BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250707T143716EDT-8191z5W7ZU@132.216.98.100 DTSTAMP:20250707T183716Z 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\, ɫTV\n\nC laire Boone is an assistant professor at ɫTV 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