Florian Jacques is a Researcher at the University of Namur, affiliated with the Faculty of Law and the Namur Digital Institute. He holds a Doctorate from the University of Namur (2019). His research focuses on digital law, data protection, AI ethics, and EU regulatory frameworks. Jacques has led and collaborated on projects like the eIDAS legal study and a training initiative on government-to-government information exchange. His work bridges legal challenges posed by emerging technologies, with notable contributions to AI policy, pandemic governance, and digital identity regulations. He has published extensively across journals and edited volumes, including analyses of the DSA/DMA frameworks and APD jurisprudence. Education: Doctorate in Law, University of Namur (2019) His research interests center on digital transformation’s legal implications, particularly in data governance, e-commerce, and public policy. Jacques has analyzed how pandemic responses exposed gaps in legislative frameworks and explored ethical dimensions of AI applications like ChatGPT. His publications reflect a cross-disciplinary approach to modern legal challenges in digital spaces. Notable projects include a 2025 study on eIDAS modernization and a training program on international data exchange protocols. While no formal awards are listed, his active research output (24+ publications since 2019) underscores his academic engagement. He collaborates with institutions like the Centre de Recherche Information, Droit et Société (CRIDS) and contributes to policy-oriented research teams.
Andrew Guess is an Associate Professor of Politics and Public Affairs at Princeton University's Woodrow Wilson School of Public and International Affairs. He employs quantitative and computational methods to study digital media's impact on political dynamics, including polarization, misinformation, and algorithmic effects. Research Interests: Digital media and politics, computational social science, misinformation, political polarization, survey methodology Key Collaborations: Co-editor of the Journal of Quantitative Description: Digital Media , with Kevin Munger and Eszter Hargittai Publication Trends: His work analyzes social media algorithms (e.g., Facebook/Instagram feed effects), misinformation prevalence and correction (including election-related content), and methodological innovations using digital trace data. Articles demonstrate cross-platform analysis, behavioral tracking, and experimental approaches to media literacy interventions. Academic Contributions: Guess has developed frameworks for measuring online media diets, tested algorithmic impacts on political exposure, and investigated structural factors in digital misinformation spread. His research frequently involves large-scale behavioral experiments and partnerships with institutions like the Harvard Kennedy School and NYU Center for Data Science.
Ethiraj Gabriel Dattatreyan is an Assistant Professor in the Department of Anthropology at New York University. He holds a joint PhD in Anthropology and Education from the University of Pennsylvania (2015) and a B.A. in Economics and Finance from George Mason University (1997). His research focuses on media consumption, production, and circulation in relation to migration, gender, race, and urban space. He co-edits the Multimodal Section of the American Anthropological Association's flagship journal, American Anthropologist. His first book, *The Globally Familiar: Digital hip hop, masculinity and urban space in Delhi* (Duke UP, 2020), examines how Delhi’s youth utilize hip hop aesthetics through digital platforms. His forthcoming co-authored book *Digital Unsettling: Decoloniality and Dispossession in the Age of Social Media* (NYU Press) critiques corporate social media’s colonial legacies. Current projects include ethnographic work on African communities in India and a study of Angolan anthropologist Augusto Zita N’Gonguenho’s anticolonial methodologies. He previously served as Senior Lecturer and co-director of the Centre for Visual Anthropology at Goldsmiths, University of London. His research employs collaborative, multimodal approaches to explore decoloniality, digital media’s socio-political impacts, and urban cultural dynamics.
