nature-machine-intelligence

Installation
SKILL.md

Nature Machine Intelligence (nature-machine-intelligence)

Journal positioning

Nature Machine Intelligence is a Springer Nature journal publishing research across machine learning, artificial intelligence, robotics, and their intersections with other sciences and society. It occupies the Nature-family tier, so the bar is not a strong ML method alone but a result with conceptual significance or real-world relevance that will interest researchers across AI and the sciences more broadly. The journal explicitly attends to societal impact, ethics, fairness, and the responsible development of AI — these are not boxes to tick but genuine editorial concerns. Papers that demonstrate a compelling application of AI to a scientific or societal problem alongside methodological rigor are a strong fit.

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 the Springer Nature site and the submission system.

When to trigger

  • The author names Nature Machine Intelligence or Nat Mach Intell as the target venue.
  • An ML or AI paper has strong conceptual novelty or a major real-world application and the author is choosing between this venue and specialized venues.
  • A paper applying AI to scientific discovery (biology, chemistry, physics, climate) needs framing for an interdisciplinary Nature-family audience.
  • The author wants to assess whether societal/ethics dimensions are adequately addressed and what desk-reject risks exist.

Scope & topic fit

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nature-machine-intelligence — brycewang-stanford/awesome-journal-skills