
NSF Org: |
DMS Division Of Mathematical Sciences |
Recipient: |
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Initial Amendment Date: | March 18, 2024 |
Latest Amendment Date: | March 18, 2024 |
Award Number: | 2341670 |
Award Instrument: | Continuing Grant |
Program Manager: |
Tomek Bartoszynski
tbartosz@nsf.gov (703)292-4885 DMS Division Of Mathematical Sciences MPS Directorate for Mathematical and Physical Sciences |
Start Date: | April 1, 2024 |
End Date: | March 31, 2027 (Estimated) |
Total Intended Award Amount: | $257,499.00 |
Total Awarded Amount to Date: | $85,833.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1 BERNARD BARUCH WAY NEW YORK NY US 10010-5585 (646)312-2211 |
Sponsor Congressional District: |
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Primary Place of Performance: |
ONE BERNARD BARUCH WAY BOX J-1010 NEW YORK NY US 10010-5585 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | INFRASTRUCTURE PROGRAM |
Primary Program Source: |
01002526DB NSF RESEARCH & RELATED ACTIVIT 01002627DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.049 |
ABSTRACT
The Polymath Jr is an online summer program that provides hundreds of college students the opportunity to participate in mathematical research. This highly inclusive program allows each participant to choose their level of involvement. The program presents a wide variety of mathematical research projects. Each project is mentored by a professor with additional support by graduate students. The program supports many students who otherwise have no opportunity to explore their mathematical potential. The participants learn how mathematical research is conducted, and many also publish papers in research journals. Many continue to graduate school and to mathematical careers.
The Polymath Jr program will include research projects in number theory, combinatorics, topology, algebra, probability, complex analysis, machine learning, math education, and much more. Different projects also have different styles of research work, allowing each student to join a project that is a good fit for them. We focus on problems that consist of separate parts at different levels of difficulty. The staggered projects allow supporting groups of students with varied mathematical backgrounds. The program also includes a component for training graduate students to mentor undergraduate research projects and run research groups.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Please report errors in award information by writing to: awardsearch@nsf.gov.