Connectionists: Machine Learning and Theory Development: An online workshop
Adeel Razi
adeel.razi at gmail.com
Tue May 16 07:48:11 EDT 2023
Dear colleagues,
Machine learning has attracted huge attention in social sciences and
neuroscience, delivering predictions that exceed any insight that a human
researcher would be able to 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),
sponsored 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 for 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
Dr. Blake Richards, McGill University Dr. Mayank Agrawal (Princeton
University)
Dr. Filiz Garip (Princeton University)
Dr. Anna Ivanova (MIT)
Dr. Rebecca Johnson, Georgetown University
Dr. Caspar van Lissa, Tilburg University
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
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