Barbara Fasolo

Dr Barbara Fasolo's electrifying and dynamic presentation style transforms rigorous decision-making theories into actionable insights for better decision outcomes. In her speaking engagements around the world, audiences experience interactive demonstrations of the traps our human mind falls prey to when we decide in the presence of risk, uncertainty, pressure, and information overload. For each trap, she offers culturally appropriate solutions and the confidence for facing the most important, and often difficult, decisions.  

Tailored workshops include experiential sessions where these solutions are tested in the live decisions of the participants, with the help of cutting-edge tools for improving human decision-making tools, including the Decision Canvas - a structured approach that Barbara created with Dr Umar Taj and includes debiasing, choice architecture, and appropriate use of AI and online tools.  

A "rock star speaker" (as defined by one of her latest public speaking events in Abu Dhabi at BX2025), Barbara helps you understand how to spot cognitive biases in conversations, and how to address them immediately, with the most suitable tools, knowledge and confidence.  

Dr Barbara Fasolo is Founder and Director of the LSE Behavioural Lab and Associate Professor of Behavioural Science at the LSE Department of Management. She researches how to improve judgments and decision-making processes of individuals, teams, organisations and Governments.  

She has published more than 60 papers and chapters and co-authored a book on online decision making. Barbara has served in the Editorial Board of leading journals in economics and psychology (e.g. Perspectives on Psychological Science, guest editor for Proceedings of the National Academy of Science (PNAS) and Journal of Economic Psychology. She served in multiple boards of professional societies of decision-making and was expert in secondment for three years at the European Medicines Agency, to improve risk-benefit judgments and drug approval decisions.