The COVID-19 pandemic invites a question about how long-standing narratives of alterity and current narratives of disease are entwined and re-enacted in the diagnosis of COVID-19. In this commentary, we discuss two related phenomena that, we argue, should be taken into account in answering this question. First, we address the diffusion of pseudoscientific accounts of minorities’ immunity to COVID-19. While apparently praising minorities’ biological resistance, such accounts rhetorically introduce a distinction between “Us” and “Them,” and in so doing produce new (...) and re-enact old narratives of alterity. Second, these unsubstantiated narratives thrive on fake news and scarcity of data. The second part of this commentary thus surveys the methods through which the COVID-19 test is administered in various countries. We argue that techniques used for data collection have a major role in producing COVID-19 data that render contagion rates among migrants and other minorities invisible. In the conclusion, we provide two recommendations about how COVID-19 data can instead potentially work towards inclusion. (shrink)

This article introduces the concept of “alterity processing” to account for the simultaneous enactment of individual “Others” and emergent European orders in the context of migration management. Alterity processing refers to the data infrastructures, knowledge practices, and bureaucratic procedures through which populations unknown to European actors are translated into “European-legible” identities. By drawing on fieldwork conducted in Italy and the Hellenic Republic from 2017 to 2018, this article argues that different registration and identification procedures compete to legitimize different chains of (...) actors, data, and metadata as more authoritative than others. Competing procedures have governance implications, as well, with some actors being included and others being excluded. Furthermore, there is evidence that—despite procedural rigidities—applicants themselves propose alternative chains of actors, data, and metadata that are more meaningful to them. In this tension, it is not only the individual Other that is enacted but also specific bureaucratic orders cutting across old and new European actors and distinctive understandings of “Europe.” From a technology studies perspective, this article engages in a dialogue with the emergent debate on Hotspots, the scholarship about the infrastructural construction of Europe and political sociology. (shrink)

Integrating information systems has become a key goal for governments worldwide. Systems of “authentic registers,” for instance, provide government agencies with information from databases acknowledged as the only legitimate sources of data. Concerns are thus arising about the risks for democratic accountability constituted by more and more integrated governmental IS. Studies call for a new research agenda that investigates the redistribution of authority and accountability entailed by interoperable IS. This article contributes to this endeavor by suggesting the “vectorial glance” as (...) a research framework that works along two lines. First, by recovering the science and technology studies notion of “infrastructural inversion,” it looks at the technical minutiae of interoperability projects as strategic sites where institutional shifts—and eventually state transformation—can become visible. Second, by defining interoperability as a performative process of boundary reordering, it opens research to the possibility that institutional identities be reconstituted along different lines. Just as vector graphics are based on paths that lead through control points without being bound to underlying pixels, so the vectorial glance runs across boundaries without implicitly assuming that they are immutable and/or a priori relevant for the analysis. This article draws on a case study observed while working at a major project of civil registers integration in Italy. (shrink)

This article introduces the methodology of the ‘Ontology Explorer’, a semantic method and JavaScript-based open-source tool to analyse data models underpinning information systems. The Ontology Explorer has been devised and developed by the authors, who recognized a need to compare data models collected in different formats and used by diverse systems. The Ontology Explorer is distinctive firstly because it supports analyses of information systems that are not immediately comparable and, secondly, because it systematically and quantitatively supports discursive analysis of ‘thin’ (...) data models – also by detecting differences and absences through comparison. When applied to data models underpinning systems for population management, the Ontology Explorer enables the apprehension of how people are ‘inscribed’ in information systems: which assumptions are made about them, and which possibilities are excluded by design. The Ontology Explorer thus constitutes a methodology to capture authorities’ own imaginaries of populations and the ‘scripts’ through which they enact actual people. Furthermore, the method allows the comparison of scripts from diverse authorities. This is exemplified by illustrating its functioning with information systems for population management deployed at the European border. Our approach integrates a number of insights from early infrastructure studies and extends their methods and analytical depth to account for contemporary data infrastructures. By doing so, we hope to trigger a systematic discussion on how to extend those early methodical innovations at the semantic level to contemporary developments in digital methods. (shrink)