Air Quality Collaboration in the Democratic Republic of Congo
Crudecast selected by the Energy Policy Institute at the University of Chicago (EPIC) to Develop AI Technology for Wasaru in Kinshasa Air Quality (KINAQ) Project
This project is building the first open, real-time air quality monitoring network in the Democratic Republic of Congo, deploying sensors across Kinshasa to measure fine particulate pollution (PM2.5) and make the data publicly accessible. The initiative is designed not only to generate critical health and environmental insights but also to inform the creation of national air quality standards and strengthen public policy.
Crudecast has been invited to contribute technical and strategic expertise to support KINAQ as part of EPIC’s global volunteer network. We will be working directly with the project team in Kinshasa (Paulson Kasereka Isevulambire) and international research partners to:
Develop advanced AI/ML tools for monitoring and data strategies for robust, scalable PM2.5 measurement and prediction.
Advise on policy translation, ensuring that scientific findings can shape actionable standards, using proven policy from examples such as California.
Contribute to capacity building, helping local institutions and communities maximize the value of open air quality data.
The collaboration reflects our broader commitment to combining technical innovation, policy insight, and cross-border partnerships to address urgent environmental challenges.
