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
Evangelos Spiliotis
Evangelos Spiliotis is a Research Fellow at the Forecasting and Strategy Unit, National Technical University of Athens (NTUA). He co-organised the M4 and M5 Forecasting Competitions and is an organiser of the M6 competition.
Evangelos talks about his research directions, highlighting the role of machine learning algorithms in time series forecasting within current business processes. He also discusses the M competitions which have been organized by Professor Spyros Makridakis and Evangelos for the last several years. The M6 competition, a competition on forecasts of stock price (returns) and risk, is live now and will be finalised in February 2023.
Evangelos recommends Forecasting: Principles and Practice (3rd ed) by Rob J Hyndman and George Athanasopoulos and Practical Time Series Forecasting with R: A Hands-On Guide by Galit Shmueli and Kenneth C. Lichtendahl Jr.
He also recommends the following papers: Forecasting: Theory and Practice by Petropoulos et al., Retail forecasting: Research and Practice by Fildes, Ma and Kolassa, and the special International Journal of Forecasting issues on the M competitions.