ENE Research Seminar: Research with Scite AI
ENE Research Seminar: Research with Scite AI
| Event Date: | November 13, 2025 |
|---|---|
| Speaker: | Dave Zwicky, PhD |
| Speaker Affiliation: | Purdue University |
| Type: | Research Seminar |
| Time: | 3:30-4:20 p.m. |
| Location: | WANG 3501 |
| Open To: | Graduate and undergraduate students, staff, and faculty with an interest in educating engineers |
| Priority: | No |
| School or Program: | Engineering Education |
| College Calendar: | Show |
For the high-flex option, register in advance. You will receive a confirmation email containing information about joining the meeting.
Title:
Research with Scite AI
Abstract:
Scite is a research tool that uses machine learning to make your literature searching more effective. Scite’s database uses machine learning to determine how citations relate to each other (are they supporting, are they contrasting, etc.) and its AI assistant can answer questions using information from real articles. This seminar will cover how Scite works, its strengths and weaknesses, and how we can use it as part of our literature searching toolbox.
Bio:
Dave Zwicky is an Associate Professor in the Purdue University Libraries & School of Information Studies. He serves as the Chemical Information Specialist, as well as the Patent & Trademark Resource Center Representative. His research is focused on best practices in information literacy instruction, particularly as they relate to intellectual property, and evidence synthesis.
Citation:
M. Phillips, J. B. Reed, D. Zwicky, and A. S. Van Epps, “A scoping review of engineering education systematic reviews,” Journal of Engineering Education, vol. 113, no. 4, pp. 818–837, 2024, doi: 10.1002/jee.20549.