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 Applications "Minimizing the gap between judgmental and statistical forecasting in the presence of promotions.”

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."

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

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

Grant awarded to Robert Fildes, Lancaster University, UK and Paul Goodwin, Bath University, UK, for the project proposal in the category of Applications "Improving the Use of Information and Advice in Supply Chain Forecasting”

Grant awarded to Carlos Mate, Universidad Pontificia Comillas, Madrid for the project proposal in the category of Methodology "The Practice of Forecasting using Bayesian Model Averaging and Bayesian Nonparametrics (FORBA_MANP)."

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”

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."

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"

Grant awarded to Sven Krone, 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"

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"

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"