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Questions about the Center for Computational Thinking?
Contact us at computationalthinking@duke.edu.
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State of AI Survey Ends Feb. 2
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Duke is spearheading an initiative led by the Office of the Provost and the Deans of Trinity Arts & Sciences and the Pratt School of Engineering to capture the "state of AI" at Duke.
Using a brief survey, we aim to gather information from faculty and staff -- AI users and researchers across Duke -- and discover their AI-related needs. The results of the survey will play a role in guiding Duke's strategic investments in AI. Survey results will be shared with the Duke community. Survey ends
Friday, Feb. 2.
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On
Friday, February 2, at 1pm in Gross Hall 318, graduate students are invited to join Astrid Giugni, Lecturing Fellow of English, and Duke Graduate School student Hannah Jorgensen to share their work related to the humanities and computation. RSVP to hannah.jorgensen@duke.edu is appreciated.
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AI Health Talks About the Past and the Future: Celebrating the Duke Centennial |
Tuesday, Feb. 13, 12 p.m. - 1 p.m.
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In this seminar, Dr. Michael Pencina, Vice Dean for Data Science, Chief Data Scientist for Duke Health, and Director of Duke AI Health, will examine the ongoing revolution in health data science and the application of artificial intelligence tools to the field of medicine.
Dr. Pencina will trace the evolution of increasingly sophisticated AI-powered technologies now being leveraged for patient care and clinical research, surveying the challenges and opportunities presented by these algorithmic technologies. In particular, the seminar will focus on the increasingly urgent need for robust oversight of health AI tools that encompass the entire lifecycle of such technologies, from development through validation and deployment.
Registration required.
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Upcoming workshops (See all workshops)
R for Lunch: Intro to mapping
Thurs., Feb. 1, 12:00 - 1:00 p.m.
R for Lunch: Geospatial data
Thurs., Feb. 8, 12:00 - 1:00 p.m.
Intro to QGIS
Thurs., Feb. 13, 10:00 a.m. - 12:00 p.m.
An Introduction to Reproducible Research Practices
Wed., Feb. 14, 10:00 a.m. - 12:00 p.m.
R for Lunch: Visualize data with {ggplot2} - effective visualization techniques
Thurs., Feb. 15, 12:00 - 1:00 p.m.
Intro to Tableau: Easy charts and maps
Tues., Feb. 20, 2:00 - 4:00 p.m.
R for Lunch: Streamlining reproducible workflows - from code to reports, slides & dashboards
Thurs., Feb. 22, 12:00 - 1:00 p.m.
R for Lunch: Larger than RAM computing with simplified SQL techniques and duckdb
Thurs., Feb. 29, 12:00 - 1:00 p.m.
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