Prof. Tal Zarsky, Vice Dean

טל ז'רסקי

Prof. Tal Zarsky is a Professor of Law at the University of Haifa’s Faculty of Law. His research focuses on Information Privacy, Cyber-Security, Internet Policy, Social Networks, Telecommunications Law, Online Commerce, Reputation and Trust. He published numerous articles and book chapters in the U.S., Europe and Israel. His work is often cited in a variety of contexts related to law in the digital age.

Among others, he participated in the Data Mining without Discrimination project, funded by the Dutch Research Council (NWO) as well as other national and international research projects. He has advised various Israeli regulators, legislators and commercial entities on related matters. He severed on a variety of advisory boards and is a frequent evaluator of articles and research grants for various international foundations.

Prof. Zarsky was a Fellow at the Information Society Project, at Yale Law School and a Global Hauser Fellow, at NYU Law School. He completed his doctorate dissertation, which focused on Data Mining in the Internet Society, at Columbia University School of Law. He earned a joint B.A. degree (law and psychology) at the Hebrew University with high honors and his master degree (in law) from Columbia University.

J.S.D, Columbia University – School of Law, 2004

·  LL.M,  Columbia University – School of Law, 2001

·  LL.B/B.A, Law & Psychology summa cum laude, Hebrew University of Jerusalem, 2000

Specialization

·  Property

·  Cyberlaw

·  Information Privacy

·  Telecommunication Law and Policy

Articles

Books
Chapters in Books
  • Correlation vs. Causation in Health-Related Big Data Analysis: The Role of Reason and Regulation, in Glenn Cohen, et. al., Big Data, Health Law, and Bioethics, 42-55(Cambridge University Press, 2018).
  • The Data Mining Balancing Act, in European Data Protection: in Good Health? (Serge Gutwirth, et al. eds., Springer 2012).
  • The Way Forward, in Tal Zarsky, et al., Data Mining without Discrimination (Springer, 2012) (With Bart Custers, Toon Calders, Bart Schermer).
  • Transparency in Data Mining: From Theory to Practice, in Tal Zarsky, et al., Data Mining without Discrimination (Springer, 2012).
  • Data Mining as Search: Theoretical Insights and Policy Responses, inTal Zarsky, et al., Data Mining without Discrimination (Springer, 2012).
  • Data Mining as Search: Theoretical Insights and Policy Responses, inTal Zarsky, et al., Data Mining without Discrimination (Springer, 2012).
  • Responding to the Inevitable Outcomes of Profiling – Recent Lessons from the Consumer Financial Markets, and Beyond in Data Protection in a Profiled Worlds, Data Protection in a Profiled World (Serge Gutwirth, Yves Poullet and Paul De Hert, eds., Springer, 2010).
  • Privacy and Data Collection in Virtual Worlds, in State of Play (Jack M. Balkin and Beth S. Noveck eds., NYU Press 2005).
  • Online Privacy, Tailoring and Persuasion, in Privacy and Identity: The Promise and Perils of a Technological Age (Katherine J. Strandburg and Daniela Stan Raicu, eds., Kluwer Publishing 2005).
Others

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