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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 .

• Sociology of Work and Occupations/Professions
• Organization Theory
• Technological/Organizational Change
• +4 more

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.

• Economics of IT Labor
• Technological Change and Reskilling
• Algorithms and AI in HR and Management
• +5 more

Lisa M. Lynch is the Maurice B. Hexter Professor of Social and Economic Policy at Brandeis University’s Heller School for Social Policy and Management. She currently serves as the Stone Visiting Scholar/Visiting Professor of Public Policy at Harvard Kennedy School’s Malcom Wiener Center for Social Policy (2025-2026). Lynch has held leadership roles including Provost and Executive Vice President of Academic Affairs at Brandeis (2014-2020), Interim President of Brandeis (2015-2016), and Dean of the Heller School (2008-2014). She leads the Institute for Economic and Racial Equity and directs the Heller School’s PhD program. Her education includes a BA in Economics and Political Science from Wellesley College, and an MSc and PhD in Economics from the London School of Economics. She has taught at Tufts University, MIT, Ohio State University, and the University of Bristol. Lynch’s research focuses on labor economics, organizational innovation’s impact on productivity and wages, racial and gender disparities in labor markets, youth unemployment, and school-to-work transitions. Her work often bridges academic research with policy-making, particularly in training, workplace practices, and economic equity. Her articles highlight trends in labor market adaptations to technological changes, pandemic effects on employment, and historical shifts in women’s roles in economics. She has received numerous awards, including MIT’s Teaching Award (1988), Tufts’ Outstanding Faculty Award (2000), and the Susan C. Eaton Scholar Practitioner Award (2007). Notably, she was elected to the National Academy of Social Insurance in 2023. Lynch advises through institutional roles like Director of the Retirement and Disability Research Center (UMBC, 2023-2025). She collaborates with labs/teams such as the National Bureau of Economic Research (NBER) and IZA (Institute for Labor Economics), contributing to interdisciplinary policy research.

• Labor Economics
• Economic Policy
• Social Welfare Planning
• +7 more

William R. Kerr is the Dimitri V. D'Arbeloff MBA Class of 1955 Professor of Business Administration at Harvard Business School and Senior Associate Dean for Faculty Development and Research. He co-directs the Managing the Future of Work initiative and chairs the Launching New Ventures program. His research focuses on migration’s impact on business, innovation ecosystems, and global talent dynamics. He authored The Gift of Global Talent , examining migration’s role in reshaping economies and societies. His research interests encompass entrepreneurship, innovation policy, labor economics, and technology’s transformative effects on work. He explores how firms and economies adapt to rapid technological change, shifting labor markets, and globalization challenges. His work bridges academic insights with practical business strategies, advising policymakers and executives globally. Recent articles highlight themes like reskilling vs. workforce replacement, workplace segregation trends, and corporate responses to geopolitical crises. His awards include the Kauffman Prize Medal for Entrepreneurship Research and Harvard’s teaching distinction. He leads initiatives addressing talent pipelines, automation, and hybrid work models through Harvard’s Future of Work project. Kerr’s advisory roles and grants focus on scalable solutions for workforce transitions, inclusive growth, and innovation policy. He collaborates with organizations like the World Bank and governments to design evidence-based strategies. His work emphasizes the intersection of business strategy and societal challenges, such as talent mobility and technological disruption.

• Entrepreneurship
• Innovation Policy
• Global Talent Migration
• +3 more

Edward D. Hess is a Professor of Business Administration at the Darden Business School, University of Virginia. Previously, he served as an Adjunct Professor and Executive Director of The Center for Entrepreneurship and Corporate Growth and The Values-Based Leadership Institute at Emory University. His work focuses on high-performance organizations, innovation, and human adaptability in the Smart Machine Age. Research interests include business growth, organizational learning, leadership, and the intersection of technology and human behavior. Recent publications explore humility, emotional intelligence, and strategies for thriving in a digital economy. Trends in his work emphasize AI ethics, future workforce skills, and adaptive organizational cultures. Wachovia Award for Research Excellence for 'Smart Growth' Wells Fargo Award for Research Excellence for 'Learn or Die'

