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The overall ACE project is motivated by the need to better understand the behaviour of non-state armed groups in perpetrating atrocity crimes such as crimes against humanity, ethnic cleansing and war crimes. The data collection is based on six countries Central African Republic, the Democratic Republic of Congo, Iraq, Nigeria, Syria, and Somalia with a focus on non-state actor perpetrated atrocity events. The aim is to have a fine-grained event data collection of different types of atrocity crimes in these countries. These event types are derived from the Rome Statute. More specifically, the unit of observation in ACE is the event where a named state or non-state actor is involved on a given day in a specific location. Each individual event is covered with the best precision regarding the type of event, location, perpetrator and victims.Since 2010, there has been a 'dramatic resurgence' of violent conflict around the world (United Nations, 2018, p. v). As part of this trend, mass atrocity crimes, defined as genocide, war crimes, crimes against humanity, and ethnic cleansing (GWCE), have become 'the new normal' (Human Rights Watch 2018). At this time of writing, the Global Centre for the Responsibility to Protect (GCR2P) identifies seven countries that are 'currently' experiencing GWCE, three at 'imminent risk', seven of 'serious concern', and thirteen being 'monitored' because they have experienced GWCE in the recent past (Global Centre for the Responsibility to Protect 2019). These crises have seen millions of people killed, tens of thousands raped, and underpin an unprecedented refugee crisis. Although mass violence is not a new phenomenon, non-state armed groups such as Al Qaeda, Islamic State, Boko Haram, Lord's Resistance Army, and Al-Shabaab are increasingly playing a critical role in the perpetration of atrocity crimes leading to key policymakers calling for urgent research on this specific threat (see case for support).
Responding to this new reality,...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
Not available
Country
Central African Republic, The Democratic Republic of Congo, Iraq, Nigeria, Somalia, Syria
Time dimension
Not available
Analysis unit
Event/process
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Geospatial
Data collection mode
The data collection methodology is based on coding news reports extracted from LexisNexis. The extraction of news reports from LexisNexis has been narrowed down by using specific search terms for each event type, including the countries in this project. The focus is primarily on English language sources and where necessary, the geography filter is used to narrow down results based on the location of the event. Once a set of news reports have been identified from Lexis Nexis, the coders skim through the reports based on headlines/short descriptions and select to read through the ones that seem to constitute an event (as opposed to, for example, reports about UN meetings to discuss atrocities etc.). The coders then write a short description of the event on the dataset and code the rest of the variables in the dataset with best precision possible.The coding of the events is based on ACE codebook and is conducted by human coders, each specialising in one of the countries in question.
Funding information
Grant number
ES/V000292/2
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 2 July 2025 and the data will then be available in accordance with the access level selected.