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Interacting Minds

In 2020, we planned on focusing on understanding how minds interact and connect with each other. Unfortunately, we had to cancel this event due to the Covid19 Global Pandemic. We were finally able to continue with MIND in 2023 with the same theme, but with a new set of faculty and applicants.

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. We focused on discussing computational techniques that help us understand how we infer the beliefs, goals, intentions, and feelings of other agents, and how this information is communicated to others as well as other topics including communication, mentalizing, synchronization, and social networks.

Our tutorials can be found in our online jupyter-book tutorials.mindsummerschool.com.


Caroline Charpentier, Chelsey Pan, Chris Welker, Dae Houlihan, Danika Geisler, Eleanor Collier, Elyssa Barrick, Emma Templeton, Emre Yavuz, Guangyao Qi, Haroon Popal, Hayoung Song, Helen Schmidt, Jean Luo, Katherine Soderberg, Kathryn McNaughton, Kieran McVeigh, Lindsey Tepfer, Marta Vigier, Megan Hillis, Michael Gachomba, Miriam Greidanus Romaneli, Nina Rouhani, Nir Jacoby, Paxton Fitzpatrick, Sue Lim, Sushmita Sadhukha, Tessa Rusch, Troy Dildine, Wasita Mahaphanit, William Mitchell, Xiaobei Zhang, Yi-Fei Hu (Jerry), Yinqi Huang, Zhaoning Li, Zizhuang Miao


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


How can we study interactions

by: Luke Chang

Synchronization to movie viewing

by: Luke Chang

Seeing social: Shared and individual thresholds for social signal detection

by: Emily Finn

Finding the right words for the job: The dual coordination hypothesis

by: Robert Hawkins

Modeling theory of mind

by: Robert Hawkins

Representing and remembering other people through their relationships

by: Eshin Jolly

Models of text and language

by: Jeremy Manning

Coding with friends

by: Jeremy Manning

The role of rest in social life

by: Meghan Meyer

Contextual reinforcement-learning and social learning

by: Matt Nassar

Modeling social behavior with reinforcement learning

by: Matt Nassar

Interactive theory of mind relies on representations of knowledge, not beliefs

by: Jonathan Phillips

Interacting minds: Hyperscanning

by: Manish Saggar

Topological Data Analysis

by: Manish Saggar

Conceptual alignment in neurotypical and autistic minds

by: Arjen Stolk

Introduction to artificial neural networks

by: Mark Thornton

Revealing hidden biases in face representation via deceptively simple tasks

by: Stefan Uddenberg

Generative models of faces

by: Stefan Uddenberg

Do rats and mice have minds?

by: Matt van der Meer

The emerging science of interacting minds

by: Thalia Wheatley