Joel Andreas is a Professor of Sociology at Johns Hopkins University since 2003, serving as Program Director of the East Asian Studies Program. His research focuses on political contention, social inequality, and social change in contemporary China. He holds a PhD in Sociology from UCLA and teaches social theory, political sociology, and courses on Chinese society. He has held visiting positions at universities including the University of Sydney, Hong Kong University, and Ningxia University. His work examines labor movements, rural land policies, and class dynamics in China. Recent research includes analyses of staff-worker congresses, rural land dispossession, and the persistence of militarism in U.S. policy. He critiques market reforms and explores the legacy of the Cultural Revolution. Andreas has contributed to debates on China’s transition to capitalism and the decline of socialist systems. His publications span topics from urbanization to state coercion in rural development. He maintains an active role in academic exchanges and policy-relevant research on China’s socio-political landscape.
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Sean Caoمشاهده پروفایل
دانشیار
Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.
Emily Hannum is a Professor of Sociology and Education at the University of Pennsylvania's College of Arts & Sciences, where she also serves as Associate Dean for Social Sciences. She is affiliated with the Population Studies Center, Center for the Study of Contemporary China, Graduate School of Education, and Penn Development Research Initiative. Education: PhD in Sociology from University of Michigan (1998) Research Focus: Poverty and child welfare, gender and ethnic stratification, sociology of education Projects: Gansu Survey of Children and Families, climate-environment-childhood inequalities in LMICs Workshops: Co-organizer of Penn Education and Inequality Workshop Her research explores childhood poverty in China, demographic impacts on education systems, and climate risks affecting children's welfare. She investigates environmental hazards, educational disparities, and family separation effects across China, India, and low/middle-income countries. Recent publications analyze educational expansion in East Asia, climate crisis impacts on child health, and gender disparities in Latin America. She directs longitudinal studies on rural poverty and collaborates on cross-national projects related to environmental and educational equity. Scientific awards include the Stanley I. Sheerr Term Professorship in Social Sciences.
Todd Sorensenمشاهده پروفایل
دانشگاهی
Todd Sorensen is an Associate Teaching Professor at the University of California, Merced (UC Merced), affiliated with the School of Social Sciences, Humanities & Arts and the Economics and Business Management department. He holds fellowships at IZA (Institute of Labor Economics) and GLO (Global Labor Organization). Prior to UC Merced, he served as an Associate Professor at the University of Nevada, Reno (2014–2023) and an Assistant Professor at UC Riverside (2007–2014). His professional journey includes a visiting role as Visiting Associate Professor at UC Merced before his current appointment in 2022. Education: PhD in Economics, University of Arizona, 2007 Research Interests: Todd's work focuses on labor market structures , exploring topics like monopsony power and wage-setting dynamics; immigration , including its demographic and policy implications; and discrimination , particularly in criminal sentencing and labor markets. His research has been published in journals like ILR Review , Labour Economics , and the Journal of Population Economics , with findings cited in the U.S. Economic Report of the President. Scientific Awards: Fellow at IZA (2022–present) Fellow at GLO (2022–present) Advising & Grants: Todd has advised students across various levels but no specific advisees are listed. His grants and funding sources are not detailed in the provided text. He collaborates with interdisciplinary teams and maintains affiliations across UC campuses through his and his spouse’s academic careers. Labs/Teams: Engaged with research networks at IZA and GLO, focusing on labor market policies and migration studies. Active in collaborative projects analyzing immigration trends, labor market competition, and discrimination metrics.
Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.
Stephen Marglin is the Walter S. Barker Professor of Economics at Harvard University, Department of Economics. His research critically examines foundational assumptions of economics, particularly how economic theories marginalize community and cultural values. He explores labor-surplus economies, cost-benefit analysis, and macroeconomic adjustment processes. His work challenges mainstream economics through publications like The Dismal Science: How Thinking Like an Economist Undermines Community (2008). Marglin also advises governments and international agencies on economic policy, including recent tax reform work in Puerto Rico. His teaching integrates standard economics with critical perspectives, focusing on modernity's cultural impact and globalization. Research interests include development economics, economic theory, and the interplay between economic systems and cultural values. His articles span Keynesian theory reinterpretation, labor dynamics, and critiques of neoclassical economics. Marglin collaborates with his spouse, anthropologist Frédérique Apffel-Marglin, blending economic and cultural analyses. Personal interests include gardening, animal husbandry, and family life. He has held roles such as adviser to governments and institutions, emphasizing policy relevance. His academic contributions are translated into multiple languages, reflecting global influence.
