His research builds broadly on advances in the fields of labor economics, sociology, computational social science, network science, data science, political science, and complex systems.
Morgan is assistant professor in the Department of Informatics and Networked Systems and the Department of Information Culture and Data Stewardship in the School of Computing and Information at the University of Pittsburgh.
He is also an MIT Connection Science Fellow and digital fellow at the Stanford Institute for Human-Centered Artificial Intelligence. Morgan also serves as researcher at the Massachusetts General Hospital Center for Genomic Medicine and a research affiliate at the Institute for Cyber Law, Policy, and Security at the University of Pittsburgh.
Renée is an expert on the intersection between behavioral science and technology, and the implications for cognitive bias in human decision-making. She is a leading thinker on the science of digital brand strategy and her research and expertise have been published in various academic and trade publications.
Renée’s research examines how social structure and technology (e.g., Digital Customer Experience, Status, Social Media) affect performance and self-perception (as featured in her TEDx talk, “The Outsourced Mind”). Her projects have examined how cognitive style predicts preference for AI versus human input; the interaction of brand status and placebo effects in performance; how consumers determine real from fake products; the circumstances under which customers perceive value in platforms; and the effects of storytelling in social media on trust and persuasion.
Renée is a 2020 honoree on the Thinkers50 Radar List of thinkers who are “putting a dent in the universe,” and has been named one of the World’s Top 40 Professors under 40 by Poets and Quants.
Alvin Wang Graylin (汪丛青) is a globally recognized tech leader, author, investor, and serial entrepreneur with over 30 years of innovation across AI, XR, cybersecurity, and semiconductors. He currently serves as Chairman of the Virtual World Society, Vice-Chair of the Industry of VR Alliance, and is a Digital Fellow at Stanford’s Digital Economy Lab (within HAI). Previously, he was Global VP and China President at HTC, where he led the company’s XR business for nearly a decade.
Graylin is the author of Our Next Reality (Hachette Books), which explores how the convergence of AI and XR will transform the future of society. He has founded four venture-backed startups in conversational AI search, mobile social, mobile AR, and AI-driven big data analytics, spanning both the U.S. and China markets. As an active investor, he has backed over 100 startups and helped launch HTC’s ViveX Global VR accelerator and SOSV’s mobile internet incubator.
His career includes exec roles at Intel, IBM, Trend Micro, and WatchGuard. A sought-after global keynote speaker, Graylin is frequently featured in international media as a thought leader on AI, immersive computing, technology policy, entrepreneurship, and the Chinese tech landscape.
Graylin holds an M.S. in Computer Science specializing in AI from MIT, an M.S. in Business from MIT’s Sloan School of Management with emphasis on entrepreneurship and operations, and graduated top of his class with a B.S. in Electrical Engineering from the University of Washington, focusing on VR, AI, and CPU architecture. Fluent in English, Mandarin, and Cantonese, Graylin’s bicultural background, Eurasian heritage and cross-border leadership experience uniquely position him at the intersection of technology, business, and global impact.
Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible, and is an honorary professor at the University of Queensland. Previously, Jeremy was a Distinguished Research Scientist at the University of San Francisco, where he was the founding chair of the Wicklow Artificial Intelligence in Medical Research Initiative.
Jeremy was the founding CEO of Enlitic, which was the first company to apply deep learning to medicine, and was selected as one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open-source projects.
He has many media appearances, including writing for the Guardian, USA Today, and the Washington Post, appearing on ABC (Good Morning America), MSNBC (Joy Reid), CNN, Fox News, BBC, and was a regular guest on Australia’s highest-rated breakfast news program. His talk on TED.com, “The wonderful and terrifying implications of computers that can learn”, has over 2.5 million views. He is a co-founder of the global Masks4All movement.
Shan’s research focuses on the digital economy, social networks, and business analytics. Her current work investigates how new social media shapes the information environment and decision making that leads to non-negligible economic and social impacts. Specifically, her studies examine how social advertising and social referral affect product virality, how emotions shape online content diffusion, and how misinformation diffuses through weak ties in massive social networks.
Shan has a particular interest in understanding how certain phenomena vary across individuals, social ties, products, and markets, using population-scale datasets and large-scale field tests, and uses various research methodologies, including large-scale networked randomized field experiments, machine learning, and network analysis to pursue her research agenda.
Shan’s research has been published in prominent management journals, including Marketing Science and the Journal of Management Information Systems. She also collaborates with leading tech firms, such as Tencent, to understand cutting-edge digital phenomena and their implications for business and society.
She received a bachelor’s degree from Tsinghua University, a master’s degree from the University of British Columbia, and a Ph.D. from the MIT Sloan School of Management.
Xiang is deeply interested in understanding how efficiency and quality provision on such platforms could be enhanced through information design and platform strategies. He also examines the welfare impact of information technology and artificial intelligence in different fields.
Before joining WashU, Xiang was a postdoctoral associate at MIT Sloan Initiative on the Digital Economy. He received a Ph.D. in economics from Ohio State University.
Wang Jin is currently a research associate at the MIT Initiative on the Digital Economy and MIT Sloan School of Management. He was a former research fellow at IQSS Harvard University. Combining large-scale data from the Environmental Protection Agency and the Census,
Wang’s research concentrates on the impacts of information technology, structural management practices, and organizational structures on environmental performance and sustainability. He is also interested in identifying the effects of IT, management, and big data analytics on firms’ innovation capabilities.
Wang is currently involved in multiple Census projects, and has worked extensively within the U.S. Census Research Data Center, using business level confidential data protected under Title 13 and Title 26. He is also performing research on topics related to regulatory enforcement and firm compliance behavior.
Wang holds a Master’s degree in economics and recently received his PhD in economics from Clark University.
Anton is a Professor at the University of Virginia, Department of Economics and Darden School of Business as well as a Visiting Scholar at the Brookings Institution, a Senior Researcher at the Complexity Science Hub Vienna, a Research Associate at the NBER, a Research Fellow at the CEPR and the Economics of AI Lead at the Centre for the Governance of AI. He received his PhD from Columbia University in 2007 after several years of work experience in the IT and financial sectors. He has also worked at Johns Hopkins and at the University of Maryland and has been a visiting scholar at Harvard University, the World Bank, the IMF, the BIS and numerous central banks.
His research analyzes how to prepare for a world of transformative AI systems and has been featured in the New York Times, Washington Post, Wall Street Journal, the Economist, and TIME Magazine. He investigates the implications of advanced AI for economic growth, labor markets, inequality, and the future of our society. In his past research, he investigated the mechanics of financial crises and developed policy measures to prevent future crises, including an influential framework for capital flow regulation in emerging economies.
Sebastian is an assistant professor at the Stockholm School of Economics (House of Innovation) with an educational background in economics and management. He obtained his Ph.D. at the University of Geneva (Geneva School of Economics and Management) with his dissertation entitled “Artificial Intelligence in Organizations: Strategy and Decision Making in the Digital Age.” He has previously been a visiting researcher at Warwick Business School (Behavioural Science Group) and Stanford University (SCANCOR).
His research interests include digital transformation, organizational behavior, and strategy. Specifically, he explores how digital technologies like artificial intelligence impact organizational theory and applied strategy. His research uses varying methods and contexts to analyze how organizations create value through the adoption and development of digital technology, with a particular focus on the interaction between human beings and algorithms. He also explores societal and ethical aspects of digitalization. His research has been published in journals such as the Academy of Management Review and Strategic Management Journal.
Her research is empirically oriented, covering topics in market designs, digital platforms, and economics of digitization.
