Find Academic Supervisors

Antonia StanojevićView profile

Researcher

• Algorithmic Governance
• Organizational Resilience
• Political Behavior
• +3 more

Antonia Stanojević is a Researcher at Tilburg Law School (Tilburg University), affiliated with the TILT Institute. Her work focuses on algorithmic governance, organizational resilience, and the ethical implications of emerging digital technologies. She holds a PhD ('dr.') and actively contributes to interdisciplinary research at the intersection of law, technology, and society. Affiliations: Tilburg Law School, TILT Institute Key Projects: CHAIN (on legal activism) and REVEAL (organizational resilience in standard-setting) Her research explores topics such as algorithmic fairness, social vulnerability in digital systems, and resilience strategies for organizations facing technological challenges. Recent work includes analyses of ETSI's standard-setting practices and the ethical dimensions of algorithmic experimentation. Stanojević frequently presents at international conferences, hosts academic visitors, and participates in editorial and peer-review activities. Her contributions bridge technical, legal, and societal perspectives on digital transformation.

• Artificial Intelligence
• Law
• Decision Making
• +3 more

Prof. Floris Bex holds a dual role as Professor (Regulating Socio-Technical Change) at Tilburg Law School and Associate Professor of Artificial Intelligence at Utrecht University. He also serves as a Scientific Advisor AI for the Dutch National Police (Politie - Landelijke Eenheid) since 2016. His work bridges law, technology, and decision-making, focusing on AI’s societal impacts. Affiliations: Tilburg Law School (TILT institute), Utrecht University Key roles: AI ethics, legal decision-support systems, socio-technical regulation Research focuses on AI’s role in legal contexts, including algorithmic transparency, judicial decision-making, and regulatory frameworks for emerging technologies. His work spans transdisciplinary projects addressing AI ethics, data governance, and the intersection of law & technology. Active in 2 major projects: Regulating Socio-Technical Change (2019–2023) and Digital Legal Studies (2019–2025), exploring EU competition law, data protection, and AI policy. Awards: None explicitly listed in provided texts Grants: Involved in EU-funded research initiatives Led the TILT research group, collaborating globally on AI in legal systems. His lab work involves designing explainable AI systems for law enforcement and judicial processes.

Ronald LeenesView profile

Professor

• Regulation by Technology
• Privacy and Identity Management
• Data Protection
• +4 more

Prof. Ronald Leenes is a Full Professor at Tilburg Law School and TILT, specializing in regulation by technology, privacy, and AI ethics. His research focuses on legal and ethical implications of emerging technologies like robotics and data-driven systems. He has held roles as principal investigator in EU projects such as Robolaw and A4Cloud, addressing accountability in cloud computing and AI regulation. His career spans academic leadership, including roles as associate and assistant professor at Tilburg and Twente Universities. Leenes has supervised over a dozen PhD students, contributing to fields like data protection, cybersecurity, and ethical AI. He actively engages in policy advisory roles, including memberships with SURF, SIVI, and SOONS. His work bridges law, technology, and public policy, with over 150 publications in journals and edited volumes on privacy, data governance, and techno-regulation. Education: PhD in Public Administration (University of Twente), Background in Artificial Intelligence and Law Research Interests: Privacy, Data Protection, Robotics Ethics, Cloud Computing, Regulatory Policy Key Projects: EU FP7 Robolaw (robotics ethics), A4Cloud (cloud accountability), INTERSCT (Internet of Secure Things) Awards/Honors: Extensive editorial contributions to data protection volumes, inaugural lecture on techno-regulation Leenes' research highlights include analyzing Kenya’s GDPR alignment, certifying AI systems, and exploring privacy in virtual environments like Second Life. His current projects tackle cybersecurity, AI ethics, and regulatory frameworks for emerging technologies.

