Dr. Juan Durán is an Assistant Professor at the Faculty of Technology, Policy and Management at TU Delft, specializing in the philosophy of science and technology. His work focuses on computer simulations, AI ethics, Big Data, and the epistemological challenges in computational science. Education: Bachelor/Master in Computer Science and Philosophy, National University of Córdoba (Argentina) PhD in Cluster of Excellence SimTech, University of Stuttgart (Germany) Research interests: Epistemic opacity and trust in algorithms Ethics of medical AI and machine learning Computational reliabilism as a framework for justification Dark data and scientific data governance Teaching roles include courses on ethics and engineering, IT and values, and philosophy of science. His publications include influential works like Computer Simulations in Science and Engineering (2014) and co-authored papers on AI trustworthiness and medical epistemology.
Dr. Almila Akdag is an Assistant Professor in Human-Centered Computing at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. As a Digital Humanities scholar with expertise spanning new media analysis, bibliometrics, and information visualization, she combines qualitative and quantitative methods to study humanities and social data. Research Focus Her interdisciplinary research bridges: Digital Humanities : Computational analysis of cultural artifacts including paintings, poetry, and oral histories Human-Centered AI : Developing empathetic and accessible AI systems Trauma Informatics : Analyzing breathing patterns in oral histories of trauma survivors Cultural Analytics : Studying art communities and online creative platforms Following the 2023 Turkey/Syria earthquake, she is creating an oral history archive to document collective memory of the disaster, with particular focus on Turkish, Kurdish and Syrian diaspora experiences. Awards and Recognition NWO VENI laureate for 'deviantArt: Mapping the Alternative Art World' project Co-initiator of Mellon Grant: 'Tools for Analysis and Visualization of Large Image/Video Collections for Humanities' Leadership and Service Workgroup leader of 'Visual Media and Interactivity' for DARIAH-EU Founding member of International Society for Knowledge Organization (ISKO LC Low Countries Chapter)
Prof. dr. Mirella M.N. Minkman serves as the Vilans Chair in Innovation of Organization and Governance of Integrated Care at Tilburg University's TIAS School for Business and Society. Concurrently, she is CEO of Vilans (National Knowledge Organization for care and support), bridging science, practice, policy, and education through national innovation programs. Her leadership extends to Chair of the National Governance Innovation Advisory Committee (BoZ), Chair of the NVTZ Scientific Advisory Board, Supervisory Board roles at RIBW Brabant and Rivierenland Hospital, and membership in the VGN Committee of Experts. Minkman's research pioneers person-oriented integrated care governance within multi-organizational networks, focusing on leadership, accountability systems, and strategic innovation. She examines how governance modes enable collaborative care models while addressing implementation barriers in healthcare transformation. Her work emphasizes change management frameworks for large-scale system integration, with particular attention to supervision mechanisms and value-based accountability structures across care continua. Analysis of her 15 recent publications (2021-2023) reveals consistent exploration of integrated care governance across Dutch and international contexts. Key thematic clusters include leadership in nursing home care, decision-making dilemmas in service networks, and emerging AI applications in long-term care. Methodologically, her work spans systematic reviews, policy analyses, and implementation studies, predominantly published in the International Journal of Integrated Care and specialized healthcare management outlets. Through Vilans, Minkman directs national knowledge platforms and large-scale implementation programs that connect academic research with practical healthcare innovation. Her international engagement includes board membership with the International Foundation for Integrated Care, editorial roles for the International Journal for Integrated Care, advisory positions with WHO's Integrating the Health and Care Workforce group, and participation in the UK Center for Evidence IMPACT's Critical Friends Group.
Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.
Maurice van Keulen is an Associate Professor affiliated with the University of Twente's research institutes including Datamanagement & Biometrics, Digital Society Institute, and TechMed Centre. His multidisciplinary work bridges computer science, healthcare, and social systems. Research Focus: Van Keulen specializes in artificial intelligence applications with emphasis on: Data management (quality, integration, probabilistic databases) Explainable AI and interpretable machine learning models Healthcare informatics (cancer prediction, medical imaging, outcome analysis) Natural language processing and social media analytics His recent work explores dynamic sparse training, meta-learning for data imputation, and ethical AI frameworks. Publication Trends: Recent articles (2023-2025) show strong focus on: Interpretable AI methods in healthcare diagnostics Robust machine learning under data corruption Meta-learning approaches for data preprocessing 3D medical imaging and reconstruction techniques Awards: Beste paper award (2018) for work on probabilistic data conditioning Supervision & Activities: Has supervised 14 research projects and serves on executive boards including EDBT (Extending DataBase Technology) and IFIP WG 2.6. Leads research on ethical dimensions of AI systems.
