REU site: data science across disciplines

The National Science Foundation Division of Computing and Communication Foundations awarded Marquette University $462,108 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to operate a Research Experiences for Undergraduates site in data science across disciplines.

The site immerses undergraduate students in an intensive research and mentoring environment addressing the national scarcity of a skilled workforce capable of applying computational and data science techniques to complex, real-world problems. The program begins with an accelerated data science boot camp establishing foundational competency in analytics and methodology, followed by domain-driven research utilizing advanced data science and psychometric methods. Students engage with data cleaning, predictive modeling, statistical validation, and large language models in cutting-edge research laboratories. Research applications span healthcare, societal impacts of artificial intelligence, medicine, computer science education, and social science. The site leverages a long-standing recruitment network connecting undergraduate students from small colleges with limited research resources to high-impact projects. Participants return to their home institutions as peer mentors, amplifying the program's reach. Expected outcomes include novel computational solutions for healthcare and social science domains and measurable gains in students' proficiency in verbal and written communication of technical findings.

Work is performed in Milwaukee, Wisconsin. The period of performance runs from October 1, 2026, through September 30, 2029.

Abstract

The data science across disciplines research experiences for undergraduates site addresses the national scarcity of a skilled workforce capable of applying computational and data science techniques to complex, real-world problems. By immersing undergraduate students in an intensive research and mentoring environment, the program bridges the GAP between classroom theory and interdisciplinary practice. The project?s novelties are its diverse range of research applications, stretching from healthcare to the societal impacts of artificial intelligence, and the site?s long-standing recruitment network that connects students from small colleges with limited research resources to high-impact projects. The project's broader significance and importance are found in its commitment to strengthening the scientific workforce and its ability to empower students to solve problems in fields as varied as medicine, computer science education, and social science. Participants return to their home institutions as peer mentors, amplifying the program?s reach and inspiring a new generation of data-literate professionals across academia, industry, and government. The technical approach centers on a research-intensive immersion beginning with an accelerated data science boot camp to establish a foundational competency in analytics and methodology. Students utilize advanced data science and psychometric methods to investigate specific domain-driven questions. The site leverages cutting-edge research laboratories to facilitate student engagement with data cleaning, predictive modeling, statistical validation, and large language models. Expected advances include the development of novel computational solutions for domains such as healthcare and social science, alongside measurable gains in student proficiency in verbal and written communication of technical findings. The program concludes by producing researchers who demonstrate high technical competence and the ability to translate complex data into actionable insights for the benefit of public health and societal well-being. 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.- subawards are not planned for this award.