Center for Information Technology Policy
CITP Seminar: It Takes Two to Tango: Cooperative Edge-to-Edge Routing
In their unrelenting quest for lower latency, cloud providers are deploying servers closer to their customers and enterprises are adopting paid Network-as-a-Service (NaaS) offerings with performance guarantees.
CITP Seminar: Human Bias and Social Algorithms
While the failures of industrial-scale algorithms are often attributed to some failure of machine learning engineering, many of these failures actually stem from something else entirely: the human beings whose behavior generates the data used to build these algorithms.
CITP Special Event: The Future of Global Digital Governance
Join us in person for this panel discussion on the future of global digital governance. This event is open to the public, please register here.
CITP Special Event: Eszter Hargittai Book Discussion - Connected in Isolation: Digital Privilege in Unsettled Times
Join us for a discussion regarding Connected in Isolation: Digital Privilege in Unsettled Times by Eszter Hargittai, CITP Visiting Research Scholar.
CITP Seminar: Lessons From the Edge: What Rural Connectivity Teaches Us About Next-Generation Networks
Despite significant increases in availability of Internet connectivity globally, hundreds of millions of people today are unable to access the Internet, the consequences of which have come into sharp focus in recent years.
CITP Seminar: Author of Proving Ground: The Untold Story of the Six Women Who Programmed the World’s First Modern Computer
During World War II, the Army hired women to hand-calculate ballistics trajectories for artillery firing tables. But these differential calculus equations took over 2 dozen hours by hand, and the Army needed thousands of them.
CITP Seminar: The Black Box of Information Access: Measuring People’s Algorithm Skills
While we know that algorithms are an increasingly important part of what information people encounter in everyday life, little work has focused on studying users’ awareness and understanding of how algorithms may influence what they see and do.