Prof. Yiwei WANG, Renmin University of China, China
WANG Yiwei is Jean Monnet Chair Professor, Director of Institute of International Affairs at Renmin University of China. He is expert adviser of CCPIT Advisory Committee and Turkish TRT World Forum, the Council Member of China Center for International Economic Exchanges, CCIEE) and Chinese People’s Institute of Foreign Affairs (CPIFA), Non-resident Senior Fellow of Center for China and Globalization (CCG) . He was formerly diplomat at Chinese Mission to the European Union (2008-2011) and distinguished professor at Tongji University (2011-2013), professor of Center for American Studies at Fudan University (2001-2008), visiting professor of Yonsei University (2005) and Fox Fellow of Yale University (2000-2001). His recent books include Comparative Studies on China’s and EU’s Multilateralism: From Diplomatic Practice to Diplomatic Philosophy, Global Meanings of Chinese Modernization，The Children’s BRI Stories, China's Answer to the Question of the Time: Building a Global Community of Shared Future，An Interconnected World: China and the Belt and Road Initiative, China Connects the World: What Behind the Belt & Road Initiative (translated into 20 versions), New World Press, April. 2017; The Belt & Road Initiative: What China Will Offer the World in Its Rise (translated in 20 versions, both book of year 2015, 2016), Haishang: Revelations of European Civilization (both in Chinese and English) and China NATO Studies Series. Co-Editor-in-Chief of The Journal of Belt and Road Studies. He is Elsevier 2020-2025 Highly Cited Chinese Researchers. He delivered keynote speech on BRI at UNESCO headquarter and side event of UN General Assembly.
Title: BRI in the 15th Five Year Plan: From High Quality Development to Spillover Effect
Abstract: China’s 15th Five-Year Plan (2026–2030) marks a strategic upgrade of the Belt and Road Initiative (BRI), shifting the core logic of cooperation from large-scale infrastructure expansion in the initial decade to systematic high-quality development. Centered on the three connectivities—hard infrastructure, rules and standards, and people-to-people bonds—the Plan clarifies new priority areas including green, digital, innovative, and livelihood-oriented cooperation. Beyond bilateral project gains, high-quality BRI cooperation generates multi-layered economic, industrial, institutional and public welfare spillover effects for partner countries, the Global South and global economic governance. This paper sorts out the policy deployment of BRI in the 15th Five-Year Plan, analyzes the connotation and implementation paths of high-quality BRI development, and systematically elaborates on the multi-dimensional spillover mechanisms and practical manifestations of the upgraded BRI framework.
Prof. Robert M Davison, City University of Hong Kong, Hong Kong, China
Title: Research Ethics and Integrity Matter: A Journal Editor’s Perspective on Generative AI and other Issues
Abstract: In this seminar, I will explore in some depth the nature of research ethics and integrity, primarily from my perspective as a journal editor, and primarily with reference to Generative AI. Matters of integrity are always with us, especially in a research context where multiple stakeholders could be harmed if integrity is not upheld, yet also where there are many pressures acting upon us that might cause our integrity to slip. These include the now notorious publish-or-perish injunction, the desire to report something that didn’t actually happen (but should have happened), and the tendency to fabricate, even unconsciously, when writing fast. Less appreciated problems include inappropriate referencing (name dropping), and unfriendly reviewing. The current infatuation with Generative AI tools has added fresh fuel to the fire that threatens to consume our integrity and will accordingly be afforded more attention in this talk.
Prof. Xiu Lin, University of Minnesota Duluth, USA
Dr. Xiu’s scholarly work has been published in leading academic journals such as the British Journal of Industrial Relations, Journal of Total Rewards, International Journal of Manpower, Leadership & Organization Development Journal, Journal of Economic Psychology, and Personnel Review. She serves as Associate Editor for both the International Journal of Manpower (IJM) and Evidence-Based HRM (EBHRM).
Her academic impact extends beyond publications. She has led special journal issues, reviewed major research funding applications, and managed multiple externally funded grants. Through her consultancy and applied research, Dr. Xiu has contributed to improving organizational practices—such as wellness program design, leadership development and total reward compensation—and informing labor market policy development, including research on Paid Family and Medical Leave initiatives.
Title: Business in the Age of Generative AI: Human Judgment, Trust, and the Future of Work
Abstract: Generative AI is rapidly reshaping how people work, learn, communicate, and make decisions. While much attention has focused on its technical capabilities, the deeper organizational challenge is a business leadership challenge: how can business leaders integrate AI in ways that enhance human capability, preserve trust, and support business success? This project examines generative AI not simply as a tool for automation, but as a force that is changing the nature of work, leadership, and organizational responsibility. Drawing on research in management, leadership, and labor market change, the project highlights three central questions. First, how does generative AI alter the skills, roles, and expectations of employees and leaders? Second, how can leaders use AI to augment human judgment rather than weaken it? Third, what forms of trust, fairness, and care are needed as organizations redesign work around intelligent technologies? We argue that effective leadership in the AI era requires a human-centered approach that balances efficiency with employee engagement, and data-driven decision-making with ethical judgment. Leaders must become architects of responsible AI-enabled workplaces: helping employees adapt, reducing fear and uncertainty, and ensuring that AI strengthens rather than diminishes human dignity at work.