Wessel Reijers is a Postdoctoral Researcher at the Department of Media Studies, Paderborn University, Germany, with visiting scholarships at the Technion and the Robert Schuman Centre, European University Institute. Previously, he was a Max Weber Fellow at the European University Institute, a Research Associate in the ERC project "BlockchainGov" led by Dr. Primavera de Filippi, and a postdoctoral researcher at the University of Vienna. Reijers received his PhD in technology ethics from Dublin City University. His academic journey has spanned multiple European institutions, focusing consistently on the ethical implications of emerging technologies for society and citizenship. His research primarily explores how emerging technologies impact citizenship, with particular attention to social credit systems and their effects on civic virtue. He also investigates distributed governance models, analyzing both their potential to enhance democratic processes and their inherent risks. His work bridges philosophy, political theory, and technology studies, offering critical perspectives on how technological developments reshape societal structures. Recent publications demonstrate a growing focus on AI ethics, interpretability, and what he terms "Positive Luddism"—a critical yet constructive approach to technological development that emphasizes human flourishing while acknowledging technology's dangers. Reijers is the author of "Narrative and Technology Ethics" and co-editor of "Interpreting Technology." His upcoming book "Introduction to the Ethics of Emerging Technologies" (2025) further establishes him as a leading voice in technology ethics. His work has gained recognition in both academic and public spheres, with media appearances including a Deutschlandfunk interview on "Positive Luddism" (2024). Beyond academia, Reijers is a creative individual who writes fiction, composes and produces music (available on Soundcloud), and creates paintings. He is part of an international music collaboration called "Conditio Humana," demonstrating his commitment to interdisciplinary engagement between technology, ethics, and the arts.
Gwenn Englebienne is an Assistant Professor at the Digital Society Institute and Human Media Interaction group of Utrecht University. Their research focuses on Artificial Intelligence, Computer Vision, and Human-AI Interaction, with applications in robotics, health, and social computing. They have contributed to over 80 research outputs since 2007, emphasizing embodied AI, social robotics, and explainable machine learning. Research interests span activity recognition, teleoperation systems, and ethical AI design. Notable work includes developing GNN-based group detection algorithms and evaluating chatbot reliability through automated question-answering frameworks. Their studies often bridge technical innovation with human-centered design, such as measuring embodiment via pupil dilation or addressing asymmetry in video-conferencing interactions. Key collaborations include work on social robotics, telepresence systems, and health monitoring using ambient sensors. Publications span conferences like IDA, CogMI, and LREC-COLING, reflecting interdisciplinary impact. A dataset on robot social positioning behavior is publicly accessible via 4TU.Centre for Research Data. Current work explores semi-supervised domain adaptation, spiking neural networks, and the psychological dimensions of AI trustworthiness. They lead initiatives in the Digital Society Institute to align technological advancements with societal needs.
Sylvia C. Pont is a Professor in the Faculty of Industrial Design Engineering at Delft University of Technology (TU Delft), where she leads the Perceptual Intelligence Lab (π-lab). Her work uniquely bridges perception science and design, focusing on multisensory experiences in real-world contexts. Her research interests center on Perceptual Intelligence , particularly the science and application of light, materials, and their interactions with shape and space. She pioneers methods in ecological optics and perception-based lighting design. Her work spans disciplines including human-centered design, visual perception, and sensory experience design. The recent publications highlight a strong trend in understanding how illumination affects perception—ranging from illusory motion to environmental lighting variability and light-material interactions. Her interdisciplinary approach integrates vision science, design, and human factors, often applied in healthcare, computing systems, and art. Associate Editor, Journal of Vision Coordinator of Master’s elective course: Lighting Design Teaches in human factors and multisensory design She has supervised 9 academic works and contributes actively to public discourse through media and public lectures. Her research is supported by extensive datasets and collaborations across institutions. She is involved in lab leadership (π-lab), interdisciplinary research teams, and international conferences such as Dagstuhl Seminar and CHI. Her work continues to advance the integration of perceptual science into intelligent and human-centered design systems.
