Find Academic Supervisors

Kostina PriftiView profile

Researcher

• Artificial Intelligence Governance
• Public Law
• Legal Theory
• +3 more

Kostina Prifti is a Researcher at the Erasmus School of Law, Erasmus University Rotterdam, specializing in the Innovation of Public Law. Her work focuses on artificial intelligence governance, legal theory, sustainability justice, and the intersection of technology with public policy. She has organized major conferences such as the Law, AI and Regulation Conference 2023, and delivered invited talks on topics like AI accountability and human rights governance. Her research interests include regulatory design for emerging technologies, pragmatist legal philosophy, and systemic approaches to justice in sustainability and energy transitions. Notable contributions include a doctoral thesis on regulating AI by design and co-editing the book Digital Governance: Confronting the Challenges Posed by Artificial Intelligence . Prifti’s recent publications analyze governance frameworks for AI, sustainability justice trends, and legal implementation of distributive justice in transitions. Her work frequently combines systematic reviews with normative legal analysis, addressing gaps in accountability mechanisms for digital systems. She has actively participated in academic activities including organizing events, delivering keynote lectures, and collaborating internationally on projects related to AI ethics, energy justice, and digital transparency. Her research has been cited in peer-reviewed journals and policy discussions, emphasizing practical solutions for regulatory challenges in rapidly evolving technological landscapes.

• Dynamic Meteorology
• Extratropical Cyclones
• Cyclone Clustering
• +3 more

Chris Weijenborg is an Assistant Professor in dynamic meteorology at the Meteorology and Air Quality department of Wageningen University & Research. His research focuses on extratropical cyclones, particularly cyclone clustering and their links to moisture transport and extreme precipitation events. He coordinates the course 'Atmospheric Dynamics' and contributes to teaching 'Meteorology and Climate' and 'Atmospheric Practical'. Research interests include synoptic meteorology, baroclinic environments, and the role of diabatic heating in cyclone development. His work addresses climate variability, jet stream dynamics, and moisture tracking methodologies using models like WAM2layers. Recent studies investigate the global climatology of cyclone clustering and the origins of extreme precipitation events such as the 2021 Western Europe floods. Publications emphasize advancing moisture tracking techniques, analyzing cyclone-cluster formation mechanisms, and understanding climate-driven changes in atmospheric patterns. He collaborates on interdisciplinary projects combining climate models and hydrological data to enhance predictive capabilities for extreme weather events. No ancillary activities or awards are listed. His academic contributions center on advancing meteorological theory and applied climate research through innovative modeling approaches.

Alican NoyanView profile

Senior Lecturer

• Machine Learning
• Deep Learning
• Computer Vision
• +3 more

Alican Noyan is a Senior Lecturer in Applied Data Science and AI at the Academy for AI, Games & Media, specializing in Machine Learning, Deep Learning, and Computer Vision. His research focuses on applying ML to interdisciplinary fields such as physics, biology, engineering, and medicine. Key projects include developing predictive models for organic semiconductors, analyzing biases in agricultural datasets, and creating high-throughput imaging platforms for plant phenotyping. His work spans collaborations across material science, biomedical engineering, and photonics. Notable contributions include a patent on 3D object identification (2024) and a lens-free microscope for sepsis detection (2019). His research emphasizes practical applications, such as self-cleaning optical surfaces for 3D printing and antimicrobial surface assessment using molecular dynamics. Noyan’s articles address diverse topics from crystallography data analysis (2024) to skin disease diagnosis via neural networks (2020). His work bridges theoretical ML advancements with real-world challenges in healthcare, agriculture, and manufacturing.

Stephan HollanderView profile

Professor

• Corporate Communication
• Financial Accounting
• Computational Linguistics
• +3 more

Stephan Hollander is a Full Professor of Financial Accounting at the Tilburg School of Economics and Management (TiSEM) at Tilburg University. He holds a position in the Department of Accountancy and focuses on corporate communication's role in capital market efficiency, regulatory changes' impacts, and computational linguistics applications in accounting. Prior to his academic career, he worked as an auditor at Deloitte. His research combines textual analysis with financial phenomena, addressing topics like tax policy expectations, epidemic disease effects, and Brexit's global economic impacts. Education: PhD (prior Deloitte tenure, though specific institution unmentioned) Research Interests: Corporate communication strategies in capital markets Technological advancements in financial reporting Computational linguistics for earnings disclosures Awards: Recognized with the 2018 Best Paper Award from the American Accounting Association for his work on automated earnings summaries. Advising & Grants: No explicit student advising records provided. His research has been featured in top journals like Journal of Accounting Research and Review of Financial Studies. Labs/Teams: Engaged with the Accountancy Research Group at TiSEM, collaborating on projects involving text-based analysis methodologies.

