Professor Nancy W. Y. Law is a leading scholar in Learning Sciences and Technology at the University of Hong Kong's Faculty of Education . She has served as Founding Director of the Centre for Information Technology in Education (CITE) (1998-2013) and currently holds the Chair of Learning Sciences and Technology . Her career spans over 25 years of international comparative studies, policy analysis, and large-scale educational innovation. Current roles: Associate Dean (Strategic Development), HKU Key affiliations: Sciences of Learning Strategic Research Theme (co-convener) Research Expertise Her work focuses on technology-enhanced learning , digital literacy , knowledge building communities , and multilevel educational change . She pioneered network models of teacher innovation and socio-technical frameworks for sustainable pedagogical transformation, particularly in STEM education and Cyberbullying prevention . Scientific Leadership With over 25 major research grants (2000-2023) exceeding HK$50 million, she leads projects like: Learning and Assessment for Digital Citizenship Jockey Club Self-directed Learning in STEM Design-Aware Learning Analytics A Fellow of the International Society of Learning Sciences and recipient of the HKSAR Humanities and Social Sciences Prestigious Fellowship , she has supervised numerous international comparative studies including SITES 2006, ICILS 2013, and longitudinal digital citizenship research (2019-2021).
Cecilie Schou Andreassen is a Professor at the Department of Clinical Psychology, University of Bergen . She specializes in behavioral addictions , including workaholism, social media addiction, and substance use interactions. Email: cecilie.andreassen@uib.no Visitor Address: Alrek Health Cluster, Årstadveien 17, 5009 Bergen Research Focus: Andreassen's work examines the psychosocial antecedents of addictive behaviors, with emphasis on personality traits , workplace dynamics , and digital platform interactions . Her research spans cross-cultural validation studies and longitudinal health outcomes related to technology and substance misuse. Article Trends (2017-2022): Analyzing 15 recent publications reveals a consistent focus on addiction scale validation , social media epidemiology , and workaholism's health impacts . Key themes include measurement invariance , digital-chemical addiction comorbidity , and psychological withdrawal mechanisms . Scientific Contributions: Co-developer of Bergen Work Addiction Scale Creator of Bergen-Yale Sex Addiction Scale Leadership in behavioral addiction epidemiology Recipient of Norwegian Research Council grants Advising & Collaborations: While no direct advisees are listed, Andreassen collaborates extensively with international researchers in work psychology , social media studies , and public health . Her work involves partnerships with Nottingham Trent University , Yale University , and National Competence Service for Sleep Disorders . Labs & Teams: Affiliated with the Department of Clinical Psychology and previously with the Department of Social Psychology at University of Bergen, she contributes to national health registry studies and cross-occupational research on addiction patterns.
Dr. Vasileios Stavropoulos is the Associate Dean, Higher Degree Research at RMIT University's Department of Health and Biomedical Sciences. His research focuses on behavioral addictions, digital phenotyping, and the psychological impacts of digital media, particularly in gaming and social media contexts. He supervises numerous research projects addressing topics like cyber-phenotyping via text mining, disordered gaming, and the interplay between digital media and mental health. Key research interests include the psychological mechanisms underlying problematic gaming and social media use, network analysis of addiction symptomologies, and the role of user-avatar bonds in behavioral disorders. His work integrates machine learning and behavioral science to predict and analyze addictive behaviors. Dr. Stavropoulos has published extensively on gaming disorder, social media addiction, and the mental health implications of digital media use. His collaborations span clinical psychology, public health, and computational methods, reflecting his interdisciplinary approach to addressing modern behavioral challenges. He is actively engaged in higher degree research governance at RMIT, overseeing doctoral programs and fostering innovation in research methodologies. His contributions include developing scales for measuring addiction behaviors and advancing longitudinal studies on mental health correlations with digital engagement.
