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NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)

Status: Archived

Archived funding opportunity

This document has been archived. See NSF 21-561 for the latest version.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.


The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Each collaboration will conduct training through research involvement of recent doctoral degree recipients, graduate students, and/or undergraduate students from across this multi-disciplinary spectrum. Annual meetings of the Principal Investigators (“PIs”) and other principal researchers involved in the collaborations will be held at the Simons Foundation in New York City. This program complements NSF's National Artificial Intelligence Research Institutes program by supporting collaborative research focused on the mathematical and scientific foundations of Deep Learning through a different modality and at a different scale.

Program contacts

Important Note: For timely responses to your questions, please direct your email messages to the Program Directors on the MoDL Working Group at modl@nsf.gov

Huixia Wang
huiwang@nsf.gov (703) 292-2279
Radhakisan S. Baheti
rbaheti@nsf.gov (703) 292-8339
Funda Ergun
fergun@nsf.gov (703) 292-2216
Tracy Kimbrel
tkimbrel@nsf.gov (703) 292-7924 CISE/CCF
Anthony Kuh
akuh@nsf.gov (703) 292-2210 ENG/ECCS
Elizabeth Roy
eroy@simonsfoundation.org (212) 524-6966
Christopher W. Stark
cstark@nsf.gov (703) 292-4869 MPS/DMS

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