Home

The Information Society Project at Yale Law School is an intellectual center addressing the implications of the Internet and new information technologies for law and society, guided by the values of democracy, development, and civil liberties. The ISP's work includes copyright, media law and policy, transparency, and privacy.

Upcoming Events

Thomson Reuters Speaker Series: Dava Casoni

Date: 
Wednesday, April 1, 2015 - 12:00pm

Higher Education: A Legal Perspective

Abstract: After spending over a decade following the standard post-law school career track (federal clerkship followed by global and boutique law firms) I was introduced to the legal issues that impact academia when I accepted the role of Contracts and Compliance Advisor for the University of Southern California Institute for Creative Technologies (ICT), a University Affiliated Research Center sponsored by the U.S. Army. Akin to a general counsel position, I am called upon to address issues on topics ranging from intellectual property, to real estate, to government contracts, to International Traffic in Arms Regulations and more. In this talk, I will explain complexities behind the most common legal issues I routinely address (intellectual property and export controls) and will provide insight into the career opportunities available for lawyers in academia. For background reading, please visit https://www.pmddtc.state.gov/dtag/ and download the “Fundamental Research” presentation and white paper which is found under DTAG Activity 2013: May 9, 2013.

Thomson Reuters Speaker Series: Kate Crawford

Date: 
Tuesday, April 7, 2015 - 12:00pm

The Partial Witness: Big Data and Bodies of Evidence

Abstract: From self-tracking bands like the FitBit to the mobile phone, personal devices gather data about us and give us new kinds of insight. But that data can also be used in a range of unexpected contexts feeding into already asymmetrical relations of power: with device makers, employers, insurers or in court cases. This talk will consider how the turn to big data raises complex questions about epistemology, human tracking, and how data seek to represent us.