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.

Participants

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

Faculty

                
Luke ChangDartmouth College

Emily FinnDartmouth College

Robert HawkinsUniversity of Wisconsin Madison

Eshin jollyDartmouth College

Jeremy ManningDartmouth College

Meghan MeyerColumbia University

Matt NassarBrown University

Kate NautiyalDartmouth College

Jonathan PhillipsDartmouth College

Manish SaggarStanford University

Arjen StolkDartmouth College

Mark ThorntonDartmouth College

Stefan UddenbergUniversity of Illinois Urbana Champaign

Matthijs van der MeerDartmouth College

Thalia WheatleyDartmouth College

Tutorials

                
How can we study interactionsby: Luke Chang

Synchronization to movie viewingby: Luke Chang

Seeing social: Shared and individual thresholds for social signal detectionby: Emily Finn

Finding the right words for the job: The dual coordination hypothesisby: Robert Hawkins

Modeling theory of mindby: Robert Hawkins

Representing and remembering other people through their relationshipsby: Eshin Jolly

Models of text and languageby: Jeremy Manning

Coding with friendsby: Jeremy Manning

The role of rest in social lifeby: Meghan Meyer

Contextual reinforcement-learning and social learningby: Matt Nassar

Modeling social behavior with reinforcement learningby: Matt Nassar

 Interactive theory of mind relies on representations of knowledge, not beliefsby: Jonathan Phillips

Interacting minds: Hyperscanningby: Manish Saggar

Topological Data Analysisby: Manish Saggar

Conceptual alignment in neurotypical and autistic mindsby: Arjen Stolk

Introduction to artificial neural networksby: Mark Thornton

Revealing hidden biases in face representation via deceptively simple tasksby: Stefan Uddenberg

Generative models of facesby: Stefan Uddenberg

Do rats and mice have minds?by: Matt van der Meer

The emerging science of interacting mindsby: Thalia Wheatley