Niraj
kushwaha.bsky.social
Niraj
@kushwaha.bsky.social
PhD Candidate at @CSHVienna and @univienna | Physics Major from IIT Indore |
Armed Conflicts, Scaling, Complexity Science, Statistical Physics
Website : https://nirajkushwaha.github.io/
March 4, 2025 at 4:04 PM
we develop an empirical and bottom-up methodology to identify conflict types, knowledge of which can hurt predictability and cautions us about the limited utility of commonly available indicators. (6/6)
March 4, 2025 at 4:04 PM
Specifying conflict type negatively impacts the predictability of conflict intensity such as fatalities, conflict duration, and other measures of conflict size. The competitive effect is a general consequence of weak statistical dependence. Hence, (5/6)
March 4, 2025 at 4:04 PM
with little infrastructure and poor economic conditions. The three types stratify into a hierarchy of factors that highlights population, infrastructure, economics, and geography, respectively, as the most discriminative indicators. (4/6)
March 4, 2025 at 4:04 PM
Local conflicts are in regions of median population density, are diverse socio-economically and geographically, and are often confined within country borders. Finally, sporadic and spillover conflicts remain small, often in low population density areas, (3/6)
March 4, 2025 at 4:04 PM
we find three overarching conflict types representing "major unrest'' local conflict,'' and "sporadic and spillover events.'' Major unrest predominantly propagates around densely populated areas with well-developed infrastructure and flat, riparian geography. (2/6)
March 4, 2025 at 4:04 PM
We combine fine-grained conflict data with detailed maps of climate, geography, infrastructure, economics, raw demographics, and demographic composition in Africa. With an unsupervised learning model, (1/6)
March 4, 2025 at 4:04 PM
we develop an empirical and bottom-up methodology to identify conflict types, knowledge of which can hurt predictability and cautions us about the limited utility of commonly available indicators. (6/6)
March 4, 2025 at 3:39 PM
Specifying conflict type negatively impacts the predictability of conflict intensity such as fatalities, conflict duration, and other measures of conflict size. The competitive effect is a general consequence of weak statistical dependence. Hence, (5/6)
March 4, 2025 at 3:39 PM
with little infrastructure and poor economic conditions. The three types stratify into a hierarchy of factors that highlights population, infrastructure, economics, and geography, respectively, as the most discriminative indicators. (4/6)
March 4, 2025 at 3:39 PM
Local conflicts are in regions of median population density, are diverse socio-economically and geographically, and are often confined within country borders. Finally, sporadic and spillover conflicts remain small, often in low population density areas, (3/6)
March 4, 2025 at 3:39 PM
we find three overarching conflict types representing "major unrest'' local conflict,'' and "sporadic and spillover events.'' Major unrest predominantly propagates around densely populated areas with well-developed infrastructure and flat, riparian geography. (2/6)
March 4, 2025 at 3:39 PM
We combine fine-grained conflict data with detailed maps of climate, geography, infrastructure, economics, raw demographics, and demographic composition in Africa. With an unsupervised learning model, (1/6)
March 4, 2025 at 3:39 PM