Google Mumbai Data Challenge: Air Quality Mapping & Forecasting supports participants developing AI solutions to map air quality and predict pollution, helping communities understand and anticipate changes.
Underwater Vessel Noise Challenge by the French Embassy in South Africa supports machine-learning participants developing models and research to help marine scientists detect and understand coastal vessel noise.
The Bias Bounty Mapping Equity Challenge supports data scientists in measuring open map coverage gaps and uncovering inequities that affect disaster preparedness in climate-vulnerable U.S. communities.
Adaptation Fund Climate Innovation Accelerator supports ventures developing local climate adaptation solutions to strengthen food security and resilience for vulnerable communities.
NIH Challenges' Grand Challenge seeks innovative, AI-ready data integration and analytics solutions to advance whole-person chronic disease disparities research.