Here you can find the scientific publications in peer-reviewed journals from researchers and ESRs involved in LeADS, with an indication of the involved representative in each case (certain publications might have collaborations with other scientists from institutions not directly involved in LeADS):

Title Authors Title of the Journal/Proc./Book Repository Link
The implications of the Proposed Data Act to B2G data sharing in smart cities Lazarotto, Barbara Digital Legal Talks, 2022 https://zenodo.org/record/7481739
Unchaining Data Portability Crepax Tommaso 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7525445
Context, Prioritization, and Unexpectedness: Factors Influencing User Attitudes About Infographic and Comic Consent Xengie Doan, Annika Selzer, Arianna Rossi, Wilhelmina Maria Botes, and Gabriele Lenzini COnSeNT 2022 ~ 2nd International Workshop on Consent Management in Online Services, Networks and Things co-located with 31st WEB Conference https://hdl.handle.net/10993/51193
Ugly Truths: Clarifying the Distinction Between Bias and Fairness Poe, Robert 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7525345
PUBLIC-PRIVATE DATA SHARING: FROM “DATAVEILLANCE” TO DATA RELEVANCE Lazarotto, Barbara 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7490203
The implications of the Data Act to B2G Data Sharing in Smart Cities (Poster) Lazarotto, Barbara Conference on Data Sciences and EU Regulations 10.5281/zenodo.7490228
Solving The Data Gap Paradox In Machine Learning using PETs Soumia Zohra EL MESTARI; Robert Poe Conference on Data Sciences and EU Regulations https://zenodo.org/record/7491545
DTC Genetic Testing Consent Policies from a Contextual Integrity, Legal, and Actionability Lens Doan, Xengie.; Doğan, Fatma Sümeyra Conference on Data Sciences and EU Regulations https://zenodo.org/record/7534358
Challenges Of Using Homomorphic Encryption In Machine Learning Soumia Zohra EL MESTARI 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7491533
Differential Privacy and Explainable AI (XAI) in the realm of Predictive Justice Mitisha Gaur 8th Conference on Artificial Intelligence Applications and Innovations (AIAI2022). https://zenodo.org/record/7506740
Reciprocal interplay between competition law and privacy:The impact of GDPR on the market value of big firms Yang, Qifan Conference on Data Sciences and EU Regulations https://zenodo.org/record/7528694
Reciprocal interplay between competition law and privacy in the digital revolution Yang, Qifan 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7528660
A Year After EU Digital COVID Certificate Regulation- An Analysis in Retrospect Dogan, Fatma Sümeyra Digital Law & Policy – Proportionality Principle In IT Regulation Conference https://zenodo.org/record/7514600
Federated Learning as an Analytical Framework for Personal Data Management S. Rinzivillo, M. Zuziak ” Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022)” https://ceur-ws.org/
Appealing Against the Turkish Data Protection Authority Decisions Under Law on Personal Data Protection Numbered 6698 Fatma S. Doğan Legal Comparativism in Legislative-Political Discourse. Legality or Abuse https://zenodo.org/record/7527506
From P4 medicine to P5 medicine: transitional times for a more human-centric approach to AI-based tools for hospitals of tomorrow Denise Amram; Arianna Cignoni; Tommaso Banfi; Gastone Ciuti Open Research Europe https://doi.org/10.12688/openreseurope.14524.1
DTC Genetic Company Privacy and Consent Policies: An investigation of the legality and information accessibility Doan, Xengie; Doğan,Fatma Sümeyra 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7534346
Autonomy and the social dilemma of online manipulative behavior. Marietije Botes AI Ethics https://orbilu.uni.lu/handle/10993/50823
Solving Conflicts Between Data Owners and Exploiters through a Spectrum of Quasi-Property Models Onntje Hinrichs 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7683715
Core Tenets For Designing A Reliable Predictive Justice AI System Mitisha Gaur Lawtomation Days Conference, IE Law School, Madrid https://zenodo.org/record/7682573
From Property Rights in Data Towards a Regulatory Framework in the Data Act – Sufficient to Empower Individuals? Hinrichs Conference on Data Sciences and EU Regulations https://zenodo.org/record/7683726
A Novel Approach for Data Processing and Management in Edge Computing Armend Duzha; Dimosthenis Kyriazis 18th Conference on Artificial Intelligence Applications and Innovations (AIAI2022). https://zenodo.org/record/7684063
Self-Sovereign Identity and the EU Lepore Cristian; Laborde Romain; Jessica Eynard Conference on Data Sciences and EU Regulations https://zenodo.org/record/7683020
