Understanding Society

Tilburg University staat al meer dan tachtig jaar garant voor hoge kwaliteit van onderzoek en onderwijs. We zijn specialist in mens- en maatschappijwetenschappen en willen een structurele bijdrage leveren aan de samenleving.

Conference Legal Aspects of Data Science

17-18 May 2018
Tilburg University


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

09:30-10:00 Registration

10:00-10:05 Opening [room CZ 010]

10:05-10:45 Keynote - Prof. Florence G’sell, Université de Lorraine, Data Science for Decision Support: Legal Issues [room CZ 010]

10:45-11:00 Coffee break

11:00-12:30 Panels 1 & 2 (parallel panels)

Panel 1 - Private Law [room CZ 007]:

Prof. 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, Digital Market Manipulation and the Internet of Things

Discussant - Prof. Eleni Kosta, Tilburg University

Panel 2 - Criminal Law & Security [room CZ 112]:

Prof. 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), Michael Olmedo Cuevas (Rousaud Costas Duran), Paweł Szulewski (University of Wroclaw) Data Localisation

Discussant - tbc

12:30-13:30 Lunch

13:30-15:00 Panels 3 & 4 (parallel panels)

Panel 3 - Business Law & Taxation [room CZ 007]:

Dr. Anne Lafarre & Prof. Christoph van der Elst, Tilburg University, Legal Tech and Blockchain for Corporate Governance and Shareholders

Prof. Ronald Russo, Tilburg University, Data Science and Taxation

Discussant - tbc

Panel 4 - Administrative Law [room CZ 112]:                                          

Prof. 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 - tbc

15:00-15:30 Coffee break


Panel 5 - Private Law [room CZ 010]:

Prof. Eric Tjong Tjin Tai, Tilburg University, Liability for (Semi)Autonomous Systems

Prof. Christoph Busch, University of Osnabrück, Granular Legal Norms: Big Data and the Personalisation of Private Law

Discussant - tbc

17:00 Closing and drinks

Program Second day - 18 May

9:30-10:00 Registration

10:00-10:15 Opening [room PZ 41]

10: 15-11:00 Keynote - Prof. Kevin D. Ashley, University of Pittsburgh, [room PZ 41]

11:00-12:30 Workshop: The practice of data science [room tbc]

- Demonstrations/presentations of researchers applying data science to law.

  1. Marc van Opijnen Extracting legal links from case law
  2. Prof. Mathias Siems (Durham University) Network analysis and comparative law
  3. Prof. Michel Vols and Masha Medvedeva ,University of Groningen, Using machine learning to predict (future) judicial decisions of the European Court of Human Rights
  4. Radboud Winkels, University of Amsterdam, Legal recommender systems

12:30-13:30 Lunch

13:30-15:00 Panel discussion: Social Consequences of Data Science Research [room PZ 41]                           

  1. Prof. Rupprecht Podszun, University of Düsseldorf, Competition Law in the Digital Economy
  2. Prof. Ronald Leenes, Tilburg University, tbc
  3. Dr. Linnet Taylor, Tilburg University, The implications of the Current Responsible Data Movements for Society and Industry

15:00-15:15 Concluding speech [room PZ 41]

15:15-16:15 Meeting of the research network for data science and law [room PZ 41]

16:15-17:15 Drinks reception

Organizing committee

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

Cost and registration

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

Wanneer: 17 mei 2018 09:30

Einddatum: 18 mei 2018 17:15