Databite No. 110: Claudia Haupt, Rishab Nithyanand, and Matt Jones

Join Data & Society this June for Fellows Talks, a three-part Databite series showcasing our 2017-2018 fellows cohort. Each Wednesday will feature 2-3 fellows speaking about their work, wide-ranging interdisciplinary connections, and a few of the provocative questions that have emerged this year. Our first event in the series includes:

Claudia Haupt on Online Speech Regulation: A Comparative Perspective;

Rishab Nithyanand on Tussling with Privacy on the Internet; and

Matt Jones on Data Science Ethics

WHEN:

3:30pm Doors open.

4-5pm Public talk + Q&A.

5-7pm Reception: food and drink provided.

WHERE: Data & Society, 36 W. 20th St., 11th Floor

RSVP is required to attend.

Data & Society's Databites speaker series is geared toward engaging our network and the broader public on unresolved questions and timely topics of interest to the D&S community.

Questions about Databite No. 110? Contact Data & Society Research Institute.

About the Speakers

Claudia Haupt is a resident fellow with the Information Society Project at Yale Law School. She previously taught at Columbia Law School and George Washington University Law School. Prior to that, she clerked at the Regional Court of Appeals of Cologne and practiced law at the Cologne office of the law firm of Graf von Westphalen, with a focus on information technology law.

Rishab Nithyanand enjoys research geared towards defending anonymity, understanding Internet censorship, measuring aspects of the advertising and tracking ecosystem, and generally understanding the impact of the Internet on the sociopolitical realities of today. In the past, he dabbled in usable security and computer theory. His PhD dissertation focused on building defenses for various attacks on the Tor anonymity network. https://www.rishabn.com/

Matthew L. Jones studies the history of science and technology, focused on early modern Europe and on recent information technologies. He is completing a book on computing and state surveillance of communications, and is working on a historical and ethnographic account of big data, its relation to statistics and machine learning, and its growth as a fundamental new form of technical expertise in commercial, intelligence, and scientific research.

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RSVP for the rest of the series here:

June 20th: Databite No. 111

June 27th: Databite No. 112