The Future of Identity is Digital Lepore Cristian; Laborde Romain; Eynard Jessica; Kandi Ali 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://zenodo.org/record/7682734
Aligning eIDAS and Trust Over IP: A Mapping Approach Cristian Lepore, Romain Laborde, Jessica Eynard Proceedings of the 19th International Conference on Availability, Reliability and Security https://hal.science/hal-04663453
From Data Governance by design to Data Governance as a Service: A transformative human-centric data governance framework Armend Duzha, Emmanouil Alexakis, Dimosthenis Kyriazis, Louis Fortune Sahi, Mohamed Ali Kandi Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing https://doi.org/10.1145/3616131.3616145
Regulating scientific and technological uncertainty: The precautionary principle in the context of human genomics and AI Marietjie Botes South African Journal of Science https://doi.org/10.17159/sajs.2023/15037
Legal-Ethical Challenges and Technological Solutions to e-Health Data Consent in the EU Xengie Doan, Marcu Florea, Sarah E. Carter Frontiers in Artificial Intelligence and Applications, HHAI 2023: Augmenting Human Intellect http://orbilu.uni.lu/handle/10993/55727
Measuring data access and re-use in the European Legal Framework for Data, from the General Data Protection Regulation (GDPR) law to the Proposed Data Act: the case of vehicle data Tommaso Crepax, Mitisha Gaur, Barbara da Rosa Lazarotto Open Research Europe https://biblio.vub.ac.be/vubir/(d3c3277b-6206-4111-b1d4-af0cdcbcca73).html
Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study Xengie Doan, Arianna Rossi, Marietjie Botes, Annika Selzer JMIR Human Factors https://doaj.org/article/908a69296b27435987952e3d0d02cdb2
Data Collaboratives with the Use of Decentralised Learning Maciej Krzysztof Zuziak, Onntje Hinrichs, Aizhan Abdrassulova, Salvatore Rinzivillo 2023 ACM Conference on Fairness, Accountability, and Transparency https://hdl.handle.net/20.500.14243/468622
Preserving data privacy in machine learning systems Soumia Zohra El Mestari, Gabriele Lenzini, Huseyin Demirci Computers & Security https://doi.org/10.1016/j.cose.2023.103605
The Data Act: empty promises for business-to-government data sharing? Barbara Lazarotto PinG Privacy in Germany https://doi.org/10.37307/j.2196-9817.2022.05.04
A security model for assessing eID solutions Lepore, Cristian https://zenodo.org/records/7846119
Reinventing Privacy: Moving from Individual to Group Privacy Lazarotto, Barbara https://zenodo.org/records/7893935
Data Property Rights and Data Trading System: Privacy Value and Economic Efficiency of Personal Data Yang, Qifan https://zenodo.org/records/8392987
The Flawed Foundations of Fair Machine Learning Poe, Robert Lee; Mestari, Soumia Zohra El Minds and Machines Special Issue on the (Un)fairness of AI http://arxiv.org/abs/2306.01417
Privacy Preserving Machine Learning Systems Soumia Zohra EL MESTARI Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society https://doi.org/10.1145/3514094.3539530
The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring Robert Lee Poe, Soumia Zohra El Mestari The 2024 ACM Conference on Fairness, Accountability, and Transparency https://dl.acm.org/doi/10.1145/3630106.3659015
A framework for user-centered, legal-ethical collective consent models: genomic data sharing DOAN, Xengie Cheng https://hdl.handle.net/10993/63780
Eric Monteiro, Digital Oil: Machineries of Knowing, The MIT Press, 2022 Barbara Lazarotto Vol. 14 No. 2 (2023): Tecnoscienza Nr. 28 https://tecnoscienza.unibo.it/issue/view/1245
April 2023 European Conference ESTIA-23 Abdrassulova Aizhan https://doi.org/10.5281/zenodo.17265569
INTANGIBLE OBJECTS AND PROPERTY LEGISLATION IN THE REPUBLIC OF KAZAKHSTAN Aizhan Abdrassulova Visnyk of the Lviv University. Series Law http://publications.lnu.edu.ua/bulletins/index.php/law/article/view/11806
在隐私保护与经济效率之间摇摆的个人数据——产权化是好的归宿吗 Qifan Yang Economic law for the digital economy development https://zenodo.org/record/8393076
Personal Data Wavering between Privacy and Efficiency: Is Propertization a Good Answer? Qifan Yang China Economic Law Annual Conference https://zenodo.org/record/8393021
Reciprocal interplay between competition law and privacy:The impact of GDPR on the market value of big firms Qifan Yang Conference on Data Sciences and EU Regulations https://doi.org/10.5281/zenodo.7528693 
Reciprocal interplay between competition law and privacy in the digital revolution Qifan Yang 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI2022) https://doi.org/10.5281/zenodo.7528659
Why Your Data is not Your Property (and Why You Still End Up Paying With It)? Onntje Hinrichs Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Your Data Rights: How does the GDPR Affect the Social Media Market?