Caroline Margaux Gevaert serves as Associate Professor in the Department of Geo-information Processing at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), while also holding an appointment at the Digital Society Institute. Her academic career spans geospatial information systems, remote sensing, and the ethical applications of AI in geographical contexts. Dr. Gevaert earned her PhD in Informal Settlement Mapping with Unmanned Aerial Vehicles from the Faculty of Geo-Information Science and Earth Observation (ITC) in 2018, following Master's degrees in Geospatial Information Systems from Lund University (2014) and Remote Sensing from Universitat de Valencia (2013), and a Bachelor's in International Land and Water Management from Wageningen University & Research (2011). Her research focuses on the intersection of artificial intelligence and geospatial science, with particular emphasis on ethical dimensions of AI, algorithmic fairness in geo-intelligence workflows, and applications of machine learning for environmental monitoring. She has developed expertise in UAV applications for informal settlement mapping and flood vulnerability assessment, bridging technical innovation with societal impact. Analysis of her recent publications reveals a strong trend toward addressing ethical challenges in geospatial AI, with increasing focus on algorithmic fairness, explainable AI systems, and accountability frameworks. Her work demonstrates a consistent evolution from technical remote sensing applications toward socio-technical systems that consider both technological capabilities and societal implications. PhD Cum Laude (2018) Professor J.M. Tienstra Onderzoeksprijs 2020 Student Paper Competition Finalist (2017) Dr. Gevaert serves as Chair of De Jonge Akademie (2022-2027) and the International Society for Digital Earth (ISDE), while participating in the Frontier Technology Livestreaming Programme. Her external engagement includes consultancy for the World Bank and presentations on accountability in digital humanitarianism, demonstrating her commitment to applying geospatial intelligence for global development challenges. Her research activities center around geo-intelligence workflows, with particular focus on developing accountable and fair AI systems for spatial analysis. Current projects investigate causality frameworks for bias detection in flood vulnerability assessments and explainable workflows for ecological monitoring, positioning her at the forefront of ethical geospatial AI research.
Sophie Morosoli is a Research Fellow at the University of Amsterdam's Faculty of Social and Behavioural Sciences, affiliated with the AI, Media and Democracy Lab. Her work focuses on AI ethics, misinformation dynamics, and public attitudes toward emerging technologies. Previously, she earned a Master’s in Communication Science from the University of Zurich and completed her PhD in Political Science at the University of Antwerp. Her research explores how individuals interact with AI in journalism, particularly regarding trust, risk perceptions, and authenticity. She also investigates the dissemination of online misinformation, analyzing factors like political attitudes and individual characteristics influencing engagement. Her recent studies address AI governance, including political parties' strategies around AI and the effectiveness of transparency laws like the EU AI Act. Key themes in her publications include cross-national comparisons of disinformation resilience, motivations behind conspiracy theory engagement, and the sociological impacts of AI disclosures. Sophie’s interdisciplinary approach spans political science, media studies, and technology ethics, with a focus on bridging academic research and policy implications. Her lab collaborations emphasize the societal implications of AI in media, aiming to inform regulatory frameworks that balance innovation with accountability. Current projects include studies on generative AI resistance, misinformation mitigation strategies, and the ethical dimensions of AI in journalism practices.
Francesca Toso is an Assistant Professor in Human Centered Design at the University of Venice, where she contributes to interdisciplinary research at the intersection of design, technology, and human well-being. Her work actively supports the UN Sustainable Development Goals, particularly in Education and Health. She has held external positions including Postdoctoral Researcher and Project Manager at Eindhoven University of Technology, where she led initiatives in AI ethics and healthcare robotics. PhD in Design, University of Venice (awarded May 2018) Postdoctoral Researcher & Project Manager, Eindhoven University of Technology (2020–2022) Assistant Professor, Human Centered Design, University of Venice Her research focuses on human-centered and transdisciplinary design, with strong emphasis on ethical AI, co-creation methodologies, and inclusive technologies for vulnerable populations such as people living with dementia. She explores how design can empower marginalized users, promote equity in healthcare, and foster meaningful social communication through technology. Her work integrates psychology, social sciences, and computer science to create tools that are not only functional but also culturally and emotionally resonant. The analysis of her recent publications reveals a consistent trajectory toward critical engagement with emerging technologies—particularly generative AI—in educational and healthcare contexts. Her scholarship emphasizes participatory design, living labs, and stakeholder collaboration, often resulting in open-access outputs and datasets. Themes across her work include accessibility, inclusivity, ethical implications of AI, and the pedagogical transformation of design education. Francesca Toso has delivered multiple oral presentations and organized academic events, including the workshop 'Á la recherche du santé perdue' in 2023. Her scientific contributions have been recognized through citations and downloads, though formal awards are not listed in the provided text. She is actively involved in advising and mentoring through co-design practices in educational settings, as seen in her course development approach. Her collaborative network includes researchers from diverse disciplines and institutions, particularly in the Netherlands and Italy. She has contributed to projects involving industry partnerships aimed at improving technological products for dementia care, demonstrating applied impact beyond academia. Francesca leads and participates in living labs and co-design initiatives focused on dementia care and invisible disabilities. Her dataset 'Á la recherche du santé perdue' exemplifies her commitment to open science and community-driven innovation. These labs function as multi-stakeholder networks integrating patients, caregivers, designers, and technologists to co-create sustainable, user-centered solutions.
