Arvind Parkhe is a Laura H. Carnell Professor of Strategy and International Business at Temple University’s Fox School of Business. He previously taught at Indiana University’s Kelley School of Business (1989–2003) and holds degrees from IIT Bombay (B.Tech.), Georgia State University (MBA), and Temple University (Ph.D.). His research focuses on strategic alliances, global supply chains, international joint ventures, and trust in cross-border partnerships. He has published in top journals like the Academy of Management Journal and Strategic Management Journal, earning awards such as the AIB Best Dissertation Award (1990) and JIBS Decade Award (2001). Teaching excellence spans all academic levels: recognized as outstanding faculty for Ph.D., MBA, and undergraduate programs. Service leadership includes Vice President of the Consortium for Undergraduate International Business Education (2014), Chair of Fox’s Strategic Management Department (2010–2020), and Managing Director of Fox MBA Programs (2005–2010). He received Temple’s Musser Outstanding Service Award (2012) and Faculty Service Excellence Award (2012). Key research contributions emphasize interorganizational networks, global competitive strategies, and trust mechanisms in alliances. His work bridges theory and practice, addressing challenges in global business operations and strategic collaboration.
Susan Fino is a Professor at the College of Liberal Arts and Sciences, Wayne State University. Her research focuses on public law, American constitutional law, administrative law, and the role of state supreme courts. She holds a B.A. from Johns Hopkins University, an M.A. and Ph.D. from Rutgers University. She has received the President's Award for Excellence in Teaching. Her courses include American Government (PS1010) and Constitutional Law (PS5110/PS5120), taught across multiple terms from 2023 to 2025. Dr. Fino's research explores judicial federalism, state constitutional frameworks, and legal interpretations of rights. Her work analyzes topics like church-state relations, taxation provisions in state constitutions, and assisted suicide debates. She has written extensively on state supreme court dynamics, including landmark cases and institutional performance metrics. Her scholarship bridges legal theory with practical governance challenges at both state and federal levels. Her publications span over three decades, addressing evolving legal landscapes such as the Rehnquist Court’s federalism approach and technological impacts on criminal sentencing. She consistently engages with issues at the intersection of law, politics, and societal values.
Dr. K. Max Zhang is a Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. He is the director of the Energy and the Environment Research Laboratory (EERL) and a fellow at the Atkinson Center for a Sustainable Future. His research is deeply interdisciplinary, focusing on sustainable energy systems, air quality, and environmental justice, with significant impacts on policy and community development in New York and beyond. Ph.D., Mechanical Engineering, University of California-Davis, 2004 B.S., Thermal Engineering, Tianjin University, 1998 B.A., English Language, Tianjin University, 1998 Dr. Zhang’s research centers on the integration of energy and environmental systems. He investigates air pollution dynamics using advanced numerical models like CTAG, with applications in near-source pollution, indoor air quality, and environmental justice. His work on renewable energy systems includes designing sustainable solar farms and managing distributed energy resources such as heat pumps to enhance grid flexibility. He also leads a pioneering initiative to create the first statewide public IoT network in the U.S., enabling hyperlocal weather forecasting and microclimate monitoring. His recent publications reflect a strong trend toward agrivoltaics, peer-to-peer energy markets, and IoT-based environmental monitoring. These works demonstrate a consistent focus on data-driven modeling, community-scale energy solutions, and the integration of social considerations into technical systems. The keywords across his articles highlight expertise in sustainability, machine learning, air quality, and energy transition. Cornell Town-Gown Achievement Award (2022) Engaged Scholar Prize, Cornell University (2017) People's Choice Sign of Sustainability Award, Sustainable Tompkins (2016) Scientific and Technological Achievement Award, Environmental Protection Agency (2015) Fellow of the American Society of Mechanical Engineers Dr. Zhang is actively involved in mentoring students and securing research grants from agencies such as the National Science Foundation (NSF) and the New York State Energy Research and Development Authority (NYSERDA). His projects often involve interdisciplinary collaboration across eight Cornell colleges and 16 academic departments. He has led initiatives such as the Cornell Atkinson Academic Venture Fund projects and the development of a county-level energy roadmap for Tompkins County. He also teaches courses in engineering thermodynamics, future energy systems, and air quality, emphasizing experiential and community-based learning. Dr. Zhang leads the Energy and the Environment Research Laboratory (EERL) and collaborates with the Atkinson Center for a Sustainable Future. His lab functions as a hub for innovation in sustainable communities, combining advanced modeling with real-world applications. Through partnerships with community organizations, government agencies, and industry, his team develops science-driven solutions to urban and rural sustainability challenges.
