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

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 (NSF 20-540) 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.

A mandatory letter of intent (LOI) is required and is due on March 20, 2020. Please contact OSRP if you are planning to submit a LOI for this solicitation.