Summary
Join us as we discuss the potential of Artificial Intelligence in the world of research.
This session aims to equip attendees with an enhanced understanding of AI, providing a solid foundation for informed decision-making in their research endeavors. Participants will gain a better understanding of AI and associated research tools, establishing a solid foundation for research applications, and engage in insightful conversations about the pros, cons, and ethical considerations surrounding AI in research and bias, fostering a critical evaluation of its impact. Additionally, we will review accessible AI tools that can significantly enhance various aspects of the research process, from data collection to analysis to dissemination. This session promises a dynamic discussion, empowering researchers to responsibly leverage the transformative potential of Artificial Intelligence in their work as they navigate the evolving landscape of AI in research.
About the Speaker
Dr. William Brown, III is an Associate Professor of Medicine & Epidemiology and Biostatistics at University of California, San Francisco, and is a John A. Watson Faculty Scholar. He is the Founding Director of CODE Lab, Director of DEI for the Bakar Computational Health Science Institute, Co-Director of the T32 DaTABASE for Health Disparities Research Fellowship, Associate Director at the Research Coordinating Center to Reduce Disparities in Multiple Chronic Diseases (RCC RD-MCD), and Implementation Science Lead for the Center for Digital Health Innovation. Dr. Brown is a Board Director of the American Medical Informatics Association (AMIA) and was a Vice Chair for the AMIA 2022 conference. His research involves Big Data, mHealth, Natural Language Processing, Machine Learning, and Standards [FHIR, OMOP, UMLS, etc.] as applied to clinical and behavioral health disparities research, with underserved communities. Using community-based participatory research he works to reduce chronic illness (HIV, diabetes, opioids) and health disparities among vulnerable populations (i.e., African-Americans, Latinos, youth, and LGBT). He also teaches and mentors graduate students.
About the ISD Webinar Series
The Investigator Skills Development (ISD) Webinar Series is presented by the Investigator Skills Development Unit (ISDU) of the UCSF Research Coordinating Center to Reduce Disparities in Multiple Chronic Diseases (RCC-RD-MCD).
Co-Sponsored by CAPS Town Hall and the CAPS Implementation Science and Health Systems (ISHS) Core
ISDU Director: Mandana Khalili, MD, MAS, Professor of Medicine, UCSF, Chief of Clinical Hepatology, San Francisco General Hospital
ISDU Co-Director: Edwin Charlebois, PhD, Professor of Medicine, Division of Prevention Science, UCSF