Collaborative Symposium on Legal, Ethical & Social issues in the EU Data Economy

On 10 October (Thursday) LeMO project partner, Bird & Bird, is organising a collaborative symposium to discuss data-related issues with various EU stakeholders.

Digital data is an essential resource of the EU data economy, generating economic growth, competitiveness, innovation, job creation and societal progress. At the same time however, the uptake of new and disruptive technologies across the European economy presents various legal, ethical and social issues and questions.

  • Do the do the privacy concepts of the GDPR fit with big data?

  • Can anonymisation techniques be applied while keeping an acceptable level of predictability and utility of big data analytics?

  • Is the current legal framework in relation to data ownership satisfactory?

  • Can social differences in access to technology and education or skills lead to data-driven discrimination?

Join us on 10 October for our Collaborative Symposium, in which we will first guide you through the relevant frameworks and examine the predominant legal, ethical and social issues arising across sectors in the EU data economy.These issues have been brought to the forefront by the EU-funded research & innovation project LeMO, which aims to identify how the potential benefits associated with big data can be used to improve the European transport industry.

We then invite you to participate in our interactive roundtable discussions to debate these issues as well as to validate or reformulate proposed solutions, with the aim of improving the existing frameworks related to data in the EU.


Sky Lounge of the Maison de l'Automobile, Boulevard de la Woluwe 46, 1200 Brussels

Participation: RSVP



13:00 - 13:30 Welcome & registration

13:30 - 14:00 Opening session

  • Keynote speech:

    • Alberto Gago Fernandez, Policy Officer, Data Policy and Innovation - DG CNECT, European Commission

  • Introduction - Leveraging Big Data to Manage Transport Operations

    • Rajendra Akerkar, Project Coordinator, H2020 LeMO

14:00 - 14:45 Plenary session

  • Presentation of 16 legal, ethical and social issues related to the EU data economy

14:45 - 15:15 Coffee break

15:15 - 16:45 Roundtable session

  • Attendees will be assigned to different roundtables to debate and share experience and ideas on data-related topics. 

  • The discussions will be moderated and initiated by introducing questions and presenting findings to the group.

16:45 - 17:00 Coffee break

17:00 - 17:30 Closing session


  • Benoit Van Asbroeck, Partner, Bird & Bird

  • Julien Debussche, Senior Associate, Bird & Bird

  • Jasmien César, Associate, Bird & Bird

For any enquiries please contact:

Cecile Chanel on +32 (0)2 282 60 25 or click here

EU data economy: legal, ethical & social issues ( A publication of Bird & Bird)

Do the privacy concepts of the GDPR fit with big data?

Can anonymisation be used to maintain an acceptable level of predictability and utility of big data analytics?

Is the current legal framework around data ownership satisfactory?

This publication of Bird & Bird (LeMO project partner) presents the main legal, ethical and social issues predominantly relevant in an EU data-driven context. It is particularly pertinent in the context of big data, but the findings also apply to other disruptive technologies that heavily rely on data, such as the Internet of Things or Artificial Intelligence.

In order to provide practical examples or to contextualise our theoretical observations, several illustrations related to the transport sector are included throughout this publication. The findings however apply to many other sectors.

The issues related to data in the EU are constantly developing and will continue to evolve as the data economy remains at the centre of attention in the next EU legislature. Therefore, although the different Chapters of this publication are likely to require regular updates, they nonetheless aim to serve as a basis for further discussions on the 16 topics covered, with the ultimate aim of improving the general framework related to data.