Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

A paradigm shift towards integrating socioecological equity into environmental data science and machine learning (ML) is advocated in a new perspective article (DOI: 10.1007/s11783-024-1825-2) ...

Climate change, pollution, environmental degradation and resource depletion are just a few of the greatest challenges facing the world in the 21st century. Tackling these challenges means carrying out ...

A new Special Report published in the journal BioScience warns that long-term ecological and evolutionary research faces ...

Dylan Carlson Sirvent León was working in his office at Harvard University when he began receiving frantic messages from his research colleagues. Environmental data was starting to disappear from ...

Environmental scientists are gathering new data about our planet every day. It’s often sampled or collected from land stewarded by Indigenous people, and a new study out of Dartmouth College examines ...

Researchers have developed a self-powered 'bug' that can skim across the water, and they hope it will revolutionize aquatic robotics. Researchers at Binghamton University, State University of New York ...

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Article ‘Count’ and ‘Share’ for Centre of Excellence in Environmental Data Science (CEEDS) based on listed parameters only. The articles listed below published by authors from Centre of Excellence in ...

Expertise in environmental science is increasingly valuable to understand and address critical issues like a rapidly changing climate, biodiversity loss, and human health, empowering individuals and ...