
AI, Big Data, and the Environment – Part 4: Intelligent Environmentalism
AI’s ability to “know what they don’t know” – to give an uncertainty to every prediction they make, is vital for future environmental predictions.
AI’s ability to “know what they don’t know” – to give an uncertainty to every prediction they make, is vital for future environmental predictions.
Evaluating an industry wide trend, where ICT and communications emissions are too high to ignore.
Cloud computing and training demands data and therefore energy.
A youth-led initiative aiming to better equip marginalized communities in combating, monitoring, and preventing climate change-related illnesses, particularly Neglected Tropical Diseases.
Nature-based solutions (NbS) are ways of working with nature to benefit both people and biodiversity. The Nature-based Solutions Initiative is a small, dedicated team synthesising scientific evidence on how to implement successful NbS.
AIs aid to environmental action is mainly in decision making. Satellite imagery is particularly useful, and its value has found success in environmental services.
The Green Africa Youth Organization (GAYO) is dedicated to providing solutions to pressing environmental issues through research and developing businesses out of environmental challenges.