The International Institute of Forecasters Announces SAS® Grants to Support Research on Forecasting for Year 2010
(3 March, 2010)
The International Institute of Forecasters, in collaboration with SAS®, is proud to announce a grant of financial support for research on how to improve the state of the art in forecasting methods and business forecasting applications. Over twenty years of forecasting research has seen major changes in the theoretical ideas underpinning forecasting effectiveness. However, there has been less impact on forecasting methods and applications.
This will be the eighth year, after the award of grants in 2003 through 2009, in which the IIF has partnered with SAS® to offer this generous support. The grant consists of two, $5,000 awards.
Applications should be submitted to the IIF Office by 30th September 2010. For more information on this grant and how to apply, visit the IIF website Grants and Research Awards page.
“Enhancing group-based judgmental forecasting: processes and priorities”
- Demonstrations of the efficacy of particular techniques
- Elucidations of the mechanisms by which improvements in forecasting validity are obtained
- Advances in the applications of techniques that combine, or resolve disagreements between, the judgments of individual forecasters
- Theoretical evaluations of group-based forecasting
If you are interested in contributing to this special issue, please submit a one-page abstract to both editors of the special issue for an initial assessment. A quick response will be given regarding the suitability of the paper for the special issue. The deadline for submission of full papers is 1 June 2009 and we are aiming for the special issue to be published by summer 2010. All papers submitted will go through a double blind review process and only those papers that meet the requirements of the International Journal of Forecasting would be accepted for publication.
Please submit your initial abstract electronically to both editors listed below:
Durham Business School
Institute of Food Research
Michele Hibon has provided the justifiably famous M-, M2-, and M3-competition data sets in Excel format to make it easier for researchers to use them for testing alternative forecasting methods. The data are available on the Researchers’ page under Data.