Machine Learning

Creating the Planet’s Digital Ecosystem

How Radiant MLHub Contributes to Global Action Towards a Sustainable Earth – In The Promise and Peril of a Digital Ecosystem for the Planet, authors Jillian Campbell and David Jensen from the United Nations Environment Programme (UNEP) published an urgent call for action to the world: Create a shared vision that leverages new technologies to manage humanity’s footprints or risk perishing as a consequence of the climate and nature crises. The authors expand on the discussion paperThe Case for a Digital Ecosystem for the Environment: Bringing together data, algorithms, and insights for sustainable development, which was authored through a participatory process led by the UN Science Policy-Business Forum.

Machine Learning

Refocusing Radiant Earth Foundation’s Efforts to Impact Global Development with Machine Learning

Data drives decisions. Whether it’s the number on a scale signaling the need to diet or a satellite image showing the extent of flooding for disaster response, data, imagery, and the resulting analyses they enable guide valuable insights and actions.

Radiant Earth Foundation was founded on the premise that much of the world’s best data and imagery was difficult to find and even more difficult to use because of access issues, making these valuable assets stranded and underutilized.