Grants and Research Awards

SAS/IIF Grant to Promote Research on Forecasting

For the twelfth year, the IIF, in collaboration with SAS®, is proud to announce financial support for research on how to improve forecasting methods and business forecasting practice. The award for this year will be (2) two $5,000 grants. The application deadline for the grant year 2014-2015 is September 30, 2014. 

Applications must include:

  • Description of the project (max. 4 pages)
  • Letter of support from the home institution where the researcher is based.
  • Brief (max. 4 page) c.v.
  • Budget and work-plan for the project.

For more information, click here.  All applications or inquiries should be sent to  .

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.

2013-2014

Grant awarded to Jeffrey Stonebraker, North Carolina State University, USA, for the project proposal in the category of Business Applications “Probabilistic Forecasting of the Global Demand for the Treatment of Hemophilia B.”

Grant awarded to Yongchen (Herbert) Zhao, University at Albany, USA, for the project proposal in the category of Methodology “Robust Real-Time Automated Forecast Combination in SAS: Development of a SAS Procedure and a Comprehensive Evaluation of Recently Developed Combination Methods.”

2012-2013

Grant awarded to  Zoe Theocharis, University College London; Nigel Harvey, University College London; Leonard Smith, London School of Economics, for the project proposal in the category of Business Applications “Improving judgmental input to hurricane forecasts in the insurance and reinsurance sector.”

Grant awarded to Elena-Ivona Dumitrescu, Janine Christine Balter, and Peter Reinhard Hansen, European University Institute, Italy, for the project proposal in the category of Methodology “Forecasting Exchange Rate Volatility: Multivariate Realized GARCH Framework.”

Grant awarded to Yorghos Tripodis, Boston University, USA, for the project proposal in the category of Business Applications “Forecasting the Cognitive Status in an Aging Population.”

2011-2012

Grant awarded to Stavros Asimakopoulos, Lancaster University, UK, for the project proposal in the category of Business Applications “How to design Mobile Forecasting User Interfaces (MFUI) to improve business forecasting.”

Grant awarded to Siddharth Arora and James Taylor, University of Oxford, UK, for the project proposal in the category of Business Applications “Short-term Load Forecasting Using Rule-based Seasonal Exponential Smoothing Incorporating Special Day Effects.”

Grant awarded to Juan Trapero, Universidad de Castilla-La Mancha, Spain; Nikolaos Kourentzes, Lancaster University, UK; and Diego Pedregal, Universidad de Castilla-La Mancha, Spain, for the project proposal in the category of Methodology “Minimizing the gap between judgmental and statistical forecasting in the presence of promotions.”

2010-2011

Grant awarded to Matthias Seifert, IE Business School, Spain, for the project proposal in the category of Business Applications “Time series forecasting: The contribution of task, decision support and cognitive factors in judgmental effectiveness.”

Grant awarded to Bryan Routledge and Noah Smith, Carnegie Mellon University, USA, for the project proposal in the category of Methodology “Text-Driven Forecasting of Mergers: Identifying Targets and Acquirers.

2009-2010

Grant awarded to Robert Fildes, Lancaster University, UK and Paul Goodwin, University of Bath, UK for the project proposal in the category of Business Applications “Improving the use of information and advice in supply chain forecasting.”

Grant awarded to David Dickey and Melinda Thielbar, North Carolina State University, USA, for the project proposal in the category of Methodology “Neural Networks for Time Series Prediction: Practical Implications of Theoretical Results.”

2008-2009

Grant awarded to Hossein Hassani and Anatoly Zhigljavsky, School of Mathematics, Cardiff University; Saeed Heravi, Cardiff Business School, Cardiff University for the project proposal in the category of Applications “Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis

2007-2008

Grant awarded to Eric Bélanger, Department of Political Science, McGill University; Michael S. Lewis-Beck, Department of Political Science, University of Iowa; and Richard Nadeau, Department of Political Science, University of Montreal, for their project proposal “Improving Election Forecasting in the United Kingdom.”

Grant awarded to Gloria González-Rivera, Department of Economics, University of California – Riverside, for her project proposal “Evaluation of Multidimensional Predictive Densities.”

2006-2007

Grant awarded to Carolina García-Martos, Universidad Politécnica de Madrid, and María Jesús Sánchez and Julio Rodríguez Universidad Politécnica de Madrid, “Unobserved Component Model for Forecasting Electricity Prices and Their Volatilities.”

Grant awarded to Barbara Rossi, Duke University, “New Methods for Forecasting and Model Evaluation.”

2005-2006

Grant awarded to Sven Crone, Lancaster University, Management School, UK, and Konstantinos Nikolopoulos, Manchester Business School, UK, “Automatic Modeling and Forecasting with Neural Networks – A Forecasting Competition Evaluation.”

Grant awarded to Pilar Poncela, Universidad Autónoma de Madrid, Spain, and Eva Senra, Universidad de Alcala, Spain “Combining Forecasts Through Factor Models: Assessing Consensus and Uncertainty.”

2004-2005

Grant awarded to Peter Zhang, Georgia State University, USA, and Douglas M. Kline, University of North Carolina at Wilmington, USA, “Quarterly Times Series Forecasting.”

Grant awarded to Ting Yu, University of Technology at Sydney, Australia, “Incorporating Prior Domain Knowledge in Machine Learning.”

2003-2004

Grant awarded to Kesten Green, Business and Economic Forecasting Unit, Monash University, Melbourne, Australia, “Assessing Probabilistic Forecasts.”

Grant awarded to Brajendra Sutradhar, Memorial University of Newfoundland, Canada, “Best Practice Recommendation for Forecasting Counts.”

Grant awarded to Min Qi, Kent State University, USA, and G. Peter Zhang, Georgia State University, USA, “Trend Time Series Modeling and Forecasting with Neural Networks.”