2026年科学计算下一代生态系统研讨会报告：利用社区、软件与AI推进跨学科团队科学
Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
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中文总结 AI 辅助
本报告梳理2026年科学计算下一代生态系统研讨会成果，明确四大战略主题及八项社区行动优先事项，为AI时代构建可信可持续的科学计算生态系统指明方向。
中文摘要 AI 辅助
科学计算正经历快速变革，人工智能、异构计算、自动化及数据密集型研究的进步，不仅重塑了计算工具，还改变了支撑科学发现的机构、劳动力模式与协作实践。本报告综合了2026年科学计算下一代生态系统研讨会的见解，该研讨会是三年系列活动的第二届，旨在通过社会技术协同设计强化科学计算生态系统。研讨会讨论确定了四个相互关联的战略主题：面向AI赋能科学发现的软件生态系统、信任验证与可追溯性、人机协同与范式转变、劳动力教学法与治理。报告将这些主题转化为八项社区行动优先事项，涵盖共享研究基础设施、信任与可追溯性、用户体验、人机协同、劳动力发展、跨部门协调、管理与可持续性、科学价值评估。这些优先事项共同勾勒出构建科学计算生态系统的方向，使其在AI日益融入科学工作的过程中保持可信、可持续、创新且富有韧性。
英文摘要
Scientific computing is undergoing rapid transformation as advances in artificial intelligence, heterogeneous computing, automation, and data-intensive research reshape not only computational tools but also the institutions, workforce models, and collaborative practices that support scientific discovery. This report synthesizes insights from the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing, the second in a three-year series focused on strengthening scientific computing ecosystems through socio-technical co-design. Workshop discussions identified four interdependent strategic themes: software ecosystems for AI-enabled scientific discovery; trust, validation, and traceability; human-AI teaming and paradigm shifts; and workforce, pedagogy, and governance. The report translates these themes into eight priorities for community action spanning shared research infrastructure, trust and traceability, user experience, human-AI teaming, workforce development, cross-sector coordination, stewardship and sustainability, and evaluation of scientific value. Together, these priorities outline directions for building scientific computing ecosystems that remain trustworthy, sustainable, innovative, and resilient as AI assumes a growing role in scientific work.
