Scholarship in international relations has taken a more quantitative turn in the past four decades. The field of foreign policy analysis was arguably the forerunner in the development and application of quantitative methodologies in international relations. From public opinion surveys to events data to experimental methods, many of the earliest uses of quantitative methodologies can be found in foreign policy analysis. On substantive questions ranging from the causes of war to the dynamics of public opinion, the analysis of data quantitatively has informed numerous debates in foreign policy analysis and international relations. Emerging quantitative methods will be useful in future efforts to analyze foreign policy.
Micah Dillard and Jon C.W. Pevehouse
Kyle Beardsley, Patrick James, Jonathan Wilkenfeld, and Michael Brecher
Over the course of more than four decades the International Crisis Behavior (ICB) Project, a major and ongoing data-gathering enterprise in the social sciences, has compiled data that continues to be accessed heavily in scholarship on conflict processes. ICB holdings consist of full-length qualitative case studies, along with an expanding range of quantitative data sets. Founded in 1975, the ICB Project is among the most visible and influential within the discipline of International Relations (IR). A wide range of studies based either primarily or in part on the ICB’s concepts and data have accumulated and cover subjects that include the causes, processes, and consequences of crises. The breadth of ICB’s contribution has expanded over time to go beyond a purely state-centric approach to include crisis-related activities of transnational actors across a range of categories. ICB also offers depth through, for example, potential resolution of contemporary debates about mediation in crises on the basis of nuanced findings about long- versus short-term impact with regard to conflict resolution.
Laura Bakkensen and Logan Blair
Flooding remains one of the globe’s most devastating natural hazards and a leading driver of natural disaster losses across many countries, including the United States. As such, a rich and growing literature aims to better understand, model, and assess flood losses. Several major theoretical and empirical themes emerge from the literature. Fundamental to the flood damage assessment literature are definitions of flood damage, including a typology of flood damage, such as direct and indirect losses. In addition, the literature theoretically and empirically assesses major determinants of flood damage including hydrological factors, measurement of the physical features in harm’s way, as well as understanding and modeling protective activities, such as flood risk mitigation and adaptation, that all co-determine the overall flood losses. From there, common methods to quantify flood damage take these factors as inputs, modeling hydrological risk, exposure, and vulnerability into quantifiable flood loss estimates through a flood damage function, and include both ex ante expected loss assessments and ex post event-specific analyses. To do so, high-quality data are key across all model steps and can be found across a variety of sources. Early 21st-century advancements in spatial data and remote sensing push the literature forward. While topics and themes apply more generally to flood damage across the globe, examples from the United States illustrate key topics. Understanding main themes and insights in this important research area is critical for researchers, policy-makers, and practitioners to better understand, utilize, and extend existing flood damage assessment literatures in order to lessen or even prevent future tragedy.