The Agentic R&D Decalogue: Ten Principles for Human-Agent Collaboration in Scientific Research

This paper proposes a decalogue for agentic R&D: ten principles for human-agent collaboration that preserve scientific integrity, accelerate discovery, and distribute the benefits of AI-assisted research equitably.

Authors

Francisco-Javier Rodrigo-Ginés (ORCID: https://orcid.org/0000-0001-6235-6860)

Institutions

Open Geospatial Consortium (US)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-04-25
DOI: https://doi.org/10.5281/zenodo.19151515
Primary Topic: Reinforcement Learning in Robotics
Type: article
Field-Weighted Citation Impact: 0.00

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article

The Agentic R&D Decalogue: Ten Principles for Human-Agent Collaboration in Scientific Research

Francisco-Javier Rodrigo-Ginés

Apr 25, 2026

Zenodo (CERN European Organization for Nuclear Research)

Reinforcement Learning in Robotics

article

The Agentic R&D Decalogue: Ten Principles for Human-Agent Collaboration in Scientific Research

Francisco-Javier Rodrigo-Ginés

April 25, 2026article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Open Geospatial Consortium (US)

Openalex Percentile: Top 45%

Reinforcement Learning in Robotics

DOI Open Access PDF OpenAlex

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