–
Check In
–
Opening Remarks
–
Learning from Viral Content
Kevin He (Penn)
–
Social Connectedness and Information Markets
Rachel Kranton (Duke)
–
Break
–
Bandit Social Learning
Alex Slivkins (Microsoft Research - NYC)
–
Learning through the Grapevine
Suraj Malladi (Cornell)
–
Hangout
–
Please Join Us on Gather.town for the Virtual Sessions
–
Protecting Privacy in New Data Markets
Asu Ozdaglar (MIT)
–
Games on Endogenous Networks
Evan Sadler (Columbia)
–
Virtual Break
–
Long Ties - Formation, Social Contagion, & Economic Outcomes
Dean Eckles (MIT)
–
Lunch
–
Market Power and Tax Interventions: A Principal Components Approach
Ben Golub (Northwestern)
–
Persuasion in Networks: Public Signals and Cores
Ozan Candogan (U Chicago)
–
Break
–
Learning in Repeated Interactions on Networks
Omer Tamuz (Caltech)
–
Reception (5 - 6 PM) & Poster Session
–
Coffee and Check In
–
Experimental and Observational Studies in the Presence of Stochastic Networks
Alex Volfovsky (Duke)
–
Too Much Data: Externalities and Inefficiencies in Data Markets
Azarakhsh Malekian (U. Toronto)
–
Break
–
Experimentation on Networks
Moritz Meyer-ter-Vehn (UCLA)
–
Lunch
–
Social Learning and Sample Herding in Networks with Homophily
Matt Jackson (Stanford)
–
Organizing Modular Production
Bryony Reich (Northwestern)
–
Break
–
(Relaxing) Common Belief for Social Networks
Grant Schoenbeck (U. Michigan)
–
Aggregative Efficiency of Bayesian Learning in Networks
Krishna Dasaratha (Boston Univerity )
–
Hangout