Dominguez Center for Data Science

All posts by Claire Cahoon

Friday, June 27th, 2025

Presidential Election Analysis from an Intersectional Perspective

2024 U.S. Presidential Election data by county The data in this archive consists of the votes for the main candidates in the United States presidential elections for 2016, 2020 and 2024 by county: Download the 2024 Presidential Election Results Data Under the direction of Jan Knoedler (Professor, Economics), Carrie Pirmann (Social Sciences Librarian) and Katie Akateh (Research Data Services Specialist), JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows Noah Thomas (Statistics major, class of 2028) and Ryan Carson (Analytics and Operations Management major, class of 2028) collected and wrangled this data directly from the official tallies provided by […]

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Tuesday, May 27th, 2025

Bridging Data and Storytelling: Behind the Scenes of the Eco-Writing Apps

This semester, a dedicated team of students and faculty at Bucknell University embarked on a unique interdisciplinary project that blended data science, creative writing, and ecological storytelling. Their mission was simple yet ambitious: to create interactive tools that would help writers draw inspiration from real-world ecological data. Guided by Professor Sara Stoudt, who provided technical frameworks and mentorship, and Professor Elinam Agbo, who brought a writer’s sensibility to the work, the project bridged multiple disciplines and approaches. The student team was led by Caitlyn Hickey, a junior majoring in Applied Mathematics with a minor in Physics, and Shaheryar Asghar, a […]

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Monday, May 19th, 2025

DCDS Summer Workshop Series

Check out the Dominguez Center for Data Science summer workshop series! We are partnering with the Emerging Scholars/Undergraduate Research Program, Library Services, and IT to provide different workshops to help you build data skills for your research. Check out the full workshop descriptions, instructor details, and more on our workshops page: DCDS Workshop Details Students Title Date Time Location Collaboration and Productivity Tips in the Google Suite Tuesday, May 27 2:30-4:00pm Taylor 210 Data Analysis with R Monday – Thursday, June 2 – 5 2:30-4:00pm Taylor 210 GIS and Map-Based Analysis with the Undergraduate Summer Research Program Monday, June 9 […]

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Tuesday, May 6th, 2025

2025 Data Science Student Fellows Final Presentations

Congratulations to all of the JoAnn Patrick-Ezzell ’75 & Andrew Ezzell Data Science Student Fellows! On May 5, 2025, all thirteen teams gathered to give 5-minute presentations about the results of their semester-long projects. See a full list of the projects and credits for all of the students, stakeholders, and mentors on the Spring 2025 Data Science Projects page. Thank you to JoAnn Patrick-Ezzell, Andrew Ezzell, and Michael Dominguez for their generous support of the program, and to all of the stakeholders and mentors who worked with the spring 2025 cohort of Data Science Student Fellows! Photo Gallery Gwen Radecki ’25 and Claire […]

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Wednesday, April 9th, 2025

DataFest Philly 2025

Congratulations to the Bucknell students who participated in DataFest Philly 2025! Back row (left to right): Sophie Yang, Dulguun Soyol-Erdene, and Sofi Jeffrey.Front row (left to right): Celine Chang, Ellyn Ngo, Alec Sanders, and Keegan Kang. Celine Chang, Ellyn Ngo, Dulguun Soyol-Erdene, Sophie Yang, Sofi Jeffrey, and Alec Sanders participated in DataFest @ Villanova during the weekend on March 27th-30th. Team Bucknell 1 (Alec Sanders, Sofi Jeffrey, and Sophie Yang) was one of the Finalists, and won Honorable Mention for the Participant’s Choice Award for receiving the highest number of participant votes within Group A. DataFest Philly 2025 “DataFest Philadelphia […]

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Friday, April 4th, 2025

Strategic Data Science Initiatives: Text Analysis Methodology

Researchers: Office of Institutional Research & Analytics (Kevork Horissian, Mike Latorre, Doug LeBlanc, Rita Liu, Sohini Palit, Wei You, and Jocelyn Zhao) We have developed a rigorous, literature-informed methodology for analyzing open-ended survey responses and other textual data. This approach ensures our insights are accurate and grounded in best practices, enhancing the quality and credibility of our qualitative analysis. See an example of data analyzed as part of the First-Year Transition Survey using this methodology below: Q6. Which of the following reasons best describe why your semester is going well? Please select all that apply (2024 only). This graph represents […]

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