Using several data sources including an extensive database of media reports and a series of government documents, but relying primarily on the University of Delaware’s Disaster Research Center’s field research in the aftermath of Hurricane Katrina, the authors describe the nontraditional behavior that emerged in that catastrophe. They also discuss the prosocial behavior (much of it emergent) that was by far the primary response to this event, despite widespread media reports of massive antisocial behavior. Their study focuses on individual and group reactions in Louisiana during the first three weeks following the hurricane. The authors limit their systematic analyses of emergent behavior to five groupings: hotels, hospitals, neighborhood groups, rescue teams, and the Joint Field Office. Their analysis shows that most of the improvisations undertaken helped in dealing with the various problems that continued to emerge following Katrina. The various social systems and the people in them rose to the demanding challenges of a catastrophe.

The changing demographic landscape of the United States calls for a reassessment of the societal impacts and consequences of socalled "natural" and technological disasters. An increasing trend towards greater demographic and socio-economic diversity (in part due to high rates of international immigration), combined with mounting disaster losses, have brought about a more serious focus among scholars on how changing population patterns shape the vulnerability and resiliency of social systems. Recent disasters, such as the Indian Ocean Tsunami (2004) and Hurricane Katrina (2005), point to the differential impacts of disasters on certain communities, particularly those that do not have the necessary resources to cope with and recover from such events. This paper interprets these impacts within the context of economic, cultural, and social capital, as well as broader human ecological forces. The paper also makes important contributions to the social science disaster research literature by examining population growth, composition, and distribution in the context of disaster risk and vulnerability. Population dynamics (e.g., population growth, migration, and urbanization) are perhaps one of the most important factors that have increased our exposure to disasters and have contributed to the devastating impacts of these events, as the case of Hurricane Katrina illustrates. Nevertheless, the scientific literature exploring these issues is quite limited. We argue that if we fail to acknowledge and act on the mounting evidence regarding population composition, migration, inequality, and disaster vulnerability, we will continue to experience disasters with greater regularity and intensity.

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Network sought to close the quantitative literacy gap for sociology majors. Working with twelve departments, the project built on lessons learned from ASA's Minority Opportunities through School Transformation (MOST) Program, where curricular change was a departmental (not individual faculty) agenda. A critical mass of faculty in each IDA department developed and used quantitative modules in lower division courses. This article reports on the steps to develop departmental curricular change and the important results for student learning and future professional success.

The occurrence of a number of large-scale disasters or catastrophes in recent years, including the Indian Ocean tsunami (2004), the Kashmir earthquake (2005), Hurricane Katrina (2005) and Hurricane Ike (2008), have raised our awareness regarding the devastating effects of disasters on human populations and the importance of developing mitigation and preparedness strategies to limit the consequences of such events. However, there is still a dearth of social science research focusing on the socio-economic impact of disasters on businesses in the United States. This paper contributes to this research literature by focusing on the impact of disasters on business closure and relocation through the use of multivariate logistic regression models, specifically focusing on the Loma Prieta earthquake (1989) and Hurricane Andrew (1992). Using a multivariate model, we examine how physical damage to the infrastructure, lifeline disruption and business characteristics, among others, impact business closure and relocation following major disasters.