Applying an equity lens to data visualization requires critically examining default thinking around language, ordering, color choice, and who is excluded and why. As we update our data visualization style guide, we’re centering the experiences of those we study, our audiences, and those we hope to reach.
COVID-19 has changed how organizations interact with the communities they work with, and innovative community engagement approaches should accurately reflect these residents’ priorities, needs, and preferences. Three key strategies can guide organizations working with those needing support during the pandemic.
After hosting our first-ever design challenge at the Foundations for the Future of Housing conference, we compiled some reflections and recommendations for using design thinking challenges in future conferences.
Urban’s Spatial Equity Data Tool allows government officials, community advocates, and nonprofit organizations to upload their own city-level data so they can quickly assess spatial and demographic disparities to inform decisionmaking around more equitable resource distribution.
The Data@Urban team: