Overview
Explore a thought-provoking lecture on democracy as a complex system, featuring insights from Tina Eliassi-Rad, Professor of Computer Science at Northeastern University. Delve into the challenges facing modern democracies, including the impact of digital communications, economic forces, and algorithms on societal dynamics. Examine how complex systems science can shed light on threats to democracy and potential solutions. Discover the relationships between technology and social change, and learn about research on factors that stabilize or disrupt democratic processes. Gain valuable perspectives on the future of democracy in an era of polarization, rapid change, and epistemic uncertainty.
Syllabus
Intro
Tinas Background
What Science Can Do for Democracy
Machine Learning and Democracy
Democracy as an Unfinished Project
Policy Recommendations
Natural Limits
Counter Mobilization
Problems with Data Science
Algorithms that affect lives
Transparency
Taught by
Santa Fe Institute