Election-Related Violence Event Reports from Côte d'Ivoire and Kenya

Novel event report-level data from the MAVERICK dataset supports analysis of aggregation sensitivity in political violence research. The data was compiled by Sebastian van Baalen and published via the International Studies Quarterly Dataverse in March 2026. It is intended for methodological research on how aggregation choices affect analytical outcomes in international studies.

Use Cases

• Compare three distinct aggregation models (e.g., median, maximum, tailored models) on event report-level features.
• Analyze aggregation sensitivity by applying pre-existing research designs to event report-level data.
• Assess how aggregation choices for features like event count, agent, or mode affect conclusions on political violence.

Strengths

• Data compiled at the event report level, enabling granular analysis.
• Includes novel data from two distinct countries (Côte d'Ivoire and Kenya).
• Supports methodological research on aggregation sensitivity with three distinct models.

Limitations

• Specific row count, column list, and sample data are unavailable for assessment.
• Geographic coverage is limited to two countries, Côte d'Ivoire and Kenya.
• The dataset's primary focus is methodological, which may limit direct substantive applications.

Provenance

Source

Modes and Agents of Election-Related Violence in Côte d'Ivoire and Kenya (MAVERICK) dataset.

Collection Method

Compiled from multiple reports using systematic, replicable aggregation procedures.

Freshness

Last updated March 2026.

Geography

Côte d'Ivoire and Kenya.