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Steve Whittaker is Professor of Human-Computer Interaction at the University of California at Santa Cruz. He conducts interdisciplinary research at the intersection of social science and computer science, focusing on how technology affects human memory, communication, and personal information management. His current research explores human-centric AI systems, mental health technologies, and digital identity. His research interests center on designing interactive systems that support human needs in digital environments. He investigates how people manage digital information, remember personal experiences through lifelogging, and interact with conversational agents and social robots. His work emphasizes computational well-being, affective computing, and the social implications of technology use. He has made foundational contributions to the fields of personal information management (PIM), computer-mediated communication (CMC), and human-robot interaction. The recent publications reflect a strong trend toward mental health technology, human-AI interaction, and digital well-being. His work spans from theoretical models of emotion and memory to practical systems for mental health apps, chatbots, and immersive visualization. He frequently publishes in top-tier venues such as CHI, CSCW, and IUI, often in collaboration with researchers across disciplines. Lifetime Research Achievement Award from SIGCHI Fellow of the Association for Computational Machinery (ACM) Member of the CHI Academy Lasting Impact Award from ACM CSCW Best Paper Award at CSCW10 Best Paper Award at CHI07 Honourable Mention at ACM CHI 2020 Multiple best paper nominations at CHI, CSCW, and IUI MIT Siegel Prize Steve Whittaker has supervised numerous PhD and Master’s students, though specific names are not listed in the provided text. His research has been funded by major grants from NSF, NIH, and industry partners, enabling long-term studies on digital behavior and system development. He is Editor of the journal Human Computer Interaction and has authored over 200 peer-reviewed publications. His most recent book, The Science of Managing Our Digital Stuff (MIT Press), co-authored with Ofer Bergman, synthesizes decades of research on personal information management. He leads a vibrant research lab at UC Santa Cruz that focuses on human-centered computing, where students and collaborators work on projects involving AI, mental health, digital memory, and social interaction. The lab has produced influential work on lifelogging, email management, telepresence robots, and algorithmic transparency. The team employs mixed methods, combining qualitative studies with system design and evaluation.

• Human-Computer Interaction
• Computer Mediated Communication
• Personal Information Management
• +11 more

Marc Juarez Miro is a Lecturer in Cyber Security and Privacy at the School of Informatics, University of Edinburgh. He is a member of the Security, Privacy, and Trust (SecPrivTru) research group, and affiliated with the Security and Privacy Research Institute and the Laboratory for Foundations of Computer Science. His research lies at the intersection of cybersecurity, privacy, and machine learning. Key areas include ML-based traffic analysis , security and privacy of machine learning models , and fairness in private learning systems . He investigates both theoretical and practical aspects of privacy-preserving technologies, including watermarking in generative AI and defenses in anonymity networks like Tor. Recent publications in venues such as USENIX Security, PETS, and SaTML highlight his work on vulnerabilities in watermarking schemes, fairness in differentially private ML, and traffic analysis mitigation. These works reflect a strong trend toward auditing and improving the trustworthiness of AI and privacy systems. Google Research Scholar Award in Security (2024) PETS Student Paper Award He actively supervises PhD and Master’s students, including Kai Yao and Lisa Lavrentieva, and has secured competitive seed funding such as the GAIL grant for research on undetectable watermarks in generative AI. His advising focuses on privacy, security, and ethical AI. Marc leads and co-organizes research initiatives such as a workshop on watermarking for generative AI and contributes to open-source tools like wfpadtools and dispa-plugin, indicating strong engagement with both theoretical and applied aspects of privacy engineering.