Deepak Ganesan is a Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. His research focuses on low-power sensing and communication, networked systems, and machine learning applied to pervasive health monitoring and societal challenges. PhD, Computer Science, University of California, Los Angeles (2004) MS, Computer Science, University of California, Los Angeles (2000) BTech, Computer Science, Indian Institute of Technology, Madras (1998) Ganesan's work bridges wireless sensor networks, smart textiles, and healthcare applications. He designs ultra-low-power wearable devices for tracking health signals like drug use, smoking, and cognitive performance, often integrating machine learning for robust detection. His research emphasizes societal impact, particularly in aging and Alzheimer's care through the Massachusetts AI and Technology Center for Connected Care (MassAITC) and the Center for Personalized Health Monitoring (CPHM). Recent publications highlight innovations in edge-cloud collaboration, fabric-based sensors, and longitudinal health analytics. His NIH-funded MD2K Center for Excellence and affiliations with the Center for Data Science and Computational Social Science Institute further underscore his interdisciplinary approach. ACM Fellow NSF CAREER Award (2006) IBM Faculty Award (2008) UMass Junior Faculty Fellow (2008) UMass Lilly Teaching Fellow (2009) Best Paper at CHI 2013 Best Paper Runner-up at Mobicom 2014 Honorable Mentions at Ubicomp 2013 Ganesan leads the SENSORS: Wireless Sensor Networks Group and contributes to global initiatives like the Internet of Battlefield Things. His work spans academic research, industry partnerships, and policy development in AgeTech and digital health.
Professor Sir Nigel Shadbolt is Principal of Jesus College Oxford and Professor of Computing Science at the University of Oxford. He is Chairman and Co-founder of the Open Data Institute which he established with Sir Tim Berners-Lee. His career spans multiple prestigious institutions including the University of Southampton and University of Nottingham, where he held leadership roles in AI research. He has served in significant government advisory positions including as Information Advisor to the UK Prime Minister and member of the Public Sector Transparency Board. Nigel Shadbolt earned his undergraduate degree in Philosophy and Psychology from the University of Newcastle (1st Class Honours, 1978) followed by a PhD in Artificial Intelligence from the University of Edinburgh. His academic journey includes positions as the Allan Standen Professor of Intelligent Systems at Nottingham and leadership of the Web and Internet Science Group at Southampton before joining Oxford. Shadbolt's research spans the interdisciplinary field of Web Science, which he helped originate, focusing on human-centered AI, social machines, open data, and ethical considerations in technology. His work examines how humans and computers integrate at web scale to create novel applications, with recent emphasis on children's digital autonomy and privacy. He has published over 500 articles exploring topics from cognitive psychology to computational neuroscience, Artificial Intelligence to the Semantic Web. His notable contributions include the development of data.gov.uk and leadership in establishing Oxford's Institute of Ethics in AI. His 2018 book 'The Digital Ape: how to live (in peace) with smart machines' has been described as a 'landmark book' in the field. Knighted in 2013 for services to science and engineering Fellow of The Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) Fellow of the British Computer Society (FBCS) Technology Pioneer status by the Davos World Economic Forum UK national BT Flagship IT Award As an advisor, Shadbolt has supervised numerous PhD students who have gone on to positions at Google DeepMind, the World Bank, and other prestigious institutions. His research has been supported by multiple grants including SOCIAM, KOALA, and ReTiPS projects. He co-founded Garlik Ltd, which was acquired by Experian, demonstrating his commitment to translating research into practical applications that benefit society. Shadbolt leads the Web and Internet Science research group at Oxford, focusing on social machines - applications that succeed at web scale by integrating humans and computers in novel ways. His work on the KOALA Hero Toolkit and CHAITok system addresses critical challenges in children's data autonomy on social media platforms, reflecting his commitment to ethical technology design.
Swati Aggarwal is a Professor in Artificial Intelligence at the Faculty of Logistics, Molde University College (HiMolde). Her research focuses on AI applications in healthcare, ethics, cognitive development, and neural networks. She holds a PhD in Neutrosophic Neural Networks, a Master's in Information Technology, and a Bachelor's in Computer Science and Engineering. Previously, she was a Marie Curie Postdoc Fellow at NTNU, working on AI models for cognitive assessment in infants (AIM_COACH project). Research Interests - AI in Health/Medicine - Ethics in AI and Societal Impact - EEG/BCI for Cognitive Assessment - Machine Learning and Deep Learning Publications Her recent work spans AI ethics, BCI applications, adversarial attacks, and healthcare diagnostics. Notable contributions include EEG-based infant perceptual monitoring (2025) and malaria detection via EfficientNet (2023). She also explores cross-lingual adversarial robustness and blockchain in hospitality systems. Labs/Teams - ABC-AI: Applied, Basic, and Conscientious AI Group - Virtual Technologies and Learning Research Group
Dr. Patrick Scholten is Professor of Economics at Bentley University, researching industrial organization, e-commerce economics, and applied game theory. His work analyzes firm behaviors in online markets using econometric methods. Education includes: PhD in Economics, Indiana State University MS in Student Affairs and Higher Education, Indiana State University Research examines price dispersion, network effects, ID verification impacts, and corporate social responsibility expectations. Recent publications focus on geo-cultural FDI determinants and business sustainability pressures.
