Styliani Kleanthous (female, PhD, University of Leeds, UK) is an Assistant Professor at OUC and a co-director of the Cyprus Center for Trustworthy AI (CyCAT) at the Faculty of Pure and Applied Sciences. Styliani has been involved in several funded research projects, and she acted as a WP leader at the EU-funded CyCAT project and Primary Investigator at OUC for the RIF-funded DESCANT project. She has also been involved in several Erasmus+ projects over the years. Styliani’s main research interests and expertise are concentrated in the area of Human–AI Interaction. In addition to the course for the public, AI in Everyday Life, Styliani coordinated the development of a 2 ECTS course, AI in Education, under contract with the Cyprus Pedagogical Institute (CPI). Styliani is serving as a senior committee member in several international conferences (e.g., ACM IUI, ECTEL).
Jahna Otterbacher (female, Ph.D., University of Michigan at Ann Arbor, USA) is an Associate Professor at the Open University of Cyprus (OUC) and the Dean of the Faculty of Pure and Applied Sciences. She co-directs the CyCAT, devoted to basic and applied research that aims to make data-driven technologies more transparent and useful to everyone. Otterbacher holds a concurrent appointment at the CYENS CoE, where she co-leads the Fairness and Ethics in AI-Human Interaction (fAIre) team. Otterbacher has successfully served as coordinator of both European (e.g., CyCAT), National R&I projects (e.g., PINNACLE and DESCANT).
Maria Kasinidou (M.Sc., University of Bath, UK) holds a Master of Science in Human-Computer Interaction and is currently a PhD student at the Open University of Cyprus. Her research centres on the crucial topic of "Promoting AI Literacy for the Public," addressing the urgent need for widespread understanding of AI. Her work explores how various societal groups—educators, children, and adults—perceive AI and aims to develop tailored educational activities to enhance AI literacy across these demographics. She also serves as a research associate at the Cyprus Center for Trustworthy AI (CyCAT) at the Open University of Cyprus. Her main research interests and expertise are concentrated in the areas of AI Literacy, AI education, and user studies.
Emily Theophilou is a postdoctoral researcher at CyCAT. She received her PhD in Information Technologies from Universitat Pompeu Fabra (UPF), Barcelona, Spain. Her doctoral thesis, “Computer-Supported Mechanisms to Enhance Affective Skills towards Social Media Education”, focused on digital literacy and the development of affective skills in technology-enhanced learning contexts. She holds an MSc in Cognitive Systems and Interactive Media from UPF and a BSc in Multimedia Computing from Coventry University, UK. Her main research interests include human-computer interaction, technology-enhanced learning, human–AI interaction, and the socio-emotional dimensions of computer-supported collaborative learning.
Evgenia Christoforou (female, Ph.D., Universidad Carlos III, Spain) is a Research Associate at the Open University of Cyprus as part of the CyCAT team. She has participated in several funded research projects in the past and was the Coordinator of KeepA(n)I, a project funded in 2022 by RIF. Before that, she worked as a full-time Researcher on the DESCANT project, also funded by RIF. She received her Ph.D. in Mathematical Engineering from Universidad Carlos III of Madrid in 2017, where she was awarded the Outstanding Thesis Award, while simultaneously working on a Ph.D. Student at the IMDEA Networks Institute. She also holds a Master’s and Bachelor’s degree in Computer Science from the University of Cyprus. Previously, she held research positions at CYENS CoE and Politecnico di Torino. Her research focuses on crowdsourcing, with a special emphasis on bias in crowdsourced data and fairness in Artificial Intelligence. More recently, she has been developing skills in creating educational material to raise public awareness on Trustworthy AI.
Fausto Giunchiglia is Full Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento, where he leads the Knowdive research group and is one of the founders of the DataScientia initiative. A former President of the International Joint Conference on Artificial Intelligence (IJCAI), EURAI fellow, Member of the Academia Europaea, he is internationally recognized for his contributions to knowledge representation, contextual reasoning, and human-centric AI. His research has pioneered methods for semantic interoperability and diversity-aware data integration, bridging formal AI and social knowledge systems. Prof. Giunchiglia has extensive experience in EU-funded projects, including KnowledgeWeb, OpenKnowledge, SmartSociety, and WeNet, all centred on making AI understandable and useful to diverse communities. Building on this experience, he has been instrumental in designing MOOCs and introductory AI courses for non-expert audiences, helping students and citizens grasp how AI technologies affect their daily lives. Within the AI4Everyone project, he contributes his long-standing expertise in AI literacy, human-centred design, and education innovation to ensure that AI becomes accessible and beneficial to all.