• Business Growth
• Innovation
• Organizational Learning
• +5 more

Dr. Junghwan Kim is an Associate Professor in the Department of Educational Administration and Human Resource Development at Texas A&M University, serving as Program Leader for the Workforce, Adult, & Lifelong Education (WALE) program. Previously, he held tenure at the University of Oklahoma. His research focuses on learning dynamics in nonprofit and corporate contexts, leadership development across generations, and policy analysis of HRD and lifelong learning systems. He has secured over $350K in research funding and published extensively in journals like Adult Education Quarterly and HRD Review . Education: Ph.D., Adult Education (The Pennsylvania State University) M.A., Education (Yonsei University) B.A./B.A., Political Science & Education (Yonsei University) Research Interests: Dr. Kim examines how learning intersects with career trajectories, organizational change, and societal engagement. His work emphasizes marginalized populations such as older workers, non-traditional students, and North Korean defectors. Recent projects include digital health literacy programs and the impact of high-impact educational practices in arts institutions. Grants & Projects: Annenberg Research Fellowship ($150K) for digital health literacy work Texas A&M Triads for Transformation Grant ($30K) for shared leadership research Strategic National Arts Alumni Project ($5K) study on community engagement Awards: 2021 Annenberg Research Scholar 2020 SNAAP Research Fellow 2018 Most Promising Faculty Award (University of Oklahoma) He holds editorial roles at journals including Adult Learning and International Review of Education , and leads international collaborations through organizations like KAERA and AHRD. His mentoring focuses on bridging academic research with practical HRD applications globally.

• Adult Education
• Human Resource Development (HRD)
• Lifelong Learning
• +7 more

Jorge Tamayo is an Assistant Professor of Business Administration in the Strategy Unit at Harvard Business School. He teaches the Strategy course in the MBA curriculum and focuses on applied microeconomics, particularly industrial organization and development economics. His research examines firm decision-making, productivity, and market responses to pricing strategies such as subscriptions and memberships. He holds a Ph.D. in Economics from the University of Southern California, and prior to academia, worked at the Central Bank of Colombia and as an adjunct professor at Eafit University. His research interests include managerial quality’s impact on productivity, competitive pricing dynamics, and the effects of economic policies on crime and labor markets. Notable contributions include studies on labor productivity in garment factories, the relationship between formal employment and organized crime, and the design of reskilling programs in the age of AI. He has co-authored multiple award-winning articles, including the 2023 HBR Prize-winning piece on reskilling. Tamayo has also developed teaching materials on strategic interactions, labor unrest, and corporate digital transformation. His work spans case studies on firms like Davivienda Bank’s digital transformation, Arcos Dorados’ logistics challenges, and Toyota’s labor union dynamics in Argentina. Key themes include organizational responses to technological change, workforce training strategies, and the interplay between economic structures and societal outcomes.

• Industrial Organization
• Development Economics
• Management Practices
• +5 more

Gilbert Michaud, PhD, is an Assistant Professor of Environmental Policy at Loyola University Chicago’s School of Environmental Sustainability, where he coordinates the “Climate & Energy” Focus Area. He holds adjunct roles as Faculty Affiliate at the Gerald R. Ford School of Public Policy (University of Michigan) and Senior Research Fellow at Global Law Initiatives for Sustainable Development (gLAWcal). His research focuses on renewable energy policy, electricity markets, and sustainable economic development, with emphasis on energy transition impacts like workforce dynamics, tax implications, and pollution mitigation. Michaud earned his PhD in Public Policy and Administration from Virginia Commonwealth University and a Data Analytics certificate from Cornell University. He leads the Michaud Energy Policy Research Group at Loyola and has secured major grants, including a U.S. Department of Energy Solar Energy Technologies Office (SETO) grant studying community acceptance of large-scale solar projects. His work spans over 90 technical reports and peer-reviewed articles in journals such as Journal of Environmental Planning and Management and Renewable Energy Focus . He chairs the national policy division of the American Solar Energy Society (ASES) and serves as associate editor of Frontiers in Sustainable Energy Policy . Notable awards include the 2023 VCU 10 Under 10 Award and 2022 Midwest Energy Innovator of the Year. His research collaborations involve organizations like the Natural Resources Defense Council, The Nature Conservancy, and utility-scale solar coalitions. Michaud teaches courses on energy law, policy design, and sustainable systems at Loyola. Current projects include analyzing solar energy’s community impacts, policy barriers to equitable clean energy transitions, and workforce development strategies for energy sector shifts. His interdisciplinary approach combines policy analysis with quantitative methods like machine learning and GIS modeling.

