Andrea Vedaldi is a Professor of Computer Vision and Machine Learning at the University of Oxford's Department of Engineering Science, affiliated with the Visual Geometry Group (VGG). He specializes in unsupervised methods for understanding images and videos, focusing on 3D geometry and semantics. His research bridges foundational AI and practical applications, with contributions to generative models, neural fields, and self-supervised learning. Education: PhD in Computer Science (2008), University of California, Los Angeles MSc in Computer Science (2005), UCLA BSc in Information Engineering (2003), University of Padua Research Interests: Unsupervised learning, 3D perception, generative AI, neural rendering, and scalable vision systems. His work emphasizes ethical, responsible AI aligned with ERC-funded projects like UNION (ERC Consolidator Grant). Key Contributions: Co-developer of VLFeat and MatConvNet libraries Leader in 3D reconstruction and diffusion models (e.g., CatFree3D) Recipient of the PAMI Thomas S. Huang Prize and multiple best paper awards Grants & Service: Principal Investigator on £2.3M ERC Consolidator Grant (UNION) Co-organizer of major conferences (ECCV 2020 Program Chair, CVPR 2023 Area Chair) Reviewer for top journals/conferences (PAMI, CVPR, NeurIPS) Labs & Teams: VGG Group at Oxford, collaborating on projects like Meta 3D Gen and Common Objects in 3D (CO3D).
Katerina Fragkiadaki is the JPMorgan Chase Associate Professor of Computer Science in the Machine Learning Department at Carnegie Mellon University. She works at the intersection of Artificial Intelligence, Computer Vision, Machine Learning, Language Understanding, and Robotics. PhD from GRASP Lab, University of Pennsylvania Postdoctoral researcher at UC Berkeley (with Jitendra Malik) and Google Research Recipient of NSF CAREER, DARPA Young Investigator, Amazon, Google, Sony, UPMC, and AFOSR awards Organizer of CoRL 2023 Workshop on Generalist Robots ICLR 2024 Program Chair, multiple area chair roles Her research group focuses on developing machines that autonomously improve world models through human-environment interactions, with specific emphasis on: Representation learning and video understanding 2D/3D unified vision-language models Generative simulation and reinforcement learning Real2Sim/Sim2Real robot learning Continual learning and spatial common sense 3D scene reconstruction and dynamics Recent publications highlight advancements in: 3D mesh generation with compositional transformers Unified 2D/3D perception frameworks Physics-aware generative models Diffusion-based robotic manipulation policies Embodied agents with memory prompting Awards include: 2024: DARPA Young Investigator Award 2023: Amazon Faculty Award 2022: Sony Faculty Research Award 2021: UPMC Faculty Research Award 2020: NSF CAREER Award 2019: Google Faculty Award Key collaborations span institutions including UC Berkeley, Google Research, Stanford, MIT, and University of Tsukuba. Her work bridges theoretical innovation with practical applications in: Autonomous robot manipulation 4D world modeling Language-grounded perception Visual dynamics prediction Embodied program synthesis Physics-based simulation engines
Max Planck Institute for Intelligent SystemsGermany
Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. She leads the Algorithms and Society research group, focusing on machine learning in social contexts and the role of prediction in digital economies. Her work bridges theoretical machine learning with practical societal impact, developing tools for safe, reliable, and equitable AI ecosystems. Her educational background includes a PhD from ETH Zurich in collaboration with IBM Research, followed by an SNSF postdoctoral fellowship at UC Berkeley hosted by Moritz Hardt. She was previously a group leader at the Max Planck Institute for Intelligent Systems before joining the ELLIS Institute. Mendler-Dünner's research spans several interconnected themes including performative prediction (where predictions change the behavior they aim to predict), algorithmic collective action (how participants can steer AI systems toward common goals), and the role