Emilio A. Parrado is the Dorothy Swaine Thomas Professor of Sociology at the University of Pennsylvania's School of Arts & Sciences and Director of the Population Studies Center. His research focuses on migration dynamics, particularly Hispanic populations in the U.S., international migration patterns, and social/demographic changes in Latin America. He combines quantitative and qualitative methods, including original survey and ethnographic data. Education: Ph.D. (Sociology, University of Chicago, 1997), M.A. (Sociology, University of Chicago, 1994), B.A. (Sociology, University of Buenos Aires, 1988). Key research areas include: Migrant health risks and transnational mobility (e.g., HIV/STI patterns at the U.S.-Mexico border) Gendered impacts of migration on labor markets and family structures Demographic transitions and social inequality in Latin America, including post-pandemic labor market shifts in Argentina Recent work emphasizes deportation effects on mental health, regional migration trends to Buenos Aires, and the intersection of immigration policy with fertility and urban development. His Migrante Project focuses on Mexico-U.S. border health observatories. Awards: None explicitly listed. Active in grants related to migrant health and labor studies. Labs/Teams: Leads the Population Studies Center and collaborates with the Latin American and Latino Studies Program at UPenn.
Arvind Karunakaranمشاهده پروفایل
استادیار
Arvind Karunakaran is an Assistant Professor at Stanford University in the Department of Management Science and Engineering. He holds affiliations with the Center for Work, Technology, and Organization (WTO) , Stanford Technology Ventures Program (STVP) , Stanford Institute for Human-centered Artificial Intelligence (HAI) , and the Digital Economy Lab (DEL) . His research focuses on authority and accountability in the workplace , particularly under technological change and human-AI augmentation. Education: Ph.D. from MIT Sloan School of Management (2018) His work employs ethnographic and field-based methods to study empirical puzzles in workplace dynamics, complemented by comparative-historical analysis and quantitative/textual data analysis . Key research areas include social/algorithmic evaluation of workers , human-AI reskilling , and conflicts in symmetrical relations . Recent publications analyze AI's impact on workplace inequality , platform governance , and crowd-based accountability . His findings are published in top journals like Administrative Science Quarterly and Organization Science . Scientific Awards & Recognitions: Best Published Paper Award (ASA, 2025) Gerard J. Tellis Best Junior Faculty Paper Award (AIM Conference, 2025) W. Richard Scott Article Award (ASA, 2024) Responsible Research in Management Award (RRBM, 2024) Future of Organizations Fellowship (2024) Professor Karunakaran advises doctoral and master's students in areas related to technology and organizations , and teaches courses on organizational behavior , organizational theory , and innovation management .
Pol Antràs serves as the Robert G. Ory Professor of Economics at Harvard University, where he has been a faculty member since 2003. He holds significant research affiliations as a Research Associate at the National Bureau of Economic Research (NBER), where he directed the International Trade and Organization Working Group, and as a Research Affiliate at the Centre for Economic Policy Research (CEPR). He also contributes to the Barcelona School of Economics as a member of its Scientific Council. His academic foundation includes a BA and MSc in Economics from Universitat Pompeu Fabra in Barcelona and a PhD in Economics from MIT (2003). Antràs specializes in international economics and applied theory, with recent research focusing on global value chains, the interplay between globalization and interest rates, market power in global markets, and international relations. His work examines how firms organize cross-border production, the implications for trade policy, and the structural transformations in international trade following events like pandemics. He bridges rigorous theoretical modeling with empirical analysis to address contemporary economic challenges. His publication record reveals a sustained focus on the evolution of global trade architecture, particularly the rise of production networks and their vulnerability to disruptions. Recent work explores unconventional intersections such as monetary policy's impact on trade flows and the political economy of ideology-driven foreign influence. His major scientific distinctions include: Alfred P. Sloan Research Fellowship (2007) Fundación Banco Herrero Prize (2009) Fellow of the Econometric Society (2015) Member of the American Academy of Arts and Sciences (2024) As Editor of the Quarterly Journal of Economics (2015-2020) and contributor to multiple editorial boards, Antràs shapes scholarly discourse in economics. His research is institutionally supported through NBER and CEPR affiliations, though specific grant details aren't publicly itemized. He maintains an active role in mentoring graduate students at Harvard. He drives collaborative research through leadership in the NBER's International Trade and Organization Working Group and CEPR's research networks, fostering international scholarly exchange on trade and globalization.
