Faculty-Mentored Student Research Experiences

As embedded experiences in formal courses, via independent study, or as a senior thesis project, students are mentored by our faculty to learn firsthand how to conduct primary research, produce original interpretations, and construct new knowledge. Student research experiences are showcased at the annual Petersheim Academic EXPO and international, national, and regional academic and professional conferences, journals, and blog sites. 

 

College of Arts & Sciences Dean’s Undergraduate Research Grant

The Dean’s Undergraduate Research Grant sponsors undergraduate student research. Students apply through a full-time faculty member to work on a scientific research project in the one of several STEM departments – Biology, Chemistry and Biochemistry, Mathematics and Computer Science, Physics, or Psychology. These generous grants provide stipends to undergraduate students and their faculty sponsors. The grants also provide funding for research supplies and travel. Research is typically conducted in person on campus during the summer. Students join faculty in sharing their research findings at conferences, through publications and through other forms of dissemination. The 2024-2025 cycle saw 19 students awarded these grants, which were partially supported by a grant from the Office of the Secretary of Higher Education of the State of New Jersey.

 

For questions, please contact Professor Jeffrey M. Togman at [email protected]. 

DataLab

The DataLab is a groundbreaking research initiative that aims to advance research activities across all disciplines of Seton Hall University. Funded by the Office of the Provost, this initiative concurrently works to promote hands-on, original undergraduate research and to support faculty research projects. An interdisciplinary project, the DataLab provides data management and data analysis training to students working with faculty on small-scale research projects in all disciplines. Students use many quantitative and qualitative data analysis software such as Atlas.ti, SPSS, Stata, jamovi, and data visualization techniques to analyze and report their project results. The DataLab teaches students to be digital storytellers, and it yields compelling projects that can be published or included in student portfolios and job application dossiers. 

DataLab students are required to attend a minimum of four data classes plus participate in hands-on exercises and assignments. For questions, please contact [email protected].