Data Science Projects
Spring 2025 Call for Proposals
Apply to a Data Science Student Fellow for the Spring Semester!
The Dominguez Center for Data Science is currently hiring data science student fellows for the spring semester. Students from all years and majors are encouraged to apply. If you are a student with an interest in data and experience with at least one data science software program (such as R, Python, or Excel), this is a great opportunity to grow your data science skills. We are looking for students who are eager to develop their data science skills by doing. Therefore, a willingness to dive in is more important than prior experience.
Over the course of the semester, student fellows work on a mentored data science project and support data science initiatives on-campus. Find more details and application requirements in Workday below:
Could one of your projects benefit from data science support? All faculty and staff are invited to submit a project proposal to the spring 2025 iteration of the Data Science Student Fellows program!
Program in a nutshell: Student Fellows are paid to 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 cohort of Student Fellows also meet with the Center Director to discuss best practices in data science and engage in efforts to support the Dominguez Center.
Each selected project will be allocated $2000 of research funds, with $1000 designated for the stakeholder mentors and $1000 for the data science mentors. Submit your spring 2024 semester projects using the form below by November 13th:
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:
Analyzing and visualizing a dataset.
One of the fall projects analyzes Bucknell Engineering Camp survey data to examine how students’ confidence in their abilities varies by demographics.
Exploring how a new technique or tool could advance your work.
A project could involve leveraging an AI model and seeing how the model performs compared to other more traditional techniques.
Transforming messy data into a more tractable form.
Do you have a set of articles and want to extract out the numerical information? Do you have a bunch of datasets that need to be combined and cleaned?
Creating interactive dashboards.
Would your work benefit from having a website where graphs and output could be updated based on choices of the user?
Mining texts for themes.
A project could involve sifting through a large number of texts to identify themes and trends in the language.
Coding support.
A project could help you convert your workflow to a reproducible, version-controlled format or to package up your code for easy dissemination.
Please reach out to Kelly McConville (k.mcconville@bucknell.edu), the Director of the Dominguez Center, if you have any questions.
Fall 2024 Projects
| Logo | Project | Student Fellows | Data Science Mentor | Stakeholder Mentor |
|---|---|---|---|---|
 | Map Coloring: an accessibility focused algorithmic approach for cluster identifiability | Kacy Alejo-Rios ’26 (Economics) | Abby Flynt (Mathematics) and Owais Gilani (Tufts University, Public Health and Community Medicine) | Abby Flynt (Mathematics) and Owais Gilani (Tufts University, Public Health and Community Medicine) |
 | Finding cluster patterns in bot-infested Twitter data | Gavin Moore ’25 (Mathematics) | Peter Brooksbank (Mathematics) | Peter Brooksbank (Mathematics) |
 | Using Data Science and Exploratory Statistics to Improve Nationwide Forest Inventory Data Analysis | Lissandro Alvarado ’25 (Business Analytics), Tegan Kelsall ’27 (Business Analytics and Accounting), and Harrison Halesworth ’25 (Computer Science & Engineering) | Kelly McConville (Dominguez Center for Data Science) | Andy Lister, Tonya Lister, Alex Young (USFS Forest Inventory and Analysis Program) |
 | Expanding User Functionality of LEAF Turning Engine Tool | Viveka Kurup ’25 (Computer Science) and Justin Verlin ’27 (Computer Science & Engineering) | Diane Jakacki (Digital Pedagogy & Scholarship, Comparative & Digital Humanities) | Diane Jakacki (Digital Pedagogy & Scholarship, Comparative & Digital Humanities) |
 | Engineering Camp Survey Data, 2010-2024 | Leo McMenimen ’26 (Computer Science), Eren Ugur ’26 (Computer Science), and Linh Nguyen ’25 (Computer Science and Business Analytics) | Kelly McConville (Dominguez Center for Data Science) | Erin Jablonski (Perricelli-Gegnas Center for Entrepreneurship & Innovation) |
 | T.E.A.M.s Survey Result Analysis | Odilon Ligan ’26 (Computer Science) and Ella Fleischer ’26 (Computer Science and Engineering) | Katie Akateh (Research Services) and Claire Cahoon (Digital Pedagogy & Scholarship) | Shallary Simmons Duncan, Ph.D. (T.E.A.M. Peer Mentoring Program, co-founder & retiree) |
 | Dynamic Machine Learning of Electronic-Tongue Data for Unbiased Assessment of Coffee Quality | Ryan Koes ’26 (Computer Science and Engineering) | Brian King (Computer Science) | Kat Wakabayashi (Chemical Engineering) and Alan Marchiori (Computer Science) |