of LLMs in social science research. Her work combines theoretical foundations with practical implementations, addressing challenges in interactive machine learning, optimization in dynamic environments, and context-specific evaluation of AI systems. She particularly examines how algorithmic predictions mediate services and platforms at societal scale, exploring concepts of economic power in digital markets. Her publication record shows a clear evolution from system-aware machine learning algorithms (including foundational work on IBM Snap ML) toward increasingly sociotechnical questions at the intersection of machine learning, economics, and policy. Recent work focuses on measuring performative power in digital economies, evaluating LLMs as risk scores, and developing frameworks for algorithmic collective action in recommender systems and labor markets. Among her notable recognitions are the ETH Medal for her dissertation, the IBM Research Division Award, the Fritz Kutter Award, and the IBM Eminence and Excellence Award. She is an ELLIS Scholar, a fellow of the Elisabeth-Schiemann-Kolleg, and affiliated with several prestigious research programs including the International Max Planck Research School for Intelligent Systems and the Max Planck ETH Center for Learning Systems. ETH Medal (dissertation award) IBM Research Division Award Fritz Kutter Award IBM Eminence and Excellence Award SNSF Early Postdoc Mobility Fellowship Mendler-Dünner actively mentors the next generation of researchers, advising PhD student Patrik Wolf and supervising research interns including Joachim Baumann, Haiqing Zhu, and Anna Badalyan, as well as Master's student Dorothee Sigg. She serves as core faculty for the International Max Planck Research School and associated faculty for the Max Planck ETH Center for Learning Systems. Her group has secured significant research funding through fellowships and institutional support, enabling work on projects like Powermeter (measuring search engine influence) and Snap ML (resource-efficient machine learning library with over 1 million PyPI downloads). She leads the Algorithms and Society research group, which examines machine learning as part of broader sociotechnical ecosystems. The group explores human-population interactions with algorithmic systems and incorporates these insights into learning system fundamentals. Current projects include investigating economic incentives in digital platforms, developing tools for systematic LLM evaluation in social science contexts, and creating frameworks for collective action in algorithmic systems. Mendler-Dünner also co-organizes the Algorithmic Collective Action workshop at NeurIPS 2025, demonstrating her leadership in emerging research directions at the AI-society interface.
Yochai Benkler is the Berkman Professor of Entrepreneurial Legal Studies at Harvard Law School and faculty co-director of the Berkman Klein Center for Internet and Society at Harvard University. He specializes in Law and Political Economy, Technology Law and Policy, Communications Law, and Access to Knowledge. His work bridges academia and activism, focusing on the intersection of technology, collaboration, and societal structures. Benkler's research emphasizes decentralized collaboration, information commons, and the impact of technology on democracy. He has advised governments and international organizations on innovation policy and telecommunications. His notable works include The Wealth of Networks (2006), which explores social production in the digital age, and Reconstructing Class Analysis (2024), co-authored with Talha Syed, which rethinks class dynamics within capitalism. He has received numerous awards, including the Oxford Internet Institute Lifetime Achievement Award (2012), Ford Foundation Visionaries Award (2011), and Electronic Frontier Foundation Pioneer Award (2007). His work is publicly accessible at benkler.org . Benkler serves on the boards of the Open Society Foundations and the Freedombox Foundation. His research spans law, political economy, and technology, addressing issues like fake news, network propaganda, and the role of the internet in governance.
