Social Data Science

Section scope

This section covers high-quality research where social 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 social data science
• Novel theory, modelling or analytical approaches for social data science
• Reproducible interdisciplinary research connected to social 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.