This course will be held over two-days (2/20/2024 AND 2/22/2024), 9 a.m. – 1 p.m. ET each day. Attendance is required as this class will not be recorded.

This course focuses on best practices for writing questions and visual design for surveys, with a focus on holistic designs in which question wording and visual design work together to produce good measurement. It draws on the empirical literature to provide practical guidelines for questionnaire design and considers mixed-mode and mixed-device surveys. The course will include PowerPoint slides and whole group and small group discussion.

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UNC NRP February 2024 Education Session: OSP Contracting Overview: A Deeper Dive

Please join the UNC Network for Research Professionals as Kimberly Austin and Laura Parker take us through a deeper dive into the Office of Sponsored Programs contracting process.

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Community and Neighborhood Level Interventions for Black Populations

The third discussion in the SSW's Black History Month series delves into effective, community-based mental health interventions. Hear from experts in the field, learn about culturally sensitive approaches to suicide prevention, and explore humanizing approaches to research with Black populations.

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Becoming A Data Detective – Holding AI Accountable

Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman, Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU, as she shares key takeaways from her book, The Algorithm: How Al Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now.

Al is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Algorithms are on the brink of dominating our lives and threaten our human future-if we don’t fight back. During the webinar, Schellmann will share takeaways about the rise of Al in the world of work and show how she tested many of the available tools herself without coding experience.

Learn more at datascienceconsortium.org.

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