THE POLITICS OF BIOMETRIC TECHNOLOGIES: Borders control and the making of data citizens in Africa

Biometric technologies are complex hardware and software infrastructures that link biometric data such as fingerprints, iris scans, face scans, or DNA data with personal data. A handful of foreign private actors have implemented biometric solutions in more than half of African countries. This paper investigates the politics of biometric artifacts, it looks at how biometric data furnish the basis for the emergence and institutionalization of certain political discourses and power configurations. To this aim, we link the study of biometric data artifacts to the role of private contractors and the full-scale involvement of public institutions in the establishment of border control markets. The empirical context of the research is the work practices of the actors involved in the export of biometric technologies for border security solutions in Namibia. Preliminary findings suggest that the technological and political rationalities of biometric solutions introduce a set of novel problems in the making and management of data profiles. Border control as a political issue seems to be increasingly intermeshed with a logic of economic profit and technological efficiency raising questions of data justice and political accountability

Managing by data: algorithmic categories and organizing

Data and data management techniques increasingly permeate organizations and the contexts in which they are embedded. We conduct an empirical investigation of Last.fm, an online music discovery platform, with a view to unpacking the work of data and algorithms in the process of categorization. Drawing on Eleanor Rosch and her colleagues, we link the making of categories with the construction of basic objects that function as key filters or registers for perceiving and organizing the world and interacting with it. In contexts such as the ones we have studied, basic objects are made out of data rather than expert or community-based knowledge. In such settings, basic objects work as pervasive reality filters and as the entities on which other organizational objects and categories are built. As they diffuse, such objects and the categories they instantiate become naturalized, increasingly reconfiguring the social order of organizations and their environments as a data order. Once key organizational activities such as the making of objects and categorizing are rearranged by data and algorithms, organizations can no longer be framed as separate from the technologies they deploy

Organizations decentered: data objects, technology and knowledge

Data are no longer simply a component of administrative and managerial work but a pervasive resource and medium through which organizations come to know and act upon the contingencies they confront. We theorize how the ongoing technological developments reinforce the traditional functions of data as instruments of management and control but also reframe and extend their role. By rendering data as technical entities, digital technologies transform the process of knowing and the knowledge functions data fulfil in socioeconomic life. These functions are most of the times mediated by putting together disperse and steadily updatable data in more stable entities we refer to as data objects. Users, customers, products, and physical machines rendered as data objects become the technical and cognitive means through which organizational knowledge, patterns, and practices develop. Such conditions loosen the dependence of data from domain knowledge, reorder the relative significance of internal versus external references in organizations, and contribute to a paradigmatic contemporary development that we identify with the decentering of organizations of which digital platforms are an important specimen

Computational consumption: social media and the construction of digital consumers

The abundance of social data and the constant development of new models of personalized suggestions are rewriting the way in which consumption is experienced. Not only are consumers now immersed in an information mediated context - decoupled from physical and socio-cultural constrains - but they also experience other consumers and themselves differently, embracing the prescriptions of a technological medium made by algorithmic suggestions and software instructions. A single case study of a social shopping platform in its start up phase has served as the empirical object of this thesis. The company investigated represents a typical case in the field of data driven consumption. The case has been conducted following the company’s infrastructure design and implementation for over a year. The analysis of the case has revealed the distinctive computational logic embedded in the platform system. The system uses the data produced by user selection as representation of consumer choice. On this account it structures social and individual consumption patterns and computes personalized suggestion. This study shows that technological information and software systems disassemble traditional practices of consumption and reassemble consumers in new and unseen ways. The research investigates technology’s role as a medium, by exposing and deconstructing the processes through which data aggregation and personalization mechanics reconfigure discovery, selection and experience of fashion. This thesis illustrates how consumption is now produced on the basis of social data structuration and how consumers are constructed out of data assemblages. Consumers select products they are suggested to like or expected to buy reacting to what social media platforms construct, compute, and fed back to them. Personalization allows consumers to see themselves as individual against the background of a computed sociality. Ultimately thus, the study discusses the impact of computational consumption as individuation process, considering its implications for consumer identity articulation and marketing practices

The making of data commodities: data analytics as an embedded process

This paper studies the process by which data are generated, managed, and assembled into tradable objects we call data commodities. We link the making of such objects to the open and editable nature of digital data and to the emerging big data industry in which they are diffused items of exchange, repurposing, and aggregation. We empirically investigate the making of data commodities in the context of an innovative telecommunications operator, analyzing its efforts to produce advertising audiences by repurposing data from the network infrastructure. The analysis unpacks the processes by which data are repurposed and aggregated into novel data-based objects that acquire organizational and industry relevance through carefully maintained metrics and practices of data management and interpretation. Building from our findings, we develop a process theory that explains the transformations data undergo on their way to becoming commodities and shows how these transformations are related to organizational practices and to the editable, portable, and recontextualizable attributes of data. The theory complements the standard picture of data encountered in data science and analytics, and renews and extends the promise of a constructivist Information Systems (IS) research into the age of datafication. The results provide practitioners, regulators included, vital insights concerning data management practices that produce commodities from data

