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1 Introduction
Pages 1-6

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From page 1...
... THE DECADAL SURVEY OF SOCIAL AND BEHAVIORAL SCIENCES FOR APPLICATIONS TO NATIONAL SECURITY A decadal survey is a method for engaging members of a research community to identify lines of research with the greatest potential utility in the pursuit of a particular goal. The National Academies pioneered this type of survey with a study of ground-based astronomy in 1964.1 Since then, committees appointed by the National Academies have conducted more than 15 decadal surveys.
From page 2...
... understanding narratives for national security purposes. Separate steering committees, whose membership included both members of the Decadal Survey Committee and additional experts in the topics to be addressed, were appointed to plan these workshops.
From page 3...
... Sackett observed that the Decadal Survey Committee will rely heavily on input from experts in the communities of national security and behavioral and social science research. Given the breadth of the committee's charge, he explained, it must cast a wide net, extending well beyond the specific expertise of its members to seek feedback from many sources.
From page 4...
... INTRODUCTION TO THE WORKSHOP ON LEARNING FROM THE SCIENCE OF COGNITION AND PERCEPTION FOR DECISION MAKING The workshop steering committee planned the workshop to gather input on the fundamental limits of human cognition and perception and issues of human–machine interaction as relevant to the work of intelligence analysts. The committee recognized that intelligence analysts must make sense of global information and anticipate or forecast possible events and activities and they have access to a large amount of potentially useful information and data, as well as a large amount of irrelevant information.
From page 5...
... It summarizes three presentations addressing the challenges of forecasting and preparing for events that impact national security. It also considers opportunities to improve the performance of intelligence analysts, who must make sense of data on possible events.


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