エピソード

  • Democratizing AI Talent for Real-World Problem Solving

    Democratizing AI Talent for Real-World Problem Solving
    2025/12/06
    🎙️ Episode Title Democratizing AI Talent for Real-World Problem Solving --- 🧠 Episode Summary In this episode of The Innovation Forum AI Podcast, Oliver Morgan speaks with Celina Lee, CEO and Co-Founder of Zindi, the largest platform for data scientists and AI developers across Africa. Celina describes how Zindi connects a growing pool of young talent with real-world problems through artificial intelligence challenges in health, climate, food security, and development. She highlights Zindi’s unique model: organizations upload datasets and problem statements, thousands of data practitioners iterate on solutions, and leaders are identified through transparent evaluation and teamwork. Celina also shares how active engagement—completing profiles, joining teams, and finishing challenges—strongly boosts users’ career outcomes. Together, they explore how AI and community-driven learning can expand opportunities, strengthen public health systems, and close digital divides across the continent. --- 💬 Guest Celina Lee Celina Lee is the CEO and Co-Founder of Zindi, the leading platform for data scientists in Africa. She has dedicated her career to unlocking the power of data for social good, helping launch global initiatives such as the Alliance for Financial Inclusion and insight2impact. Her work spans financial inclusion, gender, SME development, climate, and public health, with hands-on experience across Asia, Latin America, and Sub-Saharan Africa. --- 🌐 Resources and References - Zindi’s website: https://zindi.africa/ - This report analyzed the career outcomes of over 8,000 Kenyan users on the Zindi platform, demonstrating how engagement on Zindi directly improves employability in data and AI fields:https://drive.google.com/file/d/1PTwAsj3QyyNjHi-Aw1pkNA2j8RhZjIGd/view - This challenge asked data scientists on Zindi to accurately predict the spread of COVID-19 around the world over some months:https://zindi.africa/competitions/predict-the-global-spread-of-covid-19https://zindi.africa/competitions/predict-the-global-spread-of-covid-19 - Participants built a machine learning model that can predict if kidneys are in renal failure from ultrasounds and to build a hub of data scientists and analysts in Cameroon:https://zindi.africa/competitions/cameroon-hackathon-2023 - In this challenge participants received 400 authentic clinical vignettes (nurse background + complex case) and had too predict the clinician’s response, mirroring trained clinical reasoning:https://zindi.africa/competitions/kenya-clinical-reasoning-challenge --- 🎵 Music Credits Intro and outro music from Podcastle Stock Audio. Track: ‘Nairobi Nights’. License code: NUHOREYJLVQL5K92. --- ⚠️ 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 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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    38 分
  • Making Sense of AI and the Opportunities for Public Health

    Making Sense of AI and the Opportunities for Public Health
    2025/10/24
    🎙️ 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 Spotify, Apple Podcasts, Youtube, and Amazon Music. You can find a written summary of this episode here: https://substack.com/@omorgan/posts 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 分
  • Public Health through the Lens of AI and Population Dynamics

    Public Health through the Lens of AI and Population Dynamics
    2025/11/08
    🎙️ 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 分
  • AI-Driven Behavioral Simulation for Better Public Health Decisions

    AI-Driven Behavioral Simulation for Better Public Health Decisions
    2025/11/24
    🎙️ 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 分