Gerald L. Neuman is the J. Sinclair Armstrong Professor of International, Foreign, and Comparative Law at Harvard Law School (HLS), where he serves as Director of the Human Rights Program. His expertise spans human rights, constitutional law, immigration law, and international legal frameworks. Previously, he taught at the University of Pennsylvania Law School (1984-1992) and Columbia Law School (1992-2006). Research Interests: Neuman's work focuses on: Human rights in populist and pandemic contexts Transnational constitutionalism Immigration law and extraterritorial constitutional rights Age discrimination as a human rights violation Impeachment's role in human rights protection Indirect discrimination analysis Selected Trends: His recent articles examine pandemic-era immigration policies ( Title 42 ), impeachment mechanisms for human rights violations, and age discrimination frameworks. Publications show consistent engagement with: Constitutional law intersections Comparative legal analysis Administrative law critiques Human rights treaty body applications Scientific Contributions: Neuman's work appears in leading journals like Harvard International Law Journal and Harvard Human Rights Journal . He has organized workshops on indirect discrimination related to: Sexual orientation/gender identity Chronological age Religious practice Disability rights Pandemic policy impacts He has served as a UN expert workshop organizer and contributed to international human rights literature through edited volumes and treaty analysis.
Nate Foster is a Professor of Computer Science at Cornell University and currently serves as the Associate Dean for Research in the Ann S. Bowers College of Computing and Information Science. He is also a Visiting Researcher at Jane Street and served as a Visiting Professor at École Polytechnique Fédérale de Lausanne during the 2023-24 academic year. His research uses ideas from programming languages to solve problems in networking, databases, and security. BA in Computer Science, Williams College (2001) MPhil in History and Philosophy of Science, University of Cambridge (2008, all work completed in 2003) PhD in Computer and Information Science, University of Pennsylvania (2009) Foster's research focuses on developing languages and tools that make it easy for programmers to build secure and reliable systems. His current work centers on the design and implementation of languages and tools for programmable networks, particularly using the P4 language. His past work includes bidirectional languages (also known as 'lenses'), database query languages, data provenance, type systems, mechanized proof, and formal semantics. His research group at Cornell has made significant contributions to network verification, software-defined networking, and formal foundations for programmable data planes. Analysis of Foster's recent publications reveals a strong focus on network verification and programming language foundations for networking. His work consistently applies formal methods to practical networking problems, with a particular emphasis on the NetKAT and P4 languages. Over the past five years, his research has evolved toward more complex network verification techniques, including infinite state verification, active learning of network models, and dependently-typed approaches to network programming. His work bridges theoretical computer science with practical networking systems, making formal methods accessible to network engineers. ACM Fellow (2025) ACM SIGPLAN Robin Milner Award (2023) ACM SIGCOMM Rising Star Award (2018) NSF CAREER Award (2013) Alfred P. Sloan Fellowship (2012) Multiple distinguished paper awards across top conferences including POPL, PLDI, and SIGCOMM Foster has advised numerous PhD and Master's students who have gone on to prominent positions in both industry and academia, with many continuing work in programming languages and networking. He has led multiple significant research grants including an NSF CAREER Award and has been involved in the P4 Language Consortium, serving as Chair of the P4 Language Governing Board. His work has been supported by various organizations including NSF, DARPA, and industry partners like Intel and Jane Street. Foster is also active in the programming languages research community, serving on numerous program committees and as Vice Chair of DARPA's Information Science and Technology (ISAT) study group. Foster leads a vibrant research group at Cornell focused on programming languages for networks, with collaborators from academia and industry. His group has developed several influential tools and frameworks including NetKAT, Petr4, and KATch. They maintain strong connections with the P4 community and work closely with industry partners to ensure their research has practical impact on real-world networking systems.
Jean C. Oi serves as the William Haas Professor of Chinese Politics in Stanford University's Department of Political Science and holds multiple leadership positions including Senior Fellow at the Freeman Spogli Institute for International Studies, Director of the China Program, and Lee Shau Kee Director of the Stanford Center at Peking University. Professor Oi earned her PhD from the University of Michigan and previously taught at Lehigh University and Harvard University before joining Stanford in 1997. Her research centers on comparative politics with specialized expertise in Chinese political economy and reform processes in transitional systems. She has made seminal contributions to understanding rural politics in China, introducing the influential concept of 'local state corporatism' to describe China's development model in her award-winning book Rural China Takes Off (1999). Her current research examines China's Belt and Road Initiative, fiscal politics and central-local relations, and structural change in China. Professor Oi maintains an active publication record with works spanning four decades, including her most recent 2025 article 'A Perfect Storm: Fiscal Discipline, COVID, and Local Government Debt in China' which analyzes how pandemic-era policies exposed China's fiscal vulnerabilities. Choice Outstanding Academic Title (1999) for Rural China Takes Off Professor Oi leads significant collaborative research initiatives, including directing the Stanford China Program at the Walter H. Shorenstein Asia-Pacific Research Center. Her fieldwork with Chinese scholars has examined rural community organization, public goods provision, and fiscal pressures from rapid urbanization, culminating in works like Challenges in the Process of China's Urbanization (2017).
