Frequently asked questions about our new website and myACLED
Knowledge Base
Documentation on ACLED’s methodology, including how ACLED sources and codes information on political violence and protest.
General guides on how to use and access the latest ACLED data.
A selection of questions frequently asked by users of ACLED data.
A running log of the latest changes in the ACLED dataset.
Examples of how to use the various endpoints of the API, as well as detailed information on how to construct complex queries.
All guides
Use the filters below to find the relevant guides, or click here to search.
FAQ: ACLED’s new data structure, terms, and platforms
Frequently asked questions about ACLED's new data and platforms
Ukraine civilian infrastructure automated tags
This guide explains how ACLED codes and tags attacks on civilian infrastructure in Ukraine
Conflict Exposure methodology
Methodology detail for ACLED's Conflict Exposure measure and tool.
CAST methodology
The detailed methodology for ACLED's Conflict Alert System (CAST) includes information on access, how the model was constructed, and how to understand the results.
ACLED’s methodology on Ukraine civilian infrastructure automated tags
A guide to ACLED’s methodology for using automatically generated tags to track events that target or damage energy, health, education, and residential infrastructure in Ukraine.
How to Analyze ACLED’s Notes Column using Natural Language Processing (NLP)
Explore how to use NLP to analyze ACLED's ‘Notes’ column for extracting insights.
Overview of ACLED’s data enhancement projects and known data limitations
Consult this page to stay up-to-date on known data limitations and upcoming enhancements.
How does ACLED code and review data to ensure quality?
ACLED ensures data quality through a weekly coding and review process conducted by experienced researchers.
Philippines “war on drugs”
A guide on our decisions related to coding drug-related violence in the Philippines.
ACLED Methodology for Coding Boko Haram and ISWAP Factions
Detailed overview of the methodology for coding Boko Haram and ISWAP factions by ACLED.