Forecasting Impact

Forecasting Impact

Forecasting Impact is a bimonthly podcast that aims to disseminate the science and practice of forecasting by introducing prominent academics, practitioners, and visionaries in the forecasting domain. Our vision is to help grow the forecasting community, foster collaboration between academia, industry, and governments, and promote scientific forecasting and good practices.We will discuss a range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more. Forecasting Impact episodes are also available on the IIF YouTube Channel @IIForecasters. Podcast TeamChair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI. Additional co-hosts:  Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,George Boretos, Founder & CEO at FutureUP,Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,Mariana Menchero, Senior Forecaster at Nixtla, and Arian Sultan Khan, Data Analyst at VANCo-hosts in the past have included: Michał Chojnowski, Shari De Baets, Elaine Deschamps, Dr. Sevvandi Kandanaarachchi, Bahman Rostami-Tabar, Anna Sroginis, and Sarah Van der Auweraer. We welcome your feedback, questions, and suggestions. Please contact us at  forecastingimpact@forecasters.org

  1. ١٩ فبراير

    Prediction Markets with Alex McCullough

    In this episode of Forecasting Impact, hosts Mariana Menchero and Laila Akhlaghi speak with Alex McCullough about his research on prediction markets, probabilistic forecasting, and the crypto ecosystem. He is best known for his work analyzing the accuracy of Polymarket, where he has built widely referenced dashboards to evaluate market calibration and performance. Through his analysis, Alex helps bring rigor and transparency to the discussion around how prediction markets perform as forecasting tools. Alex's work includes the following dashboards:  Initial dashboard: https://dune.com/alexmccullough/how-accurate-is-polymarket And the widely referenced Brier Score dashboard: https://dune.com/alexmccullough/polymarket-brier-score

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  2. Explainable Forecasting with Marco Peixeiro

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    Explainable Forecasting with Marco Peixeiro

    In this episode of Forecasting Impact, hosts Mahdi Abolghasemi and Mariana Menchero speak with Marco Peixeiro, applied data scientist at Nixtla, about the growing importance of explainability in time series forecasting. Marco shares how his work bridges research and practice, from developing deep learning models in NeuralForecast to writing educational resources that make complex forecasting concepts accessible to all. We discuss how explainability builds trust in complex models, the role of SHAP values in understanding forecasts, and what the future holds for interpretability in forecasting. Marco also gives us a preview of his upcoming book, Time Series Forecasting Using Foundation Models, exploring how foundation models are transforming the forecasting landscape. Marco’s books, including the upcoming Time Series Forecasting Using Foundations Models: https://www.manning.com/authors/marco-peixeiro

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  3. Forecasting the future of everything with Dr. Theodore Modis

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    Forecasting the future of everything with Dr. Theodore Modis

    In this episode of Forecasting Impact, host George Boretos speaks with Dr. Theodore Modis, acclaimed forecasting expert, strategist, and founder of Growth Dynamics, about the science behind forecasting and the natural laws that govern technological and societal change. From particle physics at CERN to pioneering the use of S-curves in business and technology forecasting, Dr. Modis reveals how principles from physics can reveal powerful insights into product life cycles, market disruptions, and even the future of humankind. Whether you're a strategist, data scientist, or just forecasting-curious, this episode offers deep insight into the future, backed by science. Listen now to discover how forecasting isn't just math but also intuition and foresight combined! A slide deck of the visuals used in this conversation can be accessed here.

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  4. Food Bank Forecasting with Professor Lauren B. Davis

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    Food Bank Forecasting with Professor Lauren B. Davis

    This episode of Forecasting Impact features Professor Lauren B. Davis discussing her research on applying stochastic modeling and forecasting to food bank operations. Lauren shares how she began forecasting with a local food bank, which led her to focus on forecasting the highly uncertain supply of food donations. She details the food banks' donation sourcing process, the management of their supply chains, and the application of models like exponential smoothing, support vector regression, and ensemble methods to predict donation volumes. Professor Davis addresses challenges in forecasting at various aggregation levels (network vs. location-specific), using optimization models for equitable allocation of limited supply, and the significance of storage and agency capacity limits. She emphasizes the importance of equity as an objective, the complexity of modeling true demand, and the crucial role of visual analytics and co-design with food bank partners. The episode underscores the practical impact of forecasting in humanitarian supply chains and the necessity of linking models with operational decisions.