Lisbeth Aggestam is an associate professor at the Department of Political Science and an associate researcher at the Center for European Research (CERGU) at the University of Gothenburg. She serves as the editor-in-chief of the international journal Foreign Policy Analysis , published by the International Studies Association (ISA) and Oxford University Press. Aggestam's research focuses on several interconnected areas: Political leadership and foreign policy Diaspora and foreign policy Foreign policy role theory The European Union as a global actor Her scholarly work demonstrates a consistent focus on leadership dynamics within European foreign policy, particularly examining how the EU navigates its role as a global actor amid shifting geopolitical landscapes. She has developed significant theoretical contributions to role theory in foreign policy analysis, creating frameworks for understanding how states and international organizations perform specific roles on the global stage. Aggestam's publication record reveals several important trends in contemporary foreign policy studies. Her work increasingly examines the intersection of domestic politics and international relations, particularly how diaspora communities influence state foreign policies. Her recent research addresses European strategic autonomy in the context of US foreign policy shifts and the implications of Sweden's NATO membership decision, reflecting her ability to connect theoretical frameworks with pressing real-world issues. As an educator, Aggestam serves as course manager and instructor for several key programs: EU2215: Europe in the World (MA, 15 hec) SK1136: Foreign Policy Analysis (BA, 7.5 hec) EU1145: The European Union in International Affairs (BA, 7.5 hec) Through her leadership of the Swedish Research Council project 'Transnational civil society and foreign policy' (2022-2025) and her editorial role at Foreign Policy Analysis , Aggestam plays a significant role in shaping contemporary discourse on international relations and European foreign policy.
Eduardo Araral is an Associate Professor at the Lee Kuan Yew School of Public Policy, National University of Singapore. With over 30 years of experience in academia and government, he holds a PhD in Public Policy from Indiana University-Bloomington under Nobel Laureate Elinor Ostrom. His research focuses on collective action, institutions, and water governance, with publications in Nature Human Behaviour , Public Administration Review , and World Development . He has held fellowships at Stanford University and centers associated with Coase, Ostrom, and Stigler. Research Interests : Collective action, institutional analysis, water governance, digital technologies in public policy, political economy, and socio-ecological systems. Scientific Awards : Ostrom Prize for the Governance of the Commons, Fulbright PhD Scholarship, and Presidential Award for Outstanding Overseas Filipinos. Leadership Roles : Vice Dean for Research, Assistant Dean for Academic Affairs, and Co-Director of the Institute of Water Policy (2016-2022) at LKYSPP. Global Engagement : Advised 20+ international organizations including ADB, World Bank, UNDP, and Fortune 500 companies, while lecturing to 7,000+ government officials across 50+ countries.
Dr. Sungjin Kim is an Assistant Professor in the Department of Chemical and Biological Engineering at The University of New Mexico (UNM). He earned his Ph.D. in Materials Science and Engineering from MIT (2020) as a Samsung Scholarship Fellow, with prior degrees from KAIST (M.S. 2011, B.S. 2009) and exchange experience at Georgia Tech (2008). His research focuses on bioinspired, energy-efficient materials design for sustainability and healthcare. Education: Ph.D., MIT (2020) M.S. and B.S., KAIST (2011, 2009) Exchange Student, Georgia Tech (2008) Research Interests: Dynamic crosslinking in polymers, bioinspired mineralization for CO2 utilization and hard-tissue engineering, vitrimers for recyclable composites, and sustainable additive manufacturing. His work bridges fundamental chemistry (e.g., metal-coordinate bonds) and applied engineering (e.g., 3D printing). Notable Publications (2025-2022): Explore polyisocyanurate foams, dynamic vitrimer composites, and bioinspired mineralization strategies. Common themes include sustainable materials, dynamic bonding, and hybrid organic-inorganic systems. Awards: Samsung Scholarship Fellow (2014-2019) Government Scholarship (Korea, 2009-2011) Research Report of the Year Award (2012, SKC Co., Ltd.) Outstanding New Researcher Award (2011, SKC Co., Ltd.) Students: Advisees include graduate students Leila Shahriari and Michael Nelwood, and undergraduates Tyrus Antonson and Jacqueline Buenviaje. Former members include Catherine Biju (M.S. candidate) and Lillian Elam (undergraduate).
