Summary
Contents
Subject index
In Target-Centric Network Modeling: Case Studies in Analyzing Complex Intelligence Issues, authors Robert Clark and William Mitchell take an entirely new approach to teaching intelligence analysis. Unlike any other book on the market, it offers case study scenarios using actual intelligence reporting formats, along with a tested process that facilitates the production of a wide range of analytical products for civilian, military, and hybrid intelligence environments. Readers will learn how to perform the specific actions of problem definition modeling, target network modeling, and collaborative sharing in the process of creating a high–quality, actionable intelligence product. The case studies reflect the complexity of twenty-first century intelligence issues by dealing with multi–layered target networks that cut across political, economic, social, technological, and military issues. Working through these cases, students will learn to manage and evaluate realistic intelligence accounts.
Democratic Republic of Congo: Disease Outbreak
Democratic Republic of Congo: Disease Outbreak
This case study is set in June 2017 and is based on the Democratic Republic of Congo (DRC) baseline that is described in Chapter 5. While the case study refers to actual organizations, the fact situations and persons’ names are all notional.
The case concerns a disease outbreak in the DRC that has spread to Germany and the United States, killing dozens of people and causing widespread panic in the affected countries. Adding to the panic is that public health organizations so far have been unable to agree on the source and nature of the virus causing the disease.
Note: This case study was originally drafted several years prior to the 2014 Ebola outbreak in ...
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