Gary King is the Albert J. Weatherhead III University Professor at Harvard University and Director of the Institute for Quantitative Social Science. He is based in the Department of Government within Harvard's Faculty of Arts and Sciences. One of only 22 University Professors at Harvard, this represents the institution's most distinguished faculty position. King received his B.A. from SUNY New Paltz in 1980 and his Ph.D. from the University of Wisconsin-Madison in 1984. His academic journey has led him to become one of the most influential scholars in political methodology and quantitative social science. Professor King's research spans numerous areas of methodological innovation in the social sciences. His work focuses on developing and applying empirical methods across various domains. Key research interests include: Ecological Inference - developing methods to infer individual behavior from group-level data Automated Text Analysis - creating techniques for extracting knowledge from massive text collections Causal Inference - methods for detecting and reducing model dependence in causal effect estimation Missing Data and Measurement Error - statistical approaches to handle incomplete or imperfect data Survey Research - developing methods for more accurate cross-cultural survey comparisons Unifying Statistical Analysis - integrating diverse methodological approaches into coherent frameworks King's recent publications demonstrate a continued focus on methodological innovation with practical applications. His work spans political science, public health, and data science, with particular emphasis on privacy-preserving data analysis, maternal health metrics, survey methodology, and media effects. A notable trend is the increasing interdisciplinary nature of his research, bridging political methodology with public health, computer science, and demography. His work on census data privacy, maternal mortality disparities, and media influence represents cutting-edge applications of social science methodology to critical societal issues. His scientific achievements have been recognized with numerous prestigious awards: Fellow of the National Academy of Sciences (2010) Fellow of the American Statistical Association (2009) Fellow of the American Academy of Arts and Sciences (1998) Guggenheim Foundation Fellow (1994-1995) Career Achievement Award (2010) Warren Miller Prize (2008) Multiple awards for research software and methodology King has mentored numerous students and postdocs, many of whom now hold faculty positions at leading universities. His research has been supported by major funding agencies including the National Science Foundation, Centers for Disease Control and Prevention, World Health Organization, and National Institute of Aging. He has collaborated with over seventy scholars on research publications and served on numerous editorial boards and professional organization councils. His work on the Mexican universal health insurance program represents one of the largest randomized health policy experiments to date, demonstrating his commitment to rigorous evaluation of real-world policy interventions. As Director of the Institute for Quantitative Social Science, King leads a vibrant research community focused on methodological innovation. His work has practical applications in diverse areas including legislative redistricting (used by the U.S. Supreme Court), health policy evaluation (including the largest randomized health policy experiment to date in Mexico), Chinese censorship analysis (revealing government fabrication of 450 million social media comments annually), and automated text analysis (through Crimson Hexagon, a company he co-founded).
Catherine Tucker is the Sloan Distinguished Professor of Management and Professor of Marketing at the MIT Sloan School of Management. She serves as the faculty director of the EMBA program and has chaired the MIT Sloan PhD Program. Her research focuses on the intersection of technology, marketing, and public policy, with expertise in digital privacy, online advertising, and blockchain applications. She co-founded the MIT Cryptoeconomics Lab and has testified before Congress on digital privacy issues. Tucker holds a PhD in Economics from Stanford University and a BA from the University of Oxford. Education: PhD in Economics, Stanford University Bachelor of Arts, University of Oxford Research Interests: Algorithmic bias and fairness Privacy regulation and consumer data Blockchain technology applications Healthcare technology and digital health Marketing strategy in digital ecosystems Awards: NSF CAREER Award (2010s) William F. O’Dell Award (Long-term Impact in Marketing) Garfield Economic Impact Award (2020) Editorial Roles: Senior editor at Marketing Science , former co-editor at Quantitative Marketing and Economics , and associate editor roles at Management Science and Journal of Marketing Research . Labs & Initiatives: Co-director of the NBER Digital Economics and AI program, and co-founder of the MIT Cryptoeconomics Lab studying blockchain applications.
Mauro Conti is a Full Professor at the University of Padua, Italy, where he serves as Editor-in-chief of IEEE TIFS, UniPD Academic Advisor for Entrepreneurship Development, Study Program Coordinator of the MSc degree in Cybersecurity, Head of the SPRITZ Security and Privacy Research Group, and Director of the UniPD node of CINI Cybersecurity National Lab. He also maintains affiliations with TU Delft (NL) and the University of Washington (USA). Additionally, he is the CEO and co-founder of CHISITO and co-founder of DYALOGHI. His research focuses on security and privacy for wireless resource-constrained mobile devices (WSNs, RFIDs, and smartphones), computer system security, computer forensics, access control, and distributed and networked systems. Professor Conti has published extensively in top security venues including ACM CCS, IEEE S&P, NDSS, and USENIX Security, with recent work covering topics such as battery authentication, federated learning privacy, private set intersections, USB peripheral fingerprinting, and ATM PIN inference. He has received numerous prestigious awards including IEEE Fellow, Young Academy of Europe Fellow, EU Marie Curie Fellow, and DAAD Fellow. Professor Conti has advised over 100 students at various levels including PhD, MSc, and BSc, many of whom have gone on to successful careers in academia and industry. His research has been supported by multiple European Commission projects, university grants, and industry collaborations with companies like Cisco and Intel.
