Networks and cognition workshop
June 1-2, 2023
PSH/PNI A32 Lecture hall
The relationship between individual cognition and social networks has taken on new urgency across multiple scientific communities.
On one hand, as the cognitive and social sciences continue to be revolutionized by big data and large-scale computational models, psychologists are increasingly grappling with the complexity of real-world network topologies and the emergent dynamics of collectives.
At the same time, as engineers and computer scientists develop increasingly sophisticated models and algorithms for scalable multi-agent systems, they must grapple with the complexity of individual behavior in regimes where simplifying assumptions break down.
This workshop aims to bring together an interdisciplinary group of researchers to bridge this gap.
Organized by: Raja Marjieh, Matt Hardy, Xuechunzi Bai, Robert Hawkins, Tom Griffiths
Sponsored by: The Langfeld Fund of the Psychology Department at Princeton University
June 1
8:50-12:00 EST
Tom Griffiths
Psychology & Computer Science
Princeton
june 1
13:00-16:30 EST
Javier Garcia-Bernardo
Social Data Science
Utrecht
june 2
8:50-12:00 EST
Tom Griffiths
Psychology & Computer Science
Princeton
june 2
13:00-16:30 EST
Carolyn Parkinson
Psychology
UCLA
Zohar Neu
Engineering Mathematics
U. Bristol
Wataru Toyokawa
Psychology
U. Konstanz
Sarah Dean
Computer Science
Cornell
Russell Golman
Social and Decision Sciences
Carnegie Mellon
Naomi Leonard
Mechanical and Aerospace Engineering
Princeton
Ofer Tchernichovski
Psychology
CUNY Hunter College
Jessica Flack
Santa Fe Institute
Matt Weinberg
Computer Science
Princeton
Amit Goldenberg
Harvard Business School
Natalia Velez
Psychology
Princeton
Bill Thompson
Psychology
UC Berkeley
Alin Coman
Psychology
Princeton
James Evans
Sociology
U. Chicago
Xuechunzi Bai
Psychology
Princeton
Manuel Anglada-Tort
Music
Oxford
Raja Marjieh
Psychology
Princeton
Nori Jacoby
Max Planck Instituite
Yuan Chang Leong
Psychology
U. Chicago
Robert Hawkins
Psychology
UW Madison
Discussion
Collective Information Processing in Networks:
From Humans to Artificial Neural Networks
Opening Remarks
june 1
8:50-12:00 EST
Fast and Flexible Collective Behavior of
Nonlinear Opinion Dynamics over Networks
Can Emotion Regulation Interventions Spread?
Hourglass Emergence + Collective Computation of the Macroscale
A Crash Course on Algorithmic Mechanism Design
Opinion Dynamics From Social Networks
Self-organized Collective Intelligence with Consistently
Risk Averse Individuals
june 1
13:00-16:30 EST
Collective Intelligence and Creativity in
Distributed Information Systems
Studying Large-Scale Collaborations in Online Communities
Bias Amplification in Experimental Social Networks is Reduced '
by Resampling
Bridging Between Micro-Level Cognitive Phenomena and
Large-Scale Social Outcomes: Advances and Applications
Opening Remarks
User Dynamics in Machine Learning Systems
june 2
8:50-12:00 EST
Objective Subjectivity and the Geometry of Perspective
Studying Cultural Dynamics at Scale through
Human Singing Experiments: Variation, Fitness, and Inheritance
Probing the Interaction of Selection and Topology in
Simulated Singing Networks
Integrating Human Decisions in Computer Algorithms:
Sampling, Optimization, and Simulated Cultural Evolution
The brain in the social world:
Linking real-world social networks to individual cognition and behavior
Acceptable Discourse:
Social Norms of Beliefs and Opinions
june 2
13:00-16:30 EST
Exploring Just Enough?
How Implicit Search Cost Can Limit Diversity
General Discussion
Led by Tom Griffiths
16:00-16:30
Social Inference as a Bridge from Partner-specific
Coordination to Collective Social Convention
Polarized Minds on Polarizing Media:
Divergent Neural and Semantic Representations of Political Content
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