
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 Team
Chair 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 VAN
Co-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
Forecasting Impact
John Boylan and Aris Syntetos
Our next guests are John Boylan, Professor and Director of Centre for Marketing Analytics and Forecasting (CMAF) at Lancaster University (UK), and Aris Syntetos, Professor of Operational Research and Operations Management at Cardiff University.
John and Aris have recently published a book titled “Intermittent Demand Forecasting: Context, Methods and Applications”, a book aimed at practitioners and early career researchers which summarises everything known about intermittent demand forecasting up to date. In this episode, we introduce this book and then talk about good practices for research and industry collaborations.
John recommends “Inventory and Production Management in Supply Chains” by E. Silver, D. Pyke, D. Thomas, and Aris talks about “Statistical forecasting for inventory control” and “Smoothing, Forecasting and Prediction of Discrete Time Series” by Robert Goodell Brown.