New quality productivity is the core engine for enhancing international competitiveness and securing future growth. This paper references internationally recognized rankings and combines industry trends to conduct a comparative analysis of the development of new quality productivity in China and the United States from three dimensions: innovation, creativity, and transformative power. The study shows that the United States holds significant advantages in its technological innovation system and industrial ecosystem, particularly in cuttingedge technologies. Through high-intensity R&D investment and the rise of unicorn companies, the U.S. has established a leading global industrial layout. In contrast, China demonstrates potential in catching up in certain
advanced manufacturing sectors, but still lags behind in achieving major innovative breakthroughs and in the completeness of its innovation ecosystem.

Disinformation governance requires comprehensive measures, combining government supervision, platform governance, and media self-regulation into a co-governing force. Using evolutionary game theory, a tripartite model involving government, media platforms, and bloggers reveals the mutual strategic influence in disinformation governance. Results show that strict government supervision and process supervision can prevent platform inaction; excessive crackdown increases governance costs and causes platform slackness, hindering co-governance; strict government crackdowns, improved platform governance, and enhanced public resistance reduce disinformation benefits and creation. Currently, high-cost government governance requires long-term strategies to engage social forces in reducing disinformation benefits to lower governance costs.

As a “star player” in biological manufacturing, synthetic biology is reshaping many industries at an unprecedented rate, including biopharmaceutical, biological agriculture, personal care, high-performance materials, chemical energy and food health. Through further analysis of various links of synthetic biology industry chain, including upstream enabling technology, midstream enabling platform and downstream innovative application, we can find that this emerging field has vigorous vitality and great potential; by looking into the future development trend of this field, we can discover new industrial track, guide the future development of life and health, and stimulate the potential of new quality productivity.

Cell and gene therapy (CGT) refers to the process of transferring genetic material or cells into the patient’s body for disease treatment. As an advanced treatment, it involves a wide range of technologies and product categories, and broad clinical application. This article systematically reviews the key technologies and equipment and consumables involved in the upstream of the CGT industry, the drug production in the midstream of the industry, the market terminals and application scenarios in