Search Results for Tag: LSE Impact

Emma Uprichard: Big Data and ‘Methodological Genocide’

As the final entry in the LSE Impact of Social Science blog’s Philosophy of Data Science series, Emma Uprichard tells interviewer Mark Carrigan that big data has serious repercussions to the kinds of social futures we are shaping — and those that are supporting big data developments need to be held accountable. Uprichard, associate professor and […]

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Crowdsourcing Raises Host of Methodological and Ethical Questions

Crowdsourcing offers researchers ready access to large numbers of participants, while enabling the processing of huge, unique datasets. However, the power of crowdsourcing raises several issues, including whether or not what initially emerged as a business practice can be transformed into a sound research method. Isabell Stamm and Lina Eklund argue that the complexities of managing large numbers of people mean crowdsourcing reduces participants to one faceless crowd. Applied to research, this is inherently problematic as it contradicts the basic idea that we control who participates in our studies. This not only challenges scientific rules of representativeness but also leaves methodological designs vulnerable to researchers’ implicit assumptions about the crowd.

Categories: Big Data, Editorial

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Excel Can Corrupt Research Data — Data Packages to the Rescue

Open Knowledge International’s Frictionless Data project aims to make sharing and using data as easy and frictionless as possible by improving how data is packaged. The project is designed to support the tools and file formats researchers use in their everyday work, including basic CSV files and popular data analysis programming languages and frameworks, like […]

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Sabina Leonelli: What Constitutes Trustworthy Data Changes Across Time and Space

As the penultimate entry in the LSE Impact of Social Science blog’s Philosophy of Data Science series, Sabina Leonelli and interviewer Mark Carrigan discuss the history of data-centric science and research practice and data’s relation to pre-existing and emerging social structures. Leonelli is associate director of the Exeter Centre for the Study of the Life Sciences […]

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Susan Halford: The Impact of Semantic Web Innovation

Last year The LSE Impact of Social Sciences blog saw sociologist, consulant and SAGE author Mark Carrigan interview a number of methods luminaries on the nature of ‘big data’ and the opportunities and challenges presented for scholarship with its growing influence in a series they called the Philosophy of Data Science Series. In this fourth interview, […]

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Deborah Lupton: Drawing on Liquid Metaphors for Big Data

Last year The LSE Impact of Social Sciences blog saw sociologist, consulant and SAGE author Mark Carrigan interview a number of methods luminaries on the nature of ‘big data’ and the opportunities and challenges presented for scholarship with its growing influence in a series they called the Philosophy of Data Science Series. In this third interview, […]

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Evelyn Ruppert: Social Consequences of Big Data Not Attended To

Last year The LSE Impact of Social Sciences blog saw sociologist, consulant and SAGE author Mark Carrigan interview a number of methods luminaries on the nature of ‘big data’ and the opportunities and challenges presented for scholarship with its growing influence in a series they called the Philosophy of Data Science Series. In this second interview with […]

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Rob Kitchin: Big Data Should Complement, Not Replace, Small Data

Last year The LSE Impact of Social Sciences blog saw sociologist, consulant and SAGE author Mark Carrigan interview a number of methods luminaries on the nature of ‘big data’ and the opportunities and challenges presented for scholarship with its growing influence in a series they called the Philosophy of Data Science Series. In this first interview […]

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