Case Studies

As the Urban Institute team continues to improve and expand the features of the Spatial Equity Data Tool, we are excited to showcase examples of how future potential users can integrate SEDT into their own work.

Our first collection of three case studies is supported by the South Big Data Hub Seed Fund Grant and highlights uses of the SEDT visualizations, API, and the sedtR R package developed in partnership with organizations across the US South. Each case study includes a narrative description of the important policy initiatives of our partners, a how-to for using and adapting SEDT into specific policy and data contexts, and easy-to-follow code snippets in R and Python. Below are descriptions of the three case studies:

• Comparing the representativeness of administrative data on eligible trainees and workforce training locations in the Atlanta region (R code)

• Layering SEDT disparity scoring with partner data on gun violence incidents in the District of Columbia (Python code)

• Manipulating line data to use the tool and assess distribution of capital improvement projects in Baltimore (R code)

We would like to thank the South Big Data Hub Seed Fund Grant for their support funding the development of this collection of case studies. We would also like extend a huge thank you to our partners for their collaboration in the development of these case studies, including the following partners:

• Work Source Metro Atlanta, particularly Dr. Michael Rich at Emory University

• The District of Columbia Office of Gun Violence Prevention, particularly Rafael Moreno, Amy Mack, and Daivd Marimon

• The Baltimore City Department of Planning and Department of Transportation, particularly Eli Pousson and Alex Bauer