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拆解上海未来产业作战图:一座城市的创新飞轮正在加速
Core Viewpoint - Shanghai has issued measures to accelerate the innovation of cutting-edge technologies and the cultivation of future industries, defining "future industries" as emerging sectors in their nascent or early industrialization stages, which are crucial for enhancing global competitiveness [1][2] Mechanism - Shanghai has established a "four-in-one" mechanism to integrate innovation resources and streamline the industrial chain, which includes project management teams, a task list for key objectives, a future industry fund, and support from future industry clusters [2][3] - The project management teams are designed to be a high-quality, professional force tailored for future industry cultivation, while the task list serves as a "battle map" to clarify development priorities [2][3] Capital - A future industry fund with a total scale of approximately 15 billion yuan has been set up, focusing on disruptive innovation and interdisciplinary technologies [3][5] - The future industry fund has completed investment decisions for 18 sub-funds and plans to invest in 20-30 sub-funds this year, targeting areas such as controllable nuclear fusion and quantum computing [6][7] Spatial Development - Shanghai is constructing future industry clusters and creating national-level pilot zones for future industries, with several clusters already initiated in districts like Pudong and Minhang [3][4] - Pudong is identified as the main battleground for future industry development, with a comprehensive innovation incubation system established [4][5] Innovation Ecosystem - The "Shanghai Future Starting Point Community" has been launched as an innovative organizational platform to facilitate collaboration between scientists and entrepreneurs, aiming to create a self-sustaining innovation ecosystem [7][8] - The dual-driven model of the fund and community is expected to accelerate the transition from concept to prototype, enhancing the efficiency of capital in recognizing long-term value [7][9] Long-term Vision - The measures aim to create a systematic experiment for future industries, with every mechanism breakthrough and capital investment directed towards making innovation operational [8][9] - The growth of future industries is viewed as a long-term "ignition experiment," with the potential for significant breakthroughs in the coming years [9]
让更多科研人才展示才华、大显身手(讲述·弘扬科学家精神(特别策划))
Ren Min Ri Bao· 2025-05-29 22:21
Group 1 - The number of highly cited papers in China reached 65,700, accounting for 33.8% of the global total [10][11] - The number of valid domestic invention patents in China reached 4.756 million, marking the first country to exceed 4 million in this category [10] - The total R&D expenditure in China was 3,613 billion yuan, maintaining the second position globally [10] Group 2 - The cultivation of original innovation talent is essential for building a strong technological nation, with a focus on "from 0 to 1" innovations [14][15] - The establishment of small and specialized research units can enhance the research environment and foster innovation [15] - The "Yao Class" at Tsinghua University has been successful in nurturing top undergraduate talent and creating a cycle of talent cultivation and innovation [15] Group 3 - The "Dream" deep-sea drilling vessel is a significant technological advancement for China, designed for deep-sea resource exploration and scientific research [19][20] - The vessel features nine laboratories for various scientific disciplines, enhancing China's capabilities in marine geology and resource assessment [20] - The successful development of the "Dream" vessel reflects China's progress in high-level technological self-reliance [20] Group 4 - The focus on artificial intelligence is crucial for the ongoing national development and innovation efforts, particularly in content generation and understanding [22][23] - Collaboration with academic institutions like Tongji University has led to the establishment of a design AI laboratory, fostering interdisciplinary research [23] - The launch of the commercial research AI tool, atypica.AI, demonstrates the potential of AI in simulating human decision-making processes [23]