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Capital One and the University of Virginia School of Engineering and Applied Science today announced a transformative $4.5 million partnership to establish the Capital One AI Research Neighborhood and…

Associate Professor Xi Yang and Ph.D. researcher Henry Yeung used AI and satellite data to map nearly six million dead trees along the U.S. Atlantic coast — work featured in Science for its groundbrea…

At the University of Virginia’s College of Arts & Sciences, psychologist Hudson Golino is reshaping how researchers interpret artificial intelligence and how students learn to build it responsibly

Opening in 2027, the Karsh Institute’s new building will be a hub for research, collaboration, and public engagement around democracy.

Explore key Karsh Institute projects that study and strengthen democracy, from local journalism to global ideals and civic dialogue.

Chang Lou, assistant professor of computer science, discusses the importance of cloud reliability for modern financial, healthcare, and other systems.

A team of aerospace engineering students collaborated on a prize-winning concept for an unpowered hypersonic aircraft capable of flying at speeds up to Mach 8, or about 6,000 mph.

Steve Huffman took questions from students for over an hour about his experiences starting and running Reddit. Many were about artificial intelligence.

M.S. in Data Science students used their final project in an introductory machine learning course to explore the Golden Ratio and machine bias.

UVA’s four-peat at the Mid-Atlantic Collegiate Cyber Defense Competition marks the event’s longest win streak and sends the team back to fight for a national title.

The UVA Environmental Institute, co-led by civil and environmental professor Andrés Clarens, has launched a new digital hub to help Virginia get to net-zero carbon emissions by 2050.

Engineering faculty form cross-University collaborations for outside-the-box science projects with seed funding from UVA program.

Matthew Bolton, associate professor of systems and information engineering, discusses his research into why engineered systems fail, and how to prevent failures.

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Steven Johnson, DTD Lab faculty co-lead, co-authored a new paper that he hopes will contribute to the emerging scholarship on the understanding of platform-enabled delegation of social relationship ma…

Mona Sloane, DTD Lab faculty co-lead, argues in a new co-authored pre-print, that today’s AI landscape looks a lot like past infrastructure booms—and that this moment is an opportunity to realign it w…

Lana Swartz, DTD Lab seed grant recipient, launched a new report revealing the emergence of a participatory, yet precarious ecosystem in which financial products are woven into everyday digital cultur…

A new pre-print, co-authored by Mona Sloane, DTD Lab faculty co-lead, shows how the more-is-better approach to hoarding context data in AI systems falls short for those who use AI tools in their areas…