Natasha Ahmed is an advocate for digital youth safety and responsible online engagement. She began her career as a digital strategy consultant at Accenture before transitioning to policy development, where she served as a Youth Online Policy Advisor for the UK government and later at 5Rights Foundation, an NGO focused on child-centered design, data privacy, and children’s digital rights. Natasha then joined TikTok as a Youth Safety Public Policy expert within the Public Policy team, and later led the Youth Safety and Wellbeing Policy team, where she developed and implemented product policies to protect and empower young users online.

Natasha holds a Master’s degree in Gender and Development from the London School of Economics and is completing her post graduate degree in Human Development and Education, focusing on developmental psychology, at Harvard University.

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.

Chloe Autio is a technology policy expert with nearly a decade of experience advising organizations on AI policy and governance. Through her advisory practice (Autio Strategies), she consults for government and private companies at the forefront of AI policy and regulation including the National Institute of Standards and Technology (NIST), the Department of Defense, Fortune 50 AI companies including AI labs, startups, and trade associations.

Chloe started her work in technology policy at Intel Corp., where she led the company’s AI and emerging technology policy portfolio and the development of the enterprise Responsible AI program. She is an Adjunct AI Policy Advisor at the Institute for Security and Technology (IST) and a Faculty Lecturer at the Future of Privacy Forum (FPF), and serves on the board of Humane Intelligence. Her insights have been featured in Axios, Bloomberg, and other outlets. She holds an economics degree from UC Berkeley, where she studied a range of topics related to technology policy, data ethics, and the social implications of computing.

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.

Gordon Burtch is the Allen and Kelli Questrom Professor of Information Systems, Dean's Research Scholar, and Fellow of the Digital Business Institute at Boston University’s Questrom School of Business. His research focuses on the economic evaluation of information systems, employs empirical analyses rooted in econometrics and field experimentation to identify and quantify the drivers of individual participation in online social contexts. His work has been published in various leading journals, including Management Science, Information Systems Research, MIS Quarterly, Manufacturing & Service Operations Management, Organization Science, Production and Operations Management, the Journal of Law, Economics & Organization, and the Journal of Consumer Psychology.

He is a recipient of both the AIS Early Career Award (2017) and the INFORMS ISS Sandra A. Slaughter Early Career Award (2017), and the NFORMS ISR and ISS best paper award (2014).

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.

Glenn Ellingson is a technologist specializing in the safety of online platforms. Glenn has led teams at Facebook and Instagram working on digital literacy, voter suppression, civic harassment, and electoral & health misinformation through global events including the 2020 US election cycle and the first years of the covid pandemic. He is currently working on pro-democracy technology at the Civic Health Project, and is an active member of the Integrity Institute, a community of practitioners working in online trust and safety.

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.

Dokyun ”DK” Lee, is a Kelli Questrom Chair Associate Professor of Information Systems and Computing & Data Science School at Boston University. He studies the {responsible application, development, and impact} of AI in business with a focus on unstructured data. He founded Business Insights through Text Lab (www.dkBITLAB.com) (PI) and BU Digital Business Institute Generative AI Lab (Co-lead).

in the context of digital consumer management, platform design, market competition, advertising, human-ai collaboration, innovation, and creativity.

He is a recipient of INFORMS ISS Gordon B David Young Scholar, INFORMS ISS Sandy Slaughter Early Career, CDO Magazine Leading Academic Data Leader, and Marketing Science Insititute Young Scholar Awards. His research has been published in journals such as Management Science, Information Systems Research, MISQ, Journal of Marketing Research, AAAI, AIES, and WWW. His work is supported by organizations such as Adobe, Bosch Institute, Google, Marketing Science Institute, McKinsey & Co, Nvidia, Net Institute, and Prudential Foundation.

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.

Nathaniel Lubin has spent his career focused on digital strategy, technology, and politics. He is the founder of Incite Studio, the Better Internet Initiative, and Survey 160, a software product designed to source data for polling and research, and has advised more than 35 Fortune 100 corporations, major foundations and nonprofits, and startups. Nathaniel previously was the Director of the Office of Digital Strategy at the White House under President Obama and, before that served as Director of Digital Marketing at Obama for America, with a budget of more than $112 million. Originally from New York, Lubin is an honors graduate of Harvard University and an Affiliate/RSM Fellow at Harvard's Berkman Klein Center. He is an active angel investor and a contributing writer for the Atlantic.

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.

Emily Saltz (she/her) is a Senior UX Researcher at Google Jigsaw, working on tools for platforms and moderators to address online harms. Before that, she was a UX Researcher at the New York Times R&D Lab, conducting research on topics ranging from media credibility (the News Provenance Project), to NLP Q&A tools. She was a 2020 Fellow at the Partnership on AI, and hold s a Master’s in Human-Computer Interaction from Carnegie Mellon, and a BA in Linguistics from UC Santa Cruz.

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.

Jonathan D. Teubner is the founder and CEO of FilterLabs.AI, a data analytics company based in Cambridge, MA, and is research faculty at Harvard University’s Institute for Quantitative Social Science, where he directs the AI and Flourishing project within the Human Flourishing Program. Teubner has held faculty positions at the Australian Catholic University and at the University of Virginia, where he led a collaborative team of data scientists and scholars across the social sciences to create AI tools to predict political and social violence. Outside of academia, Teubner has served as director of Global Covenant Partners, an NGO focused on reducing and preventing religion-related violence in the Middle East and South Asia, and economist at Lehrman, Bell, Mueller and Canon in Washington, DC. Teubner insights and analysis have appeared in The New York Times, The Economist, and The Hill, and he is regularly interviewed by BBC, CNN, Scripps News and NBC Nightly News. Teubner graduate degrees from Yale (M.A.) and the University of Cambridge (Ph.D.) and has held fellowships at the Sorbonne in Paris and the Humboldt-Universität in Berlin.

Marshall Van Alstyne is one of the world’s foremost experts on network business models and coauthor of the international bestseller Platform Revolution. He conducts research on information economics, covering such topics as the economics of speech markets, platform economics, intellectual property, social effects of technology, and productivity effects of information. He has been a major contributor to the theory of two-sided networks taught worldwide, and to the theory of platforms as inverted firms applied in antitrust law. His work has received more than 27,000 citations, including a top 50 all-time article for Harvard Business Review, and was recognized by Thinkers 50 as among the most important management contributions globally. Research impact ranks in the top two percent of all scientists.

Honors include two patents, National Science Foundation SaTC, IOC, SGER, SBIR, iCorp and Career Awards, a dozen best paper awards, as well as INFORMS IS 2020, and Herbert Simon 2021 awards for research with real world impact. Articles or commentary have appeared in Science, Nature, Management Science, Harvard Business Review, Sloan Management Review, Strategic Management Journal, the New York Times, and the Wall Street Journal. He is a husband and dad, who loves dogs, exercise, travel, and questions of governance.