The purpose of this report is to identify and characterize barriers and limitations by analyzing the outcomes of LeMO case studies, which cover different transport modes, and other relevant big data initiatives. The scope of the analysis will cover technical issues, as well as organisational and institutional aspects of the transportation systems. The characterization of the barriers will take into account the extent to which they constitute an absolute limitation for exploiting big data. The results will feed into forthcoming tasks related to the horizontal analysis as well as development of research and policy roadmap.
The 5th general assembly meeting of the LeMO project was held in Sogndal, Norway on the 5th and the 6th of September 2019 hosted by Vestlandsforsking. A General Assembly is a key moment for the project progress. It implies group work and team building, but it is also an opportunity to discuss and agree the next steps and to coordinate our progress. All LeMO partners gathered to discuss the advancement of the project and the 3rd phase tasks ahead. Some important decisions have been made.
The progress achieved in the different work-packages was assessed and the potential to overcome limitations in order to ensure competitive advantage in relation to big data discussed. Participants also shared the faced challenges as well as the related findings during the previous months of the project.
In the 3rd phase, LeMO analyses barriers and limitations of the transportation system to exploit big data opportunities by addressing crucial technical and institutional issues. Once a thorough understanding of barriers and limitations associated with transport big data is formed, they can then be addressed to appropriately and responsibly diminish their effects.
The LeMO team has employed a systematic strategy for reaching the stakeholders targeted in our dissemination activities. The partners discussed and decided the next communication & dissemination activities and events for our project.
The entire team presented impressive progress in first interim period of the project. The coordinator, Professor Rajendra Akerkar, thanked all partners for working hard to achieve challenging milestones and goals and for helping to deliver LeMO results so far.
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
13:00 - 13:30 Welcome & registration
13:30 - 14:00 Opening session
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
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.
The 4th newsletter of the LeMO is now published online. It describes some of the achievements of the project in the interim period. It can be downloaded from the link below.