• Cyber Security
• Privacy
• Machine Learning Security
• +7 more

Lilly Irani is an Associate Professor in the Department of Communication at the University of California, San Diego. She holds multiple interdisciplinary affiliations including Science Studies, the Design Lab, the Institute for Practical Ethics, and Critical Gender Studies. As Faculty Director of the UC San Diego Labor Center and co-director of the Just Transitions Initiative, she plays a significant role in shaping labor and technology policy discussions at the university and beyond. Dr. Irani's educational background includes a Ph.D. in Informatics (with Feminist Emphasis) from UC Irvine, and both an M.S. and B.S. in Computer Science from Stanford University, with a focus on Human-Computer Interaction. Her unique combination of technical training and social science expertise informs her research approach, bridging practical design work with critical analysis of technology systems. Her research investigates the cultural politics of high-tech work practices with a focus on how actors produce "innovation" cultures. She specializes in the cultural politics of high-tech work in the context of South Asian development and global AI economies. As an ethnographer of work, she analyzes interactional, organizational, and cultural dynamics as mediated by technology. Her work draws on and contributes to Science and Technology Studies, Human-Computer Interaction, and South Asia studies, with particular attention to how technological systems create and reinforce hierarchies of value, gender, race, and cultural positioning. Dr. Irani's publications reveal consistent engagement with issues of digital labor, platform economies, and the politics of innovation. Her work shows a trajectory from examining specific platforms like Amazon Mechanical Turk to broader critiques of innovation culture and entrepreneurial citizenship, with recurring themes of worker power, surveillance, and democratic control of technology. 2020 International Communication Association Outstanding Book Award 2019 Diana Forsythe Prize Honorable mention at CHI 2019 Dr. Irani has received research funding from prestigious organizations including the Ford Foundation, Fulbright-Nehru Doctoral Fellowship, Open Society Foundation, National Science Foundation Graduate Research Fellowship, and NSF Virtual Organizations as Sociotechnical Systems Program. She serves on the editorial advisory boards of Design and Culture, New Technology, Work, and Employment, and Catalyst: Feminism, Theory, Technoscience, and is part of the editorial collective of Public Culture. Collaboratively, she has designed software tools like Turkopticon and Dynamo that intervene in and demonstrate alternatives to existing platforms, with Turkopticon evolving into a worker-run advocacy organization. Her research group and collaborations span multiple disciplines, working closely with scholars in Science and Technology Studies, Human-Computer Interaction, and labor studies. The Just Transitions Initiative she co-directs represents a significant ongoing project focused on democratic control of technology and worker power in the digital economy.

• Science and Technology Studies
• Human-Computer Interaction
• South Asia Studies
• +7 more

Dr. Caroline Emmer De Albuquerque Green is a Senior Research Fellow in Social Sciences at Jesus College and serves as Director of Research and Head of Public Engagement at the Institute for Ethics in AI , University of Oxford. Her work bridges artificial intelligence, human rights, and aging studies. LLB (Hons), University of Edinburgh MSc, Human Rights, London School of Economics MA, Investigative Journalism, City University PhD, Gerontology, King’s College London Caroline’s research focuses on the ethical implications of AI in aging, health, and social care. She explores inclusive AI governance, stakeholder engagement, and the human rights dimensions of AI in caregiving contexts. Her recent publications address AI legislation (e.g., EU AI Act), care home ethics, and pandemic response frameworks. As Director of Research, Caroline leads the Accelerator Fellowship Programme and organizes public events like the AI in Social Care Summit. She collaborates with the Aspen Institute’s Technology Leaders Initiative and contributes to Oxford’s Stephen A. Schwarzman Centre for the Humanities.

• AI Ethics
• Human Rights
• Gerontology
• +4 more

Prof. Dr. M. Bjørn von Rimscha is a full-time Professor of Media Economics at the Department of Social Sciences, Media and Sport, Johannes Gutenberg University Mainz. He serves as Prodekan for Studium und Lehre since 2023 and previously held leadership roles including Geschäftsführender Leiter of the Institute for Journalism. His research focuses on media economics, digital transformation, advertising markets, and cross-border media management. Positions: Professor (2015–present), Prodekan (2023–present) Education: Freie Universität Berlin, University of Ulster Key Collaborations: Co-edited De Gruyter Handbook of Media Economics (2024), Handbuch Medienökonomie (2021) His recent work examines digital disruption in media industries, payment models for journalism, and the economic value of creativity. He advises PhD students like Robin Riemann and holds editorial roles at the Journal of Media Business Studies . Contact: b.vonrimscha@uni-mainz.de

• Media Economics
• Communication Science
• Digital Media Transformation
• +3 more

