Data@Urban’s Top Posts of 2023
Automation can make data collection efforts easier, but completely removing humans from the process is impractical and ineffective.
2. Modeling the effects of land-use policy on housing construction in the DC region
With Urban’s Housing Market Forecaster tool, researchers demonstrate how to connect local zoning policies with other local demographics to show how changes over time might influence outcomes.
3. Understanding the possibilities of text mining for equity analysis
There are inherent limitations to text mining and natural language processing when analyzing nuanced topics such as social equity. But there are opportunities for text mining to further equity analysis.
4. Taking an equity lens when visualizing data by race
When presenting information, data communicators should consider whether to show all groups together using standard aggregate measures or adopt a strategy that includes more data, provides additional detail, or displays groups on separate graphs.
5. Visualizing implications for communities of color in public data releases
Applying user experience and user-centered design principles for data tools, like this prototype, can help decisionmakers promote, target, and seek funding and maintain privacy standards for communities of color.
