A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 441
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2016.05.005
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 141
- Volume
- 60
- Issue
- -
- ISSN
- 1873-6793
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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-
- Citation count
- 50
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithms in this work were implemented in AgenaRisk - the Bayesian network software which has over 10,000 commercial and academic users (a REF2021 UOA11 impact case study). The method has been adopted by ICRAF (World Agroforestry Centre , Nairobi, Kenya) to evaluate projects in developing countries running to billions of USD (contact: Keith Shepherd K.SHEPHERD@CGIAR.ORG). It has led to new collaborations with parts of the World Agroforestry Centre and the Hacettepe University, Turkey resulting in further developments such as 10.1016/j.ijar.2018.01.006 which have also been incorporated into AgenaRisk and used by ICRAF.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -