Conference on Network Science and Economics
Hosted by
The conference was held in-person at the University of Chicago’s Booth School of Business on March 18-19, 2022.
The first day, Friday, March 18, 2022 was a single-track special theme session on (Mis)information in networks. The organizers especially encouraged submissions within this theme. The remaining days ran with parallel sessions on all topics in the series’ broader theme of networks in economics, which included:
- learning in networks
- selling information
- interfirm networks
- diffusion
- strategic marketing and influence maximization
- peer effects
- homophily
- network centrality
- networks in international trade
- networks of alliances and conflict
- financial networks
- models of network formation
- games on networks
- exchange and intermediation
- econometrics and statistics of networks
The fully detailed agenda including session locations can be found here.
The conference was sponsored by the National Science Foundation, with additional support from the Booth School of Business and the Becker Friedman Institute, and was part of an NSF-sponsored series, Network Science in Economics. It aimed to foster the development and dissemination of cutting edge research in network theory.
Agenda
Friday, March 18, 2022
Opening remarks
A Model of Online Misinformation; Naive and Bayesian Learning with Misinformation Policies
In Platforms We Trust: Misinformation on Social Networks In the Presence of Social Mistrust
Coffee Break
Subscription, Verification, and Disclosure in News Subscription Services
False Information from Near and Far
Lunch Break
Organizing Modular Production
An Equilibrium Model of Learning on Networks
Coffee Break
Learning in Networks with Idiosyncratic Agents
Optimal Inspection of Rumors in Networks
Conference Adjourns
Saturday, March 19, 2022
Session: Networked Markets
Session: Network Games 1
Break
Session: Social Networks 1
Session: Network Games 2
Lunch
Session: Social Networks 2
Session: Learning and Information in Networks 1
Break
Session: Contagion in Networked Systems
Session: Learning and Information in Networks 2
Break
Session: Production Networks
Session: Social Networks 3