Dr. Jillianne Code is an Associate Professor at the University of British Columbia's Faculty of Education, Department of Curriculum & Pedagogy, directing the ALIVE Research Lab. Her work focuses on learner agency, educational technologies, and social media's impact on student success. Specializes in immersive virtual environments for assessment Researches self-regulated learning and formative feedback Investigates health education through digital interventions Her recent publications examine pandemic-era educational transitions, digital literacy in teacher training, and cognitive tools in virtual reality. She has received Outstanding Paper Awards for her work on immersive assessment. Dr. Code leads research projects on learning analytics, student engagement in digital spaces, and technology education sustainability. Her work bridges educational theory with practical interventions through digital badges, mobile health applications, and 3D learning environments.
Prof. Dr. Oliver Müller is a Professor at the Department of Philosophy, University of Freiburg, and serves as Vice Dean of the Faculty of Philosophy. His academic journey includes a doctorate from Humboldt University Berlin (2005) and a habilitation in Philosophy (2012). Müller leads research on Philosophical Anthropology, Philosophy of Technology, and Ethics, with a focus on human-machine interactions and Anthropocene ethics. He supervises doctoral and postdoctoral researchers across projects like livMatS and BrainLinks-BrainTools. Research interests span neuroethics, transhumanism, and socio-technological systems, emphasizing ethical frameworks for emerging technologies. Publications explore AI ethics, drone warfare, and phenomenological embodiment, reflecting interdisciplinary engagement with neuroscience and environmental philosophy. Honors include the MTZ Bioethics Award and Heisenberg Fellowship. Müller directs participatory discourse initiatives bridging art and science, fostering public engagement with technological ethics. His work advances critical dialogues on human enhancement and ecological responsibility in the digital age.
Aage Hill-Madsen is an Associate Professor at the Department of Culture and Learning, Aalborg University (Denmark), affiliated with the Communication, Language, and Discourse (CLD) research unit. His work focuses on translation studies, medical communication, and systemic-functional linguistics. He holds a Cand.mag. et ling.merc. and a PhD in English linguistics. Research Interests: Translation theories (especially intralingual translation) Medical terminology simplification and communication Systemic-functional grammar applications Legitimation Code Theory in educational contexts Genre analysis of specialized texts Semiotic approaches to knowledge transmission Recent Publications Trends: His 2024-2025 work emphasizes medical translation between technical and lay audiences, with studies on EPAR summaries, patient information leaflets, and historical East-West medical terminology exchanges. He combines functionalist translation theory with systemic-functional frameworks to analyze textual transformations. Grants & Projects: Participated in the 2024-ongoing project Udvikling af kommunikative kompetencer gennem frivilligt brobygningsarbejde i NGO’en Social Sundhed , exploring communication skills through NGO activities. Academic Engagement: Active peer reviewer for journals like Globe and Across Languages and Cultures , with conference presentations on intralingual translation strategies and medical text accessibility.
Lorrie Faith Cranor is the Director and Bosch Distinguished Professor in Security and Privacy Technologies at the CyLab Security and Privacy Institute, and the FORE Systems University Professor of Computer Science and Engineering and Public Policy at Carnegie Mellon University. She also directs the CyLab Usable Privacy and Security Laboratory (CUPS) and co-directs the MSIT-Privacy Engineering master’s program. She previously served as Chief Technologist at the U.S. Federal Trade Commission and is a co-founder of Wombat Security Technologies. Carnegie Mellon University – CyLab Security and Privacy Institute School of Computer Science – Department of Computer Science College of Engineering – Department of Engineering and Public Policy PhD Program in Societal Computing Human-Computer Interaction Institute (affiliate) Heinz College (affiliate) Dr. Cranor’s research centers on usable privacy and security, privacy engineering, and technology policy. Her work spans authentication systems, privacy policies, IoT security, and human behavior in digital environments. She has pioneered research on password usability, privacy labels (e.g., 'nutrition labels' for privacy), and privacy decision-making. Her interdisciplinary approach integrates computer science, public policy, and behavioral science to create systems that are both secure and user-friendly. Her recent publications reflect a strong focus on privacy interfaces, consent mechanisms, IoT security labels, and user comprehension of digital privacy. Trends include evaluating the usability of privacy controls across platforms, designing tools for developers to generate accurate privacy disclosures, and understanding user behavior in online tracking and advertising contexts. Her work frequently appears in top venues such as CHI, SOUPS, and PETS. ACM CHI Academy inductee ACM Fellow IEEE Fellow 2018 ACM CHI Social Impact Award 2018 International Association of Privacy Professionals Privacy Leadership Award 2018 IEEE Cybersecurity Award for Practice Alumni Achievement Award, McKelvey School of Engineering Top 100 Innovator under 35, Technology Review Dr. Cranor has advised numerous PhD students in interdisciplinary programs including Societal Computing, Engineering and Public Policy, and Human-Computer Interaction. Her research has been supported by grants from the National Science Foundation, DARPA, and industry partners. She serves on the boards of the Computing Research Association, Center for Democracy and Technology, and Electronic Privacy Information Center. She is a frequent media commentator on privacy and security issues. She leads the CyLab Usable Privacy and Security Laboratory (CUPS), a multidisciplinary research group that includes faculty and students from computer science, policy, and HCI. The lab focuses on making privacy and security systems more intuitive, effective, and user-controlled. Key projects include the Usable Privacy Policy Project, privacy nutrition labels, and the Personalized Privacy Assistant Project.
