This one-day course will be offered via Zoom only. There will be a 1-hour lunch and (2) 10-minute breaks (one in the morning and one in afternoon). Attendance is required as it will not be recorded.
This 6-hour course provides a general introduction to qualitative data collection, with an emphasis on applications within public health. We will examine the principles behind crafting cogent and engaging research questions, as well as selecting appropriate sampling strategies and sample sizes for qualitative inquiry. The workshop then delves into the two most commonly employed qualitative data collection methods – in-depth interviews and focus groups. Participants will gain first-hand experience designing instruments and conducting qualitative interviews. Best practices associated with qualitative data management, including transcription and translation, will comprise the final portion of the workshop. Course structure includes lecture, demonstrations, and hands-on exercises. Examples will include both domestic and international research contexts.
Join the School of Data Science and Society for a seminar featuring Michael R. Kosorok, PhD, W.R. Kenan, Jr. Distinguished Professor of Biostatistics and professor of statistics and operations research. This seminar will be held in-person at ITS Manning in room 2400.
In this talk, Kosorok will discuss at a high level important recent developments in artificial intelligence, including large language models and other artificial intelligence tools such as off-policy reinforcement learning, and their strengths and limitations, with an emphasis on applications in causally valid precision health research. This will include some perspectives on the dangers of overhype and unrealistic expectations, a discussion of present and future dangers, and suggestions on how to move forward.