At the beginning of the new year, DeepSeek has become a hot topic, and its applications in various fields have also sparked thinking and discussion. In the field of scientific research, a new paradigm driven by artificial intelligence has emerged, which has put forward more urgent requirements for building an open innovation ecosystem. Emerging technologies such as artificial intelligence are important forces driving technological and industrial innovation. With the rise of artificial intelligence technology, the use of machine learning and other artificial intelligence techniques can analyze and process simulation and experimental data in multiple dimensions, modalities, and scenarios, solve complex deduction and calculation problems, and accelerate the discovery, verification, and application of natural laws. The scientific research driven by artificial intelligence has innovated in tools and research methods, and this new paradigm of scientific research requires better utilization of global resources. In the face of such new trends, continuously consolidating the sharing of scientific research data, strengthening the construction of scientific research facilities, and promoting ethical governance in science and technology are not only laying a solid foundation for open innovation, but also accelerating the transformation of scientific research paradigms. Convenient sharing of scientific research data provides information support for new scientific research paradigms. Scientific research activities generate a large amount of data every day, which serves as the foundation for training large artificial intelligence models. Under the feeding of massive scientific research data, artificial intelligence can perform extensive calculations on this data to generate new discoveries. Therefore, smooth channels for the circulation and sharing of scientific research data can promote the development of international scientific and technological cooperation towards a more inclusive and efficient direction. In this regard, a number of high-level scientific data centers currently being built internationally, such as GenBank and the "Protein Structure Database" in the United States, can provide important data resources for AI driven scientific research. However, the sharing and cross-border flow of scientific research data also bring some security risks. This is also worth paying attention to, and relevant measures need to be introduced to strengthen the openness and sharing of scientific research data while controlling risks, in order to meet the demand for data in the new scientific research paradigm. The co construction and opening of large-scale scientific facilities provide important tools for new research paradigms. At present, the environment facing scientific research has undergone significant changes - the complexity of scientific problems that need to be solved is high, the scale of research activities is large, there are multiple disciplines that need to be crossed, and research facilities are more specialized. International scientific and technological cooperation is increasingly relying on the co construction and opening up of major technological infrastructure. Internationally, in recent years, Germany has successively passed a number of plans to build or expand large-scale scientific facilities, hoping to become a gathering place for international large-scale facilities and encouraging German scientists to actively participate in the construction and operation of large-scale facilities abroad. At present, China has also deployed large scientific facilities in Beijing, Shanghai, Shenzhen and other places. In order to better play the role of these large scientific facilities, it is still necessary to further enhance the level of openness and sharing, implement a fair and benign competition mechanism, and utilize large scientific facilities to gather more international resources. Strengthening global governance is an important guarantee for the healthy development of the new scientific research paradigm to address the ethical issues brought about by artificial intelligence. Currently, the rapid development of artificial intelligence models deeply empowers multiple application fields such as scientific research, healthcare, and finance. However, it also brings potential risks that cannot be ignored, such as malicious generation and push of false information, infringement of intellectual property rights, hacker attacks, virus intrusion leading to system paralysis, etc. Preventing these security risks requires global cooperation and the formation of a sound global technology governance system and mechanism. China also needs to enhance the risk awareness and governance capabilities of scientific researchers, and actively participate in global technology governance. The new scientific research paradigm calls for an open innovation environment with global competitiveness, and building an open innovation system can accelerate the arrival of the new scientific research paradigm. One is to explore a risk controllable data sharing and open cross-border flow mechanism. Establish systems for open sharing, compliant use, and secure cross-border access to scientific research data resources, and develop standards and regulations for data registration, circulation, and supervision. Explore the construction of hub scientific research data centers in key open areas such as Hainan Free Trade Port and the Guangdong Hong Kong Macao Greater Bay Area, establish cross industry data working groups, and improve the construction of scientific research data hosting platforms. Fully utilize incentive measures such as project revenue and innovation vouchers to encourage research institutions to share data on the platform and activate the potential of data elements. The second is to lead the open sharing of large scientific facilities with major technological projects. Actively utilizing national major strategic implementation and key field security capacity building projects, implementing several international major scientific plans and projects, establishing organized research mechanisms for major pre research projects, and enhancing international participation in projects. Establish a diversified investment mechanism and adopt incentive measures of "rewards instead of subsidies" to promote the sharing and opening of facilities to enterprises. Emphasize the cultivation and construction of facility talent teams, and encourage talent teams to participate in major international scientific research projects. The third is to improve the regulatory mechanism for the development of future technology industries such as artificial intelligence and enhance governance capabilities. Promote more units to establish science and technology ethics committees and carry out "responsible innovation" under the guidance of relevant ethical methods. Establish a mechanism for assessing the ethical impact and risk points of technological innovation, strengthen agile governance, and explore the implementation of inclusive and prudent regulatory systems. Promote the improvement of the international technology governance system, and advance the construction of digital public infrastructure and corresponding laws and regulations. (New Society)