Kevin Werbach is a prominent professor of Legal Studies and Business Ethics at the Wharton School, University of Pennsylvania, recognized for his expertise in the business, legal, and social implications of emerging technologies such as broadband, big data, and blockchain. With over two decades of experience at the intersection of the Internet, digital media, and communications, he has made significant contributions to technology policy. Werbach served on the Obama Administration’s Presidential Transition Team and was instrumental in shaping U.S. internet policy during the Clinton Administration as Counsel for New Technology Policy at the Federal Communications Commission. He founded the Supernova Group, a technology consulting firm that organizes high-level technology conferences. Additionally, he created one of the most successful massive open online courses, attracting nearly half a million enrollments. His publications include influential books such as The Blockchain and the New Architecture of Trust and For the Win: How Game Thinking Can Revolutionize Your Business. He has also edited the notable technology newsletter Release 1.0. In recognition of his teaching excellence, Werbach was named Wharton's first-ever Iron Prof in 2010. Follow him on Twitter @kwerb for insights on technology and policy.

Kartik Hosanagar is a distinguished Professor at The Wharton School of the University of Pennsylvania, where he specializes in the digital economy, focusing on internet media, marketing, and e-commerce. Recognized as one of the world's top 40 business professors under 40, he has received multiple teaching awards, including the MBA and Undergraduate Excellence in Teaching awards at Wharton. His research contributions have earned accolades such as the best paper award at the Consortium on Technology Policy and Management.In addition to his academic achievements, Kartik is a co-founder of Yodle Inc., a venture-backed company recognized among the top 50 fastest-growing private firms in the U.S. He has served on advisory boards for various startups and has consulted for major corporations like Google, Nokia, and American Express. Kartik holds a Bachelor's degree in Electronics and a Master's in Information Systems from Birla Institute of Technology and Sciences (BITS, Pilani), India, along with an MPhil and PhD in Management Science and Information Systems from Carnegie Mellon University.At Wharton, he teaches several courses that bridge technology and entrepreneurship, including "AI Applications in Marketing and Finance," "Entrepreneurship 1: Developing the Opportunity," and "Wharton Entrepreneurship Capstone." Through these courses, Kartik equips students with the knowledge and skills necessary to navigate the complexities of modern business landscapes.

Prasanna (Sonny) Tambe is an associate professor of Operations, Information and Decisions at the Wharton School of the University of Pennsylvania. His research focuses on the use of data science and AI for HR applications and on the economics of labor markets for high-tech workers. His research has been published or is forthcoming in a number of academic journals including Management Science, Information Systems Research, MIS Quarterly, The Review of Financial Studies, Industrial and Labor Relations Review, Communications of the ACM,, and Information Economics and Policy. His research has also won a number of awards, including the Best Published Paper in Information Systems Research and the Best Published IS Paper in Management Science. He currently serves on the editorial board of Management Science and was previously on the editorial board of Information Systems Research. Professor Tambe received his SB and MEng in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT) and his PhD in managerial science and applied economics from Wharton.

Lynn Wu is an associate professor (with tenure) at the Wharton School. She teaches MBA, undergraduate and PhD classes about the use and impact of emerging technologies on business. Her research examines how emerging information technologies, such as artificial intelligence and analytics, affect innovation, business strategy, and productivity. Specifically, her work follows three streams. In the first stream, she examines how data analytics and artificial intelligence affect firm innovation, business strategy, labor demand, and productivity for both large firms and startups. In her second stream, she studies enterprise social media and information derived from online platforms affect individuals’ work performance, career trajectories, entrepreneurship, and examine new type of biases that arise from using technologies. In her third stream of research, Lynn leverages fine-grained nanodata available through online digital traces to predict economic indicators such as real estate trends, labor trends and product adoption. Lynn has published articles in economics, management and computer science. Her work has been featured by the Wall Street Journal, Businessweek, New York Times, Forbes, and The Economist. Lynn received her undergraduate degrees from MIT (Finance and Computer Science), her master’s degree from MIT (Computer Science) and her Ph.D. from MIT Sloan School of Management (Management Science). Lynn has experiences working with a variety of firms in the technology industry (e.g. IBM, SAP, Google, Facebook etc), government agencies and think tanks (e.g the World Bank, the Russel Sage Foundation). She has also consulted and advised several startups. Prior to academia, she was a software engineer and a research scientist at MIT AI lab and IBM.