• Renewable Energy Policy
• Electricity Markets
• Sustainable Economic Development
• +5 more

Andrew Weaver is an Associate Professor at the University of Illinois' School of Labor and Employment Relations, with research focusing on labor economics, employment discrimination, and workforce policy. His work examines non-regular employment, skill demand, and hiring practices through empirical studies in global contexts. Specializes in labor market reforms Analyzes gender discrimination in hiring Studies skill mismatch in manufacturing Recent publications reveal trends in: Policy Analysis: Employer responses to labor legislation in South Korea Global Labor Studies: Hiring dynamics in Egypt and US laboratories Technology Impact: IT sector hiring challenges and reskilling debates Weaver's work combines econometric methods with field research to address critical labor market questions.

• Labor Economics
• Employment Discrimination
• Labor Market Reforms
• +4 more

Jeff Strohl is a Research Professor at the McCourt School of Public Policy, Georgetown University, where he serves as Director of Research at the Center on Education and the Workforce. His work bridges economic analysis with education and labor market policy, focusing on how education shapes workforce opportunities and economic outcomes. Dr. Strohl's research interests include labor economics, education policy, workforce development, and socioeconomic diversity in higher education. He investigates how skills and competencies can be better measured and aligned with evolving job demands, particularly in the context of structural economic shifts and technological change. His recent publications explore critical issues such as inequality in access to quality jobs, historical trends in workforce composition, the impact of standardized testing on college admissions, and the dynamics of upskilling and downsizing in manufacturing. These works reflect a consistent focus on equity, policy evaluation, and the interplay between education and economic opportunity. Notable projects include the design of models predicting occupational offshoring risks and economic evaluations of federal education and workforce programs such as GEAR UP and Youth Opportunity Grants. His expertise in program evaluation and economic modeling has informed national policy discussions. Dr. Strohl previously held a senior analyst and project director role at Westat, Inc., where he led studies on postsecondary access and education outcomes. His current leadership at Georgetown positions him at the forefront of research on education-to-workforce pathways.

• Labor Economics
• Education Policy
• Workforce Development
• +6 more

Joan Jané serves as Professor in the Department of Operations, Information, and Technology at IESE Business School (University of Navarra), where he joined in 2012 and became New York campus director in September 2024. He directs the #AeroSpaceDay Industry Meeting and customized executive programs for multinational corporations while teaching across IESE's degree offerings. His academic preparation includes: PhD in Industrial Engineering (Polytechnic University of Catalonia) MBA (ESADE, Ramon Llull University) Industrial Engineering degree (Polytechnic University of Catalonia) General Management Program (IESE) Innovation Leadership Program (Stanford GSB) Professor Jané's research centers on supply chain innovation with emphasis on digital transformation, strategic logistics alliances, and Industry 4.0 applications. His work bridges operational excellence with social impact consulting , particularly examining how 3D printing and agile manufacturing enable sustainable production models that reconcile global trade with local manufacturing. Recent publications (2023-2025) reveal three converging trends: (1) on-demand production systems reducing carbon footprints, (2) pay-per-use business models transforming manufacturing economics, and (3) digital twins enabling responsive supply chains. These works consistently connect theoretical frameworks with practical implementations across aerospace, consumer goods, and industrial sectors. His scientific recognition includes: Logistics Research Prize (Spanish Logistics Association) United States Patent for manufacturing innovations With 25+ years of executive leadership at HP across EMEA supply chains, Professor Jané directs MBA program development and corporate partnerships while translating industry experience into academic frameworks. His grant-funded work focuses on agile manufacturing ecosystems and sustainable logistics. As founding member of the Agile Manufacturing Society, he advances research on responsive production systems through industry-academia collaborations focused on reshoring and digital transformation.

• Innovation in Supply Chains and Logistics
• Digital Transformation of Supply Chains
• Strategic Alliances in Logistics
• +2 more

