In this episode of Good Disruption, UVA Professor Jack Van Horn joins hosts Yael Grushka-Cockayne and Mike Lenox to explore brain-computer interfaces, a rapidly advancing neurotechnology that translates brain signals into action. From restoring movement and communication to bypassing damaged neural pathways, BCIs hold remarkable promise — alongside significant challenges — as the field moves from science fiction to reality.
Deloitte-funded research opportunities are giving UVA BSDS students experience tackling real problems, from healthcare to street safety to 3D generative models.
Outbreaks, misinformation, and what network science says we should do to stop the next pandemic: A Q&A with UVA Data Science Professor YY Ahn.
A $20,000 Google grant will help UVA’s Chirag Agarwal test whether AI agents’ explanations can be trusted to catch dangerous behavior.
UVA researchers introduce SNIFF, a practical framework to help scientists evaluate research software, improving reproducibility, security, and trust in science.
Hannah Bako is an Assistant Professor at UVA’s School of Data Science, where she studies how people create and make sense of data through charts, graphics, and interactive visuals with the goal of making data more understandable for everyone.
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Mark Conaway, PhD, professor of in the Department of Public Health Sciences, and UVA Researchers have been awarded a four-year, $1.95 million NIH R01 grant to investigate two significant clinical questions: 1) how should ELISpot assay data be used in early phase clinical trials to identify potentially effective therapies and 2) can ELISpot assay data predict longer term clinical benefit.
Voices of Biocomplexity (VoBI) brings together researchers, students, and collaborators to explore the ideas, discoveries, and real-world challenges that define the Institute’s work. The inaugural episode, “The Supercomputer I Didn’t Understand,” was inspired by a news article about China’s announcement of a CPU-based supercomputer.
When Ebola swept through West Africa in 2014, public health officials faced a difficult challenge: decisions had to be made quickly, often with incomplete information and rapidly changing conditions on the ground.
Researchers at the Biocomplexity Institute were among the teams called upon to help.
A joint paper by Medhasweta Sen, Tom Hartvigsen, and Capital One researchers about time series data was selected for the prestigious ICML Conference in Seoul.
A new measure called EDM uses AI to more reliably identify scientific breakthroughs, fixing a key blind spot with existing citation-based tools.
Antonios Mamalakis published a new paper exploring how AI could eventually help communities better prepare for extreme events driven by climate change.