Jeroen van den Hoven is a Professor at the Faculty of Technology, Policy and Management at Delft University of Technology . He serves as Editor in Chief of Ethics and Information Technology (Springer) and Founding Chair of the CEPE conference . His affiliations include advisory roles in the EU Commissioner Reding's ICT group , grants from the Dutch Research Council , and collaborations with industry leaders like SUN, IBM, and Getronics . Research Interests Van den Hoven's work bridges ethics, artificial intelligence, and public policy . He focuses on value-sensitive design , responsible innovation , and moral philosophy applied to emerging technologies. His research addresses AI governance , privacy , and ethical frameworks for autonomous systems , with applications in healthcare, military technology, and smart cities . Scientific Contributions His recent publications explore trust in foundation models , transparency in AI , and human control over autonomous systems . Themes include epistemic dependence in healthcare AI , democratic integrity in digital eras , and ethical guidelines for military applications . Awards & Grants Recipient of multiple Dutch Research Council grants , he advocates for ethical design principles and chairs international conferences on computer ethics . His advisory roles span Dutch government commissions and EU ICT policies .
Arvid Q.L. Keemink is an Assistant Professor in Biomechatronics and Rehabilitation Technology at the TechMed Centre , University of Twente. His research focuses on exoskeletons, neuromuscular modeling, and human-robot interaction for rehabilitation and dynamic balance assistance. Robotics and control systems Biomechanics and neuromuscular modeling Rehabilitation engineering Machine learning applications His recent publications emphasize lower-limb exoskeletons, momentum-based control algorithms, and spinal reflex circuitry modeling. Key subfields include dynamic trajectory optimization , disturbance recovery , and joint impedance analysis . Collaborations with researchers like Herman van der Kooij and Massimo Sartori highlight his interdisciplinary approach.
Dr. Timo Klein serves as an Assistant Professor in Competition Economics at Utrecht University's School of Law within the Department of International and European Law. He maintains this academic position while working as a senior economic consultant for Oxera Consulting LLP. Dr. Klein teaches Advanced EU Competition Law and Economics courses and conducts research at the intersection of economics and legal frameworks, specializing in contemporary competition policy challenges. Dr. Klein earned his BSc in Economics and Business (2013, University of Amsterdam), MSc in Political Economy of Europe (2014, London School of Economics), and MPhil in Economics (2016, Tinbergen Institute). He completed his PhD at the University of Amsterdam (2016-2020), during which he also worked at the Chief Economist Team at DG Competition, European Commission. His research focuses on economic dimensions of competition law with particular emphasis on algorithmic collusion, pricing algorithms, and digital markets regulation. He examines how emerging technologies challenge traditional competition policy frameworks through theoretical, empirical, and computational approaches. His work spans sports economics, dark patterns in consumer protection, merger control theories, and abuse of dominance cases, often analyzing European Court of Justice rulings and their economic implications. Dr. Klein's publication record demonstrates consistent engagement with cutting-edge competition policy issues, bridging theoretical economic models with practical legal applications. His research frequently appears in leading competition law journals, addressing topics from autonomous algorithmic collusion to ecosystem theories of harm in digital markets. While specific advising details aren't documented, Dr. Klein's academic position suggests involvement in student supervision. His dual role as academic and consultant indicates practical application of research to inform policy development and business practices in competition economics.
Shwetha Mariadassou serves as Assistant Professor in the Department of Marketing Management at Rotterdam School of Management, where her research bridges artificial intelligence, consumer psychology, and marketing strategy. Her work examines human interactions with algorithmic systems in commercial contexts. Her primary research domains include: Consumer reactions to AI-driven recommendations Psychological mechanisms behind algorithmic aversion Design principles for ethical recommendation systems Impact of multimodal (auditory/visual) interfaces on decision-making Human-AI collaboration frameworks in marketing Recent publications (2023-2024) demonstrate consistent focus on optimizing algorithmic transparency and user experience. Key findings reveal consumers' paradoxical acceptance of algorithmic outputs despite distrusting their labels, and how preference-aligned algorithms enhance consumer welfare. Her experimental approach integrates computer science methodologies with psychological theory to advance responsible AI deployment in marketing. No information is available regarding her academic advisees or research funding sources in the provided materials.