Professor Mette Eilstrup-Sangiovanni serves as Senior Lecturer in International Studies within the Department of Politics and International Studies (POLIS) at the University of Cambridge and holds a Fellowship in International Relations at Sidney Sussex College. Her teaching portfolio encompasses International Organization, International Relations Theory, International Security, History and Theory of European Integration, and Research Design and Methodology, reflecting her dual institutional commitments. Her research program centers on International Security, International Organizations, and European Integration with specialized expertise in Global Governance and Transnational Networks. She investigates how formal and informal institutions shape security governance frameworks, weapons proliferation regimes, and European defense architectures through rigorous application of network theory. This analytical lens reveals critical insights into cooperation dynamics and institutional evolution within international security contexts. Publication analysis shows consistent thematic development from foundational work on balance-of-power theory (2008-2009) toward contemporary examinations of multipolarity's institutional impacts (2013-2014). Her scholarship demonstrates methodological continuity in applying network analysis to diverse security challenges, from terrorist organizations to EU defense policy, while maintaining focus on institutional interplay in global governance structures.
Dr. Shahrzad Fouladvand is an Associate Professor in International Criminal Law at the University of Sussex's School of Law, Politics and Sociology. Her research focuses on transnational criminal law, human trafficking, and corruption, particularly their interplay in contexts like Albania. She previously worked at the International Criminal Court (ICC) and the International Labour Organisation (ILO), contributing to human rights conventions. A member of RUSI's Strategic Hub for Organised Crime (SHOC), she advocates holistic approaches to combating human trafficking beyond prosecution-centric methods. Dr. Fouladvand holds a PhD from the University of Sussex and is a Fellow of the UK Higher Education Academy. Education: PhD in Law, University of Sussex (2008–2012) Common Professional Examination (CPE)/Graduate Diploma in Law (GDL), University of Huddersfield (2012–2014) Certifications in Machine Learning for Social Scientists (2023) and Social Network Analysis (2020) Research Interests: Dr. Fouladvand explores the nexus between human trafficking and corruption, emphasizing evidentiary challenges and institutional complicity. Her work integrates network analysis and responsibilisation frameworks, critiquing prosecution-centric approaches. Recent projects include a monograph on 'Human Trafficking, Corruption and Corporate Complicity' for Routledge, examining public-sector complicity in trafficking. Key Contributions: Authored over 30 publications, including journal articles and book chapters on ICC jurisprudence, anti-corruption law, and trafficking dynamics. Advised UK parliamentary committees on human trafficking and migration policies. Edited volumes on transnational organized crime and economic criminology. Awards and Fellowships: Fellow of the UK Higher Education Academy (2016) Visiting Scholarship at Max-Planck Institute (2021–2022) Elected Special Rapporteur on Contemporary Slavery for BACL Labs/Teams: Active member of RUSI's SHOC, focusing on policy-relevant research to combat organized crime.
Stacey Lantagne is a Professor of Law at Western New England University School of Law , joining in 2022. Her research explores the intersection of digital creativity and intellectual property law, focusing on fanfiction and internet memes. She actively engages with pop culture and fan studies communities as a presenter and guest speaker. Education : B.A. summa cum laude, Boston College (English major, Computer Science minor) J.D. cum laude, Harvard Law School Her work addresses evolving legal challenges in digital communication, trademark expansion, and fair use doctrine. Articles like “Building a Better Mousetrap” and “Mutating Internet Memes” highlight her expertise in copyright law’s adaptation to internet culture. She serves on the Legal Committee of the Organization for Transformative Works , advocating for fan creators. Prior roles include teaching at the University of Mississippi and Loyola University New Orleans, along with intellectual property litigation experience at Goodwin Procter and Drinker Biddle & Reath.
