24 An interdisciplinary team led by Prof Jingwei Alex He of the Division of Public Policy and Prof Sirui Han of the Division of Emerging Interdisciplinary Areas has developed HECO (Health Reform China Observatory), a specialized large language model designed for health policy analysis in China. The model was of cially presented at a high-pro le conference in Beijing on June 27, 2026, hosted jointly by the China Health Development Center and the School of Public Health at Peking University. HECO was built to deliver extensive and professional health policy analysis for the Chinese context and beyond. The model has been validated by approximately 30 stakeholder users across the Chinese health system, including local health of cials, hospital administrators, clinical leaders, physicians, health policy analysts, and industry practitioners. In blinded evaluation, HECO outperformed leading general-purpose large language models on all critical dimensions, including analytical accuracy, depth of reasoning, clarity of expression, citation of evidence, and experiential t. The Beijing conference was attended by senior of cials from the National Health Commission, local health authorities, of cial think tanks, clinical leaders, and peer researchers. HECO had been soft-launched on campus in March 2026 at an event attended by senior scholars from the World Health Organization, the University of Hong Kong, the Chinese University of Hong Kong, and local industry practitioners. The project re ects the team’s commitment to harnessing AI for evidence-informed policymaking and to strengthening health system governance through interdisciplinary collaboration. PPOL Prof.Alex Jingwei HE led a team to launch Specialized AI Model for Health Policy Analysis in China CONFERENCES AND EVENTS 23 Seminar Archive Prof. Luca Mora Professor of Urban Innovation Business School of Edinburgh Napier University, UK From Science to International Policy Development: Ten Years of Research to Reframe Technology Governance for Smart City Innovation In this talk, Prof. Luca Mora re ected on the fragmented governance challenges of smart cities and proposed a transition path from traditional government management to multi-stakeholder collaborative governance. It explored how to translate academic research into international policy tools to promote inclusivity and accountability in smart city development. Dr. Mengying WU Postdoctoral Fellow, Salata Institute for Climate and Sustainability, Harvard University Policy Interactions and the Cost of Decarbonizing Aviation In this seminar, Dr. Mengying WU focused on policy synergies in aviation decarbonization, analyzing how interactions between different emission reduction policies (e.g., carbon pricing, technical standards, market mechanisms) impact industry costs. It identi ed potential con icts and synergies in policy mixes, providing empirical evidence for designing ef cient and cost-effective decarbonization pathways in the aviation sector. Mr. Patrick Ho Head of Sustainable Development, Swire Properties & Member of Taskforce on Nature-related Financial Disclosures (TNFD) Beyond Carbon: Why Nature Risk Is Business Risk In this study, Mr. Patrick Ho used the TNFD framework to explain how biodiversity loss and ecosystem degradation translate into operational, reputational, and nancial risks for businesses. Drawing on Swire Properties' urban greening initiatives, it demonstrated how Nature-based Solutions (NbS) can create both ecological and commercial value. Prof. Siddharth Chatterjee Chief Executive Of cer, Global Neighbours Founding Co-Director, One Earth Institute Former UN Resident Coordinator in China Visiting Professor, Tsinghua University China, the Asia-Paci c, and the New Multilateralism: Leading Through Fragmentation In this talk, Prof. Siddharth examined the Asia-Paci c's role in advancing new multilateralism, analyzing how China and regional partners can build consensus through innovative cooperation mechanisms amid division, offering an Asia-Paci c perspective on global governance reform. CONFERENCES AND EVENTS
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