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Applying Accessibility and Equity in Data Visualizations

  • 18 Nov 2021
  • 12:00 PM - 1:00 PM
  • Webinar
  • 0


Registration is closed

Data is created by and about people. For those who work with, communicate, and visualize data it's important to know how to make information accessible to all and acknowledge that data visualizations are not objective or neutral. When visualizing data, how do we keep these considerations front and center? 

This workshop will cover techniques to apply a more diverse, equitable, and inclusive lens to data communications and visualizations to make your data visuals more accessible. Additionally, we will cover reflections around how, as data communicators, we can do a better job of thinking about race, ethnicity, gender, ability and intersections in data visualizations.

Information about the presenter:

Nikole Lobb Dougherty is the associate director at the Brown School Evaluation Center at Washington University in St. Louis. She has nearly 20 years of experience in program and systems-level evaluation,  evaluation capacity-building, and communicating and visualizing data. 

One of the things Nikole loves most about being an evaluator is the diverse set of responsibilities – from designing meaningful evaluations, to analyzing data, to effectively communicating findings into actionable recommendations, and supporting intended users and organizations as they build their capacity to better understand, document, and communicate their impact. Nikole also leads post-master’s certificate programs in Program Evaluation and Visualizing and Communicating Data at the Brown School and serves as the Vice-President of Evaluation Association of St. Louis (EASL).



      AEA affiliate 
      since 2004

      Minnesota Evaluation Association

      P.O. Box 581114,

      Minneapolis, MN 55458



      Twitter: @mnevaluation

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