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    Emma Uprichard: Most big data is social data – the analytics need serious interrogation

Emma Uprichard: Most big data is social data – the analytics need serious interrogation

In the final interview in our Philosophy of Data Science series, Emma Uprichard, in conversation with Mark Carrigan, emphasises 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. This means we should also take stock of the methodological harm present in many big […]

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    Sabina Leonelli: “What constitutes trustworthy data changes across time and space”

Sabina Leonelli: “What constitutes trustworthy data changes across time and space”

The next installment of the Philosophy of Data Science series is with Sabina Leonelli, Principal Investigator of the ERC project, The Epistemology of Data-Intensive Science. Last year she completed a monograph titled “Life in the Digital Age: A Philosophical Study of Data-Centric Biology”, currently under review with University of Chicago Press. Here she discusses with Mark Carrigan the history of data-centric science […]

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    Noortje Marres: Technology and culture are becoming more and more entangled.

Noortje Marres: Technology and culture are becoming more and more entangled.

Mark Carrigan continues his investigation of data science with this latest interview with Noortje Marres on Digital Sociology. Growing digital awareness means lots of opportunities for collaboration between sociology and related fields and there is also a chance for sociologists to challenge the deeply-rooted narrative of a clash between technology and democracy.

This interview is part of an ongoing series on the Philosophy of […]

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    Susan Halford: “Semantic web innovations are likely to have implications for us all”

Susan Halford: “Semantic web innovations are likely to have implications for us all”

Co-director of the Web Science Institute, Susan Halford, responds to Mark Carrigan’s latest round of questions for our series on the philosophy of data science. In this feature she underlines the necessity of broad interdisciplinarity as well as further technical training to engage in depth with the web as it evolves in different ways. She argues Web Science must be a […]

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    Deborah Lupton: Liquid metaphors for Big Data seek to familiarise technology

Deborah Lupton: Liquid metaphors for Big Data seek to familiarise technology

Continuing our series on big data and its implications for research, Mark Carrigan talks to Deborah Lupton about how sociologists are involved in making sense of and positioning big data. The popularity of the topic provides a great chance for critical reflection on the creation and authority of big data. Also of interest to social researchers are the nature […]

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    Evelyn Ruppert: “Social consequences of Big Data are not being attended to”

Evelyn Ruppert: “Social consequences of Big Data are not being attended to”

For the second interview in our Philosophy of Data Science series, Mark Carrigan interviews Evelyn Ruppert on creating an interdisciplinary forum to discuss the major changes in our relations to data, as subjects, citizens and researchers. The journal Big Data and Society will investigate how data is generated as a part of everyday digital practice and how it is curated, categorised, cleaned, […]

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    Rob Kitchin: “Big data should complement small data, not replace them.”

Rob Kitchin: “Big data should complement small data, not replace them.”

Over the coming weeks we will be featuring a series of interviews conducted by Mark Carrigan on the nature of ‘big data’ and the opportunities and challenges presented for scholarship with its growing influence. In this first interview, Rob Kitchin elaborates on the specific characteristics of big data, the hype and hubris surrounding its advent, and the distinction between data-driven science and empiricism.

What […]

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