Individual skill

nature-human-behaviour

Use when targeting Nature Human Behaviour (Nat Hum Behav) or deciding whether a human behavioural science manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, preregistration culture, official-submission re-check, and desk-reject heuristics.

English-NaturalScience-Journal-Skills/skills/nature-human-behaviour/SKILL.md

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# Nature Human Behaviour (nature-human-behaviour)

## Journal positioning

Nature Human Behaviour, published by Springer Nature, covers the full breadth of human behavioural science — psychology, cognitive neuroscience, economics, sociology, political science, linguistics, and anthropology — when the study of behaviour is central and the advance is of broad significance across disciplines. It is distinctive among Nature family journals for its strong commitment to open science practices: preregistration, registered reports, large-N designs, and transparent reporting are explicit editorial values, not optional extras. The readership is intentionally cross-disciplinary — a result must be interpretable and meaningful beyond the home discipline of the submitting team. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on nature.com/nathumbehav.

## When to trigger

- The author names Nature Human Behaviour or Nat Hum Behav as the target venue.
- A behavioural science manuscript crosses disciplinary boundaries or uses a method from one field (e.g., computational modelling, neuroimaging, large-scale surveys) to answer a question of broad human-behaviour significance.
- The author is considering a preregistered study or registered report and wants to understand how these are handled by this journal.
- The author needs the journal's significance bar, preregistration policy, and desk-reject risks before submitting from psychology, economics, or cognitive neuroscience.

## Scope & topic fit
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