Matteo Busso is a Research Fellow at the University of Trento and a member of the Knowdive group and the DataScientia network. He holds a PhD in Computer Science and a Master’s degree in Sociology, which he uses to combine computational and social science methods to study human diversity, behavior, and interaction with AI systems. His work, developed within the EU Horizon 2020 WeNet project, focuses on creating diversity-aware, citizen-driven data infrastructures that promote fairness and inclusivity in AI. Dr. Busso has co-designed and taught introductory AI courses and MOOCs aimed at non-expert learners, helping to foster AI literacy and awareness among students from diverse academic and cultural backgrounds. His teaching emphasizes hands-on engagement and ethical reflection, empowering participants to understand and critically assess AI technologies in everyday contexts. In the AI4Everyone project, he lends his expertise in AI education, data ethics, and operationalizing citizen science approaches. He also works to bridge the gap between raw data collection and meaningful insights into human behavior, supporting the development of accessible learning resources for broad and diverse audiences.
Frank Hopfgartner (male, PhD, University of Glasgow, UK) is a Professor of Data Science at the University of Koblenz, where he leads the Institute for Web Science & Technologies (WeST) and coordinates the MSc in Web and Data Science and BSc in Computational Social Science programmes. He is also a Visiting Professor at the University of Sheffield. Frank’s research lies at the intersection of human-centred and responsible artificial intelligence and data science, focusing on how data-driven systems—such as information retrieval and recommender systems—shape and influence people and society. His work integrates methods from data mining, machine learning, natural language processing, and human–computer interaction, often through interdisciplinary and industry collaborations.
Stefania Zourlidou (female, PhD, Leibniz University Hannover, Germany) is a Postdoctoral Researcher at the Institute for Web Science & Technologies (WeST) at the University of Koblenz. Her current research focuses on the application of Artificial Intelligence in education, aiming to enhance learning experiences, improve student engagement, and design personalized and inclusive educational tools. Stefania’s multidisciplinary background—spanning Computer Science, Educational Sciences, and Intelligent Systems—enables her to bridge the gap between technology and pedagogy, contributing to the development of intelligent, learner-centered educational environments.
Amalia De Götzen is an Associate Professor and design researcher exploring Digital Social Innovation at the intersection of Interaction Design and Service Design. She develops tools and methods that connect the analog and digital worlds of services, making experiences more intuitive and meaningful. Amalia has led work packages and contributed as investigator in several European research projects, and she brings extensive expertise in Sonic Interaction Design to create innovative, human-centred solutions.
Luca Simeone is an Associate Professor and design researcher whose work sits at the intersection of design practice, research, and entrepreneurship. His research focuses on how strategic approaches can support design-based innovation and management processes. Luca has founded and managed seven companies and has conducted research and teaching at universities including Harvard, MIT, Polytechnic of Milan, Malmö University, and the University of the Arts London. He (co)authored over 70 publications, including three books and articles in journals such as Technovation, R&D Management, Journal of Knowledge Management, Journal of Business Research, Leonardo, and Visual Studies.
Janhvi Sampat (M.Sc. in Service Systems Design) is a Research Assistant at the Service Design Lab, Aalborg University. She has experience designing AI-enabled services that are human-centred, inclusive, and reliable. During her Master’s, she developed a toolkit to support public service creators in designing AI solutions grounded in trust and real-world impact. Drawing on a diverse background in architecture, fashion, and product design, she brings a cross-disciplinary perspective to complex systems.
Prof. Adam Wierzbicki is a Full Professor of Informatics; a researcher with interdisciplinary knowledge and experience in informatics, psychology and sociology. He is employed at the Polish-Japanese Academy of Information Technology, where he is Vice-President, Head of Ph.D programme (since 2010, this interdisciplinary program involved several hundred students), and leader of a research group in Social Informatics. His research interests lie in Social Informatics, an area of informatics that aims to design information systems and algorithms while taking into account their social and psychological impact, as well the reciprocal impact of human behavior on information systems. Prof. Wierzbicki has been a pioneer of research on Web content credibility. In 2013-2016, he has led the Reconcile project that researched methods of Web content credibility evaluation, pioneering research in this area before the term “fake news” was coined. He is an author of the monograph “Web content credibility” (Springer, 2018). Prof. Wierzbicki is the Steering Committee Chair of the International Conference on Social Informatics (SocInfo), and a Senior Member of ACM. Currently his research team concentrates on diverse aspects of using AI in, especially software engineering.
Kinga H. Skorupska is an Assistant Professor at the Polish-Japanese Academy of Information Technology, specializing in Human-Computer Interaction (HCI) with a current focus on artificial intelligence, UX design, and computer games. She holds a PhD from an ICT and Psychology programme, and her interdisciplinary work bridges psychology, design, and computer science. Her past research includes projects on virtual reality for environmental awareness (VAPE) and studies on well-being and accessibility in VR and mobile technologies. She collaborates with researchers from the National Information Processing Institute, SWPS University, and COST Actions on topics related to human factors, particularly CSCW, stress in digital transformation, and the preservation of early digital heritage. Her research explores how technology supports remote collaboration in work and education, emphasizing stakeholder engagement, user research, and human-AI interaction for social good. Within the Horizon Europe projects Link4Skills and EuOnAir, she applies co-design methodologies to investigate how AI can enhance learning, creativity, and inclusion.
This project is funded by the EU's Erasmus+ Programme under agreement 2025-1-CY01-KA220-HED-000364525 (AI4Everyone)