OneAquaHealth IEEE Global Hackathon
Join the OneAquaHealth IEEE Global Hackathon 2026 ! A worldwide call to innovators, creators, and problem‑solvers - the IEEE and OneAquaHealth project invite participants from across the globe to co‑create breakthrough solutions for healthier urban freshwater ecosystems. This global hackathon unites AI enthusiasts, environmental thinkers, designers, developers, researchers, and citizen‑science champions to transform real environmental and community data into tools that protect biodiversity, strengthen resilience, and improve human wellbeing. Whether you’re passionate about AI for good, urban water health, biodiversity, climate resilience, or digital innovation, this is your moment to make an impact on a global stage. Build. Collaborate. Innovate - with the world watching. Be part of a global movement shaping smarter, healthier, more sustainable cities. To register for the hackathon, visit: https://oneaquahealth-ieee-hackathon.devpost.com/rules ***Coming Up Next on June 12, 2026: Session 1 - Introducing the OneAquaHealth Project*** Explore the mission, technical tracks, and innovation opportunities behind the IEEE OneAquaHealth Global Hackathon. To register for the webinar, visit: https://www.oneaquahealth.eu/introducing-oneaquahealth-project/
NASA GLOBE Observer Mosquito Habitat Photo Challenge
The Global Learning and Observations to Benefit the Environment (GLOBE) Program invites citizen scientists from around the world to participate in the Mosquito Habitat Photo Challenge. This challenge combines Mosquito Habitat Mapper and Land Cover (two GLOBE Observer app tools) to document mosquito breeding habitats with photos. GLOBE would like you to take photos of mosquito habitats, in either natural or artificial containers. If mosquito larvae are present, you are encouraged to photograph them with a magnifier (optional). Then, we’d like you to take photos of the land around the habitat location using the Land Cover tool. Photos submitted during this challenge will be used to create automated classification programs that can identify mosquito larvae and the environments they prefer. Such computer programs can help prevent outbreaks of mosquito-borne disease