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Forecasting Impact
Forecasting Impact is a monthly podcast that aims to disseminate the science and practice of forecasting alongside prominent academics and practitioners in the field. Our vision is to grow the forecasting community, foster collaboration between academia and industry, and promote scientific forecasting and good practice. We’ll discuss a variety of topics in economics, supply chain, energy, AI, data analytics, healthcare, and more.
Podcast Team: Dr. Mahdi Abolghasemi, Dr. Sevvandi Kandanaarachchi, Michał Chojnowski, Dr Laila Akhlaghi, George Boretos, Mariana Menchero, Dr. Faranak Golestaneh, Arian Sultan Khan.
Future guests: if you have something interesting on forecasting to share with our audiences, please send an email to forecastingimpact@gmail.com
Episodes
Healthcare Product Forecasting in Africa
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Solar Forecasting with Prof. Jan Kleissl
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Forecasting in Healthcare with Hema Srinivasan
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Panel on Foundational Models with Azul Garza Ramírez and Mononito Goswami- Part 2
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Panel on Foundational Models with Azul Garza Ramírez and Mononito Goswami - Part 1
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Kai Markus Mueller on Neuroscience with Forecasting & AI
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Mitchell O'Hara-Wild on open source forecasting and R
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Joannes Vermorel on Quantitative Supply Chain
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Laurent Ferrara, on Nowcasting and Economic Forecasting
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Eric Siegel, on Mastering the rare art of machine learning deployment
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Michele Trovero and Spiros Potamitis, on Software and Large Language Models in Forecasting
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Martie-Louise Verreynne, on Innovation & University-Industry Collaboration
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David Schmitt, on Transportation Forecasting
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Stephan Kolassa, Bahman Rostami-Tabar, and Enno Siemsen
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Priyanga Dilini Talagala and Thiyanga Talagala
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George Athanasopoulos - President of International Institute of Forecasters
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Forecasting Software Panel
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Eric Siegel on Predictive Analytics Role
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Scott Cunningham, on Technological Forecasting and Social Change
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Tao Hong, on Energy Forecasting
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Galit Shmueli, on causal inference, behavioural modifications, and role of ethics.
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Ataman Ozyildirim, on the business cycle and leading economic indicators
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Nikos Kourentzes, on business, AI, and hierarchical forecasting
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