In the latest episode of Voices of Biocomplexity, Samarth Swarup explains how societal digital twins are changing the way scientists investigate our interconnected world.

In a new episode of Voices of Biocomplexity, researcher Vidya Mani explains why understanding AI requires looking beyond algorithms to the complex networks of technology, infrastructure, and people that make them possible.

What once took researchers a year to build for one metropolitan area can now be accomplished at national scale in just 12 hours. Explore BI's new interactive dashboard and discover how societal digital twins help scientists investigate the complex connections among people, infrastructure, and the environment.

Researchers from Oak Ridge National Laboratory and their CORE University Partners gathered in Charlottesville for the 2026 ORNL AI Core Universities Workshop, exploring how artificial intelligence is transforming scientific discovery. Hosted in partnership with UVA and Virginia Tech, the two-day workshop featured keynote talks, research presentations, panel discussions, and a poster session showcasing 54 research projects.

Richard Stearns helped establish the foundations of computational complexity theory, earning computer science’s highest honor along the way. But at the Biocomplexity Institute, his legacy is also deeply personal. For decades, Stearns remained a mentor, collaborator, and friend, sharing his extraordinary intellect, curiosity, and generosity with generations of researchers and students. Read about the scientist who helped shape a field, and the person whose influence reached far beyond it.

How do we know what flu season will look like before it happens? BI researcher Aniruddha Adiga takes us inside the CDC’s FluSight forecasting network to explore how dozens of models, changing data, and plenty of uncertainty come together to help anticipate what may happen next.

How might artificial intelligence reshape jobs and local economies? New support from UVA’s Digital Technology for Democracy Lab will help Biocomplexity Institute researchers expand the AI Impact Atlas, a decision-support platform designed to help communities prepare for a range of possible workforce futures.

A new Voices of Biocomplexity conversation explores why two very different diseases require different public health strategies and how computational models help researchers prepare for what's next.

We’re talking about a problem that many people may never have heard of, but one with potentially enormous implications for agriculture and food systems: the New World screwworm. 

Voices of Biocomplexity (VoBI) is a conversation series from the University of Virginia's Biocomplexity Institute. Through podcasts, videos, blogs, and panel discussions, we explore how data, modeling, artificial intelligence, network science, and interdisciplinary science help us understand the complex, interconnected systems shaping our world.

We’re excited to welcome Dr. Vidya Mani to the Biocomplexity Institute at UVA as a Research Associate Professor.

During the 2014 Ebola crisis, Biocomplexity Institute researchers developed large-scale simulations that helped evaluate interventions and resource deployment in real time. Today, those same foundations support next-generation digital twins for pandemic preparedness and biological threat response.

On April 8, UVA hosted the German–American Energy Systems Symposium, convening leaders from academia, government, and industry to advance transatlantic collaboration on energy systems, grid resilience, and future technologies including fusion.

A new PNAS Nexus study from the Biocomplexity Institute introduces a scenario-aware AI framework that helps stop complex spread processes before they escalate, from agricultural pests to pandemics.

The University of Virginia has launched a new Research Hubs initiative to strengthen interdisciplinary collaboration and accelerate discovery. The Biocomplexity Institute will lead two hubs focused on Integrated Energy Systems & Communities and Supply Chains & Critical Materials, bringing together researchers across UVA to address complex, real-world challenges.

A new study published in Proceedings of the National Academy of Sciences (PNAS) introduces an integrated modeling framework that connects epidemic dynamics, genomic surveillance, and population immunity, offering a powerful new approach to understanding how emerging variants shape pandemics.

From large-scale biological systems to small-scale machine learning models, Andrew Warren shared how transformative AI is accelerating scientific discovery at a recent Jefferson Society panel. The discussion brought together perspectives from economics and policy to explore AI’s expanding societal impact.

Join the next cohort of C4GC scholars! Applications for the 2026 Computing for Global Challenges summer program are now open, offering undergraduates hands-on research experience tackling global challenges through computing and data science.

The Biocomplexity Institute contributed to a national Brookings study advancing community-led data infrastructure and equitable governance—highlighted as a case study in the final report.

When Srikar Mutnuri volunteered as a mentor for a global climate AI workshop, he didn’t expect to help launch an award-winning project. His collaboration with a Nigerian student turned a community waste optimization pilot into a spotlight presentation and “Best Pathway to Impact” award at NeurIPS 2025.

More than 80 UVA scholars and national experts convened to examine how AI-driven social contagion is reshaping trust, labor, and democratic life. 

A Winter Holiday celebration brought our community together to honor graduating PhD students, welcome University leadership, and reflect on a year of shared accomplishment before the break.

Where are critical mineral supply chains most fragile? AI-driven research from UVA’s Biocomplexity Institute uncovers the hidden dependencies shaping global risk.

Members of the UVA Biocomplexity Institute along with more than 70 researchers, developers, and biologists gathered at Argonne National Laboratory for an intensive three-day push to build AI-driven tools for infectious disease research. Twelve project teams formed, tackled ambitious ideas, and made real progress, proving what’s possible when innovation and collaboration collide.

This fall, five Ph.D. students at UVA’s Biocomplexity Institute crossed a major milestone, defending innovative dissertations that advance the science behind epidemics, AI, disaster resilience, and global mobility.

BI has a new home at the Dairy Market!

What if we could predict the flu before it hits? UVA’s Biocomplexity Institute is doing just that—with cutting-edge AI tools designed to give communities time to prepare.

Four recent research papers from the University of Virginia’s Biocomplexity Institute are making waves in the field of artificial intelligence and remote sensing, with a focus on sustainable agriculture and water resource management.

As part of an ARPA-H initiative, UVA’s Biocomplexity Institute is building the analytical AI-assisted decision support system for healthy buildings to protect against airborne pathogens and allergens.

We work hard, but we also know how to have fun—our latest team-building activity brought out the carving tools and the camaraderie.