Patrick Skeba is a Teaching Assistant Professor at the University of Pittsburgh's Department of Computer Science within the School of Computing and Information. He holds a PhD in Computer Science from Lehigh University (2022) and bachelor's degrees in Cognitive Science and Computer Science from Johns Hopkins University (2017). His research focuses on internet privacy, AI ethics, and the responsible use of data. He teaches courses in machine learning and programming. Research Interests: Skeba's work bridges technology and societal impact, emphasizing privacy risks in data systems, algorithmic fairness, and user-centric privacy frameworks. His recent studies explore informational friction in data collection, community-based privacy strategies, and lay-expert disparities in understanding privacy-enhancing technologies (PETs). Publications: His articles analyze privacy dynamics in digital spaces, from pandemic-era discourse on r/privacy to methodological approaches for categorizing technology non-use. His earlier work includes breakthroughs in sleep disorder diagnostics, particularly periodic leg movement (PLM) analysis and telemedicine applications for neurological conditions. Awards: No scientific awards listed. Grants and advising details are currently unspecified. Labs/Teams: No specific lab affiliations mentioned in provided materials. His teaching and research emphasize collaboration across computational and social domains.
Frank Chan is a Professor of Information Systems at ESSEC Business School in France, where he currently serves as Department Head of Information Systems, Decision Sciences and Statistics (2022-2025). He has been with ESSEC since 2013, progressing from Assistant Professor to Associate Professor and now Professor. His academic career focuses on the intersection of information systems, public administration, and organizational behavior. Dr. Chan earned his Ph.D. in Information Systems from Hong Kong University of Science and Technology (HKUST) in 2010 and completed his BBA in Information Systems and Finance from the same institution in 2003. His educational background provided the foundation for his research in technology implementation and electronic government. His research interests span electronic government, technology implementation, agile methodologies, and internet privacy. Dr. Chan's work examines how digital technologies transform public services, organizational processes, and citizen experiences. He investigates the human aspects of technology adoption, including leadership dynamics in agile teams, citizen satisfaction with e-government services, and privacy concerns in digital environments. His multidisciplinary approach combines insights from information systems, public administration, and organizational behavior. Analysis of Dr. Chan's publication record reveals a consistent focus on e-government systems and technology implementation, with increasing attention to agile development methodologies in recent years. His work demonstrates a progression from foundational technology adoption studies to more nuanced investigations of leadership dynamics, privacy concerns, and the societal impacts of digital initiatives. The interdisciplinary nature of his research bridges business, public administration, and technology domains. Pacific Asia Conference on Information Systems Best Associate Editor Award (2022) International Conference on Information Systems Outstanding Associate Editor Award (2019) MIS Quarterly Reviewer of the Year Award (2019) MIS Quarterly Reviewer of the Year Award (2018) Journal of Operations Management Ambassador Award (2017) Finalist for Journal of Operations Management Jack Meredith Best Paper Award (2012) As a Senior Editor for Information Systems Journal since 2021 (previously Associate Editor 2016-2020), Dr. Chan has significantly contributed to the academic community. He has served as Track Co-Chair for major conferences including International Conference on Information Systems and Pacific Asia Conference on Information Systems. His consulting work with United Nations ESCAP on digitalization of tax administrations in Asia demonstrates the real-world impact of his expertise. Dr. Chan teaches courses in Research Design, Quantitative Research Methods, and Digital Business at ESSEC.
