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AI-Driven Behavioral Simulation for Better Public Health Decisions

AI-Driven Behavioral Simulation for Better Public Health Decisions

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🎙️ Episode Title AI-Driven Behavioral Simulation for Better Public Health Decisions --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Dr. Serina Chang, Assistant Professor at UC Berkeley, whose work blends AI, human behavior, and public health. Serina explains how mobility data, search logs, and generative AI can uncover how people actually behave during pandemics—revealing hidden patterns, disparities, and responses to policy. Her research spans mobility-based models of COVID-19, real-time vaccine intent estimation, and LLM-powered simulations that help public health teams test interventions before deploying them. Together, they explore how AI-enabled behavior modeling can support more precise, adaptive, and equitable decision-making during future health crises. --- 💬 Guest Dr. Serina Chang Serina is an Assistant Professor at UC Berkeley (Computer Science & Computational Precision Health). Serina’s research focuses on simulating and inferring human behavior using AI—ranging from mobility networks and search data to generative models of survey responses. Her influential work during COVID-19 has shaped public health decision-making and earned recognition including the ACM SIGKDD Dissertation Award, KDD Best Paper Award, and Google Research Scholar Award. --- 🌐 Resources and References - Mobility Network Models of COVID-19: https://www.nature.com/articles/s41586-020-2923-3 - Measuring vaccination coverage and concerns of vaccine holdouts from web search logs: https://www.nature.com/articles/s41467-024-50614-4 - Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks: https://ojs.aaai.org/index.php/AAAI/article/view/26657 - Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions: https://aclanthology.org/2025.acl-long.1028/ - LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily: https://ojs.aaai.org/index.php/ICWSM/article/view/35820 - Dashboard for Virginia’s department of Health created for reopening during COVID-19: https://dl.acm.org/doi/10.1145/3447548.3467182 --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. License code: 4S9SQLITXMAEJTNG. --- ⚠️ Disclaimer This podcast is produced by the World Health Organization (WHO) as part of the Pandemic and Epidemic Intelligence Innovation Forum initiative. The views expressed by guests are their own and don’t necessarily represent those of WHO or its affiliates. Guest affiliations have been disclosed for transparency purposes. Content is intended solely for information purposes and not as professional medical advice. Listeners are advised to consult qualified professionals for specific questions. All personal data collected for feedback is handled in accordance with WHO standards. --- 📲 Listen and Subscribe The Innovation Forum AI Podcast is available on Youtube, Spotify, Apple Podcasts, and Amazon Music. You can find a written summary of this episode here: https://substack.com/@omorgan? Be sure to follow, rate, and share to help us reach more public health professionals exploring the future of AI.
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