LeADS Working Paper Series
This blog post inaugurates the LeADS Working Paper Series, a series of blog posts that will give the possibility for our Early-Stage Researchers (ESRs) to present and contextualize the Working Papers they have been working on over the past months.
Working Papers (WOPA) represent the state of the art in the field of Privacy and Data Protection, Intellectual Property, Algorithm Regulation, Privacy Enhancing Technologies, and Data Processing Transparency. These papers were written by groups of Early Stage Researchers, in an effort to reflect how each crossroad topic still needs to be addressed
in data-driven societies that cannot be viewed and fully grasped in isolation but are instead fully interconnected.
The Working Papers are also a very important landmark for the LeADS project since they constitute the first public deliverable of the project. For this “LeADS Working Paper Series,” each WOPA team wrote an introductory text which should serve to contextualise their work with regard to the LeADs project. It is followed by the abstract of their respective paper. The following 6 WOPAs were written and will have dedicated blog posts.
- “The Flawed Foundations of Fair Machine Learning” –
Robert Lee Poe and Soumia Zohra El Mestari
- “Contribution to data minimization for personal data and trade secrets” – Qifan Yang and Cristian Lepore
- “Transparency and Relevancy of Direct-To-Consumer Genetic Testing Privacy and Consent Policies in the EU” – Xengie Doan and Fatma Dogan
- “Data Access And Re-Use In The European Legal Framework For Data, From The GDPR To The Proposed Data Act: The Case Of Vehicle Data” – Tommaso Crepax, Mitisha Gaur and Barbara Lazarotto
- “From Data Governance by Design to Data Governance as a Service” – Armend Duzha, Christos Magkos, and Louis Sahi
- “Data Collaboratives with the Use of Decentralised Learning – an Interdisciplinary Perspective on Data Governance” – Maciej Zuziak, Onntje Hinrichs and Aizhan Abdrasulova
Keep tuned in for the first blog post in a few days!






On July 13 ESR Barbara Lazarotto participated as an expert facilitating a workshop at 
The opportunity to join the workshop was greatly appreciated by Barbara since it gave her the chance to apply in practice concepts of data quality, data portability, and trade secrets.
ESR Fatma S. Doğan participated in 
conference, the final panel took place at the Austrian Supreme Court, which allowed young researchers to witness the incredible atmosphere of the Supreme Court. Fatma also had the opportunity to receive valuable comments and thought-stimulating questions following her presentation.




concept of data ownership, and its
Brussel (VUB). 
In their collaboration, the ESRs combined their different research interests in law and machine learning, which enabled them to develop an interdisciplinary perspective on challenges posed by different approaches to data governance. The predominant part of the current discussion in EU data policy is centered around the challenging task of creating a data governance framework where data is ‘as open as possible and as closed as necessary’. In their article, the ESRs further elaborate on the concept of data collaboratives powered by decentralised learning techniques as a possible remedy to the shortcomings of existing data governance schemes.
Data collaboratives have been described as new emerging forms of partnerships where privately held data is made accessible for analysis and where collaboration between participants is facilitated to unlock the public good potential of previously siloed data. [1] They thus fit well the EU policy shift that has taken place over the past years. Whilst for decades, the introduction of exclusive property rights was discussed as a potential tool to empower data subjects with regard to ‘their’ data and to facilitate the emergence of data markets, this changed with the 2020 European Data Strategy. Now, the potential of the data economy should be unlocked by facilitating data access and sharing. The authors presented their concept of data collaboratives powered by decentralised learning techniques, which can be used as a tool to reach the goals of the current EU data strategy: facilitate access to data while protecting privacy and intellectual property interests which individuals and companies might have with regard to ‘their’ data. The collaboration between the ESRs thus reflected the idea behind the LeADS project that solutions to existing tensions in the data economy require an interdisciplinary perspective from both law and data science.


multinational health data-sharing efforts who were unsure about the usefulness of the EDHS for facilitating easier data sharing, as it seemed to only add EU certifications on top of specific national requirements (which were sometimes at odds).

Prof. Paul De Hert, one of LeADS supervisors, gave the Conference’s opening speech, introducing the new activities and the main topics discussed in 2023, such as the EDPB elections and the future of data protection in Europe in the face of recent EU Regulations.
harms: A multidisciplinary, Antecipatory Perspective”, organized by one of LeADS beneficiary Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg (LU), exploring the harms posed by dark patterns – such as the cookie banners – and how to address them. Arianna was also a workshop facilitator at the workshop “Personalised Privacy; How can we leverage personalisation for better privacy protection?” organized by Maastricht University, Law and Tech Lab.
panelist at a panel on “The Underuse of Personal Data, Its Opportunity, Costs, and EU Policies” organized by the University of Turin, which focused on how the underuse of personal data can pose risks to society, such as hindering technological development of health research.