About Research Interest Groups (RIGs)
In the fall of 2024, the UVA Environmental Institute organized Research Interest Groups (RIGs) to address emerging national priorities and growing societal demand for solutions to specific climate-related and resilience challenges.
RIGs are faculty-led communities designed to accelerate interdisciplinary, high-impact environmental research by convening researchers around strategic themes, emerging opportunities, and collaborative problem-solving.
The 2026-2027 Research Interest Groups (RIGs) are:
AI + Environment
RIG Faculty Fellows include: Antonios Mamalakis
Focused on the intersection of climate science and artificial intelligence, this group explores how AI can drive data-informed, equitable climate solutions. Researchers from diverse fields explore research priorities including how best to leverage AI to drive data-informed, equitable climate solutions, and understanding and mitigating AI’s environmental impacts. This RIG is co-sponsored by the School of Data Science.
Extreme Events
RIG Faculty Fellows include: Huilin Huang
This RIG focuses on projects in both the prediction of extreme events and the strategies to lower risk and increase resilience. Topics can include increased flooding, wildfires, more intense storms, temperature extremes, and more.
Energy + Infrastructure
RIG Faculty Fellows include: Negin Alemazkoor
This group convenes experts dedicated to reducing carbon emissions across sectors. It covers a broad range of topics including renewable energy technologies, nature-based solutions, bioeconomy and low-carbon materials, negative emissions strategies, sustainable infrastructure, and behavioral change for climate action.
RIGs Sub-themes
RIGs were created to be broad and adaptive. Within each RIG, UVA faculty are encouraged to champion specific sub-themes that reflect UVA’s strengths, emerging research directions, and opportunities for external partnership and funding.
Examples of potential sub-themes include:
- Explainable AI (xAI) for environmental decision-making
- Forecasting and community decision-support systems
- AI, energy, and environmental protection
- Grid resilience and distributed energy systems
- Wildfire risk and community adaptation
- Flood forecasting and emergency response