PhD SUMMER SCHOOL

Phd Summer School

The TOM Society's Summer School on Computational Organization Science welcomes applications from doctoral students and junior researchers interested in building basic skills in applying computational modeling to organizational sciences. Summer School students participate in a series of synchronous and asynchronous virtual workshops on organizational modeling that culminate with in-person sessions integrated into the TOM Society Annual Meeting.  The Summer School is a great way for students to engage the community of modelers in social sciences.  

Virtual workshops are led by faculty members of the TOM Society. Topics covered include applications of computational modeling for research on strategy and organizations, a brief survey of canonical models (e.g., mutual and coupled learning models; bandit models; NK models; network models, system dynamics models) with hands-on practice sessions; how to bridge modeling work with empirical studies and machine/deep learning algorithms. The format includes lectures, hands-on practices, group exercises, and panel discussion.  

There is no fee for attending the summer school. Participants will be responsible for covering their own accommodation and their travel expenses. 

Applications for the 2025 Summer School is now open.  Please follow this link for applications. For more information, see this document. 

Self-Study Materials & Event archive

Follow the links below to access self-study materials from past summer schools.