Advanced research skills webinars for College of Medicine students
Introduction
This new workshop series presented by faculty at the Library of the Health Sciences-Chicago is designed to help researchers, clinicians and information professionals improve their ability to find and share information. Covering key aspects of data sharing, search strategies and AI in literature searching, these sessions provide strategies for enhancing research workflows and clinical decision-making.
All workshops will be offered via Zoom and will be recorded and made available to all who registered. If attending online, please register in advance for each workshop. PLEASE NOTE: you must complete a separate registration for each online workshop you wish to attend.
For questions or more information, contact Emily Gilbert, emilygil@uic.edu
Webinars
Feb. 10, 11 a.m. - Data Papers: What They Are and Why Write One (Online)
As we produce more and larger data, data papers are emerging as a way to communicate and explain the data we are sharing beyond its original collection purpose. This webinar will delve into what a data paper is, how it is different from a research article or data repository submission, why you might want to write one and considerations for doing so.
Feb. 11, 11 a.m. - Researching Topics of Oppression (Online)
Oppressed groups frequently face difficulty identifying and retrieving information to counter the dominant narratives about their lives. Using the example of people living in larger bodies, this session will explain how fat studies opposes the medicalization of the lived experience of fat people, where fat studies literature is published and indexed and what paradigms exist in the literature. The research skills used in this example can enhance any searches on topics of oppression.
Feb. 12, 11 a.m. - Large Language Models and Literature Reviews in the Health Sciences: Potential and Pitfalls (Online)
This webinar examines how AI tools like ChatGPT currently handle literature searches, and in turn literature reviews, and why they frequently generate fabricated citations and/or miss key studies. We'll present an alternative: conducting your own systematic searches in specialized databases, then using AI tools to synthesize and draft from your verified citation library. The session covers the process of gathering citations, generating literature review drafts, requesting supporting evidence from the tools and iteratively refining your work while maintaining scientific rigor. You'll learn practical techniques for using AI as a research assistant while preserving your role as the critical evaluator of evidence and accuracy.