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

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