BIU LawData LAB

BIU LawData LAB

BIU Innovation Lab for Law, Data-Science and Data Governance

Head: Ittai Bar-Siman-Tov

Steering Committee: Ittai Bar-Siman-Tov, Miriam Bitton, Oren Perez, Ayelet Sela

About

BIU Innovation Lab for Law, Data-Science and Data Governance seeks to explore questions at the forefront of legal research and practice using a wide range of data-science methods. It takes a new approach to legal research which brings together theory-driven and policy-driven research that contributes to evidence-based policy making. Research at the Lab focuses on two primary tracks: (1) data-driven research using various data-science methods (e.g., ML, NLP, social network analysis); (2) normative and ethical analysis focusing on legal and regulatory aspects of big data and data analytics and on ensuring proper data governance.

The lab is based on a collaboration between researchers in the BIU faculty of law, the BIU Data Science Institute and in other affiliated BIU departments, as well as on work with partners from technology companies and other industry and government actors.

In the theory-driven research track the lab currently hosts more than 20 on-going studies, which include projects using natural language processing tools, network analysis, machine learning and other AI models, as well as cryptography.

In the policy-driven track the lab collaborates with several governmental ministries, regulatory agencies and municipalities with the goal of finding solutions to practical problems and policy challenges.

 

Affiliated researchers

Legal Scholars:

Michal Alberstein

Adi Ayal

Ittai Bar-Siman-Tov

Miriam Bitton

Yuval Feldman

Yotam Kaplan

Oren Perez

Ayelet Sela

Data Scientists:

Reuven Cohen

Oren Glickman

Inbal Yahav

Dudy Sarne

Jonathan Schler

David Gabay

PhD students

Ofir Stegmann

 Keren Horwitz

Sharon Avigad

 

Recent Projects

  • Ethical Risks in Digital Devices: A Data-Science Approach (MOST Grant). Ittai Bar-Siman-Tov, Ayelet Sela & Inbal Yahav
  • Making Sense of Mobile App Privacy Policies: An Unsupervised Machine Learning Approach. Ittai Bar-Siman-Tov, David Sarne,  Jonathan Schler, Ayelet Sela, Alon Singer
  • Using Data Science to Explore the Constitutional Dialogue between Courts and Legislatures. Ittai Bar-Siman-Tov
  • Networks and the law. Oren Perez, Reuven Cohen, Ofir Stegmann
  • Big Data and the Regulation of Ordinary Unethicality. Yuval Feldman & Yotam Kaplan
  • The Gender Gap in Patenting: Analysis of Global Patents Databases. Miriam Marcowitz-Bitton, Daniel Benoliel, Ruth Halperin Kaddari
  • Promoting Small Businesses? Credit Reforms in Israel and the Biases They Create. Adi Ayal, Roy Gelbard, Onn Shehory
  • Post and Trauma: The Use of Social Media by Sexual Assault Victims. Hadar Dancig-Rosenberg
  • Vanishing Trials, Settlement Judges? Data on Judges’ Procedural Involvement in Civil Litigation Shed Light on their Role in Israeli Trial Courts. Ayelet Sela & Limor Gabay-Egozi
  • Why Judges Cite the Constitution? A Mixed-Method Analysis of Constitutional Talk in Lower Court Opinions. Ori Aronson
  • Blockchain: the Future of Intellectual Property Registries. Miriam Marcowitz-Bitton, Lital Helman
  • Personalized Law: Using Information from Previous Proceedings. Benjamin Shmueli

 

 

Recent Publications

  • Perez, Oren, Reuven Cohen, and Nir Schreiber. "Governance through Global Networks and Corporate Signaling." Regulation & Governance 0, no. 0 (2018). https://ssrn.com/abstract=3265793
  • Perez, Oren, and Ofir Stegmann. "Transnational Networked Constitutionalism." Journal of Law and Society 45, no. S1 (2018/07/01 2018): S135-S62.  
  • Perez, Oren, Bar-Ilan, Judit, Cohen, Reuven and Schreiber, Nir, The Network of Law Reviews: Citation Cartels, Scientific Communities, and Journal Rankings (August 31, 2018). Modern Law Review, Forthcoming 2018/2019. Available at SSRN: https://ssrn.com/abstract=3242052
  • Ayelet Sela, “Can Computers Be Fair? How Automated and Human-Powered Online Dispute Resolution Affect Procedural Justice in Mediation and Arbitration”, 33 Ohio state journal on Dispute Resolution (Forthcoming, 2018).
  • Ayelet Sela, “The Effect of Online Technologies on Dispute Resolution System Design: Antecedents, Current Trends and Future Directions”, 21 Lewis & Clark Law Review 635 (2017).
  • Ayelet Sela, “Streamlining Justice: How Online Courts Can Resolve the Challenges of Pro Se Litigation”, 26 Cornell Journal of Law and Public Policy 331 (2016).
  • Alon Singer, David Sarne, Jonathan Schler, Ayelet Sela, Ittai Bar-Siman-Tov, Unsupervised Topic Extraction from Privacy Policies (accepted to FATES in the Web 2019).
  • Yuval Feldman & Yotam Kaplan, Bounded ethicality and big data