Professor D Graham J Shipley is the Professor of Ancient History at the University of Leicester's School of Archaeology and Ancient History since 2002. His research focuses on Hellenistic and Classical antiquity, particularly on political landscapes, environmental studies, and urban planning. He holds a D.Litt. from the University of Oxford (2020) and is a Senior Fellow of the Higher Education Academy (2014). Education: Graduated in Classics from Oxford University. Academic roles include serving on the Oxford Classical Texts Committee and the UK Education Honours Committee. Previously chaired the Council of University Classical Departments and convened the Dorothy Buchan Memorial lectures. Research interests emphasize ancient geography, socio-political structures, and environmental interactions. His work spans studies of Sparta, Greek urban planning, and the cultural impact of Hellenistic expansion. Recent publications examine Pseudo-Skylax's geographical texts and post-Alexandrian political dynamics. Scientific Awards: Senior Fellow of the Higher Education Academy (2014) D.Litt. (Doctor of Letters) from University of Oxford (2020) Advising and Grants: No specific advisees listed, but supervises research in ancient history and archaeology. Active in collaborative projects such as the Laconia Survey. Grants have supported archaeological fieldwork and publication initiatives. Labs/Teams: Collaborates with the Oxford Classical Texts Committee and has led interdisciplinary teams in regional archaeological surveys.
Glen Chou is an Assistant Professor at Georgia Institute of Technology, holding appointments in the College of Computing (School of Cybersecurity & Privacy), College of Engineering (School of Aerospace Engineering), and a secondary appointment in the School of Electrical and Computer Engineering. He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) and Machine Learning Center. His research focuses on developing trustworthy algorithms for robotic and autonomous systems, integrating control theory, machine learning, optimization, perception, formal methods, planning, human-robot interaction, and statistics. Applications include robotic manipulation, aerospace autonomy, and cyber-physical systems. He earned dual B.S. degrees in EECS and ME from UC Berkeley (2017), followed by M.S. (2019) and Ph.D. (2022) in ECE from the University of Michigan. Prior to joining Georgia Tech in 2024, he was a postdoc at MIT CSAIL. Scientific Awards: National Defense Science and Engineering Graduate (NDSEG) fellowship NSF Graduate Research Fellowship Robotics: Science and Systems (R:SS) Pioneer (2022) The Trustworthy Robotics Lab, founded by Chou, seeks to validate theoretical guarantees of algorithms in real-world hardware deployments. The lab is currently recruiting PhD students (Fall 2025, deadlines December 2-16, 2024) and welcomes UG/MS student collaborations.