• Social Justice
• Technology and Law
• AI Ethics
• +3 more

Aviva de Groot is a Research Fellow at Tilburg University's Tilburg Law School and TILT (Tilburg Institute for Law, Technology, and Society). Her work focuses on social justice and technology, particularly the intersection of legal frameworks, AI ethics, and epistemic justice. She holds an LLM and a PhD in Law from Tilburg University (2023). Her interdisciplinary background includes cabinet making, film production, and legal aid, which informs her research approach. Key research areas include legal rights to explanation in automated decision-making, governance of AI technologies, and addressing epistemic injustices through policy reform. She contributes to projects like the Digital Legal Studies initiative and advises on algorithmic governance in Dutch public policy. Publications span critical analyses of EU AI legislation, interdisciplinary collaborations in data science, and practical applications of technology to combat discrimination in sports venues. Her work emphasizes updating legal paradigms to address contemporary challenges posed by socio-technical systems.

Marina MarkellouView profile

Assistant Professor

• Intellectual Property Law
• Cultural Heritage Law
• Art and Technology Law
• +3 more

Marina Markellou is an Assistant Professor in the Faculty of Law at the University of Groningen, specializing in Intellectual Property Law and Cultural Heritage Law. She holds a Ph.D. from the University of Montpellier/University of Athens and has conducted postdoctoral research at the University of Poitiers. Her research focuses on intersections of art, law, and technology, including AI ethics, digital cultural preservation, and emerging tech's legal implications. She leads the AI TRACE project, exploring AI's role in digital arts, and advises on EU-funded projects like VIGILANT and MARINE-EO. Markellou is a member of the Research Ethics Committee of NCSR Demokritos, the International Society for Art and Cultural Heritage Law (ISCHAL), and the EUROPEANA Copyright Community Steering Group. Her work bridges legal frameworks, cultural rights, and technological innovation, addressing challenges in copyright law, ethical AI, and digital heritage accessibility. Education: Ph.D. in Copyright Law (University of Montpellier/University of Athens, 2008) LL.M. in Intellectual Property Law (University of Montpellier, 2005) Admitted to practice law in Greece (2003) Research Interests: Intellectual Property Law, Cultural Heritage Law, AI and Copyright, Digital Rights, Ethical Technology, and Legal Frameworks for Emerging Technologies. Grants & Projects: Principal Investigator of AI TRACE (Hellenic Foundation for Research and Innovation, 2020–2022) EU Horizon 2020 projects (FLY-SEC, TRESSPASS, MARINE-EO, etc.) Awards: AI TRACE Project Funding (2019) Erasmus Teachers' Mobility Award (2011) First Award for Innovative Project 'Visio-fraîcheur' (2007) Labs/Teams: Leads the interdisciplinary AI TRACE team and collaborates with cultural institutions on digital preservation initiatives.

Tobias NowakView profile

Assistant Professor

• EU Law
• Political Science
• International Relations
• +7 more

Dr. Tobias Nowak is an Assistant Professor of Political Science at the Faculty of Law, University of Groningen. He teaches courses such as Politics and Government in the EU and Decision Making in the EU , and co-teaches interdisciplinary projects at University College Groningen. PhD supervision in EU politics/law and international relations/law Research focuses on politics-law interactions in the EU, including judicial application of EU law and AI governance Recent publications with the JuLIA Project and others explore algorithmic governance and interdisciplinary methodologies in EU law. He is a Fellow at the Centre for Law, Administration and Society and a Research Fellow at the Hague Institute. Coordinated FRiCoRe and JuLiA projects Supervises PhD candidate Monika Glavina Contributes to SDGs related to justice and reduced inequalities

• Political Communication
• Journalism Studies
• Digital Media
• +3 more

Dr. Felicia Loecherbach is an Assistant Professor in Political Communication and Journalism at the Faculty of Social and Behavioural Sciences, University of Amsterdam. Her research focuses on digital media ecosystems, news consumption behaviors, and the ethical implications of data donation in algorithmic systems. She develops frameworks to analyze political communication and evaluates user agency in recommendation systems. Her work combines computational methods with sociological and psychological insights, addressing topics like annotation bias, media diversity, and the interplay between algorithms and user decision-making. She co-created tools such as the OSD2F open-source data donation framework and the INCA infrastructure for content analysis. Recent publications emphasize linking digital traces to survey data, exploring participant-centered behavioral research, and critiquing platform responsibilities in facilitating ethical data access. Her research bridges technical innovation with critical social science, advocating for transparency in algorithmic systems.

