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Decoded: Understanding the Post-COVID-19 Security Landscape Using Structured Models, Approaches and Analytic Techniques
Paperback

Decoded: Understanding the Post-COVID-19 Security Landscape Using Structured Models, Approaches and Analytic Techniques

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In early 2020, a focus group was conducted to examine some of the implications of the ongoing effects of long-term lockdowns and pandemic-related economic impacts. It became apparent that the analysis might also be relevant to other types of emergencies. The focus group was comprised military officers, police practitioners, social scientists, data scientists, linguists, cyber security, gang crime researchers and criminologists. The overarching security question being addressed in this report is the following: How might the security landscape change internationally experience change internationally following the COVID-19 pandemic? The term ‘security landscape’ refers to the broad spectrum of security problems which might be aggravated by the ‘new normal’.

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MORE INFO
Format
Paperback
Publisher
Canadian Association for Security and Intelligence
Date
25 July 2020
Pages
326
ISBN
9781777292133

In early 2020, a focus group was conducted to examine some of the implications of the ongoing effects of long-term lockdowns and pandemic-related economic impacts. It became apparent that the analysis might also be relevant to other types of emergencies. The focus group was comprised military officers, police practitioners, social scientists, data scientists, linguists, cyber security, gang crime researchers and criminologists. The overarching security question being addressed in this report is the following: How might the security landscape change internationally experience change internationally following the COVID-19 pandemic? The term ‘security landscape’ refers to the broad spectrum of security problems which might be aggravated by the ‘new normal’.

Read More
Format
Paperback
Publisher
Canadian Association for Security and Intelligence
Date
25 July 2020
Pages
326
ISBN
9781777292133