Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices.

Computational social science Digital trace data Meta science Open science practices Passive-measurement Validity

Journal

EPJ data science
ISSN: 2193-1127
Titre abrégé: EPJ Data Sci
Pays: Germany
ID NLM: 101686785

Informations de publication

Date de publication:
2023
Historique:
received: 24 01 2023
accepted: 30 11 2023
medline: 15 12 2023
pubmed: 15 12 2023
entrez: 15 12 2023
Statut: ppublish

Résumé

Puberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity - and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows up, it must strike a balance between its own practices and those of neighboring disciplines to achieve scientific rigor and refine its identity. However, there are certain areas within CSS that are reluctant to adopt rigorous scientific practices from other fields, which can be observed through an overreliance on passively collected data (e.g., through digital traces, wearables) without questioning the validity of such data. This paper argues that CSS should embrace the potential of combining both passive and active measurement practices to capitalize on the strengths of each approach, including objectivity and psychological quality. Additionally, the paper suggests that CSS would benefit from integrating practices and knowledge from other established disciplines, such as measurement validation, theoretical embedding, and open science practices. Based on this argument, the paper provides ten recommendations for CSS to mature as an interdisciplinary field of research.

Identifiants

pubmed: 38098785
doi: 10.1140/epjds/s13688-023-00434-1
pii: 434
pmc: PMC10716103
doi:

Types de publication

Journal Article

Langues

eng

Pagination

58

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Competing interestsThe author declares no competing interests.

Auteurs

Timon Elmer (T)

Department of Psychology, Applied Social and Health Psychology, University of Zurich, Binzmühlestrasse 14/14, 8050 Zurich, Switzerland.

Classifications MeSH