Hamsa Bastani is an Associate Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania, with a secondary appointment in Statistics and Data Science. She co-directs the Wharton Healthcare Analytics Lab and serves as an Associate Editor for Operations Research, M&SOM and OR Letters. Her academic journey began with summa cum laude graduation from Harvard in 2012 with an A.M. in physics and A.B. in physics and mathematics. She completed her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, followed by a Herman Goldstine postdoctoral fellowship at IBM Research. Professor Bastani's research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications spanning healthcare operations, social good, and revenue management. Her work demonstrates particular expertise in sequential decision-making (bandits, reinforcement learning), learning from auxiliary data sources (transfer learning, meta-learning), and designing effective human-AI interfaces (interpretability, fairness). She has made significant contributions to understanding how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. Her publications reveal a strong trend toward high-impact applications of machine learning in critical societal domains. A significant portion of her recent work focuses on healthcare applications, including optimizing health supply chains in low- and middle-income countries, designing clinical trial protocols, and creating targeted public health interventions. Another major theme examines the complex relationship between humans and AI systems, particularly how AI affects learning outcomes and decision-making processes. Her work frequently bridges theoretical advances with practical implementation, as evidenced by country-scale deployments in Greece and Sierra Leone. Wagner Prize for Excellence in Operations Research Practice (2021) Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Behavioral OM Best Paper Award (2021) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Award (2019, 2020, 2021) Professor Bastani has advised numerous PhD students who have gone on to prominent positions, including Pia Ramchandani (Director of Responsible AI at PwC), Arielle Anderer (Assistant Professor at Cornell Johnson), and Kan Xu (Assistant Professor at ASU Carey). Her research has been supported by collaborations with national governments, including the Greek government where she co-designed Eva, the national-scale reinforcement learning system for targeted COVID-19 testing, and the Government of Sierra Leone where she improved patient access to essential medicines by nearly 20% via decision-aware learning. She has also conducted the first large field study deploying generative AI tutors in high school math classes. She leads the Wharton Healthcare Analytics Lab and serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, demonstrating her commitment to translating academic research into practical applications.
Séverine Dusollier is a Professor of Intellectual Property at the Law School of Sciences Po Paris and holds a Senior Chair at the Institut Universitaire de France. She serves as Director of the Law School's Research Centre and Head of the Master in Innovation Law, actively contributing to doctoral committee activities. Her expertise spans copyright law , digital rights , and intellectual property frameworks. Key roles : Research Centre Director, Master in Innovation Law Head International engagement : Founding Member of the European Copyright Society, ATRIP member Her research focuses on digital copyright issues , authorship concepts , contractual protections for creators , and the evolution of exceptions and limitations . Recent work explores generative AI implications, public domain dynamics , and inclusive property models . She has held visiting positions at Berkeley, Columbia, NYU, and Cambridge. Notable scientific awards include: ERC research grant (2014–2019) Senior Chair, Institut Universitaire de France CSPLA (French Copyright Council) membership Her publications emphasize digital transitions , IP openness , and fair remuneration in streaming , reflecting her dedication to reconciling traditional IP structures with modern technological realities.
Sarah Ita Levitan is an Assistant Professor in the Department of Computer Science at Hunter College, CUNY, and a member of the doctoral faculty in both Computer Science and Linguistics PhD programs at the CUNY Graduate Center. She previously served as a Postdoctoral Research Scientist at Columbia University, where she completed her PhD in Computer Science in 2019 under Dr. Julia Hirschberg. Research Focus: Spoken Language Processing Natural Language Processing Paralinguistic Analysis Trustworthiness and Deception Detection Acoustic-Procedic and Lexical Feature Extraction Online Radicalization and Misinformation Recent Publications demonstrate expertise in analyzing speech and text for trust cues, deception detection, and mental health prediction. Her awards include grants from NSF, Google, and Columbia University fellowships. She leads the Hunter Speech Lab , mentoring PhD, MS, and undergraduate students in computational linguistics research. Scientific Awards and Grants: NSF EAGER Grant (2023) Google Cyber NYC Grant (2023) NSF AI Institute Grant (2023) Air Force Office of Scientific Research Grant (2020) Brown Institute Seed Grant (2020) Knight News Innovation Fellowship (2018) Teaching: Courses include Natural Language Processing (undergraduate/graduate), Computational Linguistics, Computer Theory, and advanced topics in spoken language processing at both Hunter College and Columbia University.
