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  • 1
    Publication Date: 2022-12-22
    Description: Over the past decade, Mali has experienced both rising insecurity and significant climate change, leading to growing attention to the ways climate and conflict interact. However, in the absence of clear data and analysis, many discussions on this topic happen without evidence, creating the risk of instrumentalising discourse and continuing the current focus on militarisation. Guided by the Weathering Risk methodology and analytical framework, 2 this paper contributes to filling this gap, presenting qualitative and quantitative data analysis of climate security risks in the country
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 2
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    In:  Humanities and Social Sciences Communications
    Publication Date: 2023-10-18
    Description: Quantitative climate and conflict research has thus far considered the role of biophysical extreme weather impacts in conflict dynamics only to a limited extent. We do not fully understand if and if so how, extreme weather impacts can improve conflict predictions. Addressing this gap, we use the Generalized Random Forest (GRF) algorithm to evaluate whether detailed information on extreme weather impacts improves conflict forecasts made with well known conflict predictors such as socio-economic, governance, and history of conflict indicators. We integrate data on biophysical extreme weather impacts such as droughts, floods, crop production shocks, and tropical cyclones from the Inter-Sectoral Impact Model Intercomparison Project 2a (ISIMIP2a) project into predictive models of conflict in mainland Africa between 1994 and 2012. While we find that while extreme weather impacts alone predict violent conflicts modestly well, socio-economic and conflict history indicators remain the strongest individual predictors of conflicts. Finally, fully specified forecast models including conflict history, governance, and socio-economic variables are not improved by adding extreme weather impacts information. Some part of this can be explained by spatial correlations between extreme weather impacts and other socioeconomic and governance conditions. We conclude that extreme weather impacts do not contain any unique information for forecasting annual conflict incidence in Africa, which calls into question its usefulness for early warning.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 3
    Publication Date: 2024-02-01
    Description: This data archive contains the code for the corresponding paper as well as the processed data and results.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 4
    Publication Date: 2024-05-21
    Description: To address climatic risks to human security, various climate security risk assessment (CSRA) tools have been developed. We have systematically reviewed 28 such tools against state-of-the-art research to (i) define best practices in CSRAs, (ii) identify related gaps in these tools and derive recommendations on how to address them, and (iii) outline a policy-relevant research agenda. We suggest the following measures to improve CSRA tools: Global South actors need to be more strongly involved in priority setting, conceptualization, risk analysis, and intervention design. CSRA tools should offer geographically disaggregated analyses, transparently explain choices regarding tools’ temporal and geographical foci, and assess their implications for the evidence. In this regard, any type of sampling bias should be avoided. Mixed methods can offer clear advantages to study the context-specific climate security dynamics across different time scales. The main gaps in the tools’ conceptualizations evolve around comprehensive consideration of risk determinants (climatic hazards, exposure, and vulnerability) and complex climate–security linkages, communication of uncertainty, and implementation of validation routines. These factors need to be better accounted for. To advance CSRAs, future research should, for example, develop methodologies to systematically integrate quantitative and qualitative approaches, improve the performance of risk predictions, and develop conflict projections.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 5
    Publication Date: 2024-06-04
    Description: Quantitative climate mobility research has, so far, focused primarily on climate change impacts on migration outcomes. This focus has led to a separation between quantitative climate migration research and the broader field of migration studies. In this paper ways are proposed for quantitative research to better address the complexity in the relationship between climate change and mobility. First technical suggestions are presented to improve upon migration model setups and designs and highlight promising developments. Then it is argued that quantitative methodologies can broaden the scope of research inquiries by examining how climate mitigation and adaptation efforts influence mobility, as well as assessing how mobility itself impacts vulnerability.
    Language: English
    Type: info:eu-repo/semantics/article
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