Anujit Chakraborty is an Associate Professor in the Department of Economics at the University of California, Davis . His research bridges Economic Theory , Behavioral Economics , and Experimental Economics , focusing on decision-making under risk and time constraints, procrastination, and present-biased behavior. Education : Ph.D. in Economics (University of British Columbia, 2017), M.S. in Quantitative Economics (Indian Statistical Institute, 2011), B.E. in Electronics Engineering (Jadavpur University, 2009) His work explores procrastination , present bias , prosocial behavior , and interpersonal uncertainty , often using experimental methods to analyze anomalies in economic preferences. Recent publications investigate democracy measurement , news source diversity , and peer-grading systems . Dr. Chakraborty teaches Intermediate Economics (ECN 100B) and Behavioral Economics at both undergraduate and Ph.D. levels.
Song Kim is an Associate Professor of Political Science at the Massachusetts Institute of Technology (MIT) and a Faculty Affiliate at the Institute for Data, Systems, and Society (IDSS). He holds a Ph.D. in Politics from Princeton University, where he was awarded the Harold W. Dodds Fellowship (2012-2013). His research focuses on International Political Economy, Formal and Quantitative Methodology, and Big Data analysis of international trade. He is particularly known for his work on firm-level political incentives in trade liberalization, which earned him the 2015 Mancur Olson Award and the 2018 Michael Wallerstein Award for best published article in political economy. Kim develops computational methods for analyzing trade data, including dimension reduction and visualization techniques. He maintains two key databases: LobbyView (tracking firm lobbying efforts) and TradeLab (for trade policy analysis). His research has been published in top journals such as the American Political Science Review, American Journal of Political Science, and International Organization. Educations : Ph.D. in Politics (Princeton University), B.A. not explicitly stated. His research interests include the dynamical evolution of lobbying networks, strategic links between political donations and lobbying, and the political origins of trade regulations. He also contributes methodological innovations, such as two-way fixed effects models and matching methods for causal inference with panel data. Awards : Mancur Olson Award (2015) Michael Wallerstein Award (2018) Harold W. Dodds Fellowship (2012-2013) Advising & Grants : No listed advisees. His work is supported by MIT’s IDSS and institutional funding. He collaborates on software tools like the 'wfe' and 'concordance' R packages, advancing computational social science. Labs/Teams : Associated with MIT’s Political Science Department and IDSS, focusing on interdisciplinary projects in trade, lobbying, and quantitative methods.
Michael Wara is a Senior Research Scholar at the Stanford Woods Institute for the Environment and Director of the Climate and Energy Policy Program. He holds a JD from Stanford Law School, a PhD in Ocean Sciences from UC Santa Cruz, and a BA from Columbia University. His work bridges legal, scientific, and policy domains to address climate and energy challenges through bipartisan technical assistance and research collaboration with economists, engineers, and scientists. His research focuses on carbon pricing mechanisms, energy innovation, and regulatory solutions for climate policy. He advises policymakers on designing effective laws and regulations, with particular expertise in international environmental treaties like the ozone and climate regimes. Wara also teaches courses on energy law, wildfire policy, and carbon taxation at Stanford Law School. Key contributions include analyzing the economic impacts of EPA regulations, evaluating California’s carbon market mechanisms, and advancing strategies to decarbonize building electrification. His interdisciplinary approach emphasizes practical solutions to global environmental challenges, leveraging Stanford’s expertise in energy systems and policy. Wara’s policy practicum courses engage students in real-world projects such as evaluating carbon pollution standards and wildfire management policies. His work frequently appears in peer-reviewed journals and media outlets like The Atlantic and New York Times , addressing topics like the Supreme Court’s EPA rulings and wildfire insurance issues.