Ana-Maria HriscuView profile

Lecturer

• Data Protection Law
• Privacy Law
• Competition Law
• +4 more

Ana-Maria Hriscu is a PhD researcher at the Tilburg Institute for Law, Technology, and Society (TILT), Tilburg Law School, Tilburg University. She serves as a Lecturer for the Joint BSc Data Science program and supervises Master's theses in Law and Technology, focusing on privacy and data protection law within digital platform ecosystems. Her academic background includes a Master's Degree in Law from TILT (2021), a Bachelor's Degree in Law from Tilburg University (2019), and a Bachelor's Degree in Languages and Literature from the University of Kent (2014). Her research centers on the legal frameworks governing personal data processing by large online platforms, with emphasis on consent mechanisms, data subject rights enforcement, and the intersection of data protection law with competition and consumer law. She investigates regulatory gaps in digital markets and practical challenges in cross-border data governance. Her publications analyze evolving trends in EU data protection jurisprudence, particularly regarding Big Tech accountability, transparency in algorithmic processing, and the harmonization of data protection with competition enforcement. Key themes include the limitations of consent-based processing models and the operationalization of data subject rights in complex digital ecosystems. Scientific awards: IAPP Westin Scholar Award (2021) JC Baak Prize (2022) Max van der Stoel Human Rights Award Nominee (2021) As an active academic contributor, she supervises Master's theses, serves on the Management Committee of the Data Protection Scholars' Network, and participates in the Dutch Law Sector Plan-funded Digital Legal Lab. Her grant-related work includes organizing international seminars on data protection impact assessment and legal research methodologies. She maintains strong affiliations with the Data Protection Scholars' Network and Digital Legal Lab, driving collaborative research on digital regulation through conference organization, peer review activities, and cross-institutional knowledge exchange initiatives.

• Trust in Technology
• Biomedical Ethics
• Epistemology
• +5 more

Philip Nickel is an Associate Professor at the Industrial Engineering and Innovation Sciences school, specifically in the Philosophy & Ethics department at Eindhoven University of Technology. His work focuses on the philosophical dimensions of technology-mediated human reliance, particularly in biomedical contexts. Biomedical Ethics Trust in AI Systems Technomoral Change Epistemic Agency Research spans rethinking traditional ethical values like consent in digital healthcare, with recent projects examining Mobile Support Systems for Behavior Change (2017-2023) and Non-Animal Platform for Nanoparticle Delivery (2025-2028). He investigates how data-driven medical transformation intersects with fairness, knowledge, and human dignity. Key teaching areas include risk ethics , AI ethics , and engineering ethics . He collaborates with institutions like Oxford Internet Institute and Philips, affiliated with 4TU Centre for Ethics and Technology. Current work explores Explainable AI standards in biomedical applications and ethical frameworks for ambient persuasive technologies .

• Robust Optimization
• Bilevel Optimization
• Explainable Optimization
• +3 more

Jannis Kurtz is an Assistant Professor in Mathematical Methods and Applications in Data Science at the University of Amsterdam 's Faculty of Economics and Business, Department of Business Analytics. His research focuses on robust optimization, bilevel optimization, explainable optimization, integer optimization, machine learning, and operations research. Robust Optimization Bilevel Optimization Explainable Optimization Integer Optimization Machine Learning Operations Research Recent publications include advancements in counterfactual explanations for linear optimization, neural bilevel optimization frameworks, and data-driven robust combinatorial optimization. He organizes the Robust Optimization Webinar series and actively participates in international conferences like INFORMS, ICSP, and LION. Contact: j.kurtz@uva.nl

• Natural Language Processing
• Applied Data Science
• Computational Linguistics
• +3 more

Dr. Pablo Mosteiro Romero is an Assistant Professor at Utrecht University's Faculty of Social and Behavioural Sciences within the Department of Methodology and Statistics . His work bridges Natural Language Processing (NLP) , Applied Data Science , and Human-centered Artificial Intelligence , focusing on language change, morphology-syntax trade-offs, and applications in healthcare and open societies. Education: B.Sc. in Physics, Rutgers University (Summa Cum Laude, 2007) Ph.D. in Computer Science, Princeton University (2014, Centennial Fellowship) Research Interests revolve around computational linguistics, information-theoretic approaches to linguistics, and ethical AI. He investigates synonym evolution, morphosyntactic interactions, and fairness in mental health-focused AI systems. Recent work includes de-identification in medical texts and taxonomy induction via reinforcement learning. Publications span top venues like ACL, IEEE, and Springer, covering topics such as topic modeling interpretability, bias discovery in ML, and multimodal negation processing. Collaborations with colleagues like Scheepers, Spruit, and Kaymak highlight interdisciplinary applications in electronic health records. Awards include the Centennial Fellowship at Princeton and Summa Cum Laude at Rutgers. As a University Teaching Qualification holder, he teaches courses in data science, Python programming, and research methods, supervising theses in AI and Business Informatics. His work aligns with Utrecht's Institutions for Open Societies (IOS) theme, addressing gender diversity and global justice in data-driven systems.

