Two international expert groups attended the meeting: the International Examiners Panel and the SAINUP Project International Experts.

International Examiners Panel:

1.Prof. Oliver Günther, Member of acatech – German National Academy of science and Engineering

2.Prof. Lutz Heuser, Member of acatech

3.Prof. Stefan Decker, Member of the Irish Royal Academy of Engineering

4.Prof. Stefan Wrobel, Member of the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts

5.Prof. Christoph Plass, Co-lead of the acatech initiative on “IT Platforms for the Smart Service World”

6. Prof. Sue Schwartz, President of the American Planning Association (APA)

7. Prof. Zhong-Ren Peng, Professor at the University of Florida

8. Prof. John D. Landis, Professor at the University of Pennsylvania

Project International Experts

1.Prof. Max Mühlhäuser, Member of acatech

2.Prof. Helge Ritter, Member of acatech

3.Prof. Anthony G. Cohn, Fellow of the Royal Academy of Engineering

4. Prof. Klaus-Dieter Thoben, Member of acatech

5. Prof. Lucas Noldus, Member of the Netherlands Academy of Engineering

Attendees also included Zhenhua Chen, President of the International Association for China Planning (IACP), Jie Gao, Officer of the Shanghai International Cooperation Division, Shanghai Talent Bureau; the Tongji University President Jinlong Yang, Vice President Xiangning Li, and Fengshou Zhang, Deputy Director of the Human Resources Office. CAUP Chair Zhendong Wang, Dean Philip F. Yuan, college vice deans, department heads, discipline professors and core SAINUP researchers were also present. Dean Philip F. Yuan chaired the meeting. Dual leading Academicians Zhiqiang Wu and Otthein Herzog presented the project's complete research framework and practical application outcomes together with core team members.

President Jinlong Yang delivered opening remarks, welcoming global experts and congratulating Academician Otthein Herzog on winning the International Science and Technology Cooperation Award of the PRC. He affirmed the project's technical breakthroughs and international cooperation layout, and expected the panel to polish the CityAI system from a global perspective and boost cross-border research and global application of project achievements.

During academic exchanges, overseas academicians raised targeted questions on algorithm design, cross-city scenario adaptation, international standard alignment and limits of the number of Ultra Agents . After collective discussion, the panel finalized an official written review resolution. Prof. Oliver Günther presided over the document signed by all examiners.

The panel reached a unified conclusion: SAINUP delivers pioneering research driving AI-enabled urban planning worldwide, with overall outcomes reaching an internationally leading level. CityAI creates a computable, dynamically simulative and self-updating intelligent planning framework that breaks the limits of experience-driven planning.

The panel acknowledged the project's solid research foundation and outstanding data integration capacity, yet pointed out remaining challenges in LLM adaptation. Formal proofs are viable within limited scenarios, and 4D spatio-tempporal analysis datasets can be expanded by combining LLMs and symbolic knowledge.

Key technical suggestions were put forward: advance Ultra Agent core research, strengthen formal reasoning, study solution optimality amid conflicting planning demands, guard against AI and LLM algorithm bias, expand simulation tools and integrate personal AI assistants, to build an open global urban AI innovation ecosystem and export China's original spatial theories and technologies.

Two long-term strategic recommendations were released:

1. Secure sustained research funding to launch follow-up projects for scalability, recruit practicing planners to expand large-scale application cases, and generate original fundamental innovations.

2. Establish regular strategic partnerships at a global level with CAETS, optimize industry-university-research mechanisms, deploy AI technologies in zoning review and project approval workflows, and define clear standards to measure AI fairness and optimality as a neutral mediator among city planning stakeholders.

Academician Zhiqiang Wu responded on behalf of the SAINUP team, expressing gratitude for all professional comments. The team will fully absorb all suggestions, tackle bottlenecks including Ultra Agent and LLM adaptation, advance follow-up research, expand cross-border industry-university-research cooperation and accelerate large-scale technical rollout to fuel global intelligent urban planning.