Academic Section
Behavioral Data Science
Research in behavioral data science within the journal’s broader disciplinary scope.
Section scope
This section covers high-quality research where behavioral data science is a central part of the manuscript’s scholarly contribution. Work may be theoretical, methodological, empirical, computational, experimental or applied when it demonstrates clear novelty and disciplinary relevance.
Example topics include
- Methods, systems and applications in behavioral data science
- Novel theory, modelling or analytical approaches for behavioral data science
- Reproducible interdisciplinary research connected to behavioral data science
Normally not suitable
Routine or purely descriptive work without a clear scholarly, methodological or technical contribution.
Section editorial role
Section Editors oversee manuscripts within their subject area, select appropriate independent reviewers, assess revisions and make recommendations within the journal’s editorial workflow.
Does your manuscript fit this section?Review the author guidelines and journal policies before submission.
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