Environment and Nature

The School of Data Science leverages data analytics and AI to address environmental and sustainability challenges. Research includes modeling climate change impacts, monitoring ecosystems, and studying the environmental footprint of digital infrastructure. The School’s commitment to sustainability is reflected in both its research initiatives and the design of its own facilities. Our building serves as a model of energy efficiency and environmental stewardship.

Publications

Long term predictability of Southern Ocean surface nutrients using explainable neural networks

An Interpretable Neural Network for Vegetation Phenotyping with Visualization of Trait-Based Spectral Features

Policy Benchmarks for Digital Transformation of People-Centered Cities

Research Interest Group: Environment and Data

This RIG focuses on the applications of data science to environmental problems, as well as the environmental impacts of data technologies (on water, energy consumption, climate change, etc.). It is co-sponsored with UVA's Environmental Institute.