| NSF Org: |
DMS Division Of Mathematical Sciences |
| Recipient: |
|
| Initial Amendment Date: | March 10, 2023 |
| Latest Amendment Date: | March 10, 2023 |
| Award Number: | 2243991 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Jeremy Tyson
jtyson@nsf.gov (703)292-7210 DMS Division Of Mathematical Sciences MPS Direct For Mathematical & Physical Scien |
| Start Date: | March 15, 2023 |
| End Date: | February 28, 2026 (Estimated) |
| Total Intended Award Amount: | $385,387.00 |
| Total Awarded Amount to Date: | $385,387.00 |
| Funds Obligated to Date: |
|
| History of Investigator: |
|
| Recipient Sponsored Research Office: |
2600 W NEAL ST COMMERCE TX US 75428-4311 (903)886-5964 |
| Sponsor Congressional District: |
|
| Primary Place of Performance: |
2600 W NEAL ST COMMERCE TX US 75428-4311 |
| Primary Place of Performance Congressional District: |
|
| Unique Entity Identifier (UEI): |
|
| Parent UEI: |
|
| NSF Program(s): | RSCH EXPER FOR UNDERGRAD SITES |
| Primary Program Source: |
|
| Program Reference Code(s): |
|
| Program Element Code(s): |
|
| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.049 |
ABSTRACT
The REU Program in Theoretical and Application Driven Mathematics at the Texas A&M University-Commerce recruits twelve undergraduate students per year into an eight-week summer research experience designed to develop a diverse, globally competitive STEM workforce. Student participants investigate innovative, application-driven research projects in mathematics, working in a collaborative research environment under the supervision of faculty mentors. The program will motivate students to pursue graduate studies in mathematics and will prepare them to be successful future competitors in the job market. It aims to increase diversity, equity, and inclusion in the mathematical sciences by enrolling and encouraging participants from underrepresented groups, including minorities, first-generation college students, women, and students from regions with limited resources and opportunities in research.
This REU program employs novel concepts and results in both theoretical and applied mathematics to provide research opportunities for students with various backgrounds in mathematics. Some projects use data-driven tasks to model real-life applications. Others employ computer algebra systems to simulate sophisticated mathematical concepts and to illuminate theoretical mathematics results. In addition to ample time spent conducting research and collaborating with faculty mentors, students receive professional development through dedicated sessions involving external visitors from academic institutions and industry, along with internal, round-table discussions on internship and employment opportunities, the peer-review and publication process, collaborative work, and presentation skills training. The program provides students with hands-on experience in mathematical research and the skills needed to thrive in demanding academic and industrial environments.
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.
