We invite formerly incarcerated students with an interest in computational analysis and public health to apply to this program. Our goal is to expand STEM training and computational exposure to historically disadvantaged students in public K-12 education with limited exposure to computing during incarceration.
The program will incorporate faculty mentors from various departments at Yale University, including the Department of Ecology and Evolutionary Biology and the School of Public Health.
Mission
This NSF REU Training Site offers support to formerly incarcerated undergraduate students interested in infectious disease research using computational tools.
Eligibility
The program welcomes formerly incarcerated students in good standing in math and STEM courses. Community college students are encouraged to apply. Applicants must be US citizens or permanent residents.
Applicants
Applicants must be currently enrolled in a community or undergraduate college, be interested in STEM research and public health, and be a US citizen or permanent resident. REU interns will be assigned a graduate student mentor on a faculty team.
Intern accepted to this program will receive:
- a laptop
- a $700/week stipend along with a meal and travel stipend
- Housing near Yale campus in New Haven, CT (at no cost to the student)
All participants must complete the 10-week program with a full-time commitment - meaning no other employment or class obligations during the program.
- Dates: May 26-Aug 1, 2025
All applicants much have health insurance coverage. If you need access to short-term insurance in CT, contact the Co-PI Dr. Tanaka for information.
Applicants under supervision should contact Dr. Tanaka to discuss their application further: jacqueline.tanaka@yale.edu.
Application Requirements
- Application
- Current transcript
- Proof of citizenship or permanent resident
- Two letters of recommendation, one from a STEM professor
- Proof of health insurance
Program Activities:
The first week will be a ‘boot camp’ to introduce students to computational data analysis and public health. Students will select a faculty-led project in this week and the following nine weeks will have a morning computational tools class with afternoon research.
Evenings will provide time for homework and group interactions.
Faculty from public health and STEM disciplines will give informal lunch seminars. Students will enjoy lunch meetings on such topics as responsible conduct, resume building, academic opportunities, and ways to explore careers in public health and computational science.
Additional activities include: preparing research posters and presentations, weekend outings around the East Coast, including a trip to New York city.
Final Research Conference:
At the conclusion of the program, students will join in a joint research conference with REU students from other programs in Connecticut.