Karen Livescu is a Professor at the Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed graduate institute for computer science located on the University of Chicago campus. She also serves as a courtesy faculty member in the Department of Computer Science at the University of Chicago and is an Affiliated Scholar at the Data Science Institute there. Her research focuses on advancing speech and language processing through innovative machine learning approaches. Education: PhD in Electrical Engineering and Computer Science from MIT (2005) S.M. from MIT Department of Electrical Engineering and Computer Science (1999) A.B. in Physics from Princeton University (1996) Karen's research spans multiple dimensions of speech and language processing with particular emphasis on speech recognition, spoken language understanding, and multimodal processing. She has made significant contributions to articulatory feature-based speech recognition, self-supervised learning for speech representation, and sign language processing. Her work consistently bridges machine learning techniques with linguistic and speech science knowledge, focusing on creating more robust, interpretable, and inclusive speech processing systems that can handle diverse languages and modalities. Her recent publication trajectory reveals a strong focus on self-supervised learning for speech representation, multilingual speech processing, and sign language understanding. She has been instrumental in developing benchmark frameworks like SUPERB and ML-SUPERB that have become standard evaluation tools in the speech community. Her work increasingly addresses critical challenges in low-resource language scenarios, language disparities in speech technology, and ethical considerations in real-world deployment. Scientific Awards: Best Paper award at EMNLP 2024 for 'Towards robust speech representation learning for thousands of languages' Best Student Paper Award at ASRU 2023 Best Short Paper Award at CRAC 2021 Top system at WMT-SLT 2023 Karen has successfully advised numerous PhD students and postdoctoral researchers who have gone on to faculty positions at institutions like University of Waterloo, University of Edinburgh, and Stellenbosch University, as well as industry roles at major technology companies including Google, Meta, and NVIDIA. Her research group has secured significant funding for projects including the development of the SLUE benchmark for spoken language understanding and the SUPERB framework for evaluating self-supervised speech models. She has been actively involved in organizing workshops and symposia that bring together researchers in speech and language processing. Karen leads the Speech and Language at TTIC (SL@TTIC) research group, which maintains a strong collaborative relationship with researchers at the University of Chicago and other institutions. The group has been particularly active in advancing sign language processing through projects like ChicagoFSWild and OpenASL, while also making significant contributions to spoken language understanding and multilingual speech recognition. Her team regularly participates in community challenges and benchmarks, helping to push the field forward through open science and collaborative evaluation frameworks.

• Speech Processing
• Language Processing
• Machine Learning
• +5 more

Ethan Mollick is the Ralph J. Roberts Distinguished Faculty Scholar, Rowan Fellow, and Associate Professor of Management at the Wharton School of the University of Pennsylvania. He serves as Co-Director of the Generative AI Labs at Wharton, where he researches AI's impact on work, entrepreneurship, and education. His academic background includes a PhD and MBA from MIT's Sloan School of Management and a bachelor's degree from Harvard University. Mollick's research spans artificial intelligence applications in business and education, entrepreneurship dynamics, and innovation management. He explores how generative AI transforms classroom education through simulations like PitchQuest, and investigates startup funding disparities with a focus on gender representation. His work on the 'jagged technological frontier' demonstrates how humans integrate AI capabilities through Centaur and Cyborg approaches. His publications reveal consistent focus on practical AI implementation, with recent work examining prompt engineering for diverse idea generation, AI-assisted teaching strategies, and gender representation tipping points in venture capital. The research shows increasing emphasis on educational applications since 2022, coinciding with the ChatGPT breakthrough. MBA Professor of the Year Award, Poets & Quants (2024) Named to TIME Magazine's Most Influential People in Artificial Intelligence ASQ Award for Scholarly Contribution (2024) Greif Research Impact Award (2020) McGraw-Hill/Academy of Management Innovation in Entrepreneurship Pedagogy Award (2016) As Co-Director of Wharton's Generative AI Labs, Mollick leads prototype development and research on human-AI collaboration. His teaching includes Technology Strategy, Entrepreneurship, and Innovation courses where he implements AI simulations. He has advised numerous organizations and co-founded a startup prior to academia, bringing practical experience to his research on solo versus team ventures. Mollick directs Wharton Interactive's game development initiatives, creating educational simulations including PitchQuest (AI-powered VC simulator), The Saturn Parable (crisis management), and The Entrepreneurship Game. His lab work focuses on creating scalable AI educational tools that provide personalized learning experiences through simulated practice environments.

• Artificial Intelligence
• Generative AI Applications
• Entrepreneurship
• +5 more

Dr. HAJNAL Géza is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, where he serves in the Department of Hydraulic and Water Resources Engineering. His office is located in Room K. ép / mf. 12/7, and he can be contacted via email at hajnal.geza@emk.bme.hu or phone at +36 1 463 2362. His teaching portfolio includes active courses such as Hydraulic Engineering, Water Management (BMEEOVVAT43) and Hydrometric Field Course (BMEEOVVAI44). Previously, he taught Hidrogeology (BMEEOGMMET3) and Hydrogeology of Subsurface Water (BMEEOGMDT81). HAJNAL's research specializes in hydrogeology , with emphases on karst aquifer dynamics, groundwater flow modeling, climate impacts on hydrology, and hydraulic engineering. His work integrates field measurements (e.g., drip-water monitoring in Buda Castle Cave) with advanced numerical modeling to address complex hydrological challenges in Hungarian watersheds. Analysis of his 15 most recent publications (2013–2025) reveals dominant themes: 73% focus on karst/fractured aquifers , 20% on hydrological modeling techniques , and 7% on socio-environmental conflicts. Recurrent technical subfields include seepage flow validation, transmissivity determination, and rainfall-runoff sensitivity. No scientific awards, grants, student advisees, or lab affiliations are documented in the provided materials.

