Environmental Impacts of Data Science Special Interest Group at the eScience Institute
The computational activities of data science draw on cyberinfrastructure systems that are built, powered, and maintained using renewable and carbon-based energy sources and other natural resources. The externalized impacts that result are influenced by many factors, from data center design to AI modeling trends and cloud data storage policies. 

The Environmental Impacts of Data Science Special Interest Group at the University of Washington's eScience Institute is an interdisciplinary group that explores ways to incorporate sustainability principles into data, computer and information sciences, for practitioners and educators. 

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