J. Scott Armstrong
J. Scott Armstrong (Ph.D., MIT, 1968), Professor of Marketing at the Wharton School, University of Pennsylvania, is a founder of the Journal of Forecasting, the International Journal of Forecasting, and the International Symposium on Forecasting. He is the creator of forecastingprinciples.com and editor of Principles of Forecasting, an evidence-based summary of knowledge on forecasting. In 1996, he was selected as one of the first six “Honorary Fellows” by the International Institute of Forecasters. He was named by the Society of Marketing Advances as “Distinguished Marketing Scholar of 2000.” One of Wharton’s most prolific scholars, he is the most highly cited professor in the Marketing Department at Wharton. His current projects involve the application of scientific forecasting methods to climate change and the use of the index method to make predictions for situations with many variables and much knowledge (e.g., political elections and the effectiveness of advertisements). His book, Persuasive Advertising, was published by Palgrave Macmillan in 2010. It summarizes evidence-based knowledge on persuasion and it is supported by advertisingprinciples.com.
For more information see Scott's personal website. Alfred G. CuzánFor more information see Alfred's personal website. Andreas Graefe Andreas Graefe (Ph.D., Karlsruhe Institute of Technology, Germany) is currently Senior Manager CRM at the German pay-tv company Sky Deutschland. Before that, Andreas was a researcher at the Institute for Technology Assessment and Systems Analysis at the Karlsruhe Institute of Technology, Germany. From January 2008 to December 2009, he was visiting with Professor Scott Armstrong at the University of Pennsylvania's Wharton Business School. Andreas published a number of research articles (including papers in International Journal of Forecasting, Journal of Behavioral Decision Making, Journal of Business Research, BMC Medical Informatics and Decision Making, Futures, and the Journal of Prediction Markets). His research focus is on the development of new forecasting methods thatare simple to use, easy to understand, and thus can aid decision-makingin the real world. Currently, he is working on new election forecasting models that can provide advice to political decision makers in questions such as which candidate parties should nominate to run for office or which issue to emphasize in their campaign.
For more information see Andreas' personal website. Randall J. Jones, Jr. Randall J. Jones, Jr. (PhD University of Texas at Austin) is Professor of Political Science at the University of Central Oklahoma. Previously, he was Chair of the political science department and served as Assistant Dean of the College of Liberal Arts. Jones's current research interests relate to political forecasting, particularly predicting election outcomes. He also has published studies on forecasting political risks encountered by U. S. oil companies abroad. He is author of Who Will Be in the White House? Predicting Presidential Elections (Longman, 2002) and is co-editor of 21 Debated: Issues in World Politics (Prentice-Hall 2000, 2004). Jones chaired the organizing committee of the Political Forecasting Group, a Related Group of the American Political Science Association since 2006, and is currently the group's Secretary-Treasurer. He is a collaborator in the Special Interest Group PoliticalForecasting.com. Jones has been designated Oklahoma Political Science Scholar of the Year and Oklahoma Political Science Teacher of the Year, both awards of the Oklahoma Political Science Association, of which he has been president. At UCO Jones was named a Herbert Hauptman faculty research fellow and is director of the interdisciplinary minor in Global Studies. He previously served on the Board of Directors of the World Affairs Council of Central Oklahoma and of the United Nations Association, Oklahoma City chapter.
For more information see Randy's personal website.
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