• Hydrogeology
• Karst Aquifers
• Groundwater Flow Modeling
• +3 more

Professor Raghavendra Rau is the Sir Evelyn de Rothschild Professor of Finance at Cambridge Judge Business School, University of Cambridge. He is the Founder and Academic Director of the Cambridge Centre for Alternative Finance (CCAF) and serves on editorial boards of journals like the Journal of Corporate Finance and Journal of Banking and Finance. He will be President of the Financial Management Association in 2025 and has held visiting roles at Gresham College, Universiti Malaya, and University of Jordan. Education: MBA (IIM Bangalore), MSc, PhD (INSEAD) Previous Roles: Principal at Barclays Global Investors, Ambank Chair, Gresham Professorship His research focuses on how investors and firms process information, with key areas including corporate governance, behavioral finance, fintech, digital finance, CEO decision-making, and ESG. He explores links between prenatal environmental exposure and executive risk-taking, gender diversity in finance, and regulatory impacts on crowdfunding and digital lending. Recent publications analyze serial acquirers' behavior, CSR impacts on firm value, superstitious fund managers, and digital financing regulations. His work bridges behavioral biases, environmental factors, and financial innovation. Awards include the 2015 Ig Nobel Prize in Management.

• Corporate Finance
• Behavioral Finance
• Information Economics
• +6 more

Christiane Fellbaum serves as Lecturer with Rank of Professor in Princeton University's Program in Linguistics and Department of Computer Science, where she has been a senior research scholar since returning in 1987 after postdoctoral work at the University of Paris. Her foundational contributions to computational linguistics include co-developing WordNet and co-founding the Global WordNet Association. Her educational background features: Ph.D. in Linguistics, Princeton University (1980) Postdoctoral Fellowship, University of Paris Fellbaum's research integrates theoretical linguistics with computational applications, specializing in lexical semantics, corpus analysis, and semantic network construction. Her work bridges computational linguistics and lexicography through projects like WordNet and Medical WordNet, with recent emphasis on multilingual resources, bias analysis in embeddings, and African language technology development. She examines semantic phenomena including idioms, verb alternations, and emotion scales through both corpus linguistics and formal ontological frameworks. Analysis of her publication trajectory reveals sustained innovation in lexical resource development since the 2000s, evolving from foundational WordNet studies to contemporary work on large language model adaptation and social bias mitigation. Current research demonstrates increasing interdisciplinary collaboration across NLP, cognitive science, and social justice applications. Her scientific recognition includes: Wolfgang Paul Prize from the German Humboldt Foundation (2001) Antonio Zampolli Prize (2006) Fellbaum has secured continuous research funding from the U.S. National Science Foundation, European Union Seventh Framework, Frank Moss Foundation, and Tim Gill Foundation. She actively mentors junior researchers through Princeton's Independent Work seminars and hosts the North American Computational Linguistics Olympiad (NACLO), while leading major international collaborations including the KYOTO and SIERA European projects. As director of the WordNet project and permanent fellow at the Berlin-Brandenburg Academy of Sciences, she maintains leadership in global lexical resource initiatives through the Princeton Language and Intelligence initiative and Natural and Artificial Minds research group.

