The University of Maryland’s Tech Policy Hub studies tech policy from a socio‑technical perspective, building the bridge between computer science & public policy to understand how policy is designed and implemented for, by, and with tech. Our hub spans the forefront of tech policy across four research areas, bringing together DMV‑based practitioners, scholars, and civil activists to shape the future of technology in society.
Interested in becoming affiliated with us? Please email our founder, Dr. Sivan‑Sevilla, to discuss further.
Measuring attack surface, risk, and resilience across governments, critical infrastructure, and the private sector.
02Studying how privacy law is designed, enforced, and experienced -- formalizing and computationally monitoring data collection and use in a data capitalist economy.
03Tracking misinformation, platform transparency, and the policies that shape what people see and trust online.
04Examining algorithmic accountability, AI governance, and the standards needed for AI deployments the public can trust.
Cybersecurity
Trustworthy AI
Cybersecurity
Cybersecurity
Consumer PrivacyA framework connecting token-level technical costs to economic value and market design in foundation model services.
A policy brief demonstrating the use of large language models to identify discriminatory provisions in local legal codes across 9,623 U.S. jurisdictions.
Federal statutory provision defining fair use doctrine and establishing four-factor test for determining non-infringing uses of copyrighted works.
An analysis of the empirical effects of personalized pricing on consumers and competition, examining regulatory proposals and market contexts.
AI agent token consumption is accelerating at 5-14x the rate of human usage, driven primarily by cached prompt reuse, creating mounting pressure on memory infrastructure and exacerbating hardware supply constraints.
Comprehensive tracking of China's evolving approach to AI safety governance across domestic policy, international coordination, technical research, and industry regulation.
How do we deal with the social problems of computing through top-down and bottom-up policymaking & implementation?
What can we learn from the history of policymaking across technology issues?
What can we learn about tech policy from a comparative perspective? Across sectors? Across jurisdictions?
How and by whom tech policy issues enter the political agenda?
How does the efficacy of tech policies can be assessed and evaluated?
What are the politics of tech policy design?
How can we use crowdsourcing to improve tech policies?
How can we teach tech policy through an experiential learning perspective?
