Compared with many major industries, the environmental footprint of AI data centers is still relatively small.

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

Cornerstone, the sustainability data initiative, is expanding its model coverage to include data for scopes 1, 2, and 3, starting with the addition of the GHG Emission Factors Hub (the Hub), one of ...

Innovative approaches to environmental communication are needed to transcend existing scientific knowledge, challenge individual value-action gaps, and engage more people in science. Within a ...

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 ...

Explore data-driven sustainability solutions. Emerging technologies in ecological and environmental data collection have created a growing need for skilled professionals who can interpret field data ...

Rapid urbanization has been posing new sustainability challenges to planners, engineers, scientists, and citizens in a climate change era. Hyperlocal environmental data are desirable for academics and ...

Forbes contributors publish independent expert analyses and insights. Monica Sanders covers climate justice and sustainability from the DMV. In a quiet but urgent race against time, groups of ...

Posts from this topic will be added to your daily email digest and your homepage feed. Trump’s second term in office could pose a bigger risk to information about climate change and pollution on ...

New national center at CU Boulder will tackle pressing socio-environmental challenges with big data analytics and more The National Science Foundation (NSF) has funded a major new data science and ...