Revised Implementation of a Mathematics and Computer Science Scholars Program
- Institution
- William Paterson University, NJ
- Principal investigator
- Jyoti Champanerkar
- Funding
- $2.0M
- Duration
- 2026–2032
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Still being scored
Abstract
This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at William Paterson University. A total of 40 scholars pursuing bachelor’s degrees in computer science and mathematics will receive scholarships averaging $10,000 for up to five years. Scholars will receive faculty mentoring and the project will build strong scholar cohorts through science clubs, internships, and experiential learning activities. Additional activities for scholars include workshops and networking opportunities. The overall goal of this Track 2 project is to increase STEM degree completion of academically talented, low-income undergraduates with demonstrated financial need. There is a significant national need to grow the STEM workforce and nurture key talent that will ensure economic competitiveness and provide domestic leadership across critical sectors. This project directly speaks to this need by supporting STEM student success, which will strengthen the workforce in mathematics, computer science and information technology and other key areas of need. The project will be assessed by an experienced evaluator that will measure scholar outcomes and identify best practices, and the data generated will contribute to the knowledge base regarding effective strategies to support talented, low-income students in STEM. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of academically talented, low-income students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students. 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.
Research team
- Jyoti ChampanerkarPI
- Cyril S Ku
- Paul W Von Dohlen
- Nan Wang
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