Netta Weinstein is a Professor of Psychology at the University of Reading and holds a Research Associate position at the Oxford Internet Institute (OII) since February 2020. Her work focuses on human motivation’s role in behavior and well-being, particularly in the context of technology use. She examines self-regulation in digital contexts, caregiver regulation of youth technology use, and positive technology outcomes for vulnerable populations. Her research contributes to three key areas: online addiction, digital parenting strategies to foster cooperation and reduce aggression, and technology’s benefits for marginalized groups. Her research projects include the OII’s Programme on the Governance of Emerging Technologies, exploring legal and ethical aspects of AI, and the Trustworthiness Auditing for AI initiative, which evaluates accountability tools in healthcare and open science. Collaborations include work with Professors Ekaterina Hertog and Victoria Nash on parental control technologies’ impact on parent-teen relationships. Recent studies highlight her contributions to understanding digital detoxing’s minimal effects on well-being, advocating for cautious application of behavioral science in policy (e.g., pandemic responses), and promoting moderate screen time for children’s mental health. She emphasizes balancing child safety with autonomy through evidence-based parenting tools. Publications span interdisciplinary topics, including parental monitoring’s ethical implications and the long-term effects of digital tools on family dynamics. Her findings are disseminated through press releases, academic journals, and platforms like BBC Ideas, ensuring accessible insights for policymakers and the public.
Dr. Asieh Hosseini Tabaghdehi is a Senior Lecturer in Strategy & Business Economy at Brunel Business School, Brunel University of London. She serves as Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme. Additionally, she is Impact Lead at the Brunel Centre for AI: Social and Digital Innovation, where she leads the capability area in the Future of Work. Dr. Tabaghdehi is also an economist and social impact advisor for the independent NGO, Social Innovation Movement. Dr. Tabaghdehi earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She also holds a BA in Theoretical Economics from University of Mazandaran. She completed the Postgraduate Certificate in Academic Practice and is a Fellow of the Higher Education Academy. Dr. Tabaghdehi is internationally recognized for her research on digital transformation, with particular expertise in the ethical integration of artificial intelligence and digital technologies. Her work focuses on how emerging technologies shape industries, labor markets, and society, with emphasis on enhancing SME growth through technological innovation. She explores applications across critical sectors including social care, supply chain management, and environmental sustainability. A central theme in her research is smart data governance, ensuring ethical, transparent, and responsible use of data in decision-making processes. Her research portfolio demonstrates a consistent focus on the intersection of technology, ethics, and business strategy. She has developed frameworks like the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Her work connects academic research with practical policy applications, as evidenced by her presentations as oral and written evidence to the House of Commons Select Committee. Her publications span AI ethics, digital footprint implications, fertility economics, and healthcare cost analysis, showing interdisciplinary breadth while maintaining thematic coherence around digital transformation's societal impact. Scientific Awards and Recognition Semi-finalist: Research Impact Award at Brunel University London, 2023 Staff Award: Exceptional in Collegiality and Supportive to Colleagues at Brunel University London, 2022 Exceptional Performance at Regents University London, 2018-19 Staff Award in Teaching, Learning and Assessment at Regents University London, 2016 Best Lecturer Award at London Brunel International College, 2014 Best Lecturer Award at London Brunel International College, 2013 Dr. Tabaghdehi actively supervises PhD students researching areas including Smart Data Governance, Ethical AI Governance, Digital Innovation Impact, Responsible AI Adoption Strategies, Sustainability, and Future of Labour Market. She has secured research funding from multiple sources including the Economic & Social Research Council (ESRC), Brunel University London, and Brunel Business School. Her current projects include research on AI Adoption and Governance, Youth digital addiction, Algorithm Reliability Framework, and SMEs digital footprints. She has also co-designed the "Digital Adoption" module for the UK Government's Help to Grow Management program, demonstrating the practical application of her research. As a member of multiple professional organizations, Dr. Tabaghdehi serves as an associate practitioner at Social Value International, associate member of the Big Innovation Centre, and member of the All-Party Parliamentary Group on AI. She is also a member of the ESRC Review College, British Academy of Management Review College, and Energy Institute UK, contributing to the broader academic and policy communities through these roles.
Joshua Neves is an Associate Professor at Concordia University , affiliated with the Global Emergent Media (GEM) Lab as its Director. His research spans global and digital media, cultural and political theory, China/Asia studies, and media urbanism, focusing on themes like (over)development, digital ethnography, and informal media networks. Research Keywords: global media, digital culture, cultural theory, political theory, China, Asia, video, television, piracy, urbanism Teaching: Courses include Cinemas of Under/Overdevelopment , Technology and Intimacy , and Media Genealogies of the Digital . His scientific awards include the Canada Research Chair , highlighting his leadership in media studies. Publications such as Technopharmacology (2022) and Underglobalization (2020) reflect his interdisciplinary approach, merging media theory with political and cultural critique. Neves’ recent article trends explore optimization ideologies, pandemic platforms, and the intersection of convenience with inequality. His work bridges media studies with postcolonial theory, emphasizing the geopolitical implications of digital cultures.
