Abstract: Artificial intelligence together with digital twins are transforming the built environment by enabling data-driven decision-making in a virtual replica of physical assets. However, the green retrofitting decision-making process is often convoluted by siloed data, complexities of stakeholder relationships and inherent risks. Drawing from her PhD project, Anson will share her research on how an Agentic AI-based digital twin platform can advance sustainability in the built environment. Key challenges, including data fragmentation, lack of standardized datasets and legacy infrastructure to adopting technologies in the construction industry will also be discussed. Additionally, this presentation will introduce LLM+, an AI research community co-founded by Anson and 4 other Cambridge PhD students to push forward AI4Science and organizational innovation. Founded in 2025, LLM+ now has 7000+ subscribers and 10+ research collaborators from the world's top universities. Apart from investigating human-AI-interaction research topics, LLM+ has applied AI frontier technologies to develop 3 award-winning prototypes and has forged academic-industry partnerships with companies such as, Alibaba, AWS and Deutsche Bank. Together, this seminar offers a glimpse into the transformative potential of digital technologies for creating a sustainable built environment.

报告内容：人工智能与数字孪生技术正在改变建成环境领域，使人们能够在物理资产的虚拟副本中进行数据驱动的决策。然而，绿色改造决策过程往往受到数据孤岛、利益相关方关系复杂性以及固有风险等因素的影响而变得错综复杂。基于其博士研究项目，Anson 将分享她关于基于智能体人工智能的数字孪生平台如何推动建成环境可持续发展的研究。本次报告还将讨论建筑行业在采用相关技术时面临的关键挑战，包括数据碎片化、标准化数据集缺乏以及传统基础设施限制等。此外，本次报告将介绍 LLM+，这是一个由 Anson 与另外 4 位剑桥大学博士生共同创立的人工智能研究社群，旨在推动 AI4Science 和组织创新。LLM+ 成立于 2025 年，目前已拥有 7000 多名订阅者，并与来自世界顶尖大学的 10 多位研究合作者开展合作。除探索人机交互相关研究议题外，LLM+ 还应用人工智能前沿技术开发了 3 个获奖原型，并与阿里巴巴、AWS 和德意志银行等企业建立了产学合作关系。总体而言，本次研讨会将展示数字技术在创造可持续建成环境方面的变革性潜力。

Speaker Bio: Anson Chan is a PhD student at the Department of Engineering, University of Cambridge. Her research focuses on digital technologies and sustainability in the built environment, including building information modeling (BIM), digital twin, and artificial intelligence (AI). During her undergraduate study here at the Hong Kong Polytechnic University, she was the most outstanding student at the Department of Building and Real Estate. She also received several prestigious awards, including HSBC Scholarship, For Our Future Scholarship and The Hong Kong Institute of Surveyors Scholarship. Before starting her PhD research at Cambridge, Anson worked as an Assistant Quantity Surveyor at Gammon Construction Limited, where she was involved in Hong Kong's largest Modular-integrated Construction (MiC) student hostel project with the City University of Hong Kong.

报告人简介：Anson Chan 是剑桥大学工程系博士研究生。她的研究聚焦于建成环境中的数字技术与可持续发展，包括建筑信息模型（BIM）、数字孪生和人工智能（AI）。本科期间，她就读于香港理工大学，并曾获建筑及房地产学系最杰出学生称号。她还获得过多项享有盛誉的奖项，包括汇丰奖学金、For Our Future 奖学金以及香港测量师学会奖学金。在前往剑桥开展博士研究之前，Anson 曾在金门建筑有限公司担任助理工料测量师，参与了香港最大型的组装合成建筑法（MiC）学生宿舍项目，该项目由金门建筑与香港城市大学合作建设。