Persistent Forecasting of Disruptive Technologies
eBook - PDF

Persistent Forecasting of Disruptive Technologies

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  1. 137 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Persistent Forecasting of Disruptive Technologies

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About this book

Technological innovations are key causal agents of surprise and disruption. In the recent past, the United States military has encountered unexpected challenges in the battlefield due in part to the adversary's incorporation of technologies not traditionally associated with weaponry. Recognizing the need to broaden the scope of current technology forecasting efforts, the Office of the Director, Defense Research and Engineering (DDR&E) and the Defense Intelligence Agency (DIA) tasked the Committee for Forecasting Future Disruptive Technologies with providing guidance and insight on how to build a persistent forecasting system to predict, analyze, and reduce the impact of the most dramatically disruptive technologies. The first of two reports, this volume analyzes existing forecasting methods and processes. It then outlines the necessary characteristics of a comprehensive forecasting system that integrates data from diverse sources to identify potentially game-changing technological innovations and facilitates informed decision making by policymakers.The committee's goal was to help the reader understand current forecasting methodologies, the nature of disruptive technologies and the characteristics of a persistent forecasting system for disruptive technology. Persistent Forecasting of Disruptive Technologies is a useful text for the Department of Defense, Homeland Security, the Intelligence community and other defense agencies across the nation.

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Information

Edition
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Topic
History
Index
History

Table of contents

  1. FrontMatter
  2. Preface
  3. Acknowledgment of Reviewers
  4. Contents
  5. Acronyms and Abbreviations
  6. Glossary
  7. Summary
  8. 1 Need for Persistent Long-Term Forecasting of Disruptive Technologies
  9. 2 Existing Technology Forecasting Methodologies
  10. 3 The Nature of Disruptive Technologies
  11. 4 Reducing Forecasting Ignorance and Bias
  12. 5 Ideal Attributes of a Disruptive Technology Forecasting System
  13. 6 Evaluating Existing Persistent Forecasting Systems
  14. 7 Conclusion
  15. Appendixes
  16. Appendix A: Biographical Sketches of Committee Members
  17. Appendix B: Meetings and Speakers