Mattijs SmitsView profile

Assistant Professor

• Energy Policy
• Environmental Governance
• Sustainable Development
• +7 more

Dr. Mattijs Smits is an Assistant Professor at the Environmental Policy Group of Wageningen University. His research and teaching focus on energy policy, environmental governance, climate finance, and sustainable development, with a regional emphasis on Southeast Asia. He holds a BSc and MSc from Utrecht University and Wageningen University, and PhD degrees from The University of Sydney and Chiang Mai University through a cotutelle arrangement. His work integrates sociological and geographical perspectives to analyze energy transitions, resource management, and the interplay between governance and socio-technical practices. Education Background : BSc from University of Utrecht MSc from Wageningen University PhD (cotutelle) from The University of Sydney and Chiang Mai University Research Interests : Energy policy and politics in Southeast Asia (Laos, Thailand, Vietnam) Climate governance and sustainability transitions Socio-technical practices and actor-network theory Resource management and renewable energy Key Projects : Cross-cultural household energy practices in Global North/South Low-carbon city development in Southeast Asia Wind energy governance through the Holi-Doktor project Development of energy education in the Mekong region (DEEM) Teaching : Coordinates courses on environmental policy analysis, social theory of environmental issues, and international study visits. Supervises MSc theses and internships. Future Work : Focuses on advancing interdisciplinary approaches to energy transitions, climate justice, and the governance of socio-technical practices in Southeast Asia.

• Public Policy Making
• Visual Culture
• Socio-technical Determinants
• +5 more

**Rebecca Moody** is an Associate Professor at the Department of Public Administration, Erasmus University Rotterdam. She holds a PhD from Erasmus University (2010) and a Master's from Leiden University (2005). Her research focuses on the intersection of technology, visual culture, and public policy, including projects like *Visual Culture and Public Policy Making* and *Socio-technical Determinants for Knowledge Creation*. She explores how technologies like GIS, social media, and big data influence policy design, agenda-setting, and citizen-government interactions. **Education**: Bachelor's in Political Science (International Relations), Leiden University Master's in Political Science (2005), Thesis: *Coalition Formation in the UN Security Council* PhD (2010), Thesis: *GIS Influence on Policy Design and Agenda-Setting* **Research Themes**: ICT's role in policy processes (GIS, big data) Social media adoption in governance (China, Canada, Paraguay) Visual technologies in policymaking and accountability Micro-mobilization and new media **Key Projects**: Funded by NWO (2008): Web 2.0 and Micro-mobilization FP7-funded *Unite Europe* (2012): Social media monitoring Current: Socio-technical factors in knowledge creation **Grants & Activities**: Involved in EU-funded projects (FP7) Public engagement through media contributions and invited talks on data-driven governance **Labs & Collaborations**: Erasmus Studio (visual culture research) Co-author of *Big Data and Public Policy* (2023)

• Criminology
• Policing
• Algorithmic Accountability
• +4 more

Martijn Herman Wessels is a Researcher at the Department of Criminology, Erasmus School of Law, Erasmus University Rotterdam, specializing in the intersection of law enforcement, technology, and accountability. His research focuses on algorithmic policing accountability, teknofeudalism, and sociotechnical challenges in law enforcement. He examines responsibility frameworks in digital policing systems and critiques power dynamics in surveillance technologies. His work bridges criminological theory with practical implementations of algorithmic systems in police workflows. Wessels' recent publications (2022-2024) reveal a concentrated research trajectory on algorithmic reliability in policing, identifying eight core sociotechnical challenges including bias mitigation and transparency requirements. His contributions span critical analyses of teknofeudalism in workplace surveillance and practical frameworks for trustworthy algorithmic deployment in law enforcement contexts.