Jorge Lemus is an Associate Professor of Economics at the University of Illinois at Urbana-Champaign, with a dual appointment in the College of Liberal Arts & Sciences and the College of Law. His research focuses on industrial organization, microeconomics, and the intersection of patent law with innovation policy. He holds a PhD in Economics and maintains affiliations in both economics and law schools, reflecting his interdisciplinary work. Key research interests include strategic patent examination processes, merger impacts on market competition, and design of contests and contracts in regulatory contexts. His work often addresses issues such as signaling in dynamic competitions, regulatory frameworks for innovation, and antitrust implications of patent settlements. Lemus has contributed to debates on topics like organizational disruption in the airline industry and the efficacy of post-grant patent opposition systems. Publications frequently explore empirical and theoretical dimensions of contests, patent litigation strategies, and regulatory outcomes. His work bridges economic theory with legal and policy analysis, particularly in areas affecting technological advancement and market dynamics. External collaborations and grants are not explicitly detailed in the provided texts, but his research website (https://sites.google.com/site/jorgelemuswebsite/) likely contains further details on ongoing projects and affiliations.
Meng Li is a Professor and the Endowed C. T. Bauer Chair of AI at the C. T. Bauer College of Business, University of Houston. He also serves as the founding Director of the Bauer Human-Centered AI Institute and the SCM PhD coordinator, highlighting his leadership in AI and operations research. His research centers on human-centered AI , managerial behavior , and human-algorithm interaction , with applications in supply chain management, operations, and strategic decision-making. His work explores cognitive biases, behavioral operations, and the integration of AI in business contexts. The 15 most recent publications demonstrate a consistent focus on behavioral aspects of operations management, particularly overconfidence, regret, and trust in AI systems. The research spans journals such as Management Science , Production and Operations Management , and Strategic Management Journal , indicating interdisciplinary impact across operations, strategy, and information systems. Scientific Awards and Honors: The President’s Circle Awards, University of Houston, 2025 Energy Transition Institute Award ($62.5K), 2024 John Aure Buesseler Distinguished Lectureship, Texas Tech, 2024 Shell Sustainability Research Grant ($100K), 2022 Management Science Distinguished Service Award, 2022 Rutgers Research Council Award, 2020 Finalist for INFORMS Best Service Science Paper Award, 2019 Meng Li advises PhD students as SCM PhD coordinator and leads major research initiatives through the Bauer Human-Centered AI Institute . His work is supported by grants from Shell, HPE, and NIST. He serves as Department Editor for Journal of Operations Management and Decision Sciences Journal , and Senior Editor for Production and Operations Management , and has guest-edited AI-focused special issues in top journals. He is actively building interdisciplinary teams at the intersection of AI, operations, and behavioral science, fostering collaborations across business, engineering, and health domains.
Yuvraj Agarwal is a Professor in the School of Computer Science at Carnegie Mellon University , where he leads the SYNERGY Labs . His research focuses on Systems and Networking with emphasis on Embedded Systems , Security , and Energy Efficiency in computing environments. He has been recognized with the NSF Expeditions in Computing Award for Computational Decarbonization research and multiple best paper awards. Education : PhD in Computer Science from University of California, San Diego Research Leadership : Founder/Director of SYNERGY Labs; Executive Director of NSF Expeditions in Variability (2010-2013) Research Trajectory : Recent publications highlight his work on Privacy-preserving smart classroom systems (EduSense, ClassID) IoT security labeling frameworks Audio privacy protection mechanisms Computational decarbonization of infrastructure His research combines hardware-software co-design with societal impact considerations. Scientific Recognition : NSF Expeditions in Computing Award for CoDec (2024) Ubicomp/IMWUT Distinguished Paper Award (2024) CHI Best Paper Honorable Mention (2022) Advising & Collaboration : Mentors students in IoT systems , privacy research , and green computing . Collaborates with institutions including University of Massachusetts Amherst and industry partners like Johnson Controls. Grants include NSF funding for multi-university research initiatives.
Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.
