Generating The All-Hazards Intelligence Synthesis Model In The Homeland Security Intelligence Enterprise

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dc.contributor.advisorDenham, Magdalena
dc.contributor.advisorMorag, Nadav
dc.creatorReeves, Walter Glenn
dc.creator.orcid0000-0003-1129-3454
dc.date.accessioned2018-12-10T18:39:44Z
dc.date.available2018-12-10T18:39:44Z
dc.date.created2018-12
dc.date.issued2018-11-01
dc.date.submittedDecember 2018
dc.date.updated2018-12-10T18:41:55Z
dc.description.abstractThe United States all-hazards homeland security operational and intelligence domains are multijurisdictional, multiagency, and multidisciplinary intelligence challenges for all-hazards intelligence analysts. A common analytical conceptual framework is needed to help unify homeland security intelligence enterprise analysts who work in an all-hazards, all-source, all-crimes, and all-disciplinary intelligence environment. A unifying all-hazards intelligence synthesis model that unites intelligence analysts with the law-enforcement, cybersecurity, technology, and natural science disciplines, would benefit the homeland security and intelligence domain enterprises. The purpose of the applied research was to discover and generate an all-hazards analysis model that enables the production of risk-informed applied intelligence products in a pluralistic intelligence environment that is privacy, civil rights, and civil liberties compliant. A comprehensive literature review was conducted following the four-step collect, analyze, synthesize, and apply process. This process is derived from proven knowledge, information, and risk management programs, as well as proven intelligence analysis methodologies, for gathering information about adversarial, cyber, technological, and natural hazards and threats to social, technological, and environmental resources. The research resulted in the generation of a universal all-hazards intelligence synthesis model that may be applicable to systems safety engineering, criminal, political, military, economic, social, and medical intelligence activities.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/20.500.11875/2554
dc.language.isoen
dc.subjectHomeland security
dc.subjectAll-hazards
dc.subjectIntelligence
dc.subjectSynthesis
dc.subjectAnalysis
dc.subjectAll-crimes
dc.subjectAll-source
dc.subjectHazards
dc.subjectThreats
dc.subjectCrisis
dc.subjectDisaster
dc.subjectCatastrophe
dc.subjectAdversarial
dc.subjectCyber
dc.subjectTechnological
dc.subjectNatural
dc.subjectInterdisciplinary
dc.subjectMultijurisdictional
dc.subjectInteragency
dc.subjectKnowledge management
dc.subjectInformation management
dc.subjectRisk management
dc.subjectSystems
dc.subjectKnowledge organization
dc.subjectKnowledge generation
dc.subjectKnowledge transfer
dc.subjectKnowledge application
dc.subjectPrivacy
dc.subjectCivil rights
dc.subjectCivil liberties
dc.subjectCritical reasoning
dc.subjectCritical thinking
dc.subjectClinical reasoning
dc.subjectCommunication
dc.subjectLaw enforcement.
dc.titleGenerating The All-Hazards Intelligence Synthesis Model In The Homeland Security Intelligence Enterprise
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentSecurity Studies
thesis.degree.grantorSam Houston State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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