Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices?
We presently witness a profound transformation of the configuration of biomedical practices, as characterized by an increasingly collective dimension, and by a growing reliance on disruptive technologies that generate large amounts of data. We also witness a proliferation of biomedical databases, of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Bologna – Dipartimento di Filosofia e Comunicazione
2014-07-01
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| Series: | Tecnoscienza |
| Subjects: | |
| Online Access: | https://tecnoscienza.unibo.it/article/view/17168 |
| _version_ | 1797349077836365824 |
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| author | Alberto Cambrosio Pascale Bourret Vololona Rabeharisoa Michel Callon |
| author_facet | Alberto Cambrosio Pascale Bourret Vololona Rabeharisoa Michel Callon |
| author_sort | Alberto Cambrosio |
| collection | DOAJ |
| description | We presently witness a profound transformation of the configuration of biomedical practices, as characterized by an increasingly collective dimension, and by a growing reliance on disruptive technologies that generate large amounts of data. We also witness a proliferation of biomedical databases, often freely accessible on the Web, which can be easily analyzed thanks to network analysis software. In this position paper we discuss how science and technology studies (S&TS) may cope with these developments. In particular, we examine a number of shortcomings of the notion of networks, namely those concerning: (a) the relation between agency and structural analysis; (b) the distinction between network clusters and collectives; (c) the (ac)counting strategies that fuel the networking approach; and (d) the privileged status ascribed to textual documents. This will lead us to reframe the question of the relations between S&TS and biomedical scientists, as big data offer an interesting opportunity for developing new modes of cooperation between the social and the life sciences, while avoiding the dichotomies – between the social and the cognitive, or between texts and practices – that S&TS has successfully managed to discard. |
| first_indexed | 2024-03-08T12:25:03Z |
| format | Article |
| id | doaj.art-33c920796e6d4c71ad0745ffe828b44e |
| institution | Directory Open Access Journal |
| issn | 2038-3460 |
| language | English |
| last_indexed | 2024-03-08T12:25:03Z |
| publishDate | 2014-07-01 |
| publisher | University of Bologna – Dipartimento di Filosofia e Comunicazione |
| record_format | Article |
| series | Tecnoscienza |
| spelling | doaj.art-33c920796e6d4c71ad0745ffe828b44e2024-01-22T10:27:45ZengUniversity of Bologna – Dipartimento di Filosofia e ComunicazioneTecnoscienza2038-34602014-07-0151114210.6092/issn.2038-3460/1716815527Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices?Alberto Cambrosio0Pascale Bourret1Vololona Rabeharisoa2Michel Callon3McGill UniversityAix-Marseille Université, UMR SESSTIMMines - ParisTechMines - ParisTechWe presently witness a profound transformation of the configuration of biomedical practices, as characterized by an increasingly collective dimension, and by a growing reliance on disruptive technologies that generate large amounts of data. We also witness a proliferation of biomedical databases, often freely accessible on the Web, which can be easily analyzed thanks to network analysis software. In this position paper we discuss how science and technology studies (S&TS) may cope with these developments. In particular, we examine a number of shortcomings of the notion of networks, namely those concerning: (a) the relation between agency and structural analysis; (b) the distinction between network clusters and collectives; (c) the (ac)counting strategies that fuel the networking approach; and (d) the privileged status ascribed to textual documents. This will lead us to reframe the question of the relations between S&TS and biomedical scientists, as big data offer an interesting opportunity for developing new modes of cooperation between the social and the life sciences, while avoiding the dichotomies – between the social and the cognitive, or between texts and practices – that S&TS has successfully managed to discard.https://tecnoscienza.unibo.it/article/view/17168big datanetwork analysispost-genomic medicinebio-clinical collectivesactor-network theory |
| spellingShingle | Alberto Cambrosio Pascale Bourret Vololona Rabeharisoa Michel Callon Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? Tecnoscienza big data network analysis post-genomic medicine bio-clinical collectives actor-network theory |
| title | Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? |
| title_full | Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? |
| title_fullStr | Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? |
| title_full_unstemmed | Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? |
| title_short | Big Data and the Collective Turn in Biomedicine. How Should We Analyze Post-genomic Practices? |
| title_sort | big data and the collective turn in biomedicine how should we analyze post genomic practices |
| topic | big data network analysis post-genomic medicine bio-clinical collectives actor-network theory |
| url | https://tecnoscienza.unibo.it/article/view/17168 |
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