The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a 2-day virtual workshop on December 17 and 21, 2021, to explore insights from world-class experts and technologists familiar with the extensive range of issues associated with anticipating rare eventsthose characterized by a very low probability of occurringof major significance. Over the course of the 2-day workshop, the speakers discussed analytical methods, computational advances, data sources, and risk assessment approaches for anticipating rare events, including natural disasters, pandemics, anthropogenic threats, and widespread technological change. This proceedings is a factual summary of the presentations and discussion of the workshop.
Table of Contents
Front Matter 1 Introduction and Overview 2 Mathematical Foundations for Anticipating Rare Events 3 Detection, Indications, and Warnings 4 Planning, Forecasting, and Intelligence Preparation 5 Fireside Chat - Using Artificial Intelligence to Predict the Occurrence of Sepsis 6 Fireside Chat - Rare Events and Insurance 7 Multisource Information Fusion, Situation Assessment, and Course of Action Selection 8 Active Prevention and Deterrence 9 Concluding Remarks Appendixes Appendix A: Statement of Task Appendix B: Workshop Agenda Appendix C: Planning Committee Biographies Appendix D: Speaker Biographies