Tasos Kalandrakis is a Professor of Political Science at the University of Rochester, affiliated with the School of Arts & Sciences. He holds a PhD from UCLA (2000). His research focuses on political economy, game theory, legislative policy-making, and bargaining models. He has held academic roles including Associate Professor (Political Science and Economics) since 2010 and Assistant Professor roles at the University of Rochester and Yale University. His work bridges political science and economics, addressing topics like parliamentary systems, electoral competition, and institutional design. Education: PhD in Political Science (UCLA, 2000), MA in Political Science (UCLA, 1998), BA in Economics (AUEB, 1995). Research interests include dynamic legislative processes, strategic voting, and computational methods in political analysis. His recent articles explore equilibrium computation in bargaining models, minority government dynamics, and policy-making under uncertainty. He has advised multiple PhD students and contributed to conferences and journals globally. His teaching spans game theory, political institutions, and computational modeling. Service roles include organizing Wallis conferences, graduate admissions, and serving on search committees. He has held visiting fellowships and presented at institutions worldwide, including Caltech, Princeton, and the London School of Economics.
Witold J. Henisz serves as Vice Dean and Faculty Director of the Impact, Value, and Sustainable Business Initiative at The Wharton School, University of Pennsylvania, holding the Deloitte & Touche Professorship in Management. His research centers on political and social risk identification, ESG impact materiality, and corporate diplomacy frameworks that transform stakeholder relationships into strategic assets. His educational background includes a Ph.D. in Business and Public Policy from UC Berkeley's Haas School and an M.A. in International Relations from Johns Hopkins SAIS. Henisz has served as Departmental Editor at Journal of International Business Studies and Associate Editor at Strategic Management Journal , reflecting his scholarly influence. Research interests converge on geopolitical risk quantification, stakeholder engagement optimization, and sustainable business model innovation. His work demonstrates how political hazards materially impact firm valuation and how corporate diplomacy can mitigate conflict through strategic stakeholder alignment. Recent publications leverage massive media datasets (4+ billion articles) to model populism dynamics, indigenous land conflicts, and ESG-credit risk linkages. Award highlights include the Aspen Institute Ideas Worth Teaching Award (2020), Iron Prof recognition (2019), and Academy of International Business Fellowship. His geostrategy framework Geostrategy by Design (2024) provides executives with actionable methods for navigating geopolitical volatility. Aspen Institute Ideas Worth Teaching Award (2020) Iron Prof recognition (2019) Academy of International Business Fellow (2014-present) Multiple Wharton Excellence in Teaching Awards (2006-2021) Industry Studies Association Best Paper Award (2019) Henisz consults through PRIMA LLC for multinational firms (Rio Tinto, Shell), financial institutions (Eaton Vance, World Bank), and NGOs. His executive education programs train leaders in ESG integration and geopolitical risk management, while his KEROVKA crisis simulation develops real-time strategic response capabilities. Media frequently cites his expertise on ESG controversies, with 50+ major publications featuring his analysis since 2022 including Financial Times , Bloomberg , and Wall Street Journal .
Professor Masooda Bano serves as William Golding Senior Research Fellow at Brasenose College and Professor of Development Studies at the University of Oxford's Department of International Development. She leads the five-year ERC-funded Changing Structures of Islamic Authority (CSIA) project examining Islamic scholarly debates and their societal impacts. Her academic credentials include an MPhil in Development Studies from Cambridge and a DPhil from Oxford. These qualifications underpin her expertise in development theory and field research methodologies. Bano's research centers on the interplay between ideas, beliefs, and material incentives in development processes . She investigates how psycho-social factors shape individual choices and collective outcomes, with particular focus on Islamic authority structures, female education movements, and aid effectiveness. Her work combines large-scale comparative studies using ethnographic and survey data across Muslim-majority contexts. Recent publications reveal a concentrated focus on education policy in developing nations , especially Pakistan, Nigeria, and Indonesia. Key themes include decentralized education planning, low-fee private tuition markets, community participation models, and Islamic education systems. The research consistently examines religion-development intersections and institutional responses to social change. Her scientific recognition includes: Two competitive ESRC Fellowships A 1.4 million euro ERC Starting Grant for the CSIA project ESRC Best Social Science Impact award for Nigeria education interventions Bano supervises MPhil/DPhil theses at Oxford and has advised major development agencies, notably designing DfID's education reforms in northern Nigeria. Her CSIA project coordinates a multinational team conducting textual analysis, surveys, and ethnographic fieldwork to map evolving Islamic authority structures.
