The annual conference of the Operational Research Society is to be held at Royal Holloway, University of London, in Egham, Surrey (close to London), between September 9 and 11, 2014.

To submit an abstract for presentation at the conference, visit this page. Abstracts are limited to 300 words. Both abstracts on academic forecasting research and applications in forecasting practice are welcome. The deadline for abstract submission is June 16, 2014.

Visit the conference website for more information. 

The IIF's International Symposium on Forecasting (ISF) is the premier international event for professional forecasters. Over the past 33 years, the ISF has been recognized for the important forecasting research presented there, and for having hosted highly respected experts in the field of forecasting.

In their new paper, Scott Armstrong, Kesten Green, and Andreas Graefe present a unifying theory of forecasting in the form of a Golden Rule of Forecasting. The rule is to be conservative. Being conservative in forecasting means applying all cumulative knowledge about the forecasting problem and using evidence-based methods.

You are invited to participate in a web-based judgmental forecasting exercise. You will be asked to select the best forecasting model, based on your judgment, for 32 time series.

The exercise consists of four rounds. Each round will contain 8 series and will be followed by a short questionnaire, while different types of information will be provided in addition to forecasts. Detailed instructions are provided prior to each round. You may complete the exercise in one session, or you can save your work to complete it later at your convenience.

At the end of the exercise you will be provided with your score. Your final performance will be calculated based on the rank of the models corresponding to your choices, according to the actual (out-of-sample) performance of each model. If your score is one of the top 20, you will be awarded an Amazon Gift Card valued at £50.

You can access the web-based exercise here:

The U.S. Intelligence Advanced Research Projects Activity (IARPA) has issued a Request for Information on "Lessons Learned Knowledge Management" that may be of interest to forecasting researchers. For more information, see the RFI here.