Funding opportunities in the data for social impact community.
Mozilla Foundation's Democracy x AI Cohort offers $50,000 grants to technologists building AI-powered tools that strengthen democratic institutions, improve information quality, and expand civic participation
Provided by Mozilla Foundation
The Moonshots for Development Open Innovation Challenge convenes innovators and partners to surface and scale bold, practical solutions—powered by data, AI, and geospatial insights—that strengthen resilient food systems and improve livelihoods for smallholder farmers and rural communities worldwide.
Provided by Moonshots for Development
Google.org's $30M Impact Challenge: AI for Government Innovation funds nonprofits, social enterprises, and academic institutions partnering with governments to harness generative and agentic AI for better public services — and selected organizations also receive hands-on technical support from Google AI experts through the Google.org Accelerator.
Provided by Google.org
Google.org's $30M Impact Challenge: AI for Science funds researchers and organizations working to accelerate scientific breakthroughs — with selected recipients also receiving six months of pro bono technical support from Google experts and access to Google Cloud credits through the Google.org Accelerator.
Provided by Google.org
The Mental Health Data Prize UK is an open challenge for teams with a bold idea for a new digital tool or application that uses existing mental health data in innovative ways.
Provided by Wellcome
Invites university students, early career professionals and EY people to use AI and data to tackle one of humanity's most pressing needs: access to clean, safe water.
Provided by EY
The Robert Wood Johnson Foundation’s Local Data for Equitable Communities grants support U.S. nonprofit organizations to collect, analyze, and use local data to address inequities in physical, economic, and social conditions and drive community-led action toward healthier, more equitable places.
Provided by Robert Wood Johnson Foundation
Hackathon to build machine learning models to predict the FHI using socio-economic and business data such as traded commodities, export and import activity, demographics, firm size, and location.
Provided by Zindi