Rachel Cummings is an Associate Professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University, with a courtesy appointment in the Department of Computer Science. She serves as Co-chair of the Cybersecurity Research Center at Columbia’s Data Science Institute. Previously, she was faculty at Georgia Tech’s School of Industrial and Systems Engineering (ISyE), holding a courtesy appointment in Computer Science. She holds a Ph.D. in Computing and Mathematical Sciences from Caltech, with research visits at UPenn, Hebrew University, Microsoft Research, and the Simons Institute. Her research focuses on differential privacy, integrating tools from machine learning, algorithm design, economics, optimization, statistics, HCI, usable security, and public policy. She emphasizes practical applications of theoretical privacy-preserving methods. Key roles include Managing Editor for the Journal of Privacy and Confidentiality , service on the ACM U.S. Technology Policy Council, IEEE Standards Association, and Future of Privacy Forum’s Advisory Board. She has advised on the U.S. Census Bureau’s Scientific Advisory Council and served as a Fellow at the Center for Democracy & Technology. Recent work includes papers on privacy elasticity, synthetic control methods, and differential privacy under class imbalance. Her awards include NSF CAREER, DARPA Young Faculty Award, and Best Paper recognitions at DISC, CCS, and SaTML. She actively chairs conferences (e.g., DEF CON Crypto) and mentors students like Tingting Ou (PhD 2025) and Peihan Liu (PhD 2024–present). Her lab explores privacy-preserving technologies, policy implications, and interdisciplinary collaborations.
Philip M. Nichols is the Joseph Kolodny Professor of Social Responsibility in Business and Professor of Legal Studies and Business Ethics at The Wharton School, University of Pennsylvania. He holds a J.D. and LL.M. from Duke University and an A.B. from Harvard University. His scholarly and professional work centers on corruption control, institutional change in emerging economies, and ethical business practices. Research Interests: His research spans corruption as a global phenomenon, anti-bribery laws, shared value strategies, and the psychological and legal dimensions of bribery. He has conducted fieldwork in over twenty countries, especially in the former Soviet Union and Eastern Europe. His work integrates legal, ethical, economic, and sociological perspectives. Publication Trends: His recent publications focus on the United Nations Convention Against Corruption, the Foreign Corrupt Practices Act, and the moral and cognitive foundations of bribery. He frequently publishes in top law and ethics journals and contributes to authoritative commentaries. His interdisciplinary approach bridges law, psychology, and business ethics. Scientific Awards: Hoeber Award for best article in volume 48 of the American Business Law Journal (2011) Advising and Grants: While specific advisees are not listed, as a full professor and co-editor of major volumes, he likely mentors graduate students and junior scholars. He has served in leadership roles including President of the Academy of Legal Studies in Business and Co-Chair of UN/CEFACT LG, indicating grant and policy influence. His work has shaped discourse on transnational anti-corruption frameworks. Labs and Teams: He is affiliated with the Department of Legal Studies and Business Ethics at Wharton and is part of the core faculty of the Central Eurasian Studies Society at Penn. He co-chairs the Anti-Corruption Law Interest Group, reflecting active collaboration in scholarly networks.
