CMAF Friday Forecasting Talk: On performance of temporal aggregation in time series forecasting

Friday 25 February 2022, 2:00pm to 3:00pm

Venue

online

Open to

Postgraduates, Prospective Postgraduate Students, Public, Staff

Registration

Free to attend - registration required

Registration Info

Book here:

Event Details

CMAF Friday Forecasting Talk

Forecasting algorithms provide a significant opportunity for forecasters to improve their accuracy. However, once people have seen an algorithm err, they are quick to abandon it. This phenomenon is known as ‘algorithm aversion’ (Dietvorst, Simmons, & Massey, 2015). However, recently, Logg, Minson, & Moore (2019) have reported the opposite effect: results from six experiments showed that people preferred the advice of an algorithm over that of a person. The authors termed this ‘algorithm appreciation’. How can these findings be reconciled? The effects of feedback and visual aids versus labels are explored and discussed.

Speaker

Bahman Rostami-Tabar

Cardiff Business School

Bahman Rostami-Tabar is Associate Professor (Reader) in Management Science at Cardiff Business School, Cardiff University, UK. Bahman holds a Ph.D. in Industrial Engineering from the University of Bordeaux, France. He is the founder of Forecasting for Social Good and Democratising Forecasting initiatives sponsored by the International Institute of Forecasters (You can check out these initiatives at https://www.f4sg.org/). In his research, he has been developing and using forecasting models in he

Contact Details

Name Teresa Aldren
Email

t.aldren@lancaster.ac.uk

Website

https://cmaf-fft.lp151.com/