Could one of your projects benefit from data science support? The Dominguez Center for Data Science is currently looking for semester-long data science projects for fall 2025 and spring 2026. All faculty and staff are invited to submit a project proposal.
Program in a nutshell: Students work on semester-long collaborative data science projects through the Dominguez Center for Data Science. Each project has a stakeholder mentor who serves as the domain expert and a data science mentor who manages the project and provides analysis support. The student fellows also meet with the Center Director to discuss best practices in data science and engage in efforts to support the Dominguez Center.
We are looking for new projects for the 2025-2026 academic year. Each selected project will be allocated $2000 of research funds, with $1000 designated for the stakeholder mentors and $1000 for the data science mentors. The form also outlines the expectations of each team member. Submit your 2025-26 projects using the form below by May 15th:
We have a broad view of what counts as data science and encourage you to think expansively in terms of how these collaborative projects could support your work. For inspiration, here’s an incomplete list of different types of projects:
| Project | JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows | Data Science Mentor | Stakeholder Mentor |
|---|---|---|---|
| Alumni Engagement Survey Analysis | Marina Anglo ’25 (Computer Science), Thu Le ’27 (Computer Science and Engineering) | Kelly McConville (Dominguez Center for Data Science), Sarah Jane Keefer (University Advancement), Wei You (Office of Institutional Research & Analytics) | Robin Adams (University Advancement) |
| Analysis of the 2016, 2020, and 2024 Presidential elections from an Intersectional Perspective | Ryan Carson ’28 (Business Analytics and Data Science), Noah Thomas ’28 (Statistics) | Katie Akateh, (Research Services), Carrie Pirmann, (Research Services), Janine Glathar (Digital Pedagogy & Scholarship) | Janet Knoedler (Economics) |
| Automated movement extraction of children’s dance | Claire Engel ’25 (Computer Science and Engineering), Gwen Radecki ’25 (Psychology and Linguistics) | Claire Cahoon (Digital Pedagogy & Scholarship) | Haley Kragness (Psychology) |
| BisonReady Data Optimization | Emanneul Mudungwe ’28 (Finance), Nicole Trejo ’27 (Business Analytics), David Whelan ’26 (Economics and Political Science) | Matt Bailey (Analytics & Operations Management) | Bethany Slear (Office of Experiential Learning, Freeman College of Management) |
| Data-driven building energy use visualizations and predictions | Celine Chang ’27 (Applied Mathematics), Aleena Sultan ’27 (Computer Science and Engineering) | Lily Li (Mechanical Engineering) | Lily Li (Mechanical Engineering) |
| Data-Driven Narratives: Inspiring Eco-writing with an Interactive Data Exploration Applet | Shaheryar Asghar ’28 (Mathematical Economics and Psychology), Caitlyn Hickey ’26 (Applied Mathematics in Business Analytics) | Sara Stoudt (Mathematics) | Elinam Agbo (English Department, Creative Writing Program) |
| Electron Burst Backgrounds in XENONnT | Muhammad Ahmed ’26 (Computer Science), Eleni Mandarakas ’27 (Physics) | Abigail Kopec (Physics & Astronomy) | Brian King (Computer Science) |
| Exploration of Veterans in the Survey of Prison Inmates | Rebecca Beneroff ’25 (Biology and Environmental Science), Richard Perez ’26 (Business Analytics), Keeler Thomas ’25 (Biomedical Engineering) | Kelly McConville (Dominguez Center for Data Science) | Austin Lampros (National Center on Homelessness Among Veterans, VA) |
| Free LLMs versus Paid LLMs: Do they widen the gap in education? | Sophie Yang ’27 (Mathematical Economics), Dulguun Soyol-Erdene ’26 (Business Analytics) | Keegan Kang (Mathematics) | Keegan Kang (Mathematics) |
| Fundraising total projections | Ryan DePalma ’26 (Economics), Asher Fallows ’28 (Mathematics and Computer Science) | Kelly McConville (Dominguez Center for Data Science) | Jennifer Shimp-Bowerman (University Advancement) |
| Patriot League Soccer: A Predictive Model for Tournament Qualification | Aiden Kim ’27 (Computer Science and Data Science), Katherine Vice ’27 (Economics) | Jimmy Chen (Analytics and Operations Management) | PJ Steiner (Bucknell Soccer) |
| Quantitative Cartography: Mapping Soil Bacterial Abundance by Landscape | Omolara Olatunji ’28 (Cell Biology/Biochemistry), Kelly Peterson ’25 (Biology) | Kelly McConville (Dominguez Center for Data Science) | Janani Hariharan (Biology) |
| University Advancement Giving Data | John Kirincich ’26 (Business Analytics), Joshua Lee (Computer Science), Sarah Long ’27 (Political Science) | Peter Brooksbank (Mathematics), Sohini Palit (Office of Institutional Research and Analytics) | Michelle Robertson (University Advancement) |
Looking for a past project? See each past semester’s page for more information: