- Inside the Center
- Insights and Solutions
- Crafting Democratic Futures: Wesleyan College
- Crafting Democratic Futures: Wofford College
- Crafting Democratic Futures: Carnegie Mellon University
- Critical data shortage may leave millions unaware of flood risk across nation
- Crafting Democratic Futures: Rutgers University—Newark
- Crafting Democratic Futures: Concordia
- Crafting Democratic Futures: Spelman College
- Case Study: Floods and Socioeconomic Inequality
- Case Study: COVID-19 and the Future of Work
- Anti-Asian Hate: U-M Chronicles Location, Nature of More Than 1,000 Incidents Last Year
- CSS Contributes Chapter to Forthcoming Book
- Case Study: Voting in Michigan
- Case Study: Slavery at American Universities
- Case Study: America's Dam Disaster
- A Look Back
- Archived Formats
A record number of floods have struck the U.S. over the past decade, devastating communities across the nation. In particular, millions of low-income, predominately minority-owned households remain most at risk — an inequality that is predicted to grow worse as climate change intensifies.
The Center for Social Solutions (CSS) has been working with the Real-Time Water Systems Lab at the University of Michigan to improve data networks so that burdened communities can more effectively respond to major flood events. In September, CSS researchers Brad Bottoms and Julie Arbit presented their most recent findings — “Equity in Flood Risk” — at a national emergency management conference in Grand Rapids, MI.
“Studies show that historically disadvantaged communities are both most at risk to flooding, as well as less likely to be able to recover,” research associate Julie Arbit explained. “Improving data networks that forecast and assess flooding can help track the extent of disasters in these communities."
Read the full story here.