Elliott Ash is an Associate Professor of Law, Economics, and Data Science at ETH Zurich's Center for Law & Economics. He holds a Ph.D. in Economics and J.D. from Columbia University, a B.A. in Economics, Government, and Philosophy from the University of Texas at Austin, and an LL.M. in International Criminal Law from the University of Amsterdam. His research focuses on empirical legal studies using econometrics, NLP, and ML, examining topics like judicial behavior, legislative impact, and AI-driven governance. He has been funded by the ERC, Swiss NSF, and others. Research Interests: Elliott explores automation of legal decisions, text-as-data analysis in law, and the intersection of AI with legal systems. He develops tools like BallotBot and LePaRD to enhance legal transparency and public understanding. His work bridges law, economics, and computer science, with publications in top journals like the American Economic Journal and Review of Economics and Statistics . Teaching: Courses include Building a Robot Judge , Natural Language Processing for Law , and Big Data for Public Policy . He co-organizes the Zurich Workshop in AI+Economics and Monash-Warwick-Zurich Text-as-Data Workshops. Awards: European Research Council Starting Grant, Swiss National Science Foundation Grant, and multiple grants from U.S. and Swiss institutions. His work has been featured in NPR , VoxEU , and Georgetown Law Journal . Labs/Teams: Leads the Swiss AI Initiative's Human-AI Alignment team, collaborates with the CEPR on Political Economy research, and serves as an Economic Journal Associate Editor.
Lisa M. Jones is a Research Associate Professor of Psychology at the University of New Hampshire , affiliated with the Crimes Against Children Research Center (CCRC) and Family Research Lab . With over 20 years of experience, she specializes in child victimization, abuse, trafficking, and digital safety. Education: Ph.D. in Clinical Psychology – University of Rhode Island (1999) M.A. in Clinical Psychology – University of Rhode Island B.A. in Psychology – University of Virginia Research Focus: Dr. Jones's research spans child abuse and neglect , commercial sexual exploitation of children (CSEC) , human trafficking , youth internet victimization , and digital citizenship education . She leads multiple large-scale studies funded by the CDC, NIJ, WHO, and private foundations, focusing on prevention, intervention, and policy development. Current Projects: She is Principal Investigator on: A 5-year CDC-funded RCT evaluating youth-focused trafficking prevention education in Minnesota. An NIJ-funded quasi-experimental evaluation of Love 146’s services for trafficking victims. An NIJ-funded study on improving national surveillance of child sexual abuse in youth-serving organizations. Private RCTs evaluating digital citizenship programs like Common Sense Education and Google Be Internet Awesome. Publications & Impact: With over 100 publications, her work has shaped national and international discourse on child protection, digital safety, and trauma-informed practices. She regularly presents at national and international conferences. Contact: Email: lisa.jones@unh.edu Address: Crimes Against Children Research Center, 10 West Edge Dr., Suite 106, Durham, NH 03824, USA
Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in Human-Centered Design & Engineering , the Paul G. Allen School of Computer Science & Engineering , and the Information School at UW. He is a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University and a Fellow at the Center for Information Technology Policy at Princeton University during the 2023–2024 academic year. Educational Background : PhD in an interdepartmental program at Massachusetts Institute of Technology (MIT) , involving the MIT Sloan School of Management and the MIT Media Lab , advised by Eric von Hippel, Yochai Benkler, Tom Malone, and Mitch Resnick. MS in Media Arts and Sciences from MIT. B.A. in Technological and Legal History from Hampshire College . Research Interests span peer production, online communities, collective action, cooperation, learning, and computer-mediated communication. His work explores how communication and information technologies shape social outcomes in collaborative environments like Wikipedia and Linux, focusing on governance, moderation, anonymity, and educational platforms such as Scratch. Article Trends : His publications analyze peer production dynamics, privacy in open collaboration, and computational thinking in youth. Topics include underproduction in open source software, algorithmic fairness, taboo knowledge production, and legitimate peripheral participation in online communities. Methodologies combine big data, quasi-experimental, and comparative analyses. Scientific Awards : Dordick Award for Best Dissertation (2013). CHI '22 Best Paper Honorable Mention (2022). CSCW '18 Best Paper Honorable Mention (2018). CHI '17 Best Paper Honorable Mention (2017). CSCW '13 Best Paper Award (2013). CHI '11 Best Paper Honorable Mention (2011). Advising and Grants : He co-founded the Community Data Science Collective and collaborates with researchers like Aaron Shaw. Grants include multiple National Science Foundation awards for studies on digital knowledge commons, anonymous participation, and collaborative success, as well as a Sloan Foundation grant for modeling underproduction in peer production. Labs and Teams : He leads the Community Data Science Collective , an interdisciplinary research group studying online communities, and contributes to open-source projects like Debian and Ubuntu . He actively edits Wikimedia projects and participates in the Cascadia Wikimedians User Group .
