1. ARO MURI: Evolution of Cultural Norms and Dynamics of Socio-Political Change Ali Jadbabaie University of Pennsylvania W911NF-12-1-0509

2. The Team Ali Jadbabaie (PI) Michael Kearns Daron Acemoglu Asu Ozdaglar Munzer Dahleh Fotini Christia Matt Jackson Jure Leskovec Jeff Shamma University of Pennsylvania Stanford University Georgia Institute of Technology Massachusetts Institute of Technology Jon Kleinberg Larry Blume Cornell University

3. Motivation and Overview Goal: create a research program that leads to understanding of social norms, political change, cultural dynamics, societal stability with a multi-dicsiplinary lens involving network science, systems theory, dynamics, Economics, Political Economy, Computer Science Many of the central questions involve interactions among individuals and groups with different identities – Study of collective phenomena and collective decision making in networked setting with domain specific knowledge – N eed more quantitative approaches, beyond descriptive Need theory, principled modeling, data analysis, lab experiments, and field surveys Need to educate a new breed of computational social scientists and engineers

4. Why us? Our team literally wrote the book on the topic Meme tracker

5. How Does it all come together? Network Science Economics/ Political Economy Systems Theory Computer Science Experiments/ Field studies

6. Jackson [S1,S2] Social and economic networks, evolution of social norms Theory Data Analysis Modeling Lab Experiments Real-World Surveys First principles Rigorous math Algorithms Proofs Analysis of social network data computationa l Social science Stylized, Controlled Clean, real-world data Extremely challenging! Randomized, large scale studies Jadbabaie [S2,M2] Collective behavior, social aggregation, dynamics of cascades Acemoglu[S1,P2] Dynamics of sociopolitical change, learning Leskovec [M2,P2] Social networks data and experiments Shamma [C1,C2] Learning in games, robustness, evolutionary dynamics Behavioral Experiments, contagion Kearns [M2,P4] Blume [S3, M1] Econometrics of social networks, Emergence of trust Christia [P2,P3] Field studies, large randomized surveys from conflict zones Dahleh [C1,C2] Control, Decision making, Global networked games Economics Political Science Empirical data How to deal with “no physics” Kleinberg [M1,P2] Networks, games algorithms, Modeling cascades Ozdaglar [M2,M3 ] Game Theory, Networks, Cascades

7. Agenda for the day 09:00-09:30 Modeling and analysis of cascades and contagion Jon Kleinberg, Cornell [M2] 09:30-10:00 Evolutionary games and identification and modeling of social interaction Larry Blume, Cornell [S3,M1] 10:00-10:30 Networked global games Munzer Dahleh, MIT [ C2] 10:30-11:00 Coffee Break 11:00-11:30 Evolution of Social Norms Matt Jackson, Stanford [S1] 11:30-12:00 Field Experiments: Role of post-conflict development Fotini Christia, MIT [P2] 12:00-12:30 Empirical study of Social Interactions: Twitter data Jure Leskovec, Stanford [P3] 12:30-1:30 Lunch (served in Levine 307) 1:30- 2:00 Political Change, Societal stability and emergence of democracies, Daron Acemoglu, MIT [P1] 2:00-2:30 Fluctuations, Systemic risk and cascades in networks Asu Ozdaglar, MIT [M3] 2:30-3:00 Competitive Contagion and Behavioral experiments Michael Kearns, Penn [P4,M2] 3:00-3:30 Coffee Break 3:30-04:00 Influencing Social Evolutionary Dynamics Jeff Shamma, GeorgiaTech [C1] 4:00-4:30 Social Learning and belief aggregation Ali Jadbabaie, Penn [S2] 04:30-5:30 Discussion and Feedback