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Based on the research, the authors identify how four key concepts in disaster studies—agency, local scale, memory and vulnerability—are interrupted, and how these interruptions offer new perspectives for doing disaster research from and for the South.

Meta-analysis of case studies and revision of past and current collaborations of authors with communities across Chile.

The findings suggest that agency, local scale, memory and vulnerability, as fundamental concepts for disaster risk reduction (DRR) theory and practice, need to allow for ambivalences, ironies, granularization and further materializations. The authors identify these characteristics as the conditions that emerge when doing disaster research from within the disaster itself, perhaps the critical condition of what is usually known as the South.

The authors contribute to a reflexive assessment of fundamental concepts for critical disaster studies. The authors offer research-based and empirically rich redefinitions of these concepts. The authors also offer a novel understanding of the political and epistemological conditions of the “South” as both a geography and a project.

The paper considers the phenomenon of Big Data through the work of Hannah Arendt on technology and on thinking. By exploring the nuance to Arendt’s critique of technology, and its relation to the social and political spheres of human activity, the paper presents a case for considering the richness of Arendt’s thought for approaching moral questions of Big Data. The paper argues that the nuances of Arendt’s writing contribute a sceptical, yet also hopeful lens to the moral potential of Big Data. The scepticism is due to the potential of big data to reduce humans to a calculable, and thus manipulatable entity. Such warnings are rife throughout Arendt’s oeuvre. The hope is found in the unique way that Arendt conceives of thinking, as having a conversation with oneself, unencumbered by ideological, or fixed accounts of how things are, in a manner which challenges preconceived notions of the self and world. If thinking can be aided by Big Data, then there is hope for Big Data to contribute to the project of natality that characterises Arendt’s understanding of social progress. Ultimately, the paper contends that Arendt’s definition of what constitutes thinking is the mediator to make sense of the morally ambivalence surrounding Big Data. By focussing on Arendt’s account of the moral value of thinking, the paper provides an evaluative framework for interrogating uses of Big Data.