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.
Sabrina Furtado is a Lecturer in Sport Management and Dean’s Associate Fellow at Loughborough University’s School of Sport, Exercise and Health Sciences. She holds a BSc, MSc, and PhD. Previously, she taught at the Federal University of Paraná and State University of Santa Catarina in Brazil, focusing on sport management, sports law, and entrepreneurship in the sports sector. Her research focuses on sports governance, strategic planning, and policy development in public and private sports entities. Key areas include Olympic and Paralympic federations, sports financing, and the impact of media representation on disability inclusion. She contributes to the Sport, Business and Society and Lifestyle for Health and Wellbeing research groups, as well as the Inteligência Esportiva Research Institute . Recent work analyzes governance structures in Santa Catarina municipalities, business intelligence applications in sports management, and modernization processes in Brazilian Olympic federations. Her publications span topics like Paralympic organizational roles, media stigma in disability sports reporting, and funding mechanisms for sports initiatives. No scientific awards are mentioned. Sabrina advises master’s students on sport management and policy but no grant details are provided. Her current projects aim to strengthen sports policies and enhance stakeholders’ engagement in the sport system.
Daniel E. Ho holds multiple prestigious positions at Stanford University: William Benjamin Scott and Luna M. Scott Professor of Law Professor of Political Science Professor of Computer Science (by courtesy) Senior Fellow, Stanford Institute for Economic Policy Research Senior Fellow, Stanford Institute for Human-Centered Artificial Intelligence Faculty Fellow, Center for Advanced Study in the Behavioral Sciences He serves on the National Artificial Intelligence Advisory Commission (NAIAC), as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). Ho earned his J.D. from Yale Law School and Ph.D. from Harvard University, completing a clerkship with Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit. His research bridges artificial intelligence, law, and public policy with emphasis on: Regulatory governance frameworks for AI systems Fairness and bias mitigation in algorithmic decision-making Environmental enforcement using satellite imagery and computer vision Methods for estimating racial disparities without direct demographic data Legal AI reliability and statutory research systems Analysis of his 2025 publications reveals a consistent focus on practical AI governance tools addressing real-world regulatory challenges. Key themes include developing benchmarks for legal applications, mitigating hallucination in legal AI tools, and creating systems for statutory research. His work demonstrates strong integration of technical AI methods with policy implementation, particularly in environmental enforcement and fairness assessment. As Director of the Regulation, Evaluation, and Governance Lab (RegLab), Ho leads interdisciplinary research partnerships with government agencies. While specific grant details aren't provided, RegLab's operational model indicates substantial research funding for policy-relevant AI projects. No student advisees are mentioned in available materials. Ho's leadership extends to national advisory roles where he shapes federal AI policy through evidence-based recommendations, particularly regarding environmental protection and civil rights enforcement mechanisms.
Anastasia Semykina is a Professor of Economics and Deputy Dean (Research and Innovation) at RMIT University's School of Economics, Finance & Marketing. She holds a PhD from Michigan State University (2006) and previously served as Charles and Joan Haworth Professor of Economics at Florida State University. Her expertise spans theoretical and applied econometrics, with a focus on panel data models, missing data estimation, and their application in labor economics, education economics, transition economies, and economic psychology. She teaches advanced econometrics and microeconomics courses at both undergraduate and graduate levels. Research Interests: Theoretical and Applied Econometrics Labor Economics Economics of Education Transition Economies Economics and Psychology Health Economics Her recent publications address topics such as panel data methodologies, healthcare cost-effectiveness analysis, and educational policy evaluation. She is actively involved in supervising PhD and Master's research students in econometrics and applied economics.
