This one-day course will be offered via Zoom only. Course schedule is 9:00am – 3:00pm, with a 1 hour lunch and (2) 10-minute breaks. Attendance is required as it will not be recorded.

This course features Dynamic Narrative Inquiry – theory and principles for narrative research design and analysis drawing on the richness of expressive language. With this approach to qualitative inquiry, researchers can build on communication in daily life where diverse practices for sharing experience, making sense of experience, and imagining social change occur in personal narratives, sociocultural communications, and institutional policies.

This course involves a sequence of presentations and practical workshops with narrative analysis strategies applicable to small or large studies that sample verbal and/or visual discourse. We begin with an introduction to dynamic narrative inquiry, followed by modules with three analysis strategies that yield findings to a wide range of relevant social science research questions. Using examples from prior published studies, rationales and methodology are presented, including character mapping (to identify meaning in narrative actors, actions, and relationships); plot analysis (to identify how narrative structures express logics and intentions); and values analysis (to identify speaker/author/ purposes). The final hour of the day is devoted to discussing course participants’ insights from the workshops and implications for future research, practice, and policy.

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This 2-part (9/26/23 & 9/28/23), 4-hour course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

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AI Health Virtual Seminar: 7 Problems Facing Artificial Intelligence for Health (and what’s being done about them)

Artificial Intelligence has been promoted as the key to solving key problems in healthcare, but the challenges facing us are complex and sometimes intractable - with potential even to bring harm. In this 1-hour seminar, we'll discuss this landscape at a high level, including a history of unrealistic expectations, overhype that too often permeates this space, serious issues of bias and fairness, and other areas. We'll discuss illustrations and case studies drawn from the current scientific literature, informed by AI Health's longstanding Weekly Roundup of news and publications in AI. We'll also talk about the researchers and approaches that are informing responses to these problems, and the opportunities that exist to actively develop ethical and equitable data science. This session is free and open to anyone in the world.

Speaker:
Jonathan McCall, MS
Communications Director
Duke AI Health

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; 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).