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  5. MLOps and Dockerisation in Forecasting with Rami Krispin

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    MLOps and Dockerisation in Forecasting with Rami Krispin

    In this episode, we sit down with Rami Krispin, a data scientist at Apple and active producer in forecasting, to explore his journey into forecasting and data science. He shares what first sparked his interest in the field and how that passion led him to develop key contributions, including the Hands-On Time Series Analysis with R book and the TSstudio package. We discuss his motivation for writing the book, who it’s for, and how TSstudio and other R packages he has developed have helped practitioners in the forecasting space. He also gives us a sneak peek into his upcoming book, Applied Time Series Analysis and Forecasting with R, and the new topics it will cover. We then dive into the challenges of deploying forecasting models at scale and the role of MLOps in making machine learning projects production-ready. As a Docker Captain, our guest explains how Docker has changed his approach to time series forecasting and MLOps. We also discuss best practices for forecasting, common mistakes practitioners make, and strategies for improving reproducibility. Looking ahead, we talk about where time series forecasting is heading, the differences between R, Julia, and Python in this space, and how each ecosystem serves different needs.  You can follow his work on LinkedIn, subscribe to his newsletter, and stay updated on his latest projects. Website: https://linktr.ee/ramikrispin LinkedIn Page: https://www.linkedin.com/in/rami-krispin/

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  6. Healthcare Product Forecasting in Africa

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    Healthcare Product Forecasting in Africa

    In this episode, Dr. Laila Akhlaghi and Professor Bahman Rostami-Tabar host a discussion on healthcare product forecasting in Eastern Africa with Harrison Mariki from Tanzania and Danielson Kennedy Onyango from Kenya. Harrison, founder of Afya Intelligence, discusses leveraging AI to improve forecasting for 7,000 primary healthcare facilities in Tanzania, addressing data quality and supply chain challenges. Ken, from inSupply Health, highlights the use of open-source tools and human-centered design to enhance forecasting accuracy and efficiency in Kenya. Both emphasize the importance of local talent, trust, and co-creation in developing effective forecasting solutions.

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  7. Solar Forecasting with Prof. Jan Kleissl

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    Solar Forecasting with Prof. Jan Kleissl

    In this episode of Forecasting Impact, we had the privilege of hosting Professor Jan Kleissl, a leading expert in solar power forecasting. Professor Kleissl began by sharing his journey into solar forecasting, emphasizing the growing importance of renewable energy in addressing climate change. He explained the critical role solar forecasting plays in balancing energy grids, ensuring reliability, and integrating renewable energy at scale. The discussion delved into the technical challenges of forecasting, such as dealing with weather variability, and explored the challenges ahead for NET Zero and power transformation in the field.  We further explored the practical applications of accurate solar forecasting, with Professor Kleissl highlighting how it benefits grid operators and consumers by optimizing energy distribution and reducing costs. He shared insights into decentralized energy resources and fostering innovation. He recommended the following paper for readers interested in solar power forecasting and its role in the energy market: The Value of Day-Ahead Solar Power Forecasting Improvement, published in Solar Energy.

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  8. ١٥‏/١٠‏/٢٠٢٤

    Forecasting in Healthcare with Hema Srinivasan

    In this episode, hosts Arian Sultan and Laila Akhlaghi discuss financial tools that enable healthcare markets to function more efficiently and how forecasting plays an important role in their execution with Hema Srinivasan of MedAccess. Hema Srinivasan is a senior advisor to MedAccess, supporting work to identify and execute opportunities for financial tools to help lower prices and increase the availability of medical products. She supports the Health Markets team in sourcing and developing pipeline opportunities for the deployment of MedAccess’ tools, managing the monitoring and implementation of transactions post-execution, and analyzing development impact throughout the partnership development and implementation process.  This episode explores her career and how she has used forecasting to develop market-shaping mechanisms and the methodologies that have led to increases in access to life-saving medical products. This includes analyzing market failures, identifying leverage points for intervention, and implementing policies or programs to rectify imbalances. The episode discusses how these interventions can lead to sustainable and scalable impacts, particularly in sectors where market inefficiencies hinder progress. It highlights interventions that lower prices and increase access to pharmaceuticals, diagnostics, and other medical products in low and middle-income countries (LMICs).

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Forecasting Impact is a bimonthly podcast that aims to disseminate the science and practice of forecasting by introducing prominent academics, practitioners, and visionaries in the forecasting domain. Our vision is to help grow the forecasting community, foster collaboration between academia, industry, and governments, and promote scientific forecasting and good practices.We will discuss a range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more. Forecasting Impact episodes are also available on the IIF YouTube Channel @IIForecasters. Podcast TeamChair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI. Additional co-hosts:  Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,George Boretos, Founder & CEO at FutureUP,Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,Mariana Menchero, Senior Forecaster at Nixtla, and Arian Sultan Khan, Data Analyst at VANCo-hosts in the past have included: Michał Chojnowski, Shari De Baets, Elaine Deschamps, Dr. Sevvandi Kandanaarachchi, Bahman Rostami-Tabar, Anna Sroginis, and Sarah Van der Auweraer. We welcome your feedback, questions, and suggestions. Please contact us at  forecastingimpact@forecasters.org

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