Session: WITHDRAWN Equitable Data Storytelling in Social Work (Society for Social Work and Research 26th Annual Conference - Social Work Science for Racial, Social, and Political Justice)

16 WITHDRAWN Equitable Data Storytelling in Social Work

Thursday, January 13, 2022: 1:30 PM-3:00 PM
Independence BR H, ML 4 (Marriott Marquis Washington, DC)
Cluster: Organizations & Management
Jennifer Nulty, MSW, Equivolve Consulting, Tejaswini Vemuganti, MPH, Equivolve Consulting and Martena Reed, MSW, Equivolve Consulting
Today, data is everywhere. We have access to massive amounts of data about participants, service administration, and program effectiveness. What is not so easily accessible is how we can best use those data to advance equity and equitable outcomes. Extracting useful takeaway messages and framing our data findings in a way that highlight inequities and identify equitable solutions can be challenging. Traditionally, data stories about our programs and the communities we serve are centered around communicating need and deficits. These narratives can perpetuate stereotypes and marginalize communities of color. We have the power and opportunity to transform the way we report on data so that it is culturally responsive and engages the communities we serve. During this workshop, presenters will discuss strategies you can use to tell stories in a way that promotes equity and uses intentional narrative, data, and design. Using case examples, the principles discussed in this workshop will enhance attendees ability to communicate data findings that highlight underlying systemic drivers of inequity and consider how historical and structural factors impact participants of your program, your program itself, and its mission. Harnessing the power of data by using effective storytelling and visualization techniques will give your organization the tools to better communicate program outcomes responsibly. By the end of this session, participants will be able to frame data findings in ways that identify equitable solutions. Participants will also have tools to engage the communities we serve in the data design interpretation process.
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