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The Critical Importance of Citizen Science Data [PDF]
Frontiers in Climate, 2021 Citizen science is an important vehicle for democratizing science and promoting the goal of universal and equitable access to scientific data and information. Data generated by citizen science groups have become an increasingly important source for scientists, applied users and those pursuing the 2030 Agenda for Sustainable Development. Citizen science
de Sherbinin, Alex +12 more
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Opening practice: supporting reproducibility and critical spatial data science [PDF]
Journal of Geographical Systems, 2020 AbstractThis paper reflects on a number of trends towards a more open and reproducible approach to geographic and spatial data science over recent years. In particular, it considers trends towards Big Data, and the impacts this is having onspatialdata analysis and modelling.
Chris Brunsdon, Alexis Comber
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Big Data and Data Science in Critical Care [PDF]
Chest, 2018 The digitalization of the health-care system has resulted in a deluge of clinical big data and has prompted the rapid growth of data science in medicine. Data science, which is the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting.
L. Nelson Sanchez-Pinto +2 more
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Data Science and Cities: A Critical Approach [PDF]
Harvard Data Science Review, 2020 Sensors increasingly permeate our lives and generate a plethora of data, which has transformed the way we live in cities. Planners have been using data-science to improve our understanding of urban issues. While other domains have highlighted concerns with big data collection, aggregation, and analytical methods to understand different phenomena, urban
Fábio Duarte, Priyanka deSouza
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Big Data & Society, 2022 Through a critical analysis of recent developments in the theory and practice of data science, including nascent feminist approaches to data collection and analysis, this commentary aims to signal the need for a transnational feminist orientation towards data science.
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Critical Data Studies and Data Science in Higher Education
Seminar.net, 2021 This paper discusses an explorative approach on strengthening critical data literacy using data science methods and a theoretical framing intersecting educational science and media theory. The goal is to path a way from data-driven to data-discursive perspectives of data and datafication in higher education. Therefore, the paper focuses on a case study,
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Big Data of Materials Science: Critical Role of the Descriptor [PDF]
Physical Review Letters, 2015 Accepted to Phys.
Ghiringhelli, L. +4 more
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From critical technical practice to reflexive data science
Convergence: The International Journal of Research into New Media Technologies, 2022 In this article, we reconsider elements of Agre’s critical technical practice approach ( Agre, 1997 ) for critical technical practice approach for reflexive artificial intelligence (AI) research and explore ways and expansions to make it productive for an operationalization in contemporary data science.
Simon David Hirsbrunner +2 more
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The epistemological foundations of data science: a critical review
Synthese, 2022 AbstractThe modern abundance and prominence of data have led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of ...
Jules Desai +4 more
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SAFETY DATA SCIENCE: BASIC FOUNDATIONS AND CRITICAL FACTORS
Proceedings on Engineering Sciences, 2022 This paper explores critical factors related to the application of data science in the field of safety and discusses plausive causes to explain why the herewith called safety data science (SDS) is still a distant reality in most organizations. To do that, existing literature was screened and inductive reasoning was used to identify potential barriers ...
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