This course will be offered IN-PERSON only (10/5/23 from 9:30am – 4pm US Eastern) in Davis Library Room 219. Attendance is required as the course will not be recorded.

Cognitive interviewing in survey research is a methodology researchers use to gain a better understanding of how respondents think when answering specific survey items. Data gathered using the cognitive interview approach help researchers identify and remedy issues with their questionnaires. This short course is designed to provide participants with fundamentals on how to design, conduct, and analyze cognitive interviews. Participants will have the opportunity to practice specific cognitive interviewing techniques, including think-alouds, probing, and observation. Participants will also learn about revising survey questions based on interpreting cognitive interview results.

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AI Health Virtual Seminar: Introduction to Machine Learning and Artificial Intelligence in Health

The transformation in artificial intelligence (AI) and machine learning (ML) is impacting clinical medicine with potential for benefit but also harm. In this one-hour virtual seminar, we'll introduce AI and ML, highlight capabilities of current methods for images, text, and other big data in clinical settings, and discuss considerations in how to use these powerful methods responsibly.

This session will be a high-level introduction accessible to people with no prior knowledge of artificial intelligence.

Speaker:
Matthew Engelhard, MD, PhD
Assistant Professor of Biostatistics and Bioinformatics
Director of the Duke AI Health Data Science Fellowship Program

Host:
Shelley Rusincovitch, MMCi
Managing Director
Duke AI Health

This event is sponsored by Duke AI Health; the Duke University Departments of Biostatistics & Bioinformatics, Computer Science, and Electrical and Computer Engineering; the Duke Center for Computational Thinking; Duke CTSI; CTSI CREDO; and the Pratt School of Engineering. It is being cross-promoted by the North Carolina BERD Consortium (Duke University School of Medicine, University of North Carolina-Chapel Hill, and Wake Forest School of Medicine).