Dylan Hadfield-Menell is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, holding the Bonnie and Marty (1964) Tenenbaum Career Development Professorship. His research focuses on AI alignment and human-AI interaction within MIT's School of Engineering. His research interests center on agent alignment problems in AI systems, particularly examining uncertainty in objective optimization for human-robot teams and societal oversight of machine learning systems. Key areas include the principal-agent alignment problem , assistance games frameworks , and robust preference learning that accounts for hidden contextual factors in reinforcement learning from human feedback. His recent publications reveal strong trends toward multi-agent cooperation , formal contract mechanisms for resolving social dilemmas, and advanced evaluation methodologies for AI safety. The research spans theoretical frameworks like open-universe assistance games while addressing practical challenges in language model alignment and cultural bias assessment. Scientific awards include: AI2050 Early Career Fellowship from Schmidt Futures Berkeley Fellowship NSF Graduate Research Fellowship C.V. Ramamoorthy Distinguished Research Award His work bridges theoretical computer science with real-world AI governance challenges, as demonstrated through MIT's participation in AI policy white papers. Current research directions include developing frameworks for transparent AI systems and addressing fundamental limitations in aligning recommender systems with human values through interdisciplinary synthesis.
Emilio Frazzoli is a Full Professor at ETH Zurich’s Department of Mechanical and Process Engineering. He leads the Institute for Dynamic Systems and Control and the Center for Sustainable Future Mobility, focusing on autonomous systems, robotics, and socio-technical control frameworks. Current affiliations: ETH Zurich (Dynamic Systems and Control, Sustainable Future Mobility) Research: Autonomous mobility-on-demand, game theory for resource allocation, and safety verification in multi-agent systems His work bridges robotics, control theory, and economics, with projects like the open-source AMoDeus simulation framework for autonomous taxis and karma-based resource allocation systems. Recent publications emphasize trustworthy AI, reproducibility in autonomous vehicle control, and human-robot interaction challenges. Notable projects include nuReality (VR-based pedestrian interaction studies) and CARSI II (context-driven vehicle interfaces).
Professor Wei Cui is a distinguished scholar at the Peter A. Allard School of Law at the University of British Columbia, where he joined the faculty in 2013. His expertise spans tax law and policy, international taxation, and Chinese legal studies, with significant contributions to understanding the intersection of tax policy, climate change, and global economic governance. Professor Cui's educational background includes a BA from Harvard College, an MA in Philosophy from Tufts University, a JD from Yale Law School, and an LLM in Taxation from New York University School of Law. He maintains strong institutional affiliations with the Centre for Asian Legal Studies, Centre for Chinese Research, and Centre for Business Law at UBC. Professor Cui's research focuses on tax law and policy with particular emphasis on international taxation, carbon pricing mechanisms, Chinese fiscal systems, and the relationship between tax policy and development. His work bridges theoretical insights with practical applications in tax administration, examining how tax systems function in different political and economic contexts. He has made significant contributions to understanding China's tax system and its implications for developing countries, as well as analyzing innovative approaches to carbon pricing and digital taxation. His recent publications demonstrate a clear trajectory toward addressing contemporary challenges in tax policy, particularly the intersection of taxation with climate change mitigation and digital economy regulation. Professor Cui's research on carbon contracts for difference, output-based pricing systems, and digital services tax reflects his engagement with pressing policy questions facing Canada and the international community. Insight Grant from the Social Sciences and Humanities Research Council of Canada Insight Grant from the Social Sciences and Humanities Research Council of Canada Professor Cui has engaged in significant scholarly supervision and research collaboration, with his work supporting numerous graduate students and research projects. His professional background includes over 10 years of tax law practice with global law firms in New York and Beijing, service as Senior Tax Counsel at the China Investment Corporation (2009-2010), and consultancy roles with China's National People's Congress, Ministry of Finance, State Administration of Taxation, and the United Nations. Professor Cui maintains active research laboratories and teams focused on comparative tax systems, with particular attention to China's fiscal development and its implications for global tax governance. His current research projects examine the evolution of international tax design as part of the post-WWII international economic order and tax/subsidy policies designed to combat climate change and support innovation.