• Theoretical Linguistics
• Computational Linguistics
• Corpus Linguistics
• +3 more

Ottmar Edenhofer serves as Director and Chief Economist of the Potsdam Institute for Climate Impact Research (PIK), Director of the Mercator Research Institute on Global Commons and Climate Change (2012-2024), Professor for The Economics and Politics of Climate Change at Technische Universität Berlin, and Chair of the European Scientific Advisory Board on Climate Change (ESABCC) since 2022. His affiliations span leading European climate research institutions and academic bodies. Edenhofer's research focuses on climate change economics, particularly the impact of technological change on mitigation costs, public finance implications of climate policy, distributional effects of carbon pricing, and governance of global commons. His work bridges theoretical economic modeling with practical policy design, emphasizing equity considerations and institutional frameworks for effective climate action. He pioneered social science research at PIK, establishing rigorous methodologies for translating scientific findings into actionable policy advice. His publication record demonstrates consistent leadership in high-impact climate economics research, with seminal contributions to IPCC assessments (serving as Co-Chair of Working Group III for the Fifth Assessment Report) and influential analyses of carbon pricing mechanisms. Recent work increasingly addresses carbon dioxide removal governance, distributional justice in climate policy, and the integration of climate action with broader sustainable development goals. His research consistently appears in top journals including Nature, Science, and Nature Climate Change. Edenhofer has received numerous scientific honors including the Romano Guardini Prize (2018), Deutsche Umweltpreis (2020), and Arthur Burkhardt-Prize (2021). He belongs to the top 1% of most cited scientists globally (2018-2022) and was ranked among Germany's top 10 economists (2019-2020). His policy influence extends to serving as Vatican consultor for the Dicastery for Promoting Integral Human Development and advising EU institutions through ESABCC. As a science-policy interface leader, Edenhofer has shaped climate negotiations leading to the Paris Agreement and continues to advise European institutions on implementing climate neutrality targets. His work emphasizes the critical role of carbon pricing with equitable revenue recycling and the strategic sequencing of climate policies to maintain political feasibility while achieving deep decarbonization.

• Climate Change Economics
• Carbon Pricing
• Public Finance
• +5 more

Vasant Dhar is the Robert A Miller Professor of Business and Professor of Data Science at the Leonard N. Stern School of Business at New York University. He serves as Director of Industry Relations and specializes in Technology, Operations, and Statistics. Joining Stern in 1983, Professor Dhar has established himself as a leading expert in artificial intelligence, data science, and financial technology. Professor Dhar's educational background includes: Ph.D. in Artificial Intelligence from the University of Pittsburgh (1984) M.Phil. from the University of Pittsburgh (1982) B.Tech. in Chemical Engineering from the Indian Institute of Technology, Delhi (1978) His research focuses on how risk influences our trust in AI systems, demonstrating the existence of an "automation frontier" that expresses a tradeoff between how often machines will be wrong and the consequences of their errors. Professor Dhar examines how innovations such as Artificial Intelligence impact our lives, and how we can create technology and policy for a better future in a world of increasingly intelligent machines. His work spans financial applications of AI, where he was among the first to bring machine learning to Wall Street in the 1990s, founding the machine-learning-based hedge fund SCT Capital Management. Professor Dhar's recent publications reveal a strong focus on the practical applications and societal implications of AI. His work addresses critical issues including AI reliability in financial document analysis, the governance of AI companies, ethical considerations in biometric payments, and the evolving relationship between humans and increasingly intelligent machines. His research demonstrates how AI is transforming various sectors while raising important questions about trust, accountability, and the future of work. Among his notable recognitions is the Robert A Miller Professorship, an endowed chair position at NYU Stern. His research has been funded by grants from industry and government agencies such as the National Science Foundation. Professor Dhar teaches courses on Systematic Investing, Data Science, Prediction, and Tech Innovation. He has written over 100 research articles and is the host of the "Brave New World" podcast, which explores how technology and virtualization in the post-COVID era is transforming humanity. He publishes fortnightly at vasantdhar.substack.com and is a frequent speaker in academic and industrial forums.

