polarization and social activism"
Alexandria Volkening (Purdue University)
"Forecasting U.S. elections with compartmental models of infection"
David Sabin-Miller (University of Michigan)
"Data-driven modeling of the US information-ideological ecosystem"
