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The Innovation Forum AI Podcast

The Innovation Forum AI Podcast

Von: Oliver Morgan
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 The Innovation Forum AI Podcast explores how artificial intelligence is transforming public health — from early detection of outbreaks to effective health communication and smarter response strategies. Grounded in real-world practice, we highlight opportunities and challenges that matter for global preparedness. A podcast for public health professionals — from policymakers to technical specialists — who want to explore how AI tools can be applied to real-world public health challenges. Oliver Morgan is a Global Health Executive with over 25 years of experience in pandemic preparedness and response and strategic innovation. He has experience across a range of high-stakes global public health situations at country, regional, and global levels with the World Health Organization and the US Centers for Disease Control and Prevention. Oliver has led work on pandemic preparedness, global health leadership, and innovation for surveillance systems, analytics, and public health decision-making. As an executive coach, he supports senior leaders in navigating complex environments and developing leadership for impact. Hygiene & gesundes Leben Wissenschaft
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  • Making Sense of AI and the Opportunities for Public Health

    Making Sense of AI and the Opportunities for Public Health
    Oct 24 2025
    🎙️ Episode Title Making Sense of AI and the Opportunities for Public Health --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Dr. Kene David Nwosu, Epidemiologist and Data Scientist at the University of Geneva’s Institute for Global Health and co-founder of The Graph Courses, a non-profit initiative teaching AI and data science for health professionals. Together, they unpack how artificial intelligence is transforming public health — from predicting disease risk to summarizing clinical notes — and what skills practitioners need to engage with these technologies responsibly. The conversation explores data quality, ethics, and privacy challenges, while offering a hopeful vision of how AI can enhance, rather than replace, the vital role of humans in improving global health outcomes. --- 💬 Guest Dr. Kene David Nwosu Kene David Nwosu is an epidemiologist and data scientist at the University of Geneva’s Institute of Global Health. His work spans HIV cohort analyses in Nigeria and public-facing analytics for COVID-19 and influenza in Switzerland. He is also co-founder of The Graph Courses, a nonprofit education platform providing accessible training in data science and AI for the health and life sciences, where he leads an international team creating open learning resources for over 5,000 learners. --- 🌐 Resources and References - The GRAPH Courses: https://thegraphcourses.org/ - CDC AI use case inventory: https://www.hhs.gov/programs/topic-sites/ai/use-cases/index.html - WHO Guidance on AI use: https://www.who.int/publications/i/item/9789240084759 - Machine learning for HIV status prediction: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0264429 --- 🎵 Music Credits Intro and outro music from **Podcastle Stock Audio.** Track: ‘Nairobi Nights’. --- ⚠️ Disclaimer This podcast is produced by the World Health Organization (WHO) as part of the Pandemic and Epidemic Intelligence Innovation Forum initiative: https://pandemichub.who.int/news-room/innovation-forum. 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 Apple Podcasts, Youtube, 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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    44 Min.
  • Public Health through the Lens of AI and Population Dynamics

    Public Health through the Lens of AI and Population Dynamics
    Nov 8 2025
    🎙️ Episode Title Public Health through the Lens of AI and Population Dynamics --- 🧠 Episode Summary In this episode of *The Innovation Forum AI Podcast*, Oliver Morgan speaks with Gautam Prasad, Software Engineer at Google Research, whose work focuses on geospatial machine learning and the Population Dynamics Foundation Model — a new AI framework designed to fill data gaps and improve population-level health insights. Together, they explore how geospatial AI is transforming the way we understand and predict health risks — from mapping asthma and diabetes prevalence to forecasting dengue and cholera outbreaks. The conversation unpacks the science behind foundation models, explains how they can enhance epidemic intelligence systems, and reflects on what this means for global health equity, accessibility, and collaboration. --- 💬 Guest Dr. Gautam Prasad Gautam Prasad is a Software Engineer at Google Research, where he works on geospatial machine learning and foundation models such as the *Population Dynamics Foundation Model*. His research focuses on applying AI to understand population dynamics and support public health, socioeconomic, and environmental decision-making. Before joining Google, he worked on computer vision and brain connectivity modeling in health and disease using MRI and machine learning. --- 🌐 Resources and References - Earth AI: https://ai.google/earth-ai/ - Contact the PDFM team at pdfm-embeddings@google.com - Insights into population dynamics: A foundation model for geospatial inference: https://research.google/blog/insights-into-population-dynamics-a-foundation-model-for-geospatial-inference/ - Population Dynamics - GitHub: https://github.com/google-research/population-dynamics --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. --- ⚠️ 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, 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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    39 Min.
  • AI-Driven Behavioral Simulation for Better Public Health Decisions

    AI-Driven Behavioral Simulation for Better Public Health Decisions
    Nov 24 2025
    🎙️ 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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    53 Min.
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