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 -- from cookie-less tracking to watchdog accountability.
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 machine learning the public can trust.
A framework connecting token-level technical costs to economic value and market design in foundation model services.
New Jersey Governor signs the Fair Price Protection Act, enabling consumers to directly enforce rights against personalized pricing in grocery sales.
Analysis of the Alabama State Bar's updated guidance on ethical AI use and its implications for legal practice and organizational risk management.
An argument for minimum conditions that federal AI legislation must satisfy to protect the public interest while enabling innovation.
A Supreme Court decision requiring warrants for location data access has broader implications for how companies handle sensitive consumer information and comply with government demands.
Comprehensive tracking of China's evolving approach to AI safety governance across domestic policy, international coordination, technical research, and industry regulation.
A monthly briefing on developments at the intersection of technology, law, and policy.