• Artificial Intelligence
• Data Science
• Machine Learning
• +5 more

Tariq Iqbal is an Assistant Professor at the University of Virginia , with joint appointments in the Department of Systems and Information Engineering and Department of Computer Science . He leads the Collaborative Robotics Lab (CRL) , specializing in human-robot teams and embodied AI . Previously, he was a Postdoctoral Associate at MIT's CSAIL , advised by Prof. Julie Shah , and earned his Ph.D. in Computer Science from University of California San Diego (UCSD) under Prof. Laurel Riek . Ph.D. in Computer Science, University of California San Diego (2017) M.S. in Computer Science, University of Texas at El Paso (2012) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) His research lies at the intersection of artificial intelligence and robotics , focusing on human-robot collaboration in dynamic environments. Key areas include motion prediction , multimodal fusion , trust modeling , and collaborative learning . His work integrates cognitive science and deep learning to enhance robotic fluency in naturalistic settings. Recent publications (2023–2025) highlight advancements in human-robot team dynamics , multimodal dataset creation , and motion prediction algorithms . Notable works include Energy-Based Transformers for scalable AI, PoseTron for motion prediction, and Accessible Navigation Mapping for assistive robotics. These contributions span trust modeling , cloud robotic infrastructure , and safety in close-proximity collaboration . National Science Foundation (NSF) CAREER Award Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award Commonwealth Center for Advanced Manufacturing (CCAM) Innovation Award As faculty, he has secured grants from NSF and AFOSR , mentored research students, and taught courses like Stochastic Modeling I (SYS 6005) and Robots and Humans (SYS 4582/6465, ECE 4502/6465, CS 6465) . His prior industry roles at IBM Watson Lab and Grameenphone Ltd. inform his applied research in telecom infrastructure and cognitive robotics . He leads the Collaborative Robotics Lab (CRL) at UVA, which develops multimodal datasets , real-time coordination algorithms , and adaptive pathfinding systems . Current projects explore human motion prediction , team synchrony , and embodied question-answering , reflecting his commitment to advancing human-robot fluency and contextual AI .

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +7 more

Laura A. Meek is an Assistant Professor in the Department of Anthropology at the University of British Columbia Okanagan , specializing in Medical Anthropology , Decolonial Science and Technology Studies , and East African research . She holds affiliations with interdisciplinary networks like the UBC-O Science and Technology Studies Collective and co-directs the Storying Otherwise: Creative Ethnographic Writing Hub . PhD, MA in Anthropology (University of California, Davis) MA in Women’s Studies (George Washington University) Honors BA in Comparative Human Development (University of Chicago) Her research examines counterfeit pharmaceuticals and bodily epistemologies in Tanzania, framed through feminist , decolonial , and anti-racist lenses . She investigates leprosy elimination campaigns and fugitive science practices across Africa and Hong Kong, with recent work focusing on creative ethnographic prose and critical disability studies . Her publications span high-impact journals like Social Science & Medicine and Medical Anthropology Quarterly , addressing themes of radical uncertainty and world-making practices . Laura’s 15 most recent articles (2021–2025) analyze: pharmaceutical counterfeits in East Africa, the temporal politics of leprosy , anti-colonial global health , and creative writing as research . Her work bridges Indian Ocean connections and STS frameworks to critique neocolonial health governance. 2025 Collaborative Research Mobility Award 2024 Wenner-Gren Workshop Grant 2023 MAE–MAT Early Career Paper Award 2021 Society for Humanistic Anthropology Creative Ethnographic Prose Prize 2018 Wenner-Gren Dissertation Grant 2013 NSF Doctoral Dissertation Grant She supervises M.A. and Ph.D. students in UBC-O’s Interdisciplinary Graduate Studies programs, particularly in global health , African politics , and STS . Her professional service includes co-chairing the 2026 Cascadia Medical Anthropology Seminar and serving on the American Anthropological Association Nominations Committee .

• Pharmaceuticals and Counterfeit Drugs
• Antimicrobial Resistance
• Medical Anthropology
• +10 more

Jonathan B. Wiener is the William R. Perkins Distinguished Professor of Law at Duke Law School, Professor of Environmental Policy at the Nicholas School of the Environment, and Professor of Public Policy at the Sanford School of Public Policy at Duke University. He serves as Co-Director of the Duke Center on Risk in the Science & Society Initiative and holds affiliations with Resources for the Future (RFF), the Administrative Conference of the United States (ACUS), Duke Kunshan University, and the Harvard Center for Risk Analysis. President, Society for Risk Analysis (2008) Co-Chair, SRA World Congress on Risk (2012) Founding Faculty Director, Duke Center for Environmental Solutions (2000-05) Co-Director, Rethinking Regulation Program (2015-19) His research focuses on comparative risk regulation , climate change policy , environmental economics , and international regulatory cooperation , with recent work on solar radiation modification governance , multirisk frameworks , and adaptive policy design . Key projects include the Duke Center on Risk and the Duke Rethinking Regulation initiative. Scientific awards include the Chauncey Starr Young Risk Analyst Award (SRA, 2003) Richard J. Burk Outstanding Service Award (SRA, 2014) University Fellow of Resources for the Future Senior Fellow of ACUS He has advised on climate treaties , international risk assessments , and regulatory reform , with grants from institutions like the Intergovernmental Panel on Climate Change and China Council for International Cooperation on Environment & Development . His work bridges law , policy , and decision sciences .

• Environmental Policy
• Public Policy
• Risk Regulation
• +6 more