2022 Data Expo Challenge

2022 Data Expo Challenge

Contestants used at least one of the following five data sets selected from the Urban Institute Data Catalog. The Urban Institute is a “nonprofit research organization that believes decisions shaped by facts, rather than ideology, have the power to improve public policy and practice, strengthen communities, and transform people’s lives for the better.” (https://www.urban.org/aboutus

Contestants combined their chosen data set with at least one other publicly available data set. One option is to use another data set from the list.

We encourage participants to be creative in their research questions, objectives and analysis. Novel and interactive visualizations to explore the data are always of interest. The following comments are provided to spur inspiration:

  • Most of the challenge data sets from Urban include some aspect of race and ethnicity, so the analysis could focus on using the data to develop policy recommendations to address racial and ethnic inequality.
  • The Unequal Commute Data could be combined with external/additional data to provide policymakers with a more complete understanding of the challenges faced by constituents. For example, the analysis could connect the Unequal Commute Data with education data.
  • The Homeowner Assistance Fund data could be combined with external data on job outlook and public health. For data on employment and job outlook, check out bls.gov and www.census.gov
  • The Estimated Low Income Jobs Lost to COVID-19 data set has an associated interactive data visualization tool. This is predicted data, so participants could perform a comparative analysis with another prediction method(s) or data.