Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks
The future of conflict and food security analysis depends on moving beyond isolated datasets to embrace integrated, multi-dimensional insights. This study presents an innovative approach to integrating conflict event data from multiple sources, utilising a customised version of the Matching Event...
| Main Authors: | , , , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/158475 |
| _version_ | 1855524078782251008 |
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| author | Douglas, Wesley Basel, Ashleigh Minoarivelo, Onivola Craparo, Alessandro Pacillo, Grazia Laderach, Peter |
| author_browse | Basel, Ashleigh Craparo, Alessandro Douglas, Wesley Laderach, Peter Minoarivelo, Onivola Pacillo, Grazia |
| author_facet | Douglas, Wesley Basel, Ashleigh Minoarivelo, Onivola Craparo, Alessandro Pacillo, Grazia Laderach, Peter |
| author_sort | Douglas, Wesley |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The future of conflict and food security analysis depends on moving beyond
isolated datasets to embrace integrated, multi-dimensional insights. This
study presents an innovative approach to integrating conflict event data
from multiple sources, utilising a customised version of the Matching Event
Data by Location, Time, and Type (MELTT) framework and the Validation and
Exploration of the Hierarchical Integration of Conflict Event Data (VEHICLE)
methodology. The analysis focuses on regions monitored by the Famine
Early Warning System and Global Fragility Act priority countries, aiming to
improve vulnerability frameworks within fragile regions. The resulting
enhanced regional conflict datasets offer a more comprehensive
understanding of conflict dynamics and are a valuable tool for organisations,
supporting more effective crisis response and conflict impact assessments. |
| format | Informe técnico |
| id | CGSpace158475 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1584752025-12-08T10:11:39Z Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks Douglas, Wesley Basel, Ashleigh Minoarivelo, Onivola Craparo, Alessandro Pacillo, Grazia Laderach, Peter food security conflicts adaptation research The future of conflict and food security analysis depends on moving beyond isolated datasets to embrace integrated, multi-dimensional insights. This study presents an innovative approach to integrating conflict event data from multiple sources, utilising a customised version of the Matching Event Data by Location, Time, and Type (MELTT) framework and the Validation and Exploration of the Hierarchical Integration of Conflict Event Data (VEHICLE) methodology. The analysis focuses on regions monitored by the Famine Early Warning System and Global Fragility Act priority countries, aiming to improve vulnerability frameworks within fragile regions. The resulting enhanced regional conflict datasets offer a more comprehensive understanding of conflict dynamics and are a valuable tool for organisations, supporting more effective crisis response and conflict impact assessments. 2024-10-29 2024-11-04T09:40:01Z 2024-11-04T09:40:01Z Report https://hdl.handle.net/10568/158475 en Open Access application/pdf Douglas, W.; Basel, A.; Minoarivelo, O.; Craparo, A.; Pacillo, G.; Laderach, P. (2024) Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks. Rome (Italy) CGIAR Focus Climate Security. 27 p. |
| spellingShingle | food security conflicts adaptation research Douglas, Wesley Basel, Ashleigh Minoarivelo, Onivola Craparo, Alessandro Pacillo, Grazia Laderach, Peter Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title | Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title_full | Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title_fullStr | Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title_full_unstemmed | Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title_short | Integrating conflict data for enhanced analysis: A multi-source approach to support vulnerability frameworks |
| title_sort | integrating conflict data for enhanced analysis a multi source approach to support vulnerability frameworks |
| topic | food security conflicts adaptation research |
| url | https://hdl.handle.net/10568/158475 |
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