Grant: Discovery Grants Program - Individual
Dalhousie University
$65,416.00
Validation of risk analysis methods: foundations, framework, and procedures
EF 2024-25
Résumé
Within safety science and risk research, there are recent calls to strengthen the foundations of the research field, focusing on the development of concepts, frameworks, and methods for identifying, analyzing, assessing, and managing risk and safety. Specifically, several leading scholars have identified a need for more focus on building empirical evidence for the validity of specific risk analysis and management approaches. This is important, because without validation of which methods and approaches work in what context, it is likely that organizational resources are wasted, and that risks are not effectively managed.
In light of this, the proposal aims to advance the scientific understanding of validity in risk research, focusing on risk in engineering systems, and particularly on risk analysis methods. Four sub-objectives are formulated. First, insights are gained in how risk analysis validity has been understood in the scientific literature, which is important to avoid misunderstanding when addressing this concept in the proposed research. Second, an analysis is made of which methods are used in risk analysis applications in the scientific literature, and which are suggested in risk management standards. This is important to make sure that research in the fourth objective addresses the most used methods, and connects with trends in risk research. Third, a generic framework is developed to evaluate the validity of risk analysis methods. This is the core aspect of the research proposal, which connects fundamental principles and ideas in risk research (risk concepts, accident theories) with ideas from system engineering and validation research, accounting for the results of the first research objective. Finally, the generic framework is made concrete for a selected number of risk analysis methods, through making validation procedures for specific risk analysis methods.
The proposed research combines theoretical work, focusing on advancing the fundamental basis of risk research for engineering systems, with practice-oriented work to develop procedures for validating risk analyses. This basic scientific work is necessary to serve as a basis for developing well-grounded risk analysis validation procedures. Future research with a more social science character will be needed to test these procedures with risk analysts and auditors, and to address social and organizational aspects of validation in a risk management context. In the long run, the proposed research program aims to improve organizational use of resources through empirical evidence of which risk analysis methods work better, for what type of systems, and in what kinds of organizational contexts. This can have positive economic implications for the organizations involved, give rise to new business opportunities for auditing companies, and generally to better risk management and safer engineering systems.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2019-05945
Name nom
Goerlandt, Floris
Department département
Industrial Engineering
Organization id
79
Institution établissement
Dalhousie University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2019
Award amount
65416
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Validation of risk analysis methods: foundations, framework, and procedures
Keywords
risk analysis; validation; foundational issues; risk analysis validation framework; risk analysis methods; risk analysis validation procedures; scientometrics; comprehensive review method; visual data mining; grounded theory
Application summary
Within safety science and risk research, there are recent calls to strengthen the foundations of the research field, focusing on the development of concepts, frameworks, and methods for identifying, analyzing, assessing, and managing risk and safety. Specifically, several leading scholars have identified a need for more focus on building empirical evidence for the validity of specific risk analysis and management approaches. This is important, because without validation of which methods and approaches work in what context, it is likely that organizational resources are wasted, and that risks are not effectively managed.
In light of this, the proposal aims to advance the scientific understanding of validity in risk research, focusing on risk in engineering systems, and particularly on risk analysis methods. Four sub-objectives are formulated. First, insights are gained in how risk analysis validity has been understood in the scientific literature, which is important to avoid misunderstanding when addressing this concept in the proposed research. Second, an analysis is made of which methods are used in risk analysis applications in the scientific literature, and which are suggested in risk management standards. This is important to make sure that research in the fourth objective addresses the most used methods, and connects with trends in risk research. Third, a generic framework is developed to evaluate the validity of risk analysis methods. This is the core aspect of the research proposal, which connects fundamental principles and ideas in risk research (risk concepts, accident theories) with ideas from system engineering and validation research, accounting for the results of the first research objective. Finally, the generic framework is made concrete for a selected number of risk analysis methods, through making validation procedures for specific risk analysis methods.
The proposed research combines theoretical work, focusing on advancing the fundamental basis of risk research for engineering systems, with practice-oriented work to develop procedures for validating risk analyses. This basic scientific work is necessary to serve as a basis for developing well-grounded risk analysis validation procedures. Future research with a more social science character will be needed to test these procedures with risk analysts and auditors, and to address social and organizational aspects of validation in a risk management context. In the long run, the proposed research program aims to improve organizational use of resources through empirical evidence of which risk analysis methods work better, for what type of systems, and in what kinds of organizational contexts. This can have positive economic implications for the organizations involved, give rise to new business opportunities for auditing companies, and generally to better risk management and safer engineering systems.