Raymond Ku is the John Homer Kapp Professor of Law at Case Western Reserve University School of Law. He has served as Associate Dean for Academic Affairs and Co-Director of the Center for Law, Technology and the Art. His work focuses on Constitutional Law, Cyberlaw, Privacy, and Copyright, with an emphasis on how technology and evolving societal norms intersect with individual liberties. Education Juris Doctor (J.D.), New York University (1995) Bachelor of Arts (A.B.), Brown University (1992) Professor Ku’s research explores the tensions between free speech and copyright, the implications of digital technology on privacy, and the constitutional boundaries of surveillance. His publications span topics like peer-to-peer file sharing, reproductive rights, and data privacy, reflecting a commitment to addressing contemporary legal challenges through interdisciplinary lenses. His scholarship appears in prestigious law reviews, including Berkeley, Chicago, and Vanderbilt. He authored the first casebook on cyberspace law. Awards include the 2009 Distinguished Teacher Award and being voted Professor of the Year by the 2009 graduating class. Raymond Ku clerked for Judge Timothy K. Lewis and practiced constitutional, intellectual property, and antitrust law before transitioning to academia. He has taught at multiple institutions, contributing to legal education and research related to technology and civil liberties.
Alexandra Papoutsaki is an Associate Professor of Computer Science at Pomona College since 2017. Her research focuses on Human-Computer Interaction , particularly in webcam-based eye tracking and shared gaze for remote collaboration . Ph.D. in Computer Science from Brown University M.Sc. in Computer Science from Brown University B.Sc. in Computer Science from Athens University of Economics and Business Her work spans personal informatics , crowdsourcing methodologies , and remote usability testing , with recent projects examining collaborative drawing interfaces, baby tracking reflection, and digital health communities. Earlier contributions include computational biology research in genome-wide survival analysis and pan-cancer mutation networks. Key trends in her publications include: Remote collaboration tools enhanced by eye tracking Personal data systems for health and creative domains Foundational work in crowdsourcing quality control Interdisciplinary approaches combining computer science with psychology and medicine Scientific recognition includes: NSF CRII Grant (2020-2022) Wig Distinguished Professor Award (2020) Best Paper at RECOMB (2013) She has developed multiple open-source platforms including WebGazer for scalable eye tracking and Remotion for mobile usability testing. Her research team has published extensively in top venues like CHI, IMWUT, and IJCAI.
