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Toward a domain-grounded AI collaborator with SciSciGPT

Nature Computational Science (2025)Cite this article

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We developed an open-source, prototype AI collaborator for the science of science (SciSci). Through a web-based chat interface, SciSciGPT orchestrates auditable, automated workflows for literature understanding and data processing, analytics, and visualization. The system accelerates early-stage idea exploration, prototyping, and iteration, while improving reproducibility and accessibility for SciSci researchers.

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Fig. 1: Overview of the SciSciGPT multi-agent system.

References

  1. Wang, D. & Barabási, A.-L. The Science of Science (Cambridge Univ. Press, 2021). This book presents a comprehensive overview of SciSci, an emerging interdisciplinary field.

  2. Lin, Z., Yin, Y., Liu, L. & Wang, D. SciSciNet: A large-scale open data lake for the science of science research. Sci. Data 10, 315 (2023). This article introduces SciSciNet, a large-scale open data lake for SciSci, and discusses a broad range of relevant domain research.

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Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

D.W. and E.S. used ChatGPT to help prepare their contribution to this Research Briefing.

This is a summary of: Shao, E. et al. SciSciGPT: advancing human–AI collaboration in the science of science. Nat. Comput. Sci. https://doi.org/10.1038/s43588-025-00906-6 (2025).

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Toward a domain-grounded AI collaborator with SciSciGPT. Nat Comput Sci (2025). https://doi.org/10.1038/s43588-025-00935-1

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