Ge Tiffany Wang is an incoming Assistant Professor at the University of Illinois Urbana-Champaign, Department of Computer Science (starting Aug 2025), with research focusing on Human-Computer Interaction , Human-Centered Artificial Intelligence , and Usable Security & Privacy . She leads the OATS Lab (Openness, Autonomy, Trust in Supportive AI), which investigates how AI systems can better support user agency, particularly for vulnerable populations like children. Education : D.Phil. in Computer Science, University of Oxford MSc in Information Science, University College London BSc in Physics, University of Oxford Her research includes designing systems like CHAITok (for children's data control) and the KOALA Hero Toolkit (for educating families about data risks). She will complete a postdoctoral fellowship at Stanford HAI (2024-2025) before joining UIUC. Her work bridges technical design with ethical considerations, emphasizing child development and algorithmic accountability. Scientific Contributions : 15 most recent articles focus on decentralized social media, AI ethics for children, and data autonomy tools Key trends: algorithmic transparency, child-centered AI, and family data literacy
Leia Stirling is an Associate Professor in Robotics and Industrial Operations Engineering at the University of Michigan, serving as Associate Chair of Undergraduate Studies in Robotics. She is Core Faculty at the Center for Ergonomics and Affiliate Faculty at the Space Institute. Her research focuses on human-system interactions in robotics, biomechanics, and decision support systems. Key areas include wearable motion sensing for decision-making, co-adaptive exoskeleton algorithms, and space mission operations tools. Her group blends human factors, biomechanics, and robotics to design technology that enhances human performance in complex tasks. She leads the Stirling Group, which develops metrics for injury risk assessment, exoskeleton usability, and space crew readiness evaluation. Her lab’s work has applications in industrial safety, healthcare rehabilitation, and astronaut training. Research Thrusts: Wearable Motion Sensing: Creates metrics for musculoskeletal injury risk, balance rehabilitation, and quantitative assessment of agility/coordination. Exoskeleton Usability: Develops co-adaptive control algorithms and studies trust dynamics between users and wearable robots. Space Operations: Designs tools for astronaut readiness, human-aware robotics, and extravehicular activity planning. Recent work includes studies on neonatal ventilation systems, space inspection trajectory optimization, and augmented reality for sensorimotor assessments. She teaches robotics courses including ROB 204: Introduction to Human-Robot Systems. Her work has been featured at IROS 2023 and NASA-related initiatives. Lab Website: stirlinglab.org
Prof. Dr. Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn. She serves as Director of the Institute for Science and Ethics (IWE) and founded the Bonn Sustainable AI Lab. Her affiliations include the German National Academy of Sciences Leopoldina, the European Commission's High-Level Expert Group on AI (2018-2020), and advisory roles at Deloitte, the World Economic Forum, and the Konrad Zuse Schools for AI Excellence. . Education PhD in Applied Ethics, University of Twente (2012) M.A. in Bioethics, Erasmus Mundus (2008) M.A. in Applied Ethics, Catholic University of Leuven (2007) B.Sc. in Honours Cell Biology, University of Western Ontario (2006) Research Interests focus on integrating ethical frameworks into AI and robotics design. Key areas include AI ethics, robotics ethics, digital ethics, care ethics, and value-sensitive design. She pioneered ethical guidelines for care robots and explores systemic risks in AI sustainability. Publication Trends show a shift toward sustainability challenges in AI, analyzing hidden environmental costs, post-colonial biases in AI standards, and structural ethical frameworks. Her work bridges philosophy, technology, and policy to address global AI impacts. Scientific Awards L'Oréal UNESCO For Women In Science Award (2018) Grants include a 3.8M EUR Mercator Foundation grant (2022), 3.5M EUR Humboldt Professorship (2021), NWO Gravitation Grant (2020), and others. She advises governments and institutions on AI ethics and co-founded the Foundation for Responsible Robotics. Labs & Teams : She leads the Bonn Sustainable AI Lab and has directed the Artificial Intelligence Lab at TU Delft. Her work involves interdisciplinary collaborations, including the interdisplinary task force at Aarhus University (2025).
Steven Kelts is a Lecturer at Princeton University, affiliated with the School of Public and International Affairs (SPIA) and the Department of Computer Science . He leads the Integrated Ethics in CS program and has served as Director of the non-profit All Tech Is Human. Research Focus: Kelts examines ethical frameworks in technology innovation, historical political economies, and the intersection of democratic theory with corporate responsibility. His work spans Measuring ethics education in computing Evolving corporate structures for ethical action Locke's economic justice theories Machiavelli's republican ideals Madison's institutional designs Publications reveal trends in: Utilitarian logic in Agile teams Roman censorship models 17th-century English economic debates Mill's social value legislation Scientific Recognition: Recipient of Princeton's Council on Science and Technology grants for Agile Ethics program Google seed grant for corporate ethics frameworks University-wide award for GradFutures AI ethics leadership Advisory Roles: Includes ethics advisor to the Responsible A.I. Institute and institutional design mentor for political theory projects.
Professor Sandra Wachter is a leading academic in legal and ethical implications of AI, Big Data, and robotics at the Oxford Internet Institute (OII) , University of Oxford, and as Humboldt Professor at the Hasso Plattner Institute. She leads the OII's governance of emerging technologies (GET) research programme , focusing on AI regulation, algorithmic bias, and human rights. Affiliations : Berkman Klein Center (Harvard University), World Economic Forum, UNESCO, IEEE, World Bank, Bonavero Institute of Human Rights, Oxford Martin School, and more. Research : Legal and ethical frameworks for AI, explainability (notably Counterfactual Explanations ), fairness metrics, and combating algorithmic discrimination through her Conditional Demographic Disparity (CDD) tool. Awards : Alexander von Humboldt Foundation Research Award (2025), O2RB Excellence in Impact Award (2021, 2018), Computer Weekly Women in UK Tech (2021), Privacy Law Scholar (2019), CognitionX Outstanding Achievements (2023, 2017). Impact : Her work is implemented by Google, IBM, Amazon, and Microsoft; influences NHS and MHRA policies; and has been cited in major media outlets including The New York Times, BBC, and Nature.
