Dear colleagues, Machine learning has attracted massive attention in social sciences and neuroscience, delivering predictions that exceed any insight that a human researcher could obtain with common theory-driven approaches. However, applications are often criticized as being mainly exploratory and inductive, and their utility for theory development is not yet clear. For this reason, we are organizing a *free interdisciplinary online workshop* with the title: *Machine Learning and Theory Development <http://www.ml-theory.com/>* taking place from* 10 - 12 July 2023 *(3 three-hour-sessions), financed by Jacobs Foundation <https://jacobsfoundation.org/> and CIFAR <https://cifar.ca/>. In this workshop renowned experts from various fields will discuss how machine learning methods can be used to advance theory development. Presentations will be followed by panel discussions on similarities and differences, possibilities and limitations of the approaches. The workshop is targeted at applied researchers in any discipline interested in using machine learning methods to advance their field. Our wonderful speakers are: Dr. Ryota Kanai, founder and CEO of Araya Dr. Katharina Dobs, University Giessen Prof. Dr. Blake Richards, McGill University Mayank Agrawal, Princeton University Prof. Dr. Filiz Garip, Princeton University Dr. Anna Ivanova, MIT Prof. Dr. Rebecca Johnson, Georgetown University Prof. Dr. Caspar van Lissa, Tilburg University Prof. Dr. Justin Grimmer, Stanford University The workshop is free of charge but it is still necessary to *register *to give us an idea of who will be attending and to enable us to communicate with you more efficiently. More information, the workshop programme, and the registration link can be found on our website: www.ml-theory.com. We would be honoured to have you join us for another workshop. Best Regards, Alexander Jung, Drew Bailey, Catherine Lebel Julia Moeller, Adeel Razi, Baobao Zhang, Kou Murayama -- *Baobao Zhang* Assistant Professor Political Science | Maxwell School of Citizenship and Public Affairs CIFAR Azrieli Global Scholar https://baobaofzhang.github.io/ Syracuse University ************************************************************** Political Methodology E-Mail List Editors: Dominique Lockett and Gechun Lin <[log in to unmask]> ************************************************************** Send messages to [log in to unmask] To join the list, cancel your subscription, or modify your subscription settings visit: https://www.cambridge.org/core/membership/spm/mailing-list **************************************************************