The International Institute of Forecasters is pleased to announce the first Clive Granger Memorial Keynote Address. This is in honor and memoriam of Clive Granger, Nobel Prize-winning econometrician and professor emeritus at the University of California, San Diego. Professor Mark Watson (Princeton) will be the recipient of this honor at the International Symposium of Forecasting 2010 in San Diego.
Forecast Pro and Timberlake will sponsor meetings in Boston, February 8-10 and in Washington D. C., March 18-19 respectively.
Timberlake's conference will focus on their product, OxMetrics, and will provide a forum for the exchange of research results and practical experiences within the fields of financial and empirical econometrics and forecasting. Papers are invited. Keynotes speakers of interest to forecasters include Prof. Sir David Hendry, Dr. Jurgen Doornik, and Prof. Siem Jan Koopman. Online registration is available at: timberlake.email.com/t/y/l/
The Tourism Forecasting Special Interest Group (SIG), sponsored by The Hong Kong Tourism Demand Forecasting System (HKTDFS), was launched on November 26. This SIG is maintained by Haiyan Song, the Chair Professor of Tourism and Associate Director of the School of Hotel and Tourism Management at The Hong Kong Polytechnic University.
This is believed to be the first such SIG that builds a useful platform for industry executives, forecasting practitioners, and researchers concerned with tourism forecasting. It offers a comprehensive overview of the basic concepts and methods of tourism demand forecasting. In addition, the tourism forecasting SIG website also contains a large number of recent tourism forecasting publications including books, conference papers, journal articles, reports for practitioners, and working papers related to tourism forecasting. The site is linked to a number of official datasets and computer software sources, which are useful for tourism forecasting practitioners and researchers. Please visit this SIG.
Using the structured analogies forecasting method that they have developed, Kesten Green and Scott Armstrong have concluded that alarm over “dangerous manmade global warming” is the latest example of a common social phenomenon involving alarming but unscientific forecasts that prove to be wrong. More information about their global warming analogies forecasting project is available on the Public Policy Forecasting Special Interest Group pages here.