Journalists have access to more sources of data than at any time in human history. We are awash in data sets, scientific studies, political polls, and analyses.

But assessing, interpreting, and reporting on quantitative analyses can be fraught. As the saying goes "There are lies, damned lies and statistics."

 In order to serve the public effectively, journalists must be able to critically and efficiently evaluate these analyses.

Overview

Foundations of Evidence in Data Journalism is a two-day symposium designed and led by Harris faculty in partnership with WBEZ to provide journalists with methods to separate credible from non-credible evidence, distinguish causation from correlation, and avoid common pitfalls in interpreting quantitative evidence.

The course does not focus on methods or tools used for data visualization. Instead, in-class instruction, pertinent examples, and group exercises provide participants with core principles to improve their use of data across the newsroom.

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Who Should Attend

Participation is open to working reporters, editors, producers, and other journalists. Applicants should demonstrate that their associated outlet regularly produces data journalism (broadly construed). Preference is considered for journalists generating news content for or from the Chicago-area media market.  

Schedule & Logistics

December 9–10, 2019 at the University of Chicago Keller Center in Chicago, IL. The course is 9am – 5pm on both days. See the full program agenda here.

Once admitted, the registration fee to confirm your attendance is $125. Learn more about the program fee and logistics here.