The Economics of Networks

Program

Graph Limits and Processes on Networks: From Epidemics to Misinformation

Location

All events take place in the Calvin Lab auditorium.

Date

Tuesday, Nov. 29 – Thursday, Dec. 1, 2022

Back to calendar

1 – 1:25 p.m.

Check In

1:25 – 1:30 p.m.

Opening Remarks

1:30 – 2:15 p.m.

Learning from Viral Content

Kevin He (Penn)

2:15 – 3 p.m.

Social Connectedness and Information Markets

Rachel Kranton (Duke)

3 – 3:30 p.m.

Break

3:30 – 4:15 p.m.

Bandit Social Learning

Alex Slivkins (Microsoft Research - NYC)

4:15 – 5 p.m.

Learning through the Grapevine

Suraj Malladi (Cornell)

5 – 5:30 p.m.

Hangout

9 – 9:15 a.m.

Please Join Us on Gather.town for the Virtual Sessions

9:15 – 10 a.m.

Protecting Privacy in New Data Markets

Asu Ozdaglar (MIT)

10 – 10:45 a.m.

Games on Endogenous Networks

Evan Sadler (Columbia)

10:45 – 11:15 a.m.

Virtual Break

11:15 a.m. – 12 p.m.

Long Ties - Formation, Social Contagion, & Economic Outcomes

Dean Eckles (MIT)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Market Power and Tax Interventions: A Principal Components Approach

Ben Golub (Northwestern)

2:45 – 3:30 p.m.

Persuasion in Networks: Public Signals and Cores

Ozan Candogan (U Chicago)

3:30 – 4 p.m.

Break

4 – 4:45 p.m.

Learning in Repeated Interactions on Networks

Omer Tamuz (Caltech)

5 – 7 p.m.

Reception (5 - 6 PM) & Poster Session

8:45 – 9:15 a.m.

Coffee and Check In

9:15 – 10 a.m.

Experimental and Observational Studies in the Presence of Stochastic Networks

Alex Volfovsky (Duke)

10 – 10:45 a.m.

Too Much Data: Externalities and Inefficiencies in Data Markets

Azarakhsh Malekian (U. Toronto)

10:45 – 11:15 a.m.

Break

11:15 a.m. – 12 p.m.

Experimentation on Networks

Moritz Meyer-ter-Vehn (UCLA)

12 – 1:30 p.m.

Lunch

1:30 – 2:15 p.m.

Social Learning and Sample Herding in Networks with Homophily

Matt Jackson (Stanford)

2:15 – 3 p.m.

Organizing Modular Production

Bryony Reich (Northwestern)

3 – 3:30 p.m.

Break

3:30 – 4:15 p.m.

(Relaxing) Common Belief for Social Networks

Grant Schoenbeck (U. Michigan)

4:15 – 5 p.m.

Aggregative Efficiency of Bayesian Learning in Networks

Krishna Dasaratha (Boston Univerity )

5 – 5:30 p.m.

Hangout