This program has been archived.
Division of Mathematical Sciences
NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)
|Huixia Wangfirstname.lastname@example.org||(703) 292-2279||MPS/DMS|
|Radhakisan S. Bahetiemail@example.com||(703) 292-8339||ENG/ECCS|
|Funda Ergunfirstname.lastname@example.org||(703) 292-2216||CISE/CCF|
|Tracy Kimbrelemail@example.com||(703) 292-7924||CISE/CCF|
|Anthony Kuhfirstname.lastname@example.org||(703) 292-2210||ENG/ECCS|
|Elizabeth Royemail@example.com||(212) 524-6966||Simons Foundation|
|Christopher W. Starkfirstname.lastname@example.org||(703) 292-4869||MPS/DMS|
Important Note: For timely responses to your questions, please direct your email messages to the Program Directors on the MoDL Working Group at email@example.com
PROGRAM GUIDELINESSolicitation 20-540
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.
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.
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)