Platform Evolution: A Study of TripAdvisor

The recent commercial expansion of social media platforms challenges their origin as places of networking and community building and raises important questions as regards their status as institutional entities. After briefly reviewing the literature on platforms and ecosystems, we conduct a longitudinal case study of TripAdvisor. Our findings show the critical role networking and social data have historically played in positioning TripAdvisor as a hub in a vast digital travel ecosystem. At the same time, our analysis unravels the growing diversification of data types linked to the roles performed by different types of actors (e.g. end users, advertisers, business owners, online travel agencies). The shifting nature of these roles and the data types they produce largely account for the patterns of platform evolution and its market position

Objects, metrics and practices: an inquiry into the programmatic advertising ecosystem

Programmatic advertising is a large scale, real-time bidding process, whereby ads are automatically assigned to available spaces across types of media and geographic regions upon an individual user’s browser request. The large-scale automation of programmatic advertising requires the establishment of standards and the development of technologies to govern the behavior of market participants (sellers, buyers, intermediaries). We present evidence on the rules of programmatic exchange and on the role played by a specific class of digital objects. We focus in particular on the metrics to which these objects are linked and how they define what is exchanged and the parameters of these exchanges. We furthermore demonstrate that the metrics and the technological complexes associated with them are constituted by the institutional field of digital advertising and its complex technological infrastructure. Rather than being simply means to monitor a pre-existing reality ‘out there’ (such as user or audience behavior) these metrics and techniques bring forward their own reality and heavily impact upon and shape the objects and processes of digital advertising

Platforms as service ecosystems: lessons from social media

The growing business expansion of social media platforms is changing their identity and transforming the practices of networking, data and content sharing with which social media have been commonly associated. We empirically investigate these shifts in the context of TripAdvisor and its evolution since its very establishment. We trace the mutations of the platform along three stages we identify as search engine, social media platform and end-to-end service ecosystem. Our findings reveal the underlying patterns of data types, technological functionalities and actor configurations that punctuate the business expansion of TripAdvisor and lead to the formation of its service ecosystem. We contribute to the understanding of the current trajectory in which social media find themselves as well as to the literature on platforms and ecosystems. We point out the importance of services that develop as commercially viable and constantly updatable data bundles out of diverse and dynamic data types. Such services are essential to the making of the complementarities that are claimed to underlie ecosystem formation

Ten-month follow-up of patients with covid-19 temporally related multi-system inflammatory syndrome in children: the experience of the children hospital of Palermo

Background: In Sicily, the first wave of COVID-19 showed a low epidemic impact in paediatric population, while the second and the third waves had a higher impact on clinical presentation of COVID-19 in children and a significantly higher severe outcome in patients with multisystem inflammatory syndrome in children (MIS-C), with a frequent life-threatening progression. Methods: We describe a cohort of 22 Sicilian children (11 M; 11 F; age: 1.4-14 years), presenting with clinical features compatible with MIS-C. Patients with negative swab had a history of recent personal or parental infection. Results: The following diagnostic criteria were detected: fever (100%); cheilitis and/or pharyngeal hyperaemia (86%); latero-cervical lymphadenitis (82%); rash (73%); abdominal pain and/or vomiting and/or diarrhoea (64%); conjunctivitis (64%); hands and feet oedema (18%). 59% showed cardiac involvement (6 pericardial effusion; 8 mitral valve insufficiency; 4 insufficiency of two valves; 3 coronary artery lesions (CAL)). In all the patients, treatment was started within 72 h after the admission, with intravenous immunoglobulins (IVIG) (2 g/Kg/dose), methylprednisolone (2 mg/Kg/day in 73% of patients; 30 mg/Kg/day for 3 days, followed by 2 mg/Kg/day in 27% of patients). Two patients were treated with enoxaparin. Two patients with shock, were additionally treated with vasoactive drugs, albumin, diuretics. Cardiac involvement evolved into the complete resolution of lesions in most of the patients. All the patients were included in a follow-up, to investigate on clinical outcome and resolution of organ involvement. Cardiac valve insufficiency persisted only in 18% of children, CAL persisted only in 33% of children with coronary involvement, however without the evolution into aneurisms. Conclusions: The preferred treatment strategy was more aggressive at the diagnosis of MIS-C, to block the cytokine cascade. Most of our patients, in fact, received a first-line treatment with IVIG and steroids. This approach could explain the favourable prognosis, the rapid restoring of cardiac function also in patients with MAS or shock, and the good outcome during the 10 months follow-up in all the patients