2017 SAS/IIF forecasting research grants


For the fifteenth year, the International Institute of Forecasters, in collaboration with SAS®, is proud to announce research grants for how to improve forecasting methods and business forecasting practice. The award for the 2017-2018 year will be two $5,000 grants, in Business Applications and Methodology.

Criteria for the award of the grant will include likely impact on forecasting methods and business applications. Consideration will be given to new researchers in the field and whether supplementary funding is possible.

Applications must include:

  • Description of the project (max. 4 pages)
  • Brief (max. 4 page) c.v., including references
  • Budget and work-plan for the project (brief, 1 page max.)

The deadline for applications is September 29, 2017. 

Find a complete overview of the requirements for the award on the IIF website.

All applications or inquiries should be sent to IIF Business Director (pamstroud@forecasters.org).

The IIF-SAS grant was created in 2002 by the IIF, with financial support from the SAS Institute, in order to promote research on forecasting principles and practice. The fund provided amounts of US $10,000 per year, which is divided to support research in the two basic aspects of forecasting: development of theoretical results and new methods, and practical applications with real-world comparisons.

Here is a list of previous grant recipients and their research.


About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is author of The Business Forecasting Deal (the book), and editor of Business Forecasting: Practical Problems and Solutions. He is a longtime business forecasting practitioner, and currently Product Marketing Manager for SAS Forecasting software. Mike serves on the Board of Directors for the International Institute of Forecasters, and received the 2017 Lifetime Achievement in Business Forecast award from the Institute of Business Forecasting. He initiated The Business Forecasting Deal (the blog) to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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