Titlebook: Handbook of Computational Social Science for Policy; Eleonora Bertoni,Matteo Fontana,Michele Vespe Book‘‘‘‘‘‘‘‘ 2023 The Rightsholder (if

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Guido Torzilli,Guido Costa,Florin Boteao perform tasks within jobs. Mitigating skills shortages in this dynamic world requires an adequate response from key stakeholders. However, recommendations derived from the traditional data sources, which lack granularity or are available with a significant time lag, may not address the emerging is

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Ultrasound-Guided Peripheral Nerve Blockse best use of the wealth of data and variety of models available to evaluate climate change policies. Here, we review the state of the art of numerical modelling and data science methods applied to policy evaluation. We emphasize that significant progress has been made but that critical social and e

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https://doi.org/10.1007/978-3-031-17562-6 Ws—what, who, when, and where—in order to understand the final “why” of disease. Anonymized digital trace data bring a new level of detail to contact networks, search engine and social media logs allow for the now-casting of symptoms and behaviours, and media sharing informs the formation of attitu

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Giovanni Serafini,Francesca Lacellis; and the increasing accessibility of hands-on software allow the domain of learning analytics to flourish. Learning analytics, as in interdisciplinary domain borrowing from statistics, computer sciences and education, exploits the increased accessibility of technology to foster an optimal learning

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Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challeet to translate into effective actions to strengthen public good in the form of policy insights and interventions. This chapter presents 20 limiting factors in how data is accessed and analysed in the field of CSS. The challenges are grouped into the following six categories based on their area of d

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Data Justice, Computational Social Science and Policyities and behaviour visible in ways that were not previously possible. This kind of analysis, however, often has unforeseen implications for those who are the subjects of the research. This chapter asks what a social justice perspective can tell us about the potential, and the risks, of this kind of

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The Ethics of Computational Social ScienceIt aims to provide CSS scholars, as well as policymakers and other stakeholders who apply CSS methods, with the critical and constructive means needed to ensure that their practices are ethical, trustworthy, and responsible. It begins by providing a taxonomy of the ethical challenges faced by resear