用AI把科研协作中的碎片信息连起来，让团队始终对齐目标。
Aleena: Alignment Agent for Research Software Engineering Collaborations
- 基于GitHub构建智能代理，自动整合聊天、会议、代码提交等多源信息
- 通过结构化记录保留决策脉络，减少团队认知偏差
- 适合科研团队协作、软件工程管理与跨角色沟通场景
科研软件协作涉及会议、非正式讨论、拉取请求和GitHub问题等多种形式。一个在Slack中提出的决策，经过会议讨论并最终在拉取请求中实现，可能在不同协作载体间丢失原始动机，导致领域研究人员与研究软件工程师对项目意图、责任归属和科学假设产生分歧。我们认为，研究软件工程中的对齐是一个持续的生命周期问题，而智能体式AI可辅助利益相关者对齐并跟踪项目状态，而不取代人类决策。本文提出Aleena——一个开源的生命周期对齐代理，以GitHub为共享协作界面，将多模态利益相关者互动转化为结构化的项目记录，揭示风险、追踪待决问题并保持决策连续性。该工作基于大学科研软件工程中心的实践经验，呈现了问题动因、系统设计、原型实现及代表性生命周期场景。
原文摘要 · Abstract (English)
Research software collaborations span meetings, informal chats, pull requests, and GitHub issues. A decision surfaced in a Slack thread, refined in a meeting, and implemented in a pull request can lose its original rationale across these artifacts, leaving domain researchers and research software engineers with divergent mental models of project intent, ownership, and scientific assumptions. We argue that alignment in research software engineering is a continuous lifecycle problem, and that agentic AI can support stakeholder alignment and project-state tracking without replacing human decision-making. We present Aleena, an open-source lifecycle alignment agent that uses GitHub as a shared collaboration surface, transforming multi-modal stakeholder interactions into structured project records that surface risks, track open questions, and preserve decision continuity. Grounded in university-based research software engineering center experiences, this paper presents the motivating problem, system design, prototype, and illustrative lifecycle scenarios for Aleena.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。