For the sixteenth year, the IIF, in collaboration with SAS®, is proud to announce financial support for research on improving forecasting methods and business forecasting practice. The award for this year will be (2) $5,000 grants.

The deadline date for applications is 29 September 2018.

This 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 is divided to support research on (1) how to improve forecasting methods and (2) business forecasting practice and applications. To learn more and to apply for this grant, visit our website.

Last year’s award recipients:

Cong Feng and Jie Zhang, The University of Texas at Dallas, for the project proposal in the category of Business Applications Hierarchy-based Disaggregate Forecasting Using Deep Machine Learning in Power System Time Series.

Fernando Cyrino and Bruno Q. Bastos, Pontifical Catholic University of Rio de Janeiro, for the project proposal in the category of Methodology Forecasting Wind and Solar Time Series with Convolutional Neural Networks Approach to Spatio-Temporal.

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