Forecasting Impact
Forecasting Impact is a monthly podcast that aims to disseminate the science and practice of forecasting alongside prominent academics and practitioners in the field. Our vision is to grow the forecasting community, foster collaboration between academia and industry, and promote scientific forecasting and good practice. We’ll discuss a variety of topics in economics, supply chain, energy, AI, data analytics, healthcare, and more.
Podcast Team: Dr. Mahdi Abolghasemi, Dr. Sevvandi Kandanaarachchi, Michał Chojnowski, Dr Laila Akhlaghi, George Boretos, Mariana Menchero, Dr. Faranak Golestaneh, Arian Sultan Khan.
Future guests: if you have something interesting on forecasting to share with our audiences, please send an email to forecastingimpact@gmail.com
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.