This issue provides guidance and insight on how to build a persistent forecasting system to predict, analyze, and reduce the impact of the most dramatically disruptive technologies.

This is the first of two reports, this volume analyzes existing forecasting methods and processes.
It 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.

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

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