FOONG Pin Sym is a Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. She leads the Telehealth Core, a research center focused on developing and studying eHealth projects. Her academic background includes a Master's in Human Computer Interaction Design and a PhD in Interactive Media. Her research emphasizes patient-centered technologies, with a focus on chronic disease prevention, caregiver support, and mobile health applications. Her work addresses challenges in healthcare decision-making, end-of-life care, and lifestyle interventions. Notable projects include developing digital tools for diabetes risk communication, caregiver decision support systems, and studies on telehealth during the pandemic. She teaches courses in Human-Computer Interaction, Mobile Interaction Design, and Technology for Older Adults. Her research spans qualitative and quantitative methodologies, including randomized controlled trials and participatory action research. She actively participates in interdisciplinary collaborations across health, technology, and design sectors to improve patient and caregiver outcomes. Education: PhD in Interactive Media, Master's in Human Computer Interaction Design Labs/Teams: Leads the Telehealth Core research team Grants/Projects: SMART-GDM Study, Vita project for dementia care
Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.
Ian Ewart is an Associate Professor at the University of Reading's School of the Built Environment, serving as Head of Construction and Engineering Management and Research Group Lead for Organisation, People and Technology. He chairs the Research Ethics Committee since 2016 and supervises undergraduate/postgraduate dissertations. His academic journey spans engineering and anthropology: DPhil Social and Cultural Anthropology, University of Oxford, St Hugh's College (2007-2012) MSc Material Anthropology and Museum Ethnography, University of Oxford, St Hugh's College (2006-2007) BA (Hons) Archaeology and Anthropology, University of Oxford, Harris Manchester College (2003-2006) Diploma in Management Studies, University of the West of England (1990-1994) BEng (Hons) Mechanical Engineering, Staffordshire University (1983-1987) Ewart's research integrates ethnographic methods with digital technology studies, examining human-technology interactions in construction and domestic settings. His work bridges engineering practice and social anthropology, focusing on skill transmission, sustainable design, and multisensory experiences in virtual environments. Publications from 2025-2013 reveal a dominant trajectory in digital twins for socio-ecological sustainability, VR-based occupant behavior prediction, and HBIM for heritage conservation. The corpus demonstrates consistent cross-disciplinary innovation, merging archaeological reconstructions with healthcare applications while maintaining anthropological rigor. Key recognition: ESRC Future Research Leader fellowship (2013) for Designing Healthy Homes project He supervises PhD candidates like Afolabi Dania (Nigerian sustainable construction) and Joanna Hull (Heritage BIM), leveraging ESRC funding for ethnography-VR health studies. His grants emphasize participatory design and real-world impact assessment in built environments. Leaders the Organisation, People and Technology research group, developing multisensory Roman town reconstructions with sound/smell integration to advance archaeological and architectural experience modeling.
Prof. Diane DE SAINT AFFRIQUE is a full-time Professor at SKEMA Business School (France) since 2019, specializing in Business Law, Ethics, and Governance. She holds a Doctorat d'Etat en Droit (2002) from Université Paris 2 Panthéon-Assas, with additional qualifications from ESSEC Business School and other institutions. Her academic leadership roles include Head of the Contract Law Master program (2016–present), Head of the Law Department (2003–2014), and responsible for the Master in Business Law (2006–2016). Research Focus: Her work centers on corporate governance, sustainable finance, AI ethics in healthcare and business, and legal frameworks for responsible business practices (RSE). She explores tensions between regulatory compliance and corporate autonomy, with recent emphasis on duty of vigilance legislation and AI accountability. Key Contributions: Over 30+ publications include analyses of: Legal implications of AI in medicine and business Corporate social responsibility and judicialization trends Religious freedom in French workplaces Data sovereignty and AI governance Affiliations & Impact: She chairs the French Academy of Legal Studies and Business, serves on the Board of VITAMINE T, and advises institutions like IFSI Ambroise-Paré. Her work frequently bridges legal theory with practical business challenges, emphasizing interdisciplinary solutions for global governance issues.