Amir Behzadan is a Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder and a Fellow at the Institute of Behavioral Science (IBS), where he leads the Natural Hazards Center. He directs the Connected Informatics and Built Environment Research (CIBER) Lab, focusing on AI/ML solutions for disaster resilience, climate adaptation, and workplace safety. His work bridges societal needs and built/natural environments through human-centered technologies. Education: PhD in Civil Engineering, University of Michigan, Ann Arbor (2008) MS in Construction Engineering and Management, University of Michigan, Ann Arbor (2005) BS in Civil Engineering, Sharif University of Technology, Iran (2003) Research Interests: Disaster resilience, AI-driven flood mapping, construction safety, climate adaptation, and human-centered technologies. His lab develops affordable AI solutions for challenges like post-disaster debris estimation, urban flood depth mapping, and worker health monitoring. Key Contributions: Over 100 peer-reviewed articles, grants from federal/state agencies and industry, and leadership roles in editorial boards of Construction Engineering and Management (ASCE) and Smart and Sustainable Built Environment (Emerald) . Notable awards include the 2025 Faculty Fellow appointment and recognition for top-downloaded articles in prestigious journals. Awards: 2025 Faculty Fellow, University of Colorado Boulder 2024 Plenary Speaker, IAEM Annual Conference 2023 ASCE Journal of Engineering Mechanics "Editor's Choice" 2022 Second Place, ASCE Best Data Award 2019 Highly Cited Article, Journal of Advances in Engineering Software Grants & Collaborations: Supported by NSF, FEMA, and industry partners. Projects include AI for flood response, veteran employment studies, and immersive VR training systems. Leads interdisciplinary initiatives like the CIBER Lab's AI-empowered disaster resilience frameworks. Labs & Teams: CIBER Lab (director) focuses on AI for built environment challenges. Collaborates internationally with institutions like UNICAMP (Brazil) and Texas A&M. Hosts workshops on AEC education innovation and resilient cities.

• Disaster Resilience
• Climate Change Adaptation
• Construction Safety
• +5 more

Prasanna (Sonny) Tambe is a Professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania and Co-Director of Wharton Human-AI Research. His research lies at the intersection of technology, labor economics, and organizational behavior, with a focus on how AI and data science are transforming work, skills, and human resource management. He holds a Ph.D. from Wharton and advanced degrees in Electrical Engineering and Computer Science from MIT. University: University of Pennsylvania School: Wharton School Department: Department of Operations, Information and Decisions Academic Rank: Professor Email: tambe@wharton.upenn.edu Research Interests: Tambe’s research centers on the economics of IT labor markets, AI and work, and algorithms in HR. He investigates how technological change affects worker reskilling, wage disparities, remote hiring, and algorithmic bias. His work often uses large-scale data from online labor platforms to analyze career trajectories and employer behavior. Recent Research Trends: His recent publications explore the impact of generative AI on hiring, the gender wage gap in emerging tech roles, and how remote work increases applicant diversity. His articles reveal a strong trend toward using machine learning and natural language processing to study innovation, labor markets, and ethical AI. He frequently publishes in top journals such as Management Science , MIS Quarterly , and Information Systems Research . Scientific Awards: Poets & Quants Best Undergraduate Professors, 2020 Best Student Paper, INFORMS Conference on Information Systems and Technology, 2020 Best Student Paper, Workshop on Information Systems and Economics, 2020 Management Science Best Paper Published in Information Systems, 2016 ISS Sandra A. Slaughter Early Career Award, 2016 Information Systems Research, Best Associate Editor, 2017 Teaching and Advising: Tambe teaches award-winning courses such as AI, Data, and Society and Analytics and the Digital Economy , emphasizing real-world applications and experiential learning. He is known for making complex technical concepts accessible and for fostering student engagement. While no formal advisees are listed, his influence is evident in student testimonials praising his mentorship and teaching excellence. Labs and Research Initiatives: As Faculty Co-Director of Wharton Human-AI Research, he leads interdisciplinary efforts to study how AI can be integrated into organizations in ways that enhance human potential, promote equity, and improve decision-making. His work often involves collaboration with data scientists, economists, and policy experts.

• Economics of IT Labor
• Technological Change and Reskilling
• Algorithms and AI in HR and Management
• +7 more