Michael R. Dove is the Margaret K. Musser Professor of Social Ecology and Professor of Anthropology at Yale University, where he also serves as Curator of Anthropology at the Peabody Museum and Co-Coordinator of the Combined YSE/Anthropology Doctoral Program. With over forty years of research experience, his work focuses on environmental anthropology, particularly the environmental relations of local communities in South and Southeast Asia. Dove earned his B.A. from Northwestern University and his M.A. and Ph.D. from Stanford University. His academic journey has spanned decades of field research in Asia, including more than a dozen years conducting long-term studies on human ecology in Borneo and Java, developing government research capacity in Indonesia, and advising the Pakistan Forest Service on social forestry policies. Professor Dove's research interests encompass the anthropology of climate change, cultural and political aspects of natural hazards and disasters, indigenous environmental knowledge and practice, environmental institutions and movements, history of environment-related sciences, and multispecies ethnography. His work often examines how local environmental systems interact with national and global markets, politics, and ideologies, with a focus on problematizing orthodox approaches to conservation and development. He has made significant contributions to understanding human-environment relations through both theoretical frameworks and practical applications. Dove's recent scholarly output demonstrates a progression toward more integrated approaches to environmental challenges, blending historical perspectives with contemporary issues. His publications increasingly focus on the intersections of climate change, social justice, and indigenous knowledge systems, while maintaining his longstanding interest in Southeast Asian environmental relations. The work shows a growing emphasis on post-humanist approaches and multispecies ethnography, reflecting broader trends in environmental anthropology while maintaining his distinctive focus on political ecology and institutional analysis. As an educator, Professor Dove has supervised numerous doctoral and master's students, many of whom have gone on to win research awards and secure prestigious positions. He organizes separate research labs for doctoral students from Yale School of the Environment and other departments, as well as for joint YSE/Anthropology doctoral students. His advisees typically conduct international research and have excellent records of obtaining research support both within and beyond Yale. The Dove Lab at Yale School of the Environment serves as a hub for environmental anthropology research, focusing on topics including natural resource management, property rights, power struggles, household energy transitions, and human-wildlife interactions. The lab fosters a collaborative environment with 30-50 students working on related issues each year, characterized by supportive peer dynamics rather than competition. It also contributes to policy and social change through its research and the work of its alumni.
Laura DeMarco is a Professor of Mathematics at Harvard University and holds the Radcliffe Alumnae Professorship at the Radcliffe Institute for Advanced Study. She is affiliated with the Department of Mathematics at Harvard's Science Center (Office 337). Her research focuses on dynamical systems, arithmetic geometry, and complex analysis, with a particular emphasis on algebraic dynamics and the interplay between geometry and number theory. DeMarco earned her Ph.D. in Mathematics from Harvard University in 2002, with a thesis on holomorphic families of rational maps. Her work explores topics such as preperiodic points, moduli spaces of dynamical systems, and arithmetic equidistribution. She has organized events like the Algebraic Dynamics Seminar and participates in conferences worldwide, including the 2025 Diophantine approximation conference in France. Her research publications analyze geometric and arithmetic properties of dynamical systems, such as the geometry of preperiodic points, bifurcation measures, and the classification of polynomial basins of infinity. Her studies often bridge algebraic geometry, complex dynamics, and number theory, contributing to foundational questions in arithmetic dynamics. DeMarco has collaborated extensively with researchers like N. M. Mavraki, H. Krieger, and X. Wang, advancing topics like bounded geometry in dynamical families and uniform results in the Manin-Mumford conjecture. Her work has been published in leading journals such as the Annals of Mathematics, Compositio Mathematica, and the Journal of the European Mathematical Society.