• European Union Law
• Competition Law
• Media Pluralism
• +5 more

Dr. Malgorzata Kozak is an Assistant Professor at Utrecht University's School of Law , specializing in European Union Law and Competition Law . Her work bridges theoretical analysis with practical insights from her prior experience as a legal practitioner in Poland. Her research focuses on: Media pluralism and competition law Private and public enforcement mechanisms State aid regulation Digital governance challenges Recent publications address digital platform regulation, media pluralism, and EU legal reforms. She actively participates in academic events and media discussions, contributing to debates on EU law and democratic integrity. At Utrecht University, she teaches courses including European Competition Law and Competition Law Moot Court . Contact: m.w.kozak@uu.nl | mwkozak@uu.nl

• Cultural Identity
• Manuscripts and Early Prints
• Middle Ages
• +3 more

Martine Veldhuizen is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication within the Faculty of Humanities. Her work focuses on the historical dynamics of speech behavior, particularly through the lens of freedom of expression and privacy in both medieval and modern contexts. She leads the NWO-funded project Truth-tellers: The Mentality behind Subversive Speech Behavior and co-founded the Centre for Unusual Collaborations. Expertise in Middle Dutch language and culture Specializes in manuscripts/early prints Active in Institutions for Open Societies (IOS) initiatives Research Themes combine medieval cultural identity analysis with contemporary societal challenges. Her work examines: Free speech evolution from 1450-1750 Privacy concepts in historical and interdisciplinary frameworks Subversive female narratives in early printed works Intersectional approaches to modern societal issues Key scientific awards include: NWO Veni Grant (2016) Winter Fund Grant (2018) Internationalization Grant (2017) COST Grant participation (2018) She has taught courses on Corpora and Tools in Dutch Studies Media and Persuasion in Premodern Europe Freedom of Speech: Cultural and Legal Perspectives Current affiliations: Utrecht Young Academy chair (2020-2022) NIAS Law and Literature Seminar participant EWUU Alliance collaborator

• Machine Learning
• Artificial Intelligence
• Ethics
• +7 more

Dr. ir. Cynthia C.S. Liem is an Associate Professor in the Multimedia Computing department at Delft University of Technology, specializing in ethical and reliable AI frameworks. Her work bridges machine learning, human-computer interaction, and societal impact. Academic Rank: Associate Professor Department: Multimedia Computing School: Electrical Engineering, Mathematics and Computer Science Liem’s research focuses on Explainable AI , Algorithmic Transparency , and AI Ethics , emphasizing fairness in machine learning and societal implications of autonomous systems. Recent publications explore adversarial testing, energy-constrained counterfactuals, and critiques of unscientific AGI claims. Her most recent articles highlight trends in autonomous vehicle testing , AI explainability , and ethical algorithmic design , leveraging techniques like conformal prediction and differential evolution . Scientific Awards : SBFT 2023 Best Paper Award TU Delft Education Fellow WWW 2018 Challenge Winner 2024 Women in AI Netherlands Diversity Leader Award Liem serves as an advisor for DUO’s research ethics audits and frequently contributes to public discourse on AI’s societal role, appearing in national media outlets like Delta and Trouw . She also leads datasets on music representation learning and algorithmic recourse.

• Transport Policy
• Machine Learning
• Behavioral Economics
• +5 more

C.G. Chorus is a Professor at the Faculty of Industrial Design Engineering at Delft University of Technology (TU Delft). His work bridges transport policy , machine learning , and behavioral economics , focusing on decision-making, moral psychology, and mobility systems. Key Research Areas : Transport modeling, participatory value evaluation, AI ethics, and behavioral decision theory. Collaborations : Active in interdisciplinary projects with institutions like 4TU.ResearchData and editorial roles in journals such as European Journal of Transport and Infrastructure Research . Recent publications highlight applications of random forests and association rules to analyze complex choice experiments, alongside investigations into moral foundations in judicial contexts and system safety in public-sector AI. His work often integrates data science and policy analysis to address real-world challenges in infrastructure and mobility. Scientific Awards 2008 IEEE Intelligent Transportation Systems Society Best PhD Dissertation Award BIVEC-GIBET PhD Award (2007) Honourable Mention for Best Transportation Science and Logistics Paper (2007) Traveler Response to Information Prize (2009) Chorus contributes to open-access datasets and software, including travel behavior studies and moral decision-making experiments. His editorial and conference activities underscore his leadership in advancing transport and infrastructure research.

Jessica DorseyView profile

Assistant Professor

• International Humanitarian Law
• Remote Warfare
• Human Rights
• +7 more

Jessica Dorsey is an Assistant Professor of International and European Law at Utrecht University's School of Law, specializing in international humanitarian law, remote warfare, and artificial intelligence's legal implications. She co-directs the Realities of Algorithmic Warfare Research Platform and leads the International Law Clinic. Teaches international law courses at University College Utrecht Teaches Conflict and Security track, Public International Law master's program Her research examines military targeting legitimacy amid AI-driven warfare, focusing on civilian protection and democratic principles like transparency and accountability. She actively contributes to interdisciplinary teams such as the Open-Source Global Justice Investigations Lab. Key affiliations include: Managing Editor, Opinio Juris international law blog Advising Netherlands Ministry of Defense on AI integration in Protection of Civilians policy Consultant for UN Special Rapporteurs on armed drones and civilian protection

