Chinese Academy of Sciences details its priorities for 2026-2030

On September 28, 2026, the Chinese Academy of Sciences detailed the directions for its institutional program for 2026-2030. The institution plans to strengthen artificial intelligence in support of basic research, strategic technologies and sustainable development.

This Academy-specific roadmap fits within the fifteenth national five-year plan for 2026-2030, reports the South China Morning Post. It is an institutional program distinct from the national plan.

Among the areas to support, the Academy cites integrated circuits, artificial intelligence, quantum technologies, life sciences and biotechnology. Brain-computer interfaces and controlled nuclear fusion also feature in this non-exhaustive list.

Connecting models to scientific data

The Academy has announced the strengthening of four groups of infrastructure for scientific AI. The Panshi scientific foundation model is intended to provide an artificial intelligence foundation for scientific applications. Research AI systems, called “intelligent scientist systems,” are also among the resources announced.

The other two groups are scientific corpora and scientific data centers. The corpora bring together the content and data that AI tools could draw on. The data centers are intended to provide the infrastructure to organize and use them. The complementary approach announced thus connects research tools with the documentary resources and data needed for their applications.

Panshi had already been announced on July 26, 2025, as documented by the Institute of Automation of the Chinese Academy of Sciences. The 2026-2030 program therefore plans to strengthen a previously announced model within a broader set of scientific resources.

If these shared resources are deployed and accessible, teams at the Academy’s institutes and their partners could more easily bring tools and data together for their projects.

A platform for allocating research resources

The Academy also plans an integrated, intelligent scientific management platform. A comprehensive, dynamically updated map is intended to bring together research capabilities, resource distribution and missions. The institution aims to coordinate teams with equipment and data to direct resource allocation toward major areas and missions.

The program also plans to move major scientific facilities and field observation stations toward more digital and connected uses. Data integration is to be accompanied by common standards and stronger protection.

This shared management approach could change the distribution of research resources. If their allocation relies more heavily on the platform and the Academy’s priorities, teams’ access could depend more closely on institutional decisions, with possible consequences for their scientific autonomy.

The public presentation does not specify the program’s own overall budget, the detailed deployment schedule or the conditions for actual access to the new systems.