BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20251105T140820EST-9101SGBDtf@132.216.98.100 DTSTAMP:20251105T190820Z DESCRIPTION:Register Here\n\nWhy do people make the health decisions they d o? How can we better understand and influence behaviors in health care? Th is session will explore how natural experiments—real-world scenarios where policies\, incentives\, or circumstances change unexpectedly—help researc hers uncover insights into health behaviors. Using tools from behavioral s cience\, economics\, and machine learning\, we’ll discuss how factors like cognitive biases\, financial incentives\, and AI-driven interventions sha pe decisions in primary and emergency care. Learn how these findings can i nform better policies and improve patient outcomes.\n\n\nItinerary\n\n12:0 0pm - 12:05pm | Welcome and introductions\n\n12:05pm - 12:45pm | Lunch&Lea rn presentation\n\n12:45pm - 12:55pm | Moderated Q&A session\n\n12:55pm - 13:00pm | Closing and upcoming sessions\n\nLocation\n\nThis is an online w ebinar hosted on Zoom. To receive details to enter the event\, please regi ster.\n\n\nFeatured Speaker\n\nClaire Boone\, PhD\n\n\n\n\n\nAssistant Pro fessor\, Economics and Equity\, Ethics and Policy\, ɬ﷬\n\nC laire Boone is an assistant professor at ɬ﷬ in the Departme nt of Economics and the Department of Equity\, Ethics and Policy. She is a health economist who studies health and health care decisions using quasi -experimental methods\, machine learning\, and behavioral science. Her cur rent research examines how behavioral biases affect decisions in primary h ealth care\, how we can use AI to improve decisions in emergency departmen ts\, and the consequences of value-based payment models. Before joining Mc Gill in fall 2024 she completed a PhD at the University of California Berk eley\, a post-doc at the University of Chicago\, and worked as a clinical research scientist at the Providence health system.\n\n\nSuggested Reading s\n\n1. Khullar D\, Jena AB. “Natural Experiments” in Health Care Research . JAMA Health Forum. 2021\;2(6):e210290. doi:10.1001/jamahealthforum.2021. 0290\n\n2. Tadeja Gracner et al\,​​​​​​. 'Exposure to sugar rationing in t he first 1000 days of life protected against chronic disease.'Science'386\ ,1043-1048(2024).DOI:10.1126/science.adn5421\n\n3. 'Being Sugar-Deprived H ad Major Effects on These Children's Health'\, NewYorkTimes\, https://www. nytimes.com/2024/10/31/health/sugar-rationing-britain-health... \n\n\nWhat are Lunch&Learn's?\n\nThe CAnD3 Lunch&Learn series is designed to introdu ce our Fellows\, team members\, and partners to emerging research on topic s related to population dynamics and population aging. These modules will cover the  Four CAnD3 Population Aging Axes: (1) family and social inclusi on\; (2) education\, labour and inequality\; (3) migration and ethnicity\; and (4) wellbeing and autonomy.\n\n\nCAnD3 Newsletters\n\nSign up for our newsletter to keep up to date with CAnD3 events.\n DTSTART:20250409T160000Z DTEND:20250409T170000Z SUMMARY:Lunch&Learn: Understanding Health Behaviors using Natural Experimen ts URL:/cand3/channels/event/lunchlearn-understanding-hea lth-behaviors-using-natural-experiments-364232 END:VEVENT END:VCALENDAR