In the last 15 years, civil conflict has gradually become an important subject of study for empirical economists. As a result, conflict research has adopted many empirical methods from mainstream economics. Furthermore, there is now a broad consensus that violent political conflict and economic development are intertwined, and a fast-growing literature studies this relationship with micro-data. At the same time, applied research on conflict is increasingly embracing new empirical methods, such as RCTs, geospatial analysis using high-resolution satellite imagery, machine learning methods, big data applications, and the large-scale digitization of archival resources. Each of these research tools has strengths and limitations and is the subject of ongoing methodological debates.