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Interacting Minds

The bulk of research in psychology and neuroscience has focused on studying processes within single individuals. However, outside of the laboratory, individuals rarely operate independently but rather in the context of a complex constellation of social relationships. Social interactions form a pervasive and critical aspect of daily life, in settings such as professional and romantic relationships, family interactions, and everyday transactions such as commuting to work and buying groceries. Yet, these settings have received surprisingly little empirical study. This year’s 2023 MIND Computational Summer School will take place between 8/6/23-8/16/23 and will focus on understanding how minds interact and connect with each other. We will introduce computational techniques to help us understand how we infer the beliefs, goals, intentions, and feelings of other agents, and how this information is communicated to others. Increasingly, it is becoming possible to study these processes in non-human animals, resulting in a productive synergy between researchers working with human and non-human subjects. We will cover topics such as communication, mentalizing, synchronization, social networks, and more.

Faculty

Luke Chang

Dartmouth College

Emily Finn

Dartmouth College

Robert Hawkins

University of Wisconsin Madison

Eshin jolly

Dartmouth College

Jeremy Manning

Dartmouth College

Meghan Meyer

Columbia University

Matt Nassar

Brown University

Kate Nautiyal

Dartmouth College

Jonathan Phillips

Dartmouth College

Manish Saggar

Stanford University

Arjen Stolk

Dartmouth College

Mark Thornton

Dartmouth College

Stefan Uddenberg

University of Illinois Urbana Champaign

Matthijs van der Meer

Dartmouth College

Thalia Wheatley

Dartmouth College

MIND Summer School Schedule