Google Mumbai Data Challenge: Air Quality Mapping & Forecasting supports participants developing hourly PM2.5 forecasts for Mumbai to inform environmental monitoring and urban planning.
Green Rising Methane Innovation Challenge supports data-science participants in forecasting methane concentrations five days ahead at global monitoring stations to anticipate when and where levels rise.
GenAI for Good Challenge: Cities Edition (Phase 1 Technical Assessment) supports teams developing open-source AI question-answering tools to address transit, energy, and green infrastructure challenges in cities.
AMD Global Physical AI Behavioral Safety Challenge supports teams developing models to forecast human movement and collision risk, helping robots work safely alongside people in shared spaces.
Developing effective air quality planning strategies through innovative multi-scale modelling supports research teams developing models to help public authorities reduce air pollution and protect public health.
MassDEP Air Sensor Grant supports Massachusetts community organizations and municipalities with sensors to monitor outdoor fine particulate matter, build air-quality awareness, and identify mitigation needs.