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      Platform and Data Co-Operatives amidst European Pandemic Citizenship

      Sustainability
      MDPI AG

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          Abstract

          Many European pandemic citizens will likely be unemployed during the COVID-19 crisis. This article explores whether it is possible to alter existing data governance extractivist models to incentivize the emergence of platform and data co-operatives to protect European pandemic citizens’ labor and digital rights. As such, this article aims to decipher the rationale behind the proliferation of platform and data co-operatives by responding to how new forms of co-operatives using digital technologies can provide feasible socio-economic alternatives to improve post-COVID-19 working conditions for vulnerable or already empowered pandemic citizens. This article is structured as follows. First, the European “pandemic citizenship” term is described. Second, the rationale of this article is consequently presented. Third, the research question, two hypotheses, and the action research triangulation are described. The deployment of the triangulation methodology based on action research, mixed methods and social innovation reveals the main findings through (i) Delphi study results, (ii) a taxonomy for platform and data co-operative cases, and ultimately, (iii) fieldwork research conducted in Glasgow, Barcelona and Tallinn. This article concludes that co-operatives (platform-based or data-driven), stemming from the potential resilient response of European pandemic citizens, may currently portray a feasible alternative to data governance extractivist models.

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          The politics of ‘platforms’

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            The role of artificial intelligence in achieving the Sustainable Development Goals

            The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI needs to be supported by the necessary regulatory insight and oversight for AI-based technologies to enable sustainable development. Failure to do so could result in gaps in transparency, safety, and ethical standards.
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              A New Algorithmic Identity

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                Author and article information

                Contributors
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                October 2020
                October 09 2020
                : 12
                : 20
                : 8309
                Article
                10.3390/su12208309
                6cd96085-2910-48a9-a0ea-865e3b3b4a85
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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