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Participative epistemology in social data science: combining ethnography with computational and statistical approaches.
- Source :
-
International Journal of Social Research Methodology . May2022, Vol. 25 Issue 3, p391-403. 13p. 2 Graphs. - Publication Year :
- 2022
-
Abstract
- In this paper, I introduce the notion of participative epistemology and discuss how it can contribute to make social data science more accountable. I do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By presenting here in greater detail research design and pilot results of a project using professional networking data to understand the careers of IT industry analysts, I suggest a view on the collaboration between data science and social science as coordinated labour. The application of participative epistemology to social data science is articulated in three points: (1) a more tactical view on the partnerships with commercial data where shared value system is not a pre-requisite for coordinated knowledge production; (2) an appreciation for complementarities in perspective between phenomenological sociology, expertise in computer science associated to digitalisation and the narrative positivism linked with the use of statistics and (3) a view on social data science as contributing empirical sociology with new sensitizing concepts, taking ethnography to reflectively address its own presuppositions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13645579
- Volume :
- 25
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- International Journal of Social Research Methodology
- Publication Type :
- Academic Journal
- Accession number :
- 156554003
- Full Text :
- https://doi.org/10.1080/13645579.2021.1892379