Thursday, September 29, 2011
New modelling results link natural resources and armed conflicts
Science Daily: The EU Joint Research Centre (JRC) has developed a statistical modelling tool which allows the risk of conflict occurrence in developing countries to be analysed. Combining online news reports with geographical satellite data, the tool establishes a link between natural resources and the risk of conflict. A key advance is the very detailed scale of the data (most being gathered to the square kilometre) and the fact that the modelling is based on the seriousness of the conflicts. When tested, the model successfully identified the correlation between resource-rich areas of land and occurrence of conflict.
This approach has potential use in the European Commission's development aid planning and crisis prevention.
Commissioner for Research, Innovation and Science, Máire Geoghegan-Quinn, said: "This new tool developed by European researchers at the JRC can make a decisive contribution to resource management and conflict prevention in developing countries. A better understanding of the factors and conditions that lead to tension and insecurity will mean better decisions on aid and crisis prevention mechanisms."
The model makes it possible to perform statistical comparisons between conflict events and geo-referenced datasets, such as those on natural resources (including mineral resources), land cover, distribution of population and economic activity, electrification rates, terrain and other geographical data....
This approach has potential use in the European Commission's development aid planning and crisis prevention.
Commissioner for Research, Innovation and Science, Máire Geoghegan-Quinn, said: "This new tool developed by European researchers at the JRC can make a decisive contribution to resource management and conflict prevention in developing countries. A better understanding of the factors and conditions that lead to tension and insecurity will mean better decisions on aid and crisis prevention mechanisms."
The model makes it possible to perform statistical comparisons between conflict events and geo-referenced datasets, such as those on natural resources (including mineral resources), land cover, distribution of population and economic activity, electrification rates, terrain and other geographical data....
Labels:
modeling,
planning,
prediction,
science,
war
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