Arun Sundararajan is the Harold Price Professor of Entrepreneurship and Professor of Technology, Operations, and Statistics at New York University's Leonard N. Stern School of Business. He serves as Director of the Fubon Center for Technology, Business and Innovation and is affiliated with interdisciplinary research centers including the NYU Center for Data Science. Harold Price Professor of Entrepreneurship, NYU Stern Professor of Technology, Operations and Statistics, NYU Stern Director, Fubon Center for Technology, Business and Innovation Affiliated Faculty, NYU Center for Data Science His academic background includes a Ph.D. in Business Administration and an M.S. in Management Science from the University of Rochester, and a B.Tech. in Electrical Engineering from IIT Madras. Sundararajan's research focuses on artificial intelligence, the sharing economy, platform strategy, digital economics, and the future of work. He is a leading expert on network effects, AI governance, intellectual property in the age of generative AI, and antitrust policy for digital platforms. His influential book The Sharing Economy (MIT Press, 2016) has been widely translated and acclaimed. The 15 most recent publications highlight his deep engagement with generative AI, digital platform regulation, intellectual property, the future of work, and AI ethics. His work spans interdisciplinary themes connecting technology, law, economics, and societal impacts, reflecting a consistent focus on how digital innovation transforms markets and institutions. His scholarly contributions have been recognized with: Nine Best Paper awards Two Google Faculty Research Awards Axiom Best Business Books Award Thinkers50 Radar Thinker Award Sundararajan advises governments, international organizations (including the U.S. Congress, European Parliament, United Nations, and World Economic Forum), and major corporations on digital economy policy. He has provided expert testimony to federal agencies and legislative bodies and is a frequent media commentator. He teaches courses on AI, digital economics, fintech, and entrepreneurship to undergraduate, MBA, and doctoral students, and leads executive education programs globally. He is also an occasional angel investor and advisor to startups and innovation hubs. He leads the Fubon Center for Technology, Business and Innovation, fostering interdisciplinary research on digital transformation. He collaborates with research teams across NYU and advises global organizations on AI strategy and digital foresight.

• Artificial Intelligence
• Generative AI
• Platform Strategy
• +9 more

Prasanna Tambe is a Professor of Operations, Information and Decisions at The Wharton School of the University of Pennsylvania, where he also serves as Faculty Co-Director of Wharton Human-AI Research. His research focuses on the economics of technology and labor, particularly examining how AI and data science transform HR applications and high-tech labor markets. With publications in top journals like Management Science and Information Systems Research, Professor Tambe's work has significantly influenced understanding of IT labor economics and AI's impact on workforce dynamics. Professor Tambe earned his S.B. and M.Eng. in Electrical Engineering and Computer Science from MIT before completing his Ph.D. in Managerial Science and Applied Economics at Wharton. His academic journey includes nearly a decade at NYU Stern School of Business prior to joining Wharton in 2017. Professor Tambe's research spans three interconnected domains. First, he investigates the economics of IT labor markets, studying competition for software developers and how technological shifts affect employment outcomes. Second, he examines AI's impact on work, skills, and organizational competition. Third, he analyzes how algorithms transform HR functions from hiring to retention. His methodology often leverages Internet-scale data from job sites and career platforms to measure labor market activity with unprecedented granularity. Recent work explores gender wage gaps in emerging technology adoption, remote work's impact on applicant diversity, and auditing large language models for hiring bias. Analysis of Professor Tambe's recent publications reveals a clear trajectory toward examining AI's societal and workplace implications. His work increasingly focuses on generative AI's transformative potential, algorithmic fairness in hiring, and reskilling challenges. While maintaining rigorous economic analysis of labor markets, his research has evolved to address pressing issues of diversity, equity, and inclusion in technology sectors. The interdisciplinary nature of his work bridges information systems, labor economics, and organizational behavior. Poets & Quants Best Undergraduate Professors, 2020 Best Published Paper in Information Systems Research Two papers nominated for Best Published IS Paper in Management Science Best Student Paper, INFORMS Conference on Information Systems and Technology, 2020 Best Student Paper, Workshop on Information Systems and Economics, 2020 Management Science Best Paper Published in Information Systems, 2016 Information Systems Research, Best Associate Editor, 2017 ISS Sandra A. Slaughter Early Career Award, 2016 Professor Tambe serves on the editorial board of Management Science and previously served on Information Systems Research's board. His research has been supported by the Alfred P. Sloan Foundation. In the classroom, he teaches award-winning courses including "AI, Business, and Society," where students engage with hands-on labs to understand AI implementation challenges. Student testimonials consistently praise his ability to make complex technical concepts accessible and relevant to real-world business challenges. As Faculty Co-Director of Wharton Human-AI Research, Professor Tambe leads initiatives examining how organizations can effectively integrate AI while addressing ethical and operational challenges. His work with the Wharton AI research center informs executive education programs on business model innovation in the age of AI and strategies for accountable AI implementation.

• Economics of IT labor
• Technological change
• Labor markets
• +7 more