Dr Ysabel Gerrard is a Senior Lecturer in Digital Media and Society at the School of Sociological Studies, Politics and International Relations, University of Sheffield. Her work bridges digital sociology, gender studies, and platform governance, with a focus on youth experiences, content moderation, and ethical research practices. Education: BA (Hons), MA, PhD (University of Leeds) Research interests include: Young people’s social media experiences and content policies Digital identities, particularly gendered representations Feminist interventions in content moderation and algorithmic governance Ethical challenges in social media research Recent research examines the societal impact of social media design, reflected in her forthcoming book The Platform Generation and collaborations on Instagram’s mental health moderation, anonymous apps, and feminist critiques of platform labor. She contributes to policy debates via roles like Facebook’s Suicide and Self-Injury Advisory Board and ECREA leadership. Grants include: £39,985.50 for 'Creator labour: screen production cultures and transmedia intersectionality in Yorkshire' (2021-2022) £2,627 for 'Risky-by-design: making the digital world safer for children' (2021) £6,998 for 'Secrets on social media: anonymous apps and youth perspectives' (2019-2022) Teaching modules: Digital Identities, Introduction to Digital Methods. She supervises BA, MA, and PhD students working on topics like online dating, gaming toxicity, and influencer culture. Contact: Email: y.gerrard@sheffield.ac.uk Office: The Wave, 2 Whitham Road, Sheffield S10 2AH
Dr. Matloob Khushi serves as a Senior Lecturer in Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 25 years of combined academic and industry experience, his work bridges theoretical AI advancements with practical applications in finance, healthcare, and public health domains. His research has established significant collaborations with international banks, healthcare institutions, and technology startups. Dr. Khushi earned his PhD in AI and Data Science from the University of Sydney, developing novel algorithms for genomic data analysis. His postdoctoral research at the Children's Medical Research Institute (2014-2017) pioneered AI-based diagnostic tools for medical condition detection. More recently, he developed bioinformatics tools for environmental assessment under a UKRI NEC grant. Research Focus FinTech Innovation : Creator of the SS Ratio (incorporating volatility and drawdown sensitivities), advanced portfolio optimization models, and synthetic data generation techniques for fraud detection and credit risk assessment Bioinformatics Leadership : Developer of AI tools for genomic analysis and early cancer detection, featured in SBS News and The Daily Telegraph Public Health NLP : Architect of systems for vaccine misinformation detection, mental health monitoring, and health surveillance on social media His publication portfolio shows consistent growth from foundational bioinformatics work to current multimodal AI applications, with increasing interdisciplinary collaboration across finance and healthcare sectors. Awards and Recognition Ranked among Stanford/Elsevier's top 2% of global AI scientists Recipient of Best Paper Awards from IEEE Transactions on Computational Social Systems and PeerJ Media recognition for cancer detection research by major news outlets Mentorship and Teaching Dr. Khushi has supervised six PhD candidates to completion and over 100 postgraduate dissertations. He teaches CS3002 Artificial Intelligence and mentors students in Final Year Projects. His supervision focuses on Deep Learning/NLP for FinTech prediction and Public Health Surveillance applications, emphasizing practical implementation of theoretical concepts.
Sarah Shirazyan is a Lecturer in Law at Stanford Law School , where she designed the Interpol-Stanford Policy Lab. She also serves as Director and Head of Meta's GenAI Product Policy work, overseeing responsible AI development across Meta's platforms. Doctor of Juridical Sciences (J.S.D.) from Stanford Law School LL.M. from SOAS/UCL, University of London Her research focuses on the intersection of national security , public policy , and international law , particularly examining: Effectiveness of UN Security Council responses to WMD terrorism Framework for regional organization collaboration in WMD prevention Platform content policy development and misinformation governance Responsible AI implementation under legal frameworks Key publication themes include: Platform algorithmic accountability Media capture in digital domains Content policy development during crises UN Security Council institutional limitations Regional organization synergies in security Recipient of Gerald J. Lieberman Award for research, teaching, and community service Professional affiliations: Stanford Law School Stanford Center for International Security and Cooperation (CISAC) INTERPOL European Court of Human Rights Council of Europe United Nations
Chenhao Tan serves as an Associate Professor in the Department of Computer Science and the UChicago Data Science Institute at the University of Chicago. His academic journey includes a PhD from Cornell University, followed by a postdoctoral position at the University of Washington, and previous affiliation with the University of Colorado Boulder. Dr. Tan's research focuses on language and social dynamics , human-centered machine learning , and multi-community engagement . He is broadly interested in computational social science, natural language processing, and artificial intelligence. His work explores the paradigm of 'machine-in-the-loop' systems where AI serves as an assistant rather than a replacement for human capabilities, particularly in complex tasks requiring human judgment. His publications demonstrate significant contributions across multiple domains including AI ethics, creative writing assistance, political language analysis, and healthcare applications. His research shows a clear trajectory toward developing AI systems that enhance human capabilities while addressing important ethical considerations in AI deployment. Sloan Research Fellowship Dr. Tan's research program examines how machine learning can be integrated into human workflows to augment human capabilities rather than replace them. His laboratory investigates applications across social media, healthcare, creative writing, and political discourse analysis, with current projects focusing on AI platform moderation, detection of subtle signals in professional communication, and computational analysis of social dynamics.
