Service Description: The Armed Conflict Location & Event Data Project (ACLED) is a publicly available conflict event dataset designed for disaggregated conflict analysis and crisis mapping.
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Description: The Armed Conflict Location & Event Data Project (ACLED) is a publicly available conflict event dataset designed for disaggregated conflict analysis and crisis mapping. The dataset contains information on the dates and locations of all reported political violence events in over 50 developing countries, with a focus on Africa. The data is drawn from news reports, publications by civil society and human rights organisations, and security updates from international organisations.
An estimated 1.5billion people worldwide live in conflict-affected countries where repeated cycles of political and organised violence hinder development, reduce human security, and result in massive humanitarian suffering (World Bank, 2011). A core challenge in understanding and analysing the sudden onsets or spikes in political violence, or particular conflict actors, is situating these phenomena in the longer history and wider context of conflict in a given country or sub-national region over time.
The ACLED dataset can be used to inform evidence-based analysis and illustration of political conflict by journalists and conflict researchers. Almost all conflict-affected contexts are complex, volatile and affected by limited information and competing reports of activity. In seeking to understand, explain and analyse these complex scenarios, ACLED can help journalists and researchers:
Understand the levels of conflict in Africa, a region, a country, or sub-national location.
Identify patterns and levels of conflict over time.
Illustrate dynamics of particular conflict actors over time and space, for example, whether they increasingly or decreasingly target civilians; are active outside their historical strongholds, etc.
This short guide provides an introduction to the structure of the dataset, key terminology used, potential uses by humanitarian and development practitioners, and answers to frequently asked questions.
Supporting documentation, including the project Codebook (detailing the data collection and recording process), a general user guide, and working papers which explore sources
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