Esteban Rossi-Hansberg is the Glen A. Lloyd Distinguished Service Professor of Economics at the University of Chicago's Kenneth C. Griffin Department of Economics (since 2021). Previously, he held professorships at Princeton University (2005–2021) and Stanford University (2002–2005). He earned his Ph.D. in Economics from the University of Chicago in 2002. He serves as a Research Associate at the National Bureau of Economic Research (NBER) and a Research Fellow at the Center for Economic Policy Research (CEPR). He co-directs the Becker Friedman Institute's International Economics and Economic Geography Initiative and is Lead Editor of the Journal of Political Economy . His research focuses on international trade, regional and urban economics, growth, organizational economics, and climate change. Key topics include city structure, offshoring impacts, spatial frictions, climate adaptation, and agglomeration effects. His work has been published in major economics journals, and he has received prestigious awards such as the Alfred Sloan Fellowship (2007), August Lösch Prize (2010), and election to the American Academy of Arts and Sciences (2022). Recent work explores the economic geography of climate change, including adaptation strategies and migration dynamics. He has analyzed spatial distribution of economic activity under climate scenarios and the role of carbon taxes in reshaping global economies. His studies often use dynamic spatial models to quantify local and global economic impacts. His contributions span theoretical frameworks and empirical analyses, addressing policy questions like optimal industrial strategies, spatial equity, and adaptation to environmental challenges. He collaborates widely, with co-authors including Klaus Desmet, Stephen Redding, and others, producing influential papers on migration, trade, and urban systems.
Gyu Tag Lee is a Professor in the International Studies Department at George Mason University Korea, specializing in Cultural Studies with a focus on K-Pop, media criticism, and the globalization of culture. He holds a PhD in Cultural Studies from George Mason University (2013), an MA in Communication from Seoul National University, and a BA in English Language and Literature from the same institution. Having completed three years of military service in the Republic of Korea Air Force, he has been teaching at George Mason University Korea since 2014. His research interests span Cultural Studies, Media Criticism, Popular Music, K-Pop and Hallyu, Globalization of Culture, and Music Industry studies. Professor Lee is particularly recognized for his expertise on K-Pop's global expansion, cultural appropriation issues within the industry, and the relationship between Korean cultural identity and global pop music markets. His extensive publications reflect a consistent focus on K-Pop's evolution, from its historical roots to contemporary challenges and future directions. His work examines the tension between local Korean identity and global appeal, the role of digital platforms in fan engagement, and the cultural politics surrounding K-Pop's international success. Professor Lee's research demonstrates how K-Pop functions as both a cultural product and economic phenomenon with significant implications for understanding transnational cultural flows. As a respected commentator in the field, he serves on the selection committee for the Korean Music Awards and has been featured in numerous international media outlets including Wall Street Journal, South China Morning Post, Netflix's documentary Explained, and major Korean broadcasters such as KBS, MBC, and SBS. His insights on cultural appropriation in K-Pop have been particularly influential in shaping discussions about cultural sensitivity and global cultural exchange. Professor Lee teaches courses including Media Criticism, Globalization and Culture, K-Pop, Hallyu, and Korean Society, and Korean Popular Culture in a Global World, bringing his scholarly expertise directly into the classroom to educate the next generation of cultural critics and analysts.
