2221421
Project Grant
Overview
Grant Description
Collaborative Research: Pacific Alliance for Low-Income Inclusion in Statistics & Data Science
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 the University of California - Santa Barbara, the University of California - Irvine, the University of Washington, California State University, East Bay, California State University, Monterey Bay, San Diego State University, and California Polytechnic State University, San Luis Obispo.
The data revolution is generating numerous well-paid career paths and creating a significant workforce shortage in statistics & data science. Graduate degrees are needed for many lucrative, data-rich careers, which can represent a significant barrier for low-income students. This project will provide scholarship support to approximately 115 talented, low-income undergraduate students studying statistics and data science and provide continued scholarship support for at least 65 of them over two years of graduate studies.
Scholars will benefit from faculty and peer mentoring, an annual meeting that spans all seven participating schools, and support for applying to and preparing for graduate school, including a pre-grad summer boot camp. Additional academic supports include a small-group directed reading program, shared coursework to build community within scholar cohorts, and undergraduate research opportunities.
The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Additional project goals and aims include: (a) to offer a cohort-based program that supports students financially via scholarships lasting up to 3 years; (b) provide scholars with academic and co-curricular experiences designed to facilitate placement into careers in statistics and data science; and (c) offer interventions to enhance scholars' community cultural capital.
Project research will use surveys and interviews to study three main themes: (a) how counterspaces and other kinds of community develop and support scholars' progress towards their goals; (b) how scholars' community cultural wealth shapes and is shaped by the counterspaces and communities that develop; and (c) how students' low-income status and other identities impact key counterspaces and communities and influence scholars' choices and outcomes.
Project evaluation will provide formative and summative feedback on all aspects of the project to support efficient progress towards goals. This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented 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.
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 the University of California - Santa Barbara, the University of California - Irvine, the University of Washington, California State University, East Bay, California State University, Monterey Bay, San Diego State University, and California Polytechnic State University, San Luis Obispo.
The data revolution is generating numerous well-paid career paths and creating a significant workforce shortage in statistics & data science. Graduate degrees are needed for many lucrative, data-rich careers, which can represent a significant barrier for low-income students. This project will provide scholarship support to approximately 115 talented, low-income undergraduate students studying statistics and data science and provide continued scholarship support for at least 65 of them over two years of graduate studies.
Scholars will benefit from faculty and peer mentoring, an annual meeting that spans all seven participating schools, and support for applying to and preparing for graduate school, including a pre-grad summer boot camp. Additional academic supports include a small-group directed reading program, shared coursework to build community within scholar cohorts, and undergraduate research opportunities.
The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Additional project goals and aims include: (a) to offer a cohort-based program that supports students financially via scholarships lasting up to 3 years; (b) provide scholars with academic and co-curricular experiences designed to facilitate placement into careers in statistics and data science; and (c) offer interventions to enhance scholars' community cultural capital.
Project research will use surveys and interviews to study three main themes: (a) how counterspaces and other kinds of community develop and support scholars' progress towards their goals; (b) how scholars' community cultural wealth shapes and is shaped by the counterspaces and communities that develop; and (c) how students' low-income status and other identities impact key counterspaces and communities and influence scholars' choices and outcomes.
Project evaluation will provide formative and summative feedback on all aspects of the project to support efficient progress towards goals. This project is funded by NSF's Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented 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.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SCHOLARSHIPS IN SCIENCE, TECHNOLOGY, ENGINEERING, AND MATHEMATICS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22527
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Santa Barbara,
California
93106-2050
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 51% from $2,148,859 to $3,239,530.
Santa Barbara University Of California was awarded
Low-Income Inclusion in Statistics & Data Science Scholarship Program
Project Grant 2221421
worth $3,239,530
from the Division of Undergraduate Education in October 2022 with work to be completed primarily in Santa Barbara California United States.
The grant
has a duration of 6 years and
was awarded through assistance program 47.076 Education and Human Resources.
The Project Grant was awarded through grant opportunity NSF Scholarships in Science, Technology, Engineering, and Mathematics Program.
Status
(Ongoing)
Last Modified 9/18/25
Period of Performance
10/1/22
Start Date
9/30/28
End Date
Funding Split
$3.2M
Federal Obligation
$0.0
Non-Federal Obligation
$3.2M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2221421
Transaction History
Modifications to 2221421
Additional Detail
Award ID FAIN
2221421
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
491104 DIVISION OF UNDERGRADUATE EDUCATION
Funding Office
491104 DIVISION OF UNDERGRADUATE EDUCATION
Awardee UEI
G9QBQDH39DF4
Awardee CAGE
4B561
Performance District
CA-24
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Salaries and Expenses, H-1B Funded, Education and Human Resources, National Science Foundation (049-5176) | General science and basic research | Grants, subsidies, and contributions (41.0) | $2,148,859 | 100% |
Modified: 9/18/25