Faculty research often spans multiple domains and is inherently interdisciplinary. Drawing on statistical, computational, and philosophical approaches, our scholars collaborate across a wide range of fields, including biomedical science, engineering, education, business, and imaging, to advance knowledge and drive real-world impact.
Government and Democracy
The UVA School of Data Science leverages data science and AI to support democratic institutions and enhance government services. Researchers develop tools for responsible AI use in public policy, advancing smart cities, digital governance, and civic engagement.
Society and Culture
The UVA School of Data Science uses data science and AI to explore society and culture. Researchers study social networks, cultural trends, and the impact of technology, connecting data science with the humanities to better understand cultural change.
Health and Medicine
Advancing health and medicine with data science and AI is a core priority at the UVA School of Data Science. Researchers collaborate with medical experts to develop predictive models, analyze biomedical data, and tackle health disparities—driving innovation from personalized care to public health.
Environment and Nature
The UVA School of Data Science applies data science and AI to tackle environmental and sustainability challenges. Researchers model climate impacts, monitor ecosystems, and study the digital world’s environmental footprint. The School’s energy-efficient building reflects its commitment to sustainable innovation.
Business and Markets
The UVA School of Data Science drives innovation and ethical leadership in the digital economy. Researchers develop data-driven solutions for market analysis, finance, and operations, while exploring the ethics of emerging technologies. This work includes collaborations with industry leaders like Capital One and UVA’s LaCross Institute for Ethical AI in Business.