The 36th International Symposium on Forecasting is to be held in Santander, Spain, from the 19th to 22nd of June, 2016, at Palace of La Magdalena. 

The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world's leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun. 

Important Dates:
Invited Session Proposals: January 31 2016
Abstract Submissions: March 16 2016
Early Registration Ends: May 15 2016

For more information on the 2016 ISF see here. Keynote & Feature Speakers are listed here.

At the recent International Symposium of Forecasting in Riverside, Scott Armstrong and Kesten Green presented three papers illustrating the effects of simplicity and conservatism in forecasting. In one example, with Andreas Graefe, they described applying three Golden Rule checklist items to improving eight established election forecasting models. Their resulting simple model reduced forecast error by 45% compared to the original models. To see the slides for their papers, visit the pages at and, and scroll down.

The 19 papers of the Special Issue of the Journal of Business Research guest edited by Kesten Green and Scott Armstrong and devoted to evidence on the effect of simplicity versus complexity in forecasting are now available online. We have provided a Table of Contents for the Special Issue, with links to the papers. The eagle-eyed among you will notice that the ordering of our table of contents is at odds with page number order. A miss-step in the production process saw the editors' logical ordering of the papers ignored. We have used the editors' intended order in our Table of Contents, available from the Papers Page. Please tell your colleagues about this important Special Issue; one that is relevant to all forecasting researchers and practitioners. 

Frequent visitors to may have noticed that the Forecasting Methodology Tree and the Forecasting Method Selection Tree have changed. Earlier this year, we replaced the Trees with versions that better represent the current state of forecasting knowledge. Since then, we have been fixing and revising the pop-up windows so that they are consistent with the new Trees. The Trees remain a work in progress--we will continue to improve the pop-up descriptions and add relevant links--so please let us know if you spot any problems or have any suggestions for improvements. See the links to the new Trees in the menu bar at the top of the screen.

Alain Elkann interviews famous people, iconic people. The three listed in his interview directory under the letter B, for example, are Ban Ki-Moon, Bianca Jagger, and Brigitte Bardot. During his current visit to the University of Pennsylvania, Alain recently interviewed co-founder of the International Institute of Forecasters, International Journal of Forecasting, and International Symposium of Forecasting, J. Scott Armstrong.

Curious about what led Scott to so many contrarian conclusions, Alain interviewed him about his life as a scientific skeptic. Naturally, the interview revolved around Scott's forecasting research. As a consequence of the interview, the discipline of forecasting is now aligned with the stars. The interview is currently the Most Read.

The Alain Elkann Interview with Scott was also published in the Italian newspaper La Stampa on Sunday, April 12, 2015. Alain was alerted to Scott's contributions to forecasting by a list of the 25 Most Famous College Professors Teaching Today.

Principle of the day:

11.3-Use prespecified domain knowledge in selecting, weighting, and modifying quantitative methods

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