- Cultural Studies
- Media Criticism
- Popular Music
- +۵ مورد دیگر
Kevin Pisciottaمشاهده پروفایل
استادیار
Kevin Pisciotta is an Assistant Professor of Finance at the University of Kansas School of Business, specializing in empirical corporate finance, initial public offerings (IPOs), and information intermediaries. His work bridges corporate finance theory with real-world market dynamics, focusing on IPO processes, analyst behavior, and economic impacts of social issues like opioid abuse and sports betting. Education: Ph.D. in Business Administration, Pennsylvania State University M.S. in Finance, University of Delaware B.S. in Finance, University of Delaware Research Interests: His research explores how IPO bookbuilding mechanisms influence market outcomes, the role of sell-side analysts in information dissemination, and the macroeconomic consequences of phenomena like opioid abuse and sports gambling. He also investigates labor economics through the lens of corporate innovation and workforce productivity. Publications Trends: Recent work examines the interplay between sports betting and household financial stability (2024), IPO marketing strategies post-JOBS Act reforms (2018), and the spillover effects of opioid abuse on regional innovation ecosystems (2023). His studies frequently employ large-scale datasets to analyze market microstructure and policy impacts. Grants/Advising: No specific grants or advisee names are listed in available materials. Teaching experience includes undergraduate courses in investments, international finance, and corporate financial management. Labs/Teams: No dedicated lab affiliation is mentioned, though collaborations with institutions like Pennsylvania State University and the University of Delaware are implied through his educational background and co-authorships.
Prasanna (Sonny) Tambe is a Professor at the Wharton School of the University of Pennsylvania, specializing in the economics of technology and labor markets. His research explores AI’s impact on workforce dynamics, HR algorithms, and the gender wage gap in tech industries. Education: Ph.D. in Managerial Science and Applied Economics (Wharton, UPenn); S.B. and M.Eng. in Electrical Engineering and Computer Science (MIT). His work leverages internet-scale data from job platforms and patent databases to analyze trends in skill acquisition, remote work diversity, and algorithmic bias in hiring. Recent studies examine AI’s role in HR decision-making, the economics of emerging technologies, and labor market responses to IT innovation. Scientific Awards: Best Undergraduate Professors (Poets & Quants, 2020) Best Paper Awards (Management Science, Information Systems Research) ISS Sandra A. Slaughter Early Career Award (2016) Tambe co-directs Wharton Human-AI Research, focusing on ethical AI integration in organizations. His teaching includes award-winning courses on AI’s societal implications and data-driven business strategies.
Tyler Wryمشاهده پروفایل
دانشیار
Tyler Wry is an Associate Professor of Management at the Wharton School, University of Pennsylvania . His research focuses on hybrid ventures and social enterprises that balance conflicting commercial and social goals. He has published in top-tier journals such as Academy of Management Annals , Academy of Management Journal , and Organization Science . He serves on the editorial boards of Administrative Science Quarterly , Academy of Management Journal , and Academy of Management Review . Research Highlights : Hybrid organizations, social entrepreneurship, nanotechnology startups, disaster philanthropy, microfinance dynamics, institutional logics, and strategic adaptation during crises. Teaching : Courses on entrepreneurship, social impact, venture creation, and research methods, including project-based learning and hands-on venture development. Scientific Awards include the IACMR Presidential Award, ONE/NBS Research Impact Award, Carolyn Dexter Award, and multiple best paper recognitions. His work has also been recognized through fellowships and teaching awards. Notable Contributions : Demonstrated how corporate disaster involvement accelerates recovery, how patriarchal societal logics affect microfinance lending to women, and how contextual factors shape social-financial tradeoffs in hybrid organizations.
James A. Evans is a Professor at the University of Chicago, where he serves as Director of the Knowledge Lab and Faculty Director of the Masters Program in Computational Social Science. He is also an External Professor at the Santa Fe Institute. His research bridges computational methods with social theory to analyze collective cognition, innovation, and knowledge production across science, technology, and broader societal domains. Director, Knowledge Lab Faculty Director, Masters Program in Computational Social Science External Professor, Santa Fe Institute Evans’s research explores how social and technical institutions shape discovery processes, utilizing machine learning, network modeling, and large-scale data analysis. His work spans fields like computational social science, sociology of science, and data science, focusing on team dynamics, peer review, and the global structure of scholarship. His recent publications examine team size effects on innovation, discursive influence in academia, and the interplay between tradition and novelty in research strategies. Articles trend toward interdisciplinary approaches combining social theory, computational methods, and science policy. Evans supports novel observatories for human understanding through crowdsourcing, sensor networks, and semantic modeling. He has received funding from the National Science Foundation, National Institutes of Health, and Air Force Office of Scientific Research, with findings featured in major media outlets like Nature , Science , and The New York Times .
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