Growing a network to leverage the wealth of data for challenges in the environmental sciences.

The Environmental Data Science Innovation & Inclusion Lab (ESIIL) is a NSF-funded data synthesis center led by the University of Colorado Boulder in collaboration with NSF’s CyVerse at the University of Arizona and the University of Oslo. ESIIL enables a global community of environmental data scientists to leverage the wealth of environmental data and emerging analytics to develop science-based solutions to solve  challenges in biology and other environmental sciences. ESIIL holds collaboration as a core principle and method for advancing innovative solutions using environmental data science.

ESIIL’s research community generates discoveries and novel approaches through: 1) cutting-edge team science, 2) innovative tools and collaborative cyberinfrastructure, 3) data science education and training, and 4) growing the network of data scientists. These activities advance the frontier of environmental data science, a rapidly evolving discipline bridging the computational, biological, environmental, and social sciences. 

This work is funded by the National Science Foundation (NSF Award Number DBI-2153040).