首页> 美国政府科技报告 >Driving in the Dark: Ten Propositions About Prediction and National Security
【24h】

Driving in the Dark: Ten Propositions About Prediction and National Security

机译:在黑暗中驾驶:关于预测和国家安全的十大主张

获取原文

摘要

The U.S. military relies on prediction to forecast needs and influence the design of major equipment. A future or futures are envisioned, requirements are deduced, and acquisition and design decisions are made and justified accordingly. However, both the experience of the Department of Defense (DoD) and social science literature demonstrate that long-term predictions are consistently mistaken. The acceleration, proliferation, and diversification of technical and political changes make 21st-century security risks even more unpredictable than those of the past. Thus, whereas some efforts to predict the future are necessary and predictive techniques can be improved, acquisition programs should reflect the likelihood of predictive failure. The defense community should prepare to be unprepared. This report presents 10 propositions regarding prediction. The first five are descriptive: (1) The propensity to make predictions -- and to act on the basis of predictions -- is inherently human; (2) Requirements for prediction will consistently exceed the ability to predict; (3) The propensity for prediction is deeply embedded at the highest levels of DoD; (4) The unpredictability of long-term national security challenges is an immovable object; and (5) Planning across a range of scenarios is good practice but will not prevent predictive failure. The second group of propositions are prescriptive. They show how policymakers can better design processes, programs, and equipment to account for the likelihood of predictive failure. Doing so will involve several actions: (6) Accelerating decision tempo and delaying some decisions, (7) Increasing the agility of our production processes, (8) Prioritizing adaptability, (9) Building more for the short term, and (10) Nurturing diversity and creating competition.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号