Marcus Rogers is Professor and Associate Dean for Faculty at Purdue Polytechnic Institute, Purdue University, where he directs the Cyber Forensics Lab. He holds dual fellowships with the American Academy of Forensic Sciences (AAFS) and the Center for Education and Research in Information Assurance and Security (CERIAS). Previously, he served as Editor-in-Chief of the Journal of Digital Forensics Security & Law and Secretary of AAFS. Education includes: PhD in Forensic Psychology, University of Manitoba (2001) MA in Personality Psychology, University of Manitoba (1995) BA in Psychology/Criminology, University of Manitoba (1986) His research integrates behavioral science with digital forensics, focusing on: Psychological profiling of cybercriminals and online offenders Advanced cyber forensic methodologies including mobile/GPU forensics Predictive modeling of cyber threats and adversarial behavior IT insider threats and cyber terrorism dynamics This interdisciplinary approach advances evidence analytics and digital crime scene interpretation. His publications demonstrate consistent focus on cybercrime psychology, forensic methodologies, and digital evidence innovation, with recent work emphasizing behavioral analytics, adversarial modeling, and advanced data recovery techniques. Major scientific honors include: Paul H. Chapman Medal for justice innovation (2009) AAFS Digital Sciences Research/Case Study Awards (2012, 2013) Fellow distinctions from AAFS and CERIAS University Faculty Scholar (2008) He leads the Cyber Forensics Lab, developing novel investigative tools like SMIRK (SMS forensics) and TracHac (cell phone analysis). Secured multiple grants for digital evidence research from federal and industry partners. Extensive professional engagements include chairing NIST OSAC committees and FBI InfraGard membership.
Antonio Verdejo-Garcia is a Professor (Research) in the School of Psychological Sciences and the Turner Institute for Brain and Mental Health at Monash University. He holds an NHMRC Leadership Fellowship and serves as Co-Chair of the Neuroscience Interest Group at the International Society of Addiction Medicine. He has an Adjunct Honorary Appointment at Turning Point (Eastern Health). His academic journey includes a PhD from the University of Granada (2006) and postdoctoral training at Johns Hopkins University, University of Cambridge, and Institut Hospital del Mar d'Investigacions Mediques. Before joining Monash in 2012, he held roles as Lecturer, Senior Lecturer, and Associate Professor at the University of Granada. Research interests center on cognitive and neural mechanisms of executive control, decision-making, and their implications for addiction, compulsive eating, and obesity. He has authored over 290 peer-reviewed articles, edited a book on Cognition & Addiction, and secured continuous national/international research funding. His work has garnered over 17,000 citations. He serves on editorial boards for journals like Addiction , PLoS One , and Current Addiction Reports . Key projects include the AAT-APP Trial for alcohol use disorder, decoding drivers of food choices for obesity management, and neurocircuitry studies in addiction. Recent articles (2023–2025) focus on impulsivity, telehealth interventions for eating disorders, and neuropharmacological comparisons between MDMA and methamphetamine users. Scientific achievements include NHMRC Leadership Fellowship and contributions to clinical translation of cognitive rehabilitation. He advises on grants and mentors students in addiction neuroscience. Current projects involve psilocybin treatment for anorexia nervosa and cortical control of feeding circuits.
Dr. Helen Vossen is an Associate Professor at the Faculty of Social and Behavioural Sciences at Utrecht University , specializing in Clinical Child and Family Studies . Her research examines how digital media use affects psychosocial development in children and adolescents, including projects like the Digital Family project and the multidisciplinary Youth and Digitization (JEDi) study . Her work focuses on family dynamics, empathy, and strategies to mitigate problematic social media use while supporting youth development. Areas of expertise: Adolescence , Social Media , Empathy Research themes: Dynamics of Youth , Youth Education & Life Skills Her recent publications emphasize problematic social media use , parental mediation , and longitudinal analyses of digital behavior. She has secured competitive grants such as the DigAble fellowship (2023) , NWA-NVO grant (2022) , and Reliable Measurement fellowships (2020) . Her work intersects with the UN Sustainable Development Goals , particularly those related to mental health and digital equity. Scientific awards: DigAble (2023), NWA-NVO (2022), Reliable Measurement (2020), Reliable Measurement (2020)
