Guided by our proven Community Learning through Data-Driven Discovery (CLD3) approach, community-based research teams composed of Cooperative Extension System professionals (CES), university students and faculty, postdocs, and community stakeholders launched research projects aimed at identifying opportunities to advance economic mobility in Oregon, Iowa, and Virginia.
COVID-19 Impact on Communities
What impact has COVID-19 had on communities? To help guide their engagement with the communities they serve, CES colleagues requested we develop data insights to help them identify populations disproportionately impacted by the virus.
Community-driven Case Studies
During a focused 10-week period, Data Science for the Public Good teams engaged with CES and community stakeholders on research relevant to challenges in their communities, and dug deep to uncover data using the Community Learning through Data-Driven Discovery (CLD3) approach.
The current state of the CLD3 process is captured in each of the following case studies, which cover a range of communities, including state-wide, regional and particular communities of interest.