The locus of legitimate interpretation in Big Data sciences: Lessons for computational social science from -omic biology and high-energy physics
- Submitting institution
-
Brunel University London
- Unit of assessment
- 21 - Sociology
- Output identifier
- 032-185376-21899
- Type
- D - Journal article
- DOI
-
10.1177/2053951718768831
- Title of journal
- Big Data And Society
- Article number
- 205395171876883
- First page
- -
- Volume
- 5
- Issue
- 1
- ISSN
- 2053-9517
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- URL
-
https://journals.sagepub.com/doi/10.1177/2053951718768831
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
2 - Bodies, Technologies & Conflict
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
