1156-Knowledge and Research Sustainability in the AI Era

Modern scientific research is facing a critical loss of knowledge due to the exclusion of negative results and the departure of expert personnel. To address this, the authors propose a move toward sustainable preservation strategies that include sharing null findings and improving digital documentation. They advocate for the integration of AI-powered tools to automate routine record-keeping and the use of community-driven standards to ensure data remain usable over time. A significant portion of the text highlights the need for new incentive structures from institutions and funders to reward researchers for thorough documentation. By fostering a culture of open science, the research community can minimize duplicated efforts and better navigate the complexities of big data. Ultimately, this perspective envisions an interconnected ecosystem where human expertise and intelligent machines collaborate to maintain a resilient record of scientific progress.References:Rainford, P.F., Occhipinti, A., Wang, B. et al. Knowledge preservation in the era of big science and AI: strategies for sustainable scientific research. Nat Commun 17, 4069 (2026). https://doi.org/10.1038/s41467-026-72667-3前往小宇宙评论区与主播互动