课题基金 / 基金详情

Lessons Learned Project II - historical challenges to contemporary security issues

Lessons Learned Project II - historical challenges to contemporary security issues
经验教训项目二——当代安全问题的历史挑战
批准号:
AH/M504208/1
负责人:
Michael Goodman
金额:
$7.25万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

项目摘要

项目成果

Michael Goodman的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This is a proposal for AHRC funding of a further 'Lessons Learned Project'. The intention behind the project is to bridge the gaps and create engagement between the academic sectors and the closed intelligence community. Mutual benefit from engagement can be derived in several ways: (i) Engagement with academics who have conducted research on similar topics to those being investigated by intelligence analysts using open source data has the benefit of providing critical checks and balances, as well as enrichment of a fragmentary dataset; (ii) Engagement between academia and analysts from a closed intelligence community provides a forum for challenging conventional wisdom and assessments made largely on the basis of intelligence, and to reduce mirror imaging and group think in a unique forum; (iii) Engagement with academia provides a valuable analytical resource: it can provide trends analysis based on statistical data capture applicable to a range of thematic topics using both random and structured sampling; and (iv) Engagement with the academic community may serve to enrich knowledge and the intelligence picture; providing information and knowledge left gapped by intelligence coverage.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
EAGER: A First Principles Test of the Current Sheet Heating Hypothesis for the Solar Corona
Spectacular environmentalisms: Celebrity and the mediation of environmental change
  • 批准号:
    AH/H039279/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $3.02万
  • 财政年份:
    2010
  • 负责人:
    Michael Goodman
  • 依托单位:
Magnetohydrodynamic Modeling of Current Sheet Structure and Magnetic Reconnection Using a Realistic Description of Transport Processes
Multi-Dimensional Magnetohydrodynamic (MHD) Simulations of Chromospheric Dynamics Using a Complete Electrical Conductivity Tensor
海外基金