From correlation to causation: Rethinking evidence in climate-conflict research
In this podcast episode, host Marina Mastrorillo speaks with Tilman Brück of the International Security and Development Center and Antonio Scognamillo of FAO about one of climate-conflict research’s toughest questions: how to distinguish correlation from causation. They unpack endogeneity, overlappi...
| Main Authors: | , , |
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| Format: | Audio |
| Language: | Inglés |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/180084 |
| _version_ | 1855528204446466048 |
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| author | Mastrorillo, Marina Tilman, Brück Scognamillo, Antonio |
| author_browse | Mastrorillo, Marina Scognamillo, Antonio Tilman, Brück |
| author_facet | Mastrorillo, Marina Tilman, Brück Scognamillo, Antonio |
| author_sort | Mastrorillo, Marina |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In this podcast episode, host Marina Mastrorillo speaks with Tilman Brück of the International Security and Development Center and Antonio Scognamillo of FAO about one of climate-conflict research’s toughest questions: how to distinguish correlation from causation. They unpack endogeneity, overlapping drivers like food security and migration, and the limits of econometrics. The discussion highlights why causal inference matters, when correlations are still useful, and how evidence can better support policy and early warning. |
| format | Audio |
| id | CGSpace180084 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1800842026-01-19T08:56:37Z From correlation to causation: Rethinking evidence in climate-conflict research Mastrorillo, Marina Tilman, Brück Scognamillo, Antonio climate change migration conflicts econometrics econometric models In this podcast episode, host Marina Mastrorillo speaks with Tilman Brück of the International Security and Development Center and Antonio Scognamillo of FAO about one of climate-conflict research’s toughest questions: how to distinguish correlation from causation. They unpack endogeneity, overlapping drivers like food security and migration, and the limits of econometrics. The discussion highlights why causal inference matters, when correlations are still useful, and how evidence can better support policy and early warning. 2025-12-10 2026-01-19T08:52:49Z 2026-01-19T08:52:49Z Audio https://hdl.handle.net/10568/180084 en Open Access Mastrorillo, M.; Tilman, B.; Scognamillo, A. (2025) From correlation to causation: Rethinking evidence in climate-conflict research. [Audio] CGIAR Climate Security. |
| spellingShingle | climate change migration conflicts econometrics econometric models Mastrorillo, Marina Tilman, Brück Scognamillo, Antonio From correlation to causation: Rethinking evidence in climate-conflict research |
| title | From correlation to causation: Rethinking evidence in climate-conflict research |
| title_full | From correlation to causation: Rethinking evidence in climate-conflict research |
| title_fullStr | From correlation to causation: Rethinking evidence in climate-conflict research |
| title_full_unstemmed | From correlation to causation: Rethinking evidence in climate-conflict research |
| title_short | From correlation to causation: Rethinking evidence in climate-conflict research |
| title_sort | from correlation to causation rethinking evidence in climate conflict research |
| topic | climate change migration conflicts econometrics econometric models |
| url | https://hdl.handle.net/10568/180084 |
| work_keys_str_mv | AT mastrorillomarina fromcorrelationtocausationrethinkingevidenceinclimateconflictresearch AT tilmanbruck fromcorrelationtocausationrethinkingevidenceinclimateconflictresearch AT scognamilloantonio fromcorrelationtocausationrethinkingevidenceinclimateconflictresearch |