While China’s Belt and Road Initiative (BRI) is widely recognized for its massive infrastructure and trade projects, a quieter, potentially more enduring form of influence is taking root across Central Asia: the development of robust knowledge and research networks. In Uzbekistan, this shift is particularly evident as the two nations increasingly prioritize scientific cooperation and academic integration.
A recent example of this deepening relationship occurred in October 2026, when the second meeting of the Uzbekistan-China Expert Council took place in Tashkent. Focused on "Digital Partnership: Artificial Intelligence and the Next-Generation Data Economy," the event highlighted how China is embedding itself into the region's scientific framework. These institutionalized meetings allow Chinese and Uzbek experts to align research priorities, set technological standards, and create shared mechanisms for long-term collaboration.
Economic ties remain a foundational element of the partnership. According to Uzbekistan’s Ministry of Foreign Affairs, bilateral trade reached $13.07 billion in 2024, with Uzbekistan importing $10.43 billion and exporting $2.64 billion worth of goods. However, the scope of the relationship has expanded significantly into knowledge production. In September 2025, the two governments formally linked the “Uzbekistan–2030” strategy with the BRI, creating a framework for cooperation in digital economy development and talent training.
Educational and research institutions are central to this strategy. By November 2025, the Ministry of Higher Education, Science, and Innovation reported the launch of 29 joint study programs between the two countries. Notable initiatives include the establishment of the Muhammad al-Khwarizmi International Mathematical Center at Urgench State University, a project developed in partnership with Peking University.
Beyond academics, China is investing in the laboratory infrastructure necessary to translate research into practical outcomes. Agreements have been reached to establish a food safety laboratory center in collaboration with a Chinese agricultural technology firm, while ongoing discussions involve the Tashkent Institute of Chemical Technology and Xi’an Petroleum University. During the seventh meeting of the Uzbekistan-China subcommission on science and technology, officials committed to expanding joint efforts in artificial intelligence, agricultural biotechnology, new materials, and green energy, as well as developing technology parks and research funds.
Intellectual property (IP) has also become a priority. In July 2026, China’s National Intellectual Property Administration and Uzbekistan’s Ministry of Justice signed a cooperation memorandum and a Patent Prosecution Highway agreement to streamline the review of patent applications. While these agreements facilitate closer cooperation, the actual volume of joint patents or licensed technologies remains difficult to track due to a lack of public, consolidated data.
As the partnership evolves, both nations are focusing on emerging technologies. Uzbekistan became a founding member of the World Artificial Intelligence Cooperation Organization in July 2026, and subsequent meetings between the Uzbek Ministry of Digital Technologies and Chinese officials have focused on AI rules, data security, and specialized training. While these agreements demonstrate clear ambition, observers note that measurable outcomes—such as published research, successful patent filings, and commercialized technology—are still in the early stages of development. As China promotes international co-authorship to expand its influence in global scientific databases, the long-term impact on the regional research agenda remains a subject for further study.
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The United States and European countries still play an important role in Uzbekistan’s universities and science ecosystem. A fair comparison would need the same kind of data for each partner: joint publications, citations, researcher exchanges, scholarships, jointly funded laboratories, patents, and links between universities and industry. This data should also be open to checking. It should state which database was used, how author affiliations were counted, which years were covered and when the data was collected. This article does not attempt such a comparison, but future studies should.