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Qifan Yang Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
BYOD – Bring Your Own Data. The struggle of re-using data in a world of heterogeneous systems Tommaso Crepax Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Self-Sovereign Identity: The Revolution of Digital Identity Cristian Lepore Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Evaluation and Harmonization of Data Quality Criteria: Insights from Expert Interviews for Legal Application Louis Sahi Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Extracting Data Value through Data Governance Armend Duzha Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
What AI is stealing! Data privacy risks in AI Soumia Zohra El Mestari Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Persοnal Health Infοrmatiοn Management Systems (PHIMS) fοr user empοwerment: A Cοmprehensive οverview Christos Magkos Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Can business-to-government data sharing serve the public good? Barbara da Rosa Lazarotto Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Collective consent, risks and benefits of DNA data sharing Xengie Doan Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
To Use or Not to Use? Re-using Health Data in AI Development Fatma Dogan Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
How to collaboratively use statistical models in a secure way Maciej Krzysztof Zuziak Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
The perils of Value Alignment Robert Lee. Poe Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Policing the AI Judge: a Balancing Act Mitisha Gaur Legality Attentive data scientists for everyone – Special Issue 2024 https://doi.org/10.5281/zenodo.17264992
Towards Reliable Collaborative Data Processing Ecosystems: Survey on Data Quality Criteria Louis Sahi, Romain Laborde, Mohamed-Ali Kandi, Michelle Sibilla, Giorgia Macilotti, Benzekri Abdelmalek, Afonso Ferreira 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) https://hal.science/hal-04287970v1/document
Use Of Distributed Personal Data Management For Personalization Of Digital Services Maciej Zuziak https://doi.org/10.5281/zenodo.7689284
Data rule hanging over platform competition: How does the GDPR affect social media market concentration? Qifan Yang, Yituan Liu Computer Law & Security Review https://doi.org/10.1016/j.clsr.2024.106102
A Model For Assessing The Adherence of E-Identity Solutions To Self-Sovereign Identity Lepore, Cristian; Laborde, Romain; Eynard, Jessica; Kandi, Mohamed, Ali; Macilotti, Giorgia; Ferreira, Afonso; Sibilla, Michelle https://worldcist.org/ https://hal.science/hal-04558484
Federated Learning as an Analytical Framework for Personal Data Management – a proposition paper Maciej Zuziak; Salvatore Rinzivillo 1st International Workshop on Imagining the AI Landscape After the AI Act, May, 2022, Amsterdam, Netherlands https://ceur-ws.org/Vol-3221/
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo 2024 IEEE International Conference on Big Data (BigData) https://doi.org/10.48550/arXiv.2503.04231
Unwinding a Legal and Ethical Ariadne’s Thread Out of the Twitter Scraping Maze Arianna Rossi, Archana Kumari, Gabriele Lenzini Privacy Symposium 2022 https://hdl.handle.net/10993/52830
Analysis of Transparency and User-Relevancy of DTC Company Policies Xengie Doan, Fatma Sümeyra Doğan, Arianna Rossi Privacy Symposium 2024 https://hdl.handle.net/10993/61227