The International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at https://www.forecasters.org. The International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field. Topics covered in the International Journal of Forecasting: • Economic and econometric forecasting • Marketing forecasting • New products forecasting • Financial forecasting • Production forecasting • Technological forecasting • Forecasting applications in business, government, and the military • Demographic forecasting • Energy forecasting • Climate forecasting • Crime forecasting • Seasonal adjustments and forecasting • Time series forecasting • Legal and political aspects of forecasting • Implementation of forecasting • Judgmental/psychological aspects of forecasting • Impact of forecast uncertainty on decision making • Organizational aspects of forecasting • Sport forecasting • Machine Learning forecasting • Forecasting methodology • Election forecasting • Big data forecasting Features of the IJF include research papers, research notes, discussion articles, book reviews, editorials and letters. Data and computer programs associated with articles published in the International Journal of Forecasting are provided as online supplements on ScienceDirect. Objectivity To ensure fairness and objectivity, double-blind reviewing will be used. Replication studies The IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.