• Financial Engineering
• AI Ethics in Finance
• High-Frequency Trading (HFT)
• +12 more

Ekaterina Svetlova is an Associate Professor specializing in Financial Engineering, with a strong interdisciplinary focus bridging finance, accounting, behavioral sciences, and science and technology studies. Her research centers on financial technologies, AI ethics, high-frequency trading, and the societal impact of financial modeling. She also explores trust, risk reporting, and open data initiatives across corporations, NGOs, and governmental bodies, including collaborations with HM Treasury. Her research interests include AI ethics in finance , systemic risk , behavioral finance , economic sociology , and governance and accountability . She investigates how financial narratives shape expectations and how digitalization impacts governmental reporting and public trust. The recent trend in her publications (2022–2023) reflects a growing emphasis on ethical and societal dimensions of AI in finance, political communication in corporate disclosures (e.g., Brexit), and critical approaches to accounting education. Her work combines theoretical depth with practical relevance, often engaging with policy and regulatory challenges. She has delivered multiple invited talks on topics such as AI ethics, digitalization in reporting, and accountability, indicating active engagement with academic and policy communities. She has advised on projects related to AI skills development and governmental reporting but no formal students are listed. There are no mentions of specific grants or scientific awards in the provided text. Ekaterina Svetlova is involved in research networks and collaborative projects, particularly around digitalization, accountability, and AI governance, though no formal lab or research center is specified.

• Digital journalism
• Media criticism
• Reparative journalism
• +5 more

David Cheruiyot is an Assistant Professor at the University of Groningen's Faculty of Arts, affiliated with the Research Centre for Media and Journalism Studies (CMJS). His research focuses on media accountability, digital journalism, and the role of non-journalists in news production. He holds a PhD and has contributed to over 50 publications in top journals like Digital Journalism and Media, Culture & Society . His work addresses global media challenges, including media criticism, reparative journalism, and democratic accountability. David serves on editorial boards for journals such as SN Social Sciences and African Journalism Studies , and is a member of the Young Academy Groningen. Key research interests include how digital platforms influence journalism, media reforms, and comparative studies across Majority World countries. His awards include the Stuart Hall Prize and Best Dissertation Award. David teaches courses on journalism theory, methods, and media platforms at both bachelor’s and master’s levels. Recent publications explore non-journalist roles in conflict reporting, digital media ecologies in Kenya, and media reparations. His work often intersects with global sustainable development goals, emphasizing media’s role in democracy and social justice.

Anja ErnstView profile

Assistant Professor

• Statistics & Probability
• Intensive Longitudinal Data Analysis
• Statistical Modeling
• +4 more

Dr. Anja Ernst is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Psychometrics & Statistics Department. She holds a PhD in Dynamic Clustering (2022) and focuses on statistical modeling for intensive longitudinal data, clustering methods, and software implementation. Her research includes developing latent class vector-autoregressive models and promoting open-source tools via GitHub and the Open Science Framework. Education: BSc Psychology (cum laude), Honours College Research Master in Psychometrics & Statistics (cum laude) PhD on Dynamic Clustering (supervised by Albers & Timmerman) Research Interests: Ernst's work centers on between-individual differences in longitudinal data, statistical software development, and improving statistical methodology adoption in empirical research. She emphasizes practical applications through freely available code and collaboration with researchers globally. Grants & Awards: Recipient of the NWO Research Talent grant supporting her PhD research. Active in promoting research transparency and open science practices. Teaching & Mentorship: Teaches Advanced Statistics and supervises multiple PhD students focusing on psychometrics and statistical techniques. Leads the Methodology shop supporting students and researchers in methodology design.

• Philosophy of Science
• Technology and Society
• R&D Strategic Alliances
• +3 more

Dr. Paul de Laat is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Bernoulli Institute. His expertise spans Philosophy of Science, Technology and Society, with a focus on strategic R&D alliances, trust mechanisms in digital spaces, and intellectual property rights in software. He teaches informatics, mathematics, and philosophy students, integrating theoretical and applied perspectives. His research examines how procedural and substantive commitments foster trust in business collaborations and cyberspace. Notable projects include analyzing virtual intermediaries for cybersecurity trust, and evolving software intellectual property norms. He contributes to journals like Philosophy and Technology and Ethics and Information Technology , addressing AI ethics, algorithmic transparency, and open-source governance. Dr. de Laat holds a PhD in Sociology (1990) from Groningen University, originally trained as a theoretical physicist. His work bridges organizational sociology, philosophy, and technical systems, emphasizing interdisciplinary solutions to societal challenges. Current research trends include corporate responsibility in AI and Foucauldian critiques of algorithmic power. Professional activities include editorial work for the Social Epistemology Review and Reply Collective and conference participation in social informatics. No specific grants or awards are highlighted, though his extensive publication record reflects sustained academic engagement since the 1990s.