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Conference Legal Aspects of Data Science

17-18 May 2018
Tilburg University

Introduction

The exponential growth of data science constitutes one of the most important challenges of recent years both in Europe and around the world. More than a savvy concept that rings of robotics, artificial intelligence and other terms that for long were regarded as part of science-fiction, data science has started to become structurally embedded in scientific research. Data, meaning personal data as well as information in the form of digital files, has become available at such a large scale that it can lead to an expansion of knowledge through smart combinations and use of data facilitated by new technologies. For law and legal research the rise of data science is important for two reasons.

First, data science gives rise to many legal issues which have not yet been fully investigated. These developments necessitate a thorough examination of the extent to which data-driven technologies require regulation.

Secondly, data science methods can be applied to law as a discipline. The question is: how to do this? What are the risks and opportunities involved? Can we learn from data science in other disciplines? Are there idiosyncrasies in law that require particular care?

The conference aims to explore these issues through panel discussions with leading experts in the emerging field of data science and law.

The conference is a flagship event for the Data Science and Law Research Network, a joint project between Tilburg University, the University of Osnabrück and the Jagiellonian University in Kraków. It aims to launch research collaboration between leading experts and younger, upcoming scholars conducting research on comparative law, regulation, technology, and issues related to the data society in which we live. It also aims to include practicing lawyers and other professionals with an interest in the legal aspects of data science. The conference intends to facilitate an exchange of expertise and establish a shared research agenda in the longer term.

Program First Day - 17 May

  • 09:15-09:45 Registration
  • 10:00-10:05 Opening
    Room CZ 010
  • 10:05-10:45 Keynote
    Room CZ 010
    • Prof. dr. Florence G’sell, (Université de Lorraine)
      Data Science for Decision Support: Legal Issues
  • 11:00-12:30 Panels 1 & 2 (parallel panels)

    • Panel 1 - Private Law
      Room CZ 007
      • Prof. dr. Vanessa Mak (Tilburg University)
        Contract and Consumer Law
        Dr. Joasia Luzak (University of Exeter)
        Behavioural data-driven policymaking: status quo bias, choice paradox or…?
      • Dr. Katarzyna Kryla-Cudna (Tilburg University)
        Consumer Contracts and the Internet of Things
      • Prof. dr. Eleni Kosta (Tilburg University)
        Discussant
    • Panel 2 - Criminal Law & Security
      Room CZ 112
      • Prof. dr. David S. Wall & Dr. Maria Grazia Porcedda  (University of Leeds)
        Data Crimes
      • Helena Ursic (Leiden University),
      • Ruslan Nurullaev (National Research University Higher School of Economics, Moscow),
      • Paweł Szulewski (University of Wroclaw)
        Data Localisation
      • Prof. dr. Paul de Hert (Tilburg University, Vrije Universiteit Brussel)
        Discussan
  • 12:30-13:30 Lunch, Faculty Club
  • 13:45-15:15 Panels 3 & 4 (parallel panels)
    • Panel 3 - Business Law & Taxation
      Room CZ 007
      • Dr. Anne Lafarre & Prof. dr. Christoph van der Elst (Tilburg University)
        Legal Tech and Blockchain for Corporate Governance and Shareholders
      • Prof. dr. Ronald Russo (Tilburg University)
        Data Science and Taxation
      • Prof. dr. Eric Tjong Tjin Tai (Tilburg University)
        Discussant
    • Panel 4 - Administrative Law
      Room CZ 112
      • Prof. dr. Sofia Ranchordas (University of Groningen)
      • Abram Klop (Leiden University) Data-Driven Regulation and Governance in Smart Cities
      • Dr. Wesley Kaufmann, Tilburg University, Connecting Agency Rules and Red Tape
      • Discussant - Prof. dr. Anne Meuwese, Tilburg University
  • 15:15-15:30 Coffee break, Faculty Club
  • 15:45-17:15 Panels 5
    • Panel 5 - Private Law
      Room CZ 010
      • Prof. dr. Eric Tjong Tjin Tai (Tilburg University)
        Liability for (Semi)Autonomous Systems
      • Prof. dr. Christoph Busch  (University of Osnabrück)
        Granular Legal Norms: Big Data and the Personalisation of Private Law
      • Dr. Paul Verbruggen (Tilburg University)
        Discussant 
  • 17:15-18:00 Closing and drinks, Faculty Cub

Program Second day - 18 May

  • 9:15-09:45 Registration
  • 10:00-10:15 Opening
    Room PZ 41
    • 10: 15-11:00 Keynote
      Prof. dr. Kevin D. Ashley (University of Pittsburgh)
       Applying Text Analytics in the Legal Domain: Possibilities and Problems
  • 11:00-12:30 Workshop: The practice of data science
    Room PZ 41
    Demonstrations/presentations of researchers applying data science to law
    • Dr. Marc van Opijnen (Publications Office of the Netherlands UBR|KOOP)
      Extracting legal links from case law
    • Prof. dr. Mathias Siems (Durham University)
      Network analysis and comparative law
    • Prof. dr. Michel Vols and Masha Medvedeva (University of Groningen)
      Using machine learning to predict (future) judicial decisions of the European Court of Human Rights
    • Dr. Radboud Winkels (University of Amsterdam)
      Legal recommender systems
    • Prof. dr. Eric Tjong Tjin Tai (Tilburg University)
      Discussant
  • 12:30-13:30 Lunch, Faculty Club
  • 13:45-15:15 Panel discussion: Social Consequences of Data Science Research
    Room PZ 41
    • Prof. dr. Rupprecht Podszun (University of Düsseldorf)
      Competition Law in the Digital Economy
    • Prof. dr. Ronald Leenes (Tilburg University)
      Transparency of Automated Decision Making
    • Dr. Linnet Taylor (Tilburg University)
      The implications of the Current Responsible Data Movements for Society and Industry
    • Prof. dr. Vanessa Mak (Tilburg University)
      Discussant
  • 15:15-15:30 Concluding speech
    Room PZ 41
  • 15:30-16:30 Meeting of the Research Network for Data Science and Law
    Room PZ 41
  • 16:30-17:30 Drinks reception, Faculty Club

Organizing committee

  • Dr. Katarzyna Kryla-Cudna
  • Prof. Vanessa Mak
  • Prof. Eric Tjong Tjin Tai
  • Dr. Paul Verbruggen

Partly sponsored by NOW

Cost and registration

Attendance is free. Registration is mandatory. To register please e-mail: frw.datascience.tip@tilburguniversity.edu

When: 17 May 2018 09:15

End date: 18 May 2018 17:15