The Digital Technology for Democracy Lab is a collaboration across the University of Virginia that explores how rapidly evolving digital technologies can challenge, but might also fortify, democratic institutions and practices.
The Digital Technology for Democracy Lab is a collaboration across the University of Virginia that explores how rapidly evolving digital technologies can challenge, but might also fortify, democratic institutions and practices.
Wednesday, September 30, 2026 • 7:00 PM – 8:15 PM EDT
Online
Tuesday, October 20, 2026 • 12:00 PM – 1:00 PM EDT
Bond House, 600 Brandon Avenue, Charlottesville, VA
Friday, November 13, 2026 • 2:00 PM – 4:00 PM EDT
Shannon Library, 160 McCormick Rd., Seminar Room 330
AI Impact Atlas
Subterranean Convergence
Open-Source AI as Democratic Infrastructure
AI Shock
Automated Futures
Multimodal Climate AI
Data in the Dark
Automation’s Ecologies
Visual Misinformation
AI & the Environment
Student Technology Council
Technology & Disinformation
Social Contagions
Gender & Tech
Co-Opting AI
Urban Digital Twins
Technology & Democracy Exchange
Data Center Policies
Descendant-Led Digital Humanities Lab & Network
Cryptocurrency & Democracy
Cryptocurrency & Democracy
A report co-authored by DTD Lab postdoc, Cella Sum, shows that data centers are a lightning rod issue for broad, diverse communities that desire both prosperity and power. Meanwhile, for powerful corporations, data centers represent an Achilles heel. A detailed exploration of how technology is impacting people's lives, this report reveals the limits of AI’s supposed inevitability within Pennsylvania’s borders and beyond them.
The Student Technology Council (STC) led by DTD Lab faculty co-lead, Mona Sloane and managed by RA Claire Bassett, held their fall retreat at the DTD Lab. The inaugural chair said she hopes to establish the STC as an additional Student Council branch to give students a larger role in shaping technology policy.
Jess Reia, DTD Lab faculty co-lead, has published a new open access paper, in which they ask whether algorithms can understand or shape the urban night. In the paper, Jess shows how the opacities and refusals of nocturnal life expose the limits of machine learning while making the case for expanding what counts as data in our cities.
Join our vibrant lab and help us explore the intersection of digital technology and democracy.
Current OpportunitiesMake a gift to support the Lab's interdisciplinary research, initiatives, and activities