Replication data for: Predicting the Duration of the Syrian Insurgency

DataONE2015-04-11 更新2024-06-27 收录

冲突预测

叙利亚叛乱

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https://search.dataone.org/view/sha256:702b2a4f212d8bb23e7f40f506e2d6510c3ac6c668d643bfa5edc2f52594405f 数据链接链接失效反馈

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资源简介：

Replication material for \"Predicting the Duration of the Syrian Insurgency.\"

创建时间：

2023-11-21

Replication Data for: 空间依赖与武装冲突预测

冲突预测

空间分析

武装冲突的分布呈现空间依赖特征,具有较高概率扩散至其邻近地区。但是,既有的冲突研究,尤其是冲突预测研究并没有对空间依赖特征进行充分利用,更忽略了影响冲突的因素在更加精细的空间层次上的互动,这也制约着冲突预测向更加精细化的方向发展。在大数据时代,关于冲突的空间依赖理论不断发展,以及冲突相关空间数据与空间分析方法不断更新,都为研究者实现理论与实证的有机结合提供了机会,使他们可以更好地利用冲突的空间依赖

DataONE2022-04-07 更新130

Replication Data for: I still haven't found what I'm looking for: Predicting conflict fatalities and security-related incidents with Google Trends and Wikipedia data

冲突预测

实时数据分析

Conflict forecasting has seen two recent developments: a shift to predicting continuous variables and a debate about the value of structural and procedural variables. This paper contributes to these e

DataONE2025-07-14 更新60

Replication data for: The perils of policy by p-value: Predicting civil conflicts

冲突预测

政策评估

Large-n studies of conflict have produced a large number of statistically significant results but little accurate guidance in terms of anticipating the onset of conflict. The authors argue that too mu

DataONE2015-04-11 更新60

Replication Data for: Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction

自然语言处理

冲突预测

Recent advancements in natural language processing (NLP) methods have significantly improved their performance. However, more complex NLP models are more difficult to interpret and computationally exp

DataONE2023-02-22 更新80

Incidence of Substate Violence on Temperature (Conditional Logistic Regression).

气候安全

冲突预测

*p < 0.05; **p < 0.01; ***p < 0.001 NOTE—All regressions include terrain and ethnic group controls and country-year fixed effects. Incidence of Substate Violence on Temperature (Conditional Logistic R

NIAID Data Ecosystem60

Replication data for: Predicting the Duration of the Syrian Insurgency

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