• Art History
• Contemporary Art
• Digital Technologies
• +4 more

Prof. dr. Cadence Kinsey is Professor of Contemporary Art and Global and Social Challenges at Utrecht University's Department of History and Art History. Previously, she served as Associate Professor of Contemporary Art at University College London and Lecturer in Recent and Contemporary Art at the University of York. Current research explores post-2008 subjectivity and inequality through feminist science & technology studies and sociology Key expertise in digital technologies, internet culture, and social class dynamics Author of Walled Gardens: Autonomy, Automation, and Art After the Internet (OUP, 2021) Her research output spans post-internet art, digital representation, and the intersection of technology with bodily identity. Articles like Matrices of Embodiment (2014) and Fluid Dynamics (2020) reveal consistent themes of: Digital materiality and subjectivity Networked embodiment Platform-specific artistic practices Temporal structures in digital art Post-internet aesthetics Feminist technocultural critique Active in curatorial practice through exhibitions like Exposure and Contrast (2024) at LSE, Kinsey continues to bridge academic research with public engagement. Her work appears in journals like Art History , Grey Room , and Signs .

• Ethical Organizational Culture
• Integrity
• Work-Life Balance
• +5 more

Prof. dr. Elianne van Steenbergen serves as Professor by Special Appointment in Psychology of Supervision at Utrecht University's Faculty of Social and Behavioural Sciences, Department of Social, Health and Organisational Psychology. She simultaneously holds an Assistant Professor position in the same department and works as a senior supervisory officer at the Dutch Authority for the Financial Markets (AFM) in the Behavior & Culture expert team. Her work involves close collaboration with the Dutch Authority for Consumers & Markets (ACM) and Uitvoeringsinstituut Werknemersverzekeringen (UWV). Van Steenbergen's research centers on stimulating compliance and ethical behavior in organizations, with a specific focus on connecting regulatory supervision practices with psychological research. Her expertise spans Ethical Organizational Culture, Integrity, and Work-Life Balance, with recent work examining how regulatory bodies can become learning organizations through behavioral insights. She delivered her inaugural lecture on Psychology of Supervision on December 7, 2020, establishing this specialized field that examines how people in organizations are stimulated to 'do the right thing.' Her scholarly contributions demonstrate a clear progression from earlier work on work-life balance, leadership and culture toward her current focus on the Psychology of Supervision. The research shows increasing integration of behavioral science into regulatory practice, with particular attention to cognitive biases in supervision, error management cultures, and the development of more effective compliance strategies in financial institutions. As an academic supervisor, van Steenbergen chairs PhD committees and serves as primary supervisor for doctoral candidates including Loet van Stekelenburg (researching 'Expanding Cartel Fines Beyond Deterrence, A Psychological Perspective'). She also contributes to academic discourse through editorial work, having served on the editorial board of Tijdschrift voor Toezicht (Journal) from 2019-2021 and as a peer reviewer for the European Journal of Work and Organizational Psychology. Her practical engagement extends to developing training modules on supervision psychology for various institutions including the University of Utrecht's 'Toezicht met gezag' program, Erasmus leadership programs, and the Dutch School for Public Administration (NSOB). She regularly presents her research at professional conferences and to regulatory bodies across Europe, including ESMA, EIOPA, and EBA.

Marcel BogersView profile

Professor

• Open Innovation
• Collaborative Innovation
• Innovation Ecosystems
• +6 more

Marcel Bogers is a Full Professor of Open & Collaborative Innovation at the Department of Industrial Engineering & Innovation Sciences (IE&IS) at Eindhoven University of Technology (TU/e) and an Affiliated Professor at the University of Copenhagen. He is also a Garwood Research Fellow at UC Berkeley. His research spans technology, innovation, and entrepreneurship, focusing on open innovation, business models, and ecosystem dynamics. He has contributed to fields like sustainability, digital innovation, and university-industry collaboration. Education: MSc in Technology and Society (TU/e, 2004) PhD in Management of Technology (EPFL, 2009) Research Interests: Open Innovation and Collaborative Processes Innovation Ecosystems and Societal Impact Business Model Design and Digital Transformation University-Industry Collaboration and Policy Recent Work Trends: His publications address open innovation in AI, public sectors, and sustainability, with a focus on ecosystem governance, circular business models, and societal challenges. Collaborative prototyping and imperfection-as-practice are recurring themes. Scientific Awards: Highly Cited Researcher (2020, 2019) SCIENCE Dissemination Award (2019) Best Teacher Award (2012) Top Professor on Twitter Academic Network: He has collaborated with institutions like EPFL, UC Berkeley, and the University of Southern Denmark. His teaching includes courses on open innovation and technology entrepreneurship.