Elana Zeide

Privacy Research Fellow, Information Law Institute, New York University

Elana Zeide is an attorney, consultant, and scholar focusing on student privacy, data-driven education, and algorithmic assessment and credentialing. She is a Research Fellow at New York University’s Information Law Institute, an Affiliate of the Data & Society Research Institute, and an Advisory Board member of the Future of Privacy Forum and iKeepSafe. She writes for both popular and academic publications, recently including “Algorithms Can Be Lousy Fortunetellers” on Slate, “Moving Beyond FERPA and FIPPs: Student Privacy Principles for the Age of Big Data” forthcoming in the Drexel Law Review, and “Unpacking Student Privacy” in the upcoming Handbook of Learning Analytics & Educational Data Mining.

@elanazeide  
http://www.elanazeide.com/  

Projects

 

Journal Articles and Papers

Primers

Op-eds and Blog Posts

Testimony, Interviews, Presentations

Related Events

  • 04.24.18  |  Digital Life Seminar Series

  • 06.01.17  |  Privacy Law Scholars Conference 2017

  • 03.24.17  |  Predictive Analytics, Law, and Policy: Mapping the terrain

  • 03.07.17  |  SXSW Postsecondary Privacy – Student Data Analytics

  • 03.07.17  |  SXSW Postsecondary Privacy – Student Data Analytics

  • 12.09.16  |  Data & Society Workshop: Eclectic

  • 10.18.16  |  Ethical Use of Big Data in Education: The Promise and Perils of Personalized Learning and the Rise of “Algorithmic Credentialing”

  • 06.27.16  |  Seeing the Big Picture on Student Data Privacy at 2016 ALA Annual Conference

  • 06.02.16  |  9th Annual Privacy Law Scholars Conference

  • 04.07.16  |  Enabling Connected Learning Workshop on Personalized Learning

  • 03.09.16  |  The Accidental Consequences of Data Privacy Laws

  • 03.04.16  |  Technology, Privacy, and the Future of Education

  • 01.21.16  |  Databite No. 66: Elana Zeide

  • 01.14.16  |  PrivacyCon

  • 09.21.15  |  The potential risks of student data collection and use

  • 02.28.15  |  Algorithms and Accountability

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