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Forecasting Impact is a monthly podcast which aims to disseminate the science and practice of forecasting by introducing prominent academics and practitioners in the forecasting domain. Our vision is to help and grow the forecasting community, foster collaboration between academia, industry and governments, and promote scientific forecasting and good practices.

We will discuss a wide range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more.

Podcast Team
Chair and Co-host: Dr. Mahdi Abolghasemi, Lecturer in Data Science, The University of Queensland
Co-hosts: Dr. Sevvandi Kandanaarachchi, Michał Chojnowski, Dr Laila Akhlaghi, George Boretos, Mariana Menchero, Dr. Faranak Golestaneh, and Arian Sultan Khan.

We welcome your feedback, questions and suggestions forecastingimpact@gmail.com

PODCASTS

New Episode Neuroscience with Forecasting & AI with Kai Markus Mueller

In this episode, hosts George Boretos & Arian Sultan Khan explore the intersection of Neuroscience with Forecasting & AI with guest Kai Markus Mueller, an acclaimed neuroscientist and a pioneer in Neuropricing.

Kai, who began his journey in psychology with aspirations of becoming a child psychotherapist, eventually shifted his focus to cognitive psychology and neuroscience. His transition from academia to the industry led to the invention of Neuropricing that utilizes fMRI and EEG to understand consumer behavior and predict responses to advertising and pricing.

The podcast delves into Kai’s innovative work, highlighting how brain activity can often predict consumer behavior more accurately than traditional self-reported methods, with success stories such as Starbucks coffee pricing research and Pepsi’s strategy in Turkey.  Kai explains the practical applications of neuroscience in business, such as storyboard testing for advertising effectiveness and discusses the integration of AI with neuroscience to enhance predictive models.

2024

Mitchell O’Hara-Wild, Data Scientist
Joannes Vermorel, Founder and CEO at Lokad
Laurent Ferrara, Professor of International Economics at SKEMA Business School
Eric Siegel, Consultant

2023

Michele Trovero, leader of the Forecasting R&D group at SAS, and Spiros Potamitis, Data Scientist and Product Marketing Manager at SAS
Martie-Louise Verreynne, University of Queensland
David Schmitt, Insight Transportation Consulting, Inc.
Stephan Kolassa (SAP), Bahman Rostami-Tabar (Cardiff Univ), and Enno Siemsen (Univ of Wisconsin)
Priyanga Dilini Talagala, University of Moratuwa, and Thiyanga Talagala, University of Sri Jayewardenepura
George Athanasopoulos, Monash University
Forecasting Software Panel (Rob Hyndman, Federico Garaz, and Eric Stellwagen)
Eric Siegel, Consultant
Scott Cunningham, University of Strathclyde
Tao Hong, University of North Carolina at Charlotte

2022

Galit Shmueli, National Tsing Hua University
Ataman Ozyildirim, The Conference Board
Nikolaos Kourentzes, University of Skövde
Polly Mitchell-Guthrie, Kinaxis
Trevor Sidery, Tesco PLC
Jim Hoover, University of Florida
Len Tashman, Founding editor of Foresight
Jennifer Castle, Oxford University
Evangelos Spiliotis, National Technical University of Athens
Paul Goodwin, University of Bath
Elaine Deschamps, Washington State Caseload Forecast Council
John Boylan, Lancaster University and Aris Syntetos, Cardiff University

2021

Anne Robinson, Kinaxis
Feng Li, Central University of Finance and Economics
Nada Sanders, Northeastern University
Pierre Pinson, Technical University of Denmark
Bahman Rostami-Tabar, Cardiff University
Michael Gilliland, SAS
George Athanasopoulos and Pam Stroud, Monash University & IIF
Spyros Makridakis, University of Nicosia
Stephan Kolassa, SAP AG
Gloria Gonzalez-Rivera, University of California
Robert Fildes, Lancaster University
Rob Hyndman, Monash University