Dr. Xinan Zhang is an Associate Professor in the School of Engineering at The University of Western Australia (UWA), specializing in Electrical, Electronic, and Computer Engineering. He holds a BEng from Fudan University (2008) and a PhD from Nanyang Technological University (2014). Before joining UWA in 2019, he held roles as a Lecturer and Research Fellow in Singapore and Australia. His research focuses on power electronics, electrical machine drives, and renewable energy, with over 60 top-tier publications. He is the Portfolio Lead for Industry Engagement in UWA's School of Engineering and co-leads the Power and Clean Energy (PACE) research group. Education: BEng in Electrical Engineering, Fudan University (2004–2008) PhD in Electrical Engineering, Nanyang Technological University (2010–2014) Research Interests: Dr. Zhang’s work spans power electronics, renewable energy systems, energy storage, and smart grid technologies. He emphasizes practical applications, such as battery management systems for vanadium redox flow batteries and adaptive control strategies for microgrids. His contributions address challenges in energy efficiency, grid stability, and sustainable power solutions. Articles & Trends: Recent publications focus on advanced control algorithms for inverters, battery modeling, and renewable energy integration. His work combines data-driven methods with traditional control theory to enhance system efficiency and reliability. Notable areas include DC microgrid control, vanadium redox flow battery optimization, and model predictive control for power electronics. Awards: Listed in Stanford University’s Top 2% Scientists (2020–2022) Grants & Collaborations: He leads or co-leads projects funded by the Australian government and industry partners, including the GenX Betavoltaic Battery Pilot Manufacturing Process and Mine Electrification . These projects aim to advance clean energy technologies and industrial applications. Labs & Teams: As co-lead of the PACE group, he fosters interdisciplinary collaboration to tackle global energy challenges, aligning with UN Sustainable Development Goals for affordable and clean energy (SDG 7).
Scott D. Landes is a Professor in the Sociology Department at Syracuse University's Maxwell School of Citizenship and Public Affairs. He holds affiliations with the Aging Studies Institute, Lerner Center for Public Health Promotion, and Center for Aging and Policy Studies. Landes earned his Ph.D. in Sociology from the University of Florida in 2014. His research focuses on disability mortality disparities, veteran health outcomes, and the intersection of disability with medical and social theory. Education: Ph.D. in Sociology, University of Florida, 2014 Research Interests: Landes investigates mortality trends for disabled adults and veterans, disability theory integration with life course frameworks, and data equity in disability measurement. His work addresses systemic undercounting of disability in federal surveys and explores racial/ethnic disparities in lifespan outcomes for individuals with intellectual/developmental disabilities (IDD). Recent Research Trends: His publications analyze pandemic impacts on IDD populations, combat veteran longevity, and diagnostic overshadowing in mortality reporting. Recent work critiques Washington Group disability measures' limitations and advocates for improved data collection methods. Awards: 2025 Excellence in Graduate Education Faculty Recognition Award O’Hanley Faculty Scholar (Syracuse University) NIH-funded research projects on aging policy and mortality disparities Advising & Grants: Recipient of multiple National Institutes of Health grants. Advises on disability data equity initiatives and participates in interdisciplinary teams addressing veteran health disparities. Supervises graduate research on IDD lifespan trajectories and pandemic vulnerability. Labs/Teams: Core member of Syracuse’s Aging Studies Institute and Lerner Center for Public Health Promotion. Collaborates with the Center for Aging and Policy Studies on federal health data projects. Engages with national disability advocacy groups through research briefs and policy consultations.
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.
Massachusetts Institute of TechnologyUnited States
Noah Nathan is an Associate Professor of Political Science at Massachusetts Institute of Technology , with faculty affiliation at MIT’s Global Diversity Lab . He previously taught at the University of Michigan and earned his PhD in Government from Harvard University (2016) . Research Interests: Political economy of development Comparative political behavior Urban politics State-building Distributive politics and clientelism Political parties African political systems Article Trends: His recent work integrates urban built environments into political behavior analysis, with empirical studies across African cities. Key themes include state-building legacies in inequality, clientelist electoral systems, and architectural impacts on political engagement. Earlier work (2013-2020) focused on ethnic politics, leadership dynamics, and institutional design. Scientific Awards: 2024 William Riker Award for Best Book in Political Economy 2024 African Politics Conference Group Best Book Award 2023 Foreign Affairs Best Books recognition 2015 Heinz I. Eulau Award (APSR) 2024 Political Ties Best Paper Award (APSA) Advising & Grants: He has advised multiple published studies in top journals and secured research funding for field experiments in Ghana. Current work explores vernacular architecture’s political impact and state capture mechanisms. Labs & Teams: Affiliated with MIT’s Global Diversity Lab and collaborative networks across African politics research institutions.
Massachusetts Institute of TechnologyUnited States
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.
