Jennifer Allen is currently a post-doctoral researcher at the University of Pennsylvania in the Computational Social Science Lab. In 2025, she will join NYU Stern as an Assistant Professor of Technology, Operations and Statistics. She holds a PhD in Marketing from MIT Sloan School of Management, supervised by David Rand. Her work focuses on digital persuasion, misinformation, and the wisdom of crowds.

Guy Aridor is an Assistant Professor of Marketing at Northwestern Kellogg School of Management and a research affiliate at CESifo. His research employs tools from economics and quantitative marketing to investigate policy and antitrust issues in the digital economy, as well as the effects of new technologies on consumer behavior. He has a particular interest in consumer privacy, recommendation systems, and social media platforms. He holds a PhD in economics from Columbia University and a BA in pure/applied mathematics, computer science, and economics from Boston University.

Sudeep Bhatia is an Associate Professor of Psychology at the University of Pennsylvania. He uses computational modeling, behavioral experiments, and large-scale digital data, to study how people think and decide. For the past decade, his research has focused on integrating psychological theory with advances in natural language processing and artificial intelligence, to build accurate models of human cognition and behavior.

Tara Behrend is the John R Butler II Professor of Human Resources and Labor Relations at Michigan State University, and Director of the MSU Future of Work Initiative. She is an organizational psychologist whose work focuses on the psychological effects of emerging workplace technologies, including topics such as digital surveillance, virtual reality for training, and AI feedback. She is Past-President of the Society for Industrial and Organizational Psychology, and serves on the National Academies Board on Human-Systems Integration.

Dr. Madeleine I. G. Daepp is a senior researcher at Microsoft Research, where she studies the collaborative deployment of novel technologies in shared public spaces. Through her research, she seeks to bridge the divides between the needs of civil society organizations and the promise of novel technologies and big data. She holds a Ph.D. from the Massachusetts Institute of Technology, a M.Sc. from the University of British Columbia, and a B.A. from Washington University in St. Louis.

Kurt Gray is Professor of Psychology at the University of North Carolina, where he directs the Deepest Beliefs Lab, which studies the psychology of morality, religion, politics, and AI. He also leads the Center for the Science of Moral Understanding, which explores new ways to reduce polarization. Next year he will be moving to Ohio State University. He is the author of the forthcoming book Outraged: Why we Fight about Morality and Politics, and How to Find Common Ground.

Chien-Ju Ho is an assistant professor in Computer Science & Engineering at Washington University in St. Louis. Previously, he was a postdoctoral associate at Cornell University. He earned his PhD in Computer Science from the University of California, Los Angeles in 2015 and spent three years visiting the EconCS group at Harvard from 2012 to 2015. He is the recipient of the Google Outstanding Graduate Research Award at UCLA in 2015. His work was nominated for Best Paper Award at WWW 2015 and HCOMP 2021. His research broadly connects to the fields of machine learning, optimization, behavioral sciences, and algorithmic economics. He is interested in investigating the interactions between humans and AI, including enabling AI algorithms to learn from humans (e.g., in the context of crowdsourcing) and designing AI algorithms to assist human decision-making (e.g., through information design and environment design).

Madhav Kumar is a Post Doctoral Associate at the MIT Initiative on the Digital Economy. His research addresses fundamental marketing problems in online platforms such as pricing, recommendations, and targeting. He is also the Head of Research at Catalan.ai where he designs and deploys pricing algorithms.

Andrea Liebman is the Head of The Digital Hub at The Swedish Psychological Defence Agency (MPF). Her work focuses on the intersection of social media, AI, new technologies, strategic communications, and malign information influence. Before joining MPF, she was the Head of Communications at the Swedish Institute of International Affairs. In addition, Mrs. Liebman has advised international organizations like the United Nations and the International Institute for Democracy and Electoral Assistance in digital strategies and strategic communications. She holds two master's degrees, in journalism and international relations.

Carey K. Morewedge is a Professor of Marketing and Everett W. Lord Distinguished Faculty Scholar in the Questrom School of Business at Boston University. His research examines the psychology of judgment and decision making and how to improve it. The substantive focus of his work explores psychological determinants of value and how they influence the perception of money, goods, and new technologies (e.g., digital goods, algorithms, and artificial intelligence). Professor Morewedge has published more than 70 articles and chapters in journals, including Science, Trends in Cognitive Sciences, Psychological Science, Nature Human Behavior, Nature Medicine, Journal of Consumer Research, Journal of Marketing Research, Management Science, Journal of Experimental Psychology: General, and the Journal of Personality and Social Psychology. His popular writing has appeared in outlets including The New York Times, Time Magazine, Forbes, and Harvard Business Review. The United States Government uses interventions Professor Morewedge developed to reduce cognitive bias in intelligence analysis and management. Professor Morewedge has received more than $2.4 million in external research funding and awards for his work, including the 2022 Best Paper award from the Journal of Consumer Research, the 2010 Wegner Theoretical Innovation Prize from the Society for Personality and Social Psychology, recognition as an inaugural Scholar of the Marketing Science Institute, an Idea of the Year award from The New York Times, and inclusion in Poets and Quant's Top 40 under 40 Business School Professors.

Paul Stillman is an Assistant Professor in Marketing at Boston University’s Questrom School of Business. His research seeks to understand how best to motivate consumers to engage with their long-term goals rather than succumbing to immediate gratification. To this end, he (1) develops novel theoretical models of self-control and motivation, and (2) translates insights from these models into actionable tools for marketers and consumers. This includes investigating what effectively motivates abstinence from unhealthy choices, developing computational models of motivation to understand how to promote engagement, and developing more nuanced accounts of self-control. Underlying much of his research is the use and development of complex statistical and computational tools (e.g., dynamic approaches to studying choice, generative network models, and machine learning/AI tools), which allow him to provide new insights into old questions. Overall, he aims to empower consumers to reach their goals efficiently and sustainably.