Do No Harm with Data Viz

Class Experience Level
Beginner

This class is no longer accepting registrations

In today's increasingly diverse world, it is more important than ever for data communicators to make sure that the way they analyze and present their data upholds the values of diversity, equity, and inclusion (DEI) and avoids perpetuating harm. This session will offer a set of starting points on how to apply an equity lens to the way we visualize data. Participants will learn about considerations surrounding the use of language, color, icons and imagery, ordering, and more in their charts and graphs. Participants should walk away from this session with an understanding of how to create and evaluate data-driven visuals that embody a DEI approach.

Speaker Bio: Alice Feng is a data visualization developer based in the Washington, DC area. She is passionate about using design to make data and information more accessible to broader audiences and recently has been exploring ways to bring more diversity, equity, and inclusion into the way we visualize data. Her work has appeared in The Parametric Press and The Pudding. Previously, Alice worked as a data viz developer at the Urban Institute where she built interactive and static data visualization features and tools communicating public policy research. Alice is currently a Senior Data Scientist at Natera.

Objectives:
  • Understand principles for creating diverse, equitable, and inclusive data visualizations
  • Master ways to use language, order data, and choose color palettes and icons that reflect sensitivity and inclusiveness
  • Learn strategies for demonstrating empathy in data-driven communications

This class is part of the PNC-MLA Health Equity and Diversity Speaker Series.

Class Recording

Class Details

Date(s): February 17, 2022
Time: 2:00 PM - 3:00 PM EST
Platform: Webex
CE Credits: 1.00
CE Categories: DSS Level 1
Class Experience Level: Beginner
This class is sponsored by Region 5.
Learn more about this class and find other upcoming instances:

Class Contacts

Host/Instructor: Nancy Shin
Technical Assistance: Maddie Romansic

Can't join us live?

Register anyway and you'll receive the recording after the event.