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
Nada Sanders
Our next guest is Professor Nada Sanders, Distinguished Professor in Supply Chain Management at Northeastern University, US. She has written several books (e.g., “Big Data Driven Supply Chain Management” (Pearson), “Foundations of Sustainable Business”, “Forecasting Fundamentals”), her latest publication is “The Humachine: Humankind, Machines, and the Future of Enterprise”.
In this episode, Nada emphasizes the important role of humans in decision-making and predictions. Despite humans’ fallacies and biases, we bring valuable contextual information into analytics. While there are many open questions about the use of human judgment in forecasting, another level of complexity is arising—the use of algorithms and support systems. Nada also encourages academics and practitioners to work together, especially given the global problems in supply chain and forecasting that have arisen with the COVID pandemic.
Nada recommends “Judgment and Choice” by Robin Hogarth and the collective body of papers by Robert Fildes and Paul Goodwin.