
2026 Pujiang Innovation Forum Artificial Intelligence Empowering Scientific Research Special Forum was held in Shanghai
Gao Wen, an academician of the Chinese Academy of Engineering, proposed at the 2026 Pujiang Innovation Forum that China's scientific research system should "advance in four directions" by embracing iterative scientific research paradigms, reforming funding mechanisms, strengthening the closed loop of scientific research and manufacturing, and building AI scientific research infrastructure to gain advantages in the new round of scientific research competition.
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Academician Gao Wen delivered a keynote report at the 2026 Pujiang Innovation Forum Artificial Intelligence Empowerment Scientific Research Forum.
China News Service, Shanghai, September 13 (Reporters: Sun Zifa and Zheng Yingying) Gao Wen, academician of the Chinese Academy of Engineering and director of Pengcheng Laboratory, proposed on September 13 that China’s scientific research system should embrace an iterative scientific research paradigm, reform the scientific research funding mechanism, strengthen the “scientific research-manufacturing” closed loop, and build a “four-pronged” AI scientific research infrastructure to take advantage of the new round of scientific research competition.
The 2026 Pujiang Innovation Forum Artificial Intelligence Empowerment Scientific Research Special Forum was held in Shanghai that afternoon. Academician Gao Wen made the above remarks when delivering a keynote report via video link.
He proposed that in terms of embracing the iterative scientific research paradigm, we should break through the linear thinking of "paper only", promote application-driven basic research and interdisciplinary research, and achieve a two-way cycle iteration from theory to application, so that scientific research can truly serve the national strategic needs.
In terms of reforming the scientific research funding mechanism, we will build a diversified funding system of "quick response + long-term support + challenge rewards", fully delegate power to top scientists and mission-oriented teams, significantly streamline administrative procedures, reduce non-scientific research burdens, and use flexible mechanisms to adapt to the uncertainty of frontier exploration.
Strengthen the "scientific research-manufacturing" closed loop, break through the key blocking points in the transformation of laboratory results into advanced manufacturing, rely on the advantages of China's ultra-large-scale market and the entire industry chain, quickly transform technological "discoveries" into engineering "verification" and industrial "mass production" capabilities, and seize the leadership of technology implementation.
In terms of building AI scientific research infrastructure, we will coordinate computing clusters, scientific big data and automated experiment platforms, build a national-level AI scientific research base, use intelligent tools to reconstruct scientific research paradigms, accelerate the entire process from data mining, model deduction to experimental optimization, and build an independent and controllable innovation ecosystem.

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