Recent Grants

Ministry of Science and Technology Research Grant (2018-2021) - “Ethical Risks in Digital Devices: A Data-Science Approach” (Ittai Bar-Siman-Tov, Ayelet Sela & Inbal Yahav) .

Courses

  • Dr. Ayelet Sele - Law and Technology Advanced Workshop:

This workshop deals with the interface between law and technology. The first meetings of the workshop are dedicated to building a theoretical infrastructure for dealing with this subject, presenting the main research approaches to analyzing the intersection between technology, law and society. We discuss the ways in which law and technology shape and regulate each other, as well as human behavior in the age of information technology. We also discuss changes in the legal profession following the development of legal technologies. Throughout the workshop we host guest speakers who present innovative issues, challenges and opportunities in this field. Guest speakers include researchers from Israel and abroad, legal advisors of technology companies, jurists from relevant regulatory bodies (such as the Privacy Protection Authority or the National Cyber Network), as well as lawyers dealing with these issues in private practice.

  • Dr. Ayelet Sela -An International Perspective on Law and Technology:

This course presents issues and dilemmas involving the interface between law and information technologies, using case studies from around the globe. We examine how technological developments affect the law, and how the law affects and regulates technology. Issues treated include predictive policing and risk assessment, smart cities, automated legal text analysis and production, decision support systems, social ranking and personalized law.

  • Dr. Yair Even-Zohar – Data Science for Lawyers

The world of law creates an abundance of data and information: laws, regulations, judgments, bills, reports, treaties, contracts, articles, opinions, criminal penalties, compensation decisions, court case management and many other types of information. Jurists have always had to deal with the collection, scanning, processing and analysis of large amounts of such information, but in the digital age the scope of information they need to relate to has increased significantly. Therefore, in recent years the use of data processing and analysis technologies from the field of data science has increased in the legal world as well. Data science combines elements of mathematics, statistics, computer science, and expertise in a particular field of knowledge to extract meaningful information from a wide range of available data. With the increasing use of these tools in legal practice, as well as among those seeking legal advice on issues involving data science (such as technology companies or government offices), the necessity of this knowledge in legal practice also increases. The purpose of this course, which is specifically designed for law students, is to teach students basic concepts and methods from the world of data science, as well as to give them practical knowledge and experience in tools relevant to their work as lawyers. The course emphasizes modern, practical and useful skills covering a variety of machine learning methods and natural language processing. It covers the full data analysis spectrum, from finding the relevant question to the knowledge and tools needed for acquiring, managing, manipulating, processing, querying, analyzing, and visualizing data, as well communicating findings in writing and verbally. The course does not require programming knowledge, but in the end students will be able to understand the terminology and methodology of data science as well as perform basic information analyses.

Lecturer: Dr. Yair Even-Zohar - Doctor of Computer Science specializing in artificial intelligence and natural language analysis

Events:

·Data Science for Legislation Studies (Methodological Workshop) talk by Oren Glickman

January 3 @ 1:00 pm - 3:30 pm IST at The Benin Faculty of Law building 306, Hall 200, 2nd floor

·Relational Private Law and Network Theory

January 2 @ 2:00 pm - 4:00 pm IST at Building 504 (Economic Studies), Conferences Room, Ground Floor

Data Science Environmental Applications – Government and Academia workshop

October 23, 2018 @ 9:00 am - 5:00 pm IDT at Nanotechnology Triplex

·Law & Big Data

May 14, 2018 - May 15, 2018 at Faculty of Law Building 306, room 200

·Elasticsearch and Kibana Hands-on Workshop for Law

February 26, 2018 @ 1:00 pm - 3:00 pm UTC+0 at Faculty of Law Building 306, room 200

·Law and Networks

January 28, 2018 @ 3:45 pm - 5:15 pm UTC+2 at Faculty of Law Building 306, room 200