We contribute to the debate surrounding comparative public policy (CPP) analysis as a method and an area of policy studies, based on the following questions: What is CPP? What is it for? How can it be conducted? We begin with a presentation of the historical evolution of the field, its conceptual heterogeneity, and the recent attempts to bridge the gap between basic and applied research through the policy design framework. We proceed with a discussion of the logics operating in CPP, their approaches to causality and causation, and their contribution to middle-range theory. Next, we explain the fundamental problems of the comparative method, starting with a revision of the main protocols in use, then presenting their main methodological pitfalls. The article concludes with a reflection about the contribution of CPP to policy studies through design.
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.
Steven R. Brown
Q methodology was introduced in 1935 and has evolved to become the most elaborate philosophical, conceptual, and technical means for the systematic study of subjectivity across an increasing array of human activities, most recently including decision making. Subjectivity is an inescapable dimension of all decision making since we all have thoughts, perspectives, and preferences concerning the wide range of matters that come to our attention and that enter into consideration when choices have to be made among options, and Q methodology provides procedures and a rationale for clarifying and examining the various viewpoints at issue. The application of Q methodology commonly begins by accumulating the various comments in circulation concerning a topic and then reducing them to a smaller set for administration to select participants, who then typically rank the statements in the Q sample from agree to disagree in the form of a Q sort. Q sorts are then correlated and factor analyzed, giving rise to a typology of persons who have ordered the statements in similar ways. As an illustration, Q methodology was administered to a diverse set of stakeholders concerned with the problems associated with the conservation and control of large carnivores in the Northern Rockies. Participants nominated a variety of possible solutions that each person then Q sorted from those solutions judged most effective to those judged most ineffective, the factor analysis of which revealed four separate perspectives that are compared and contrasted. A second study demonstrates how Q methodology can be applied to the examination of single cases by focusing on two members of a group contemplating how they might alter the governing structures and culture of their organization. The results are used to illustrate the quantum character of subjective behavior as well as the laws of subjectivity. Discussion focuses on the broader role of decisions in the social order.
Gary Ackerman and Douglas Clifford
Simulations are an important component of crisis preparedness, because they allow for training responders and testing plans in advance of a crisis materializing. However, traditional simulations can all too easily fall prey to a range of cognitive and organizational distortions that tend to reduce their efficacy. These shortcomings become even more problematic in the increasingly complex, highly dynamic crisis environment of the early 21st century. This situation calls for the incorporation of alternative approaches to crisis simulation, ones that by design incorporate multiple perspectives and explicit challenges to the status quo. As a distinct approach to formulating, conducting, and analyzing simulations and exercises, the central distinguishing feature of red teaming is the simulation of adversaries or competitors (or at least adopting an adversarial perspective). In this respect, red teaming can be viewed as practices that simulate adversary or adversarial decisions or behaviors, where the purpose is informing or improving defensive capabilities, and outputs are measured. Red teaming, according to this definition, significantly overlaps with but does not directly correspond to related activities such as wargaming, alternative analysis, and risk assessment. Some of the more important additional benefits provided by red teaming include the following: ▪ The explicit recognition and amelioration of several cognitive biases and other critical thinking shortfalls displayed by crisis decision makers and managers in both their planning processes and their decision-making during a crisis. ▪ The ability to robustly test existing standard operating procedures and plans at the strategic, operational, and tactical levels against emerging threats and hazards by exposing them to the machinations of adaptive, creative adversaries and other potentially problematic actors. ▪ Instilling more flexible, adaptive, and in-depth sense-making and decision-making skills in crisis response personnel at all levels by focusing the training aspects of simulations on iterated, evolving scenarios with high degrees of realism, unpredictability through exploration of nth-order effects, and multiple stakeholders. ▪ The identification of new vulnerabilities, opportunities, and risks that might otherwise remain hidden if relying on traditional, nonadversarial simulation approaches. Key guidance in conducting red teaming in the crisis preparedness context includes avoiding mirror imaging, having clear objectives and simulation parameters, remaining independent of the organizational unit being served, judicious application in terms of the frequency of red teaming, and the proper recording and presentation of red-teaming simulation outputs. Overall, red teaming—as a specific species of simulation—holds much promise for enhancing crisis preparedness and the crucial decision-making that attends a variety of emerging issues in the crisis management context.