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SUMMARY:The First Chapel Hill–Copenhagen Conference on Macroeconomics and Deep Learning
UID:https://bankinglibrary.com/the-first-chapel-hill-copenhagen-conference-on-macroeconomics-and-deep-learning-2/
LOCATION:Chapel Hill, North Carolina
DTSTAMP:20260430Z
DTSTART:20260430Z
DTEND:20260430Z
DESCRIPTION:CfP Deadline:
April 30, 2026
Conference Event:
September 3-4, 2026
Event Location:
North Carolina, US
Organizer(s):
Marlon Azinovic-Yang (UNC Chapel Hill)Jeppe Druedahl (University of
Copenhagen)Willian Jungerman (UNC Chapel Hill)Stanislav Rabinovich (UNC
Chapel Hill)
Description:
The First Chapel Hill–Copenhagen Conference on Macroeconomics and Deep
Learning brings together researchers developing and using modern
machine-learning tools to solve and estimate quantitative macroeconomic
models. We welcome both methodological contributions and substantive
applications in macroeconomics and macro-finance.
Join us for two exciting days of presentations, discussions, and
collaboration on computational methods for quantitative macroeconomics.
Machine learning methods have contributed to recent progress in solving
complex economic models that were previously intractable. We especially
welcome submissions focused on deep learning for solution methods for
macroeconomic and macro-finance models, including but not limited to
heterogeneous agent models, dynamic programming, and structural estimation.
Submission:
Link(s):
The First Chapel Hill–Copenhagen Conference on Macroeconomics and Deep
Learning
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