The International Institute of Forecasters sponsors workshops, each of which focuses on a specific forecasting theme. The purpose of these workshops is to hold smaller, informal meetings where experts in a particular field of forecasting can discuss forecasting problems, research, and solutions. There is generally a nominal registration fee associated with attendance. Following the usual refereeing process, papers from the workshops can be included in a special issue of the International Journal of Forecasting. If you are interested in hosting a workshop, contact Tim Januschowski, IIF Director, or click here for workshop guidelines.
Forecast Reconciliation | Monash University Prato Centre, Italy | 6-8 September 2023
The workshop aims to draw together about 30 participants (both academics and practitioners) from around the world, to foster research collaboration on forecast reconciliation. We have already produced an IJF special issue on “Innovations in Hierarchical Forecasting”, due to appear in early 2023. It was intended to have an IIF workshop to encourage papers for this special issue, but the pandemic made that impossible. Instead, we propose a follow-up workshop to foster ongoing research in the area, with workshop presenters encouraged to submit their papers to regular IJF issues.
For more information, visit the workshop website
Feature-based Time Series Forecasting | Ordos City, China | schedule to be announced
Feature-based forecasting aims to use meta-learning to produce more accurate forecasts based on time series features. As early as the 1970s, Adam (1973) argued that the statistical characteristics of time series can be used to improve forecasting performances. Later literature supported this argument. Recently, related feature-based algorithms have been developed with great success, while some key issues remain to be tackled including automatic feature extraction and selection, feature-based density forecasting, forecasting related time series with features, time series generation based on features, and minimum forecast model pools for forecast model averaging. The proposed workshop aims to bring people together with diverse expertise and facilitate new research collaborations.
For more information: workshop webpage or Prof. Yanfei Kang
Democratising Forecasting
This is a series of ongoing workshops on forecasting using R in developing countries. The aim of the project is to ‘train the trainers’ in the form of university students, academics and professionals on the principles of forecasting using R software to support decision making. The ultimate goal of this project is to train 400 individuals, over 5 years in 20 developing countries in the world. The first series of workshops have already been offered in 2017-18. To date, the workshops have been offered in Tunisia, Iraq, Senegal, Nigeria, Uganda, Turkey, Georgia, and Indonesia
The workshops are given by Dr. Bahman Rostami-Tabar, Assistant Professor in Management Science at Cardiff Business School. To organise a workshop in your country, contact [email protected]