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  1.  15
    Emerging Models of Data Governance in the Age of Datafication.Anna Berti Suman, Max Craglia, Marisa Ponti & Marina Micheli - 2020 - Big Data and Society 7 (2).
    The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of personal data, other actors, such as small businesses, public bodies and civic society, take also part in data governance. The article sheds light on four models emerging from the practices of these actors: data sharing pools, data cooperatives, public data trusts and personal data sovereignty. We propose (...)
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  2. The Recent Past and Possible Futures of Citizen Science: Final Remarks.Josep Perelló, Andrzej Klimczuk, Anne Land-Zandstra, Katrin Vohland, Katherin Wagenknecht, Claire Narraway, Rob Lemmens & Marisa Ponti - 2021 - In Katrin Vohland, Anne Land-Zandstra, Luigi Ceccaroni, Rob Lemmens, Josep Perelló, Marisa Ponti, Roeland Samson & Katherin Wagenknecht (eds.), The Science of Citizen Science. Springer Verlag. pp. 517--529.
    This book is the culmination of the COST Action CA15212 Citizen Science to Promote Creativity, Scientific Literacy, and Innovation throughout Europe. It represents the final stage of a shared journey taken over the last 4 years. During this relatively short period, our citizen science practices and perspectives have rapidly evolved. In this chapter we discuss what we have learnt about the recent past of citizen science and what we expect and hope for the future.
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    Distributing Attention Across Multiple Social Worlds.Renate Fruchter & Marisa Ponti - 2010 - AI and Society 25 (2):169-181.
    Being a member of both local and global teams requires constant distribution and re-distribution of attention, engagement, and intensive communication over synchronous and asynchronous channels with remote and local partners. We explore in this paper the increasing number of social worlds such participants distribute their attention to, how this affects their level of engagement and attention, and how the workspace, collaboration technologies, and interaction modes afford and constrain the communicative events. The use of information and collaboration technologies (ICT) shapes and (...)
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    Narratives of epistemic agency in citizen science classification projects: ideals of science and roles of citizens.Marisa Ponti, Dick Kasperowski & Anna Jia Gander - forthcoming - AI and Society:1-18.
    Citizen science projects have started to utilize Machine Learning to sort through large datasets generated in fields like astronomy, ecology and biodiversity, biology, and neuroimaging. Human–machine systems have been created to take advantage of the complementary strengths of humans and machines and have been optimized for efficiency and speed. We conducted qualitative content analysis on meta-summaries of documents reporting the results of 12 citizen science projects that used machine learning to optimize classification tasks. We examined the distribution of tasks between (...)
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