HBS Summer School in Computational Organization Science: Call for Participants
We are pleased to announce the 3rd Summer School in Computational Organization Science at Harvard Business School (HBS). The format is hybrid: participants will have virtual sessions on July 17-28 and in-person sessions at HBS on August 1-3, right before the Academy of Management annual meeting in Boston.
The Summer School welcomes applications from doctoral students and junior researchers interested in building basic skills in applying computational modeling to organizational sciences. You are encouraged to apply regardless of your level of familiarity with modeling; no prior experience will be presumed in the topics covered. The summer school also offers opportunities to engage the community of modelers in social sciences.
The workshop will be taught by members of the Theoretical Organizational Models (TOM) Society, including Anjali Bhatt (HBS), Felipe Csaszar (Michigan), Julien Clement (Stanford), Jerker Denrell (Warwick), Christina Fang (NYU), Carolyn Fu (HBS), Scott Ganz (Georgetown), Gael Le Mens (UPF), Helge Klapper (Rotterdam), Thorbjørn Knudsen (Frankfurt), Balázs Kovács (Yale), Chengwei Liu (ESMT Berlin), Hart Posen (Wisconsin), Phanish Puranam (INSEAD), Hazhir Rahmandad (MIT), Marlo Raveendran (UC Riverside), Arkadiy Sakhartov (Illinois), and Maciej Workiewicz (ESSEC). The workshop will also include several guest speakers from HBS.
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, reinforcement learning, chance 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 to and from Boston.
To ensure successful application to the workshop, please:
- complete the application form via this link (you need to have a Google account): https://forms.gle/dMEaH6TwiKG9vLXt7
- upload your CV (part of the application form)
- upload a one-page document describing your current research activities and how modelling could contribute to your research (part of the application form)
- provide the name of a faculty member who will serve as your referee (part of the application form)
Please submit your application by January 31 2023. Admitted candidates will be notified by end February 2023. For any specific inquiry or clarification, please contact Carolyn Fu (cfu@hbs.edu)
Please kindly extend this invitation to your network of doctoral students and junior researchers who may be interested in this program. The program of the inaugural summer school in 2018 at INSEAD can be found here.
Sending on behalf of the Organizing committee of the 2023 Computational Organization Science Summer School
Anjali Bhatt (HBS)
Carolyn Fu (HBS)
Chengwei Liu (ESMT Berlin)
Hazhir Rahmandad (MIT)
Marlo Raveendran (UC Riverside)
Scott Ganz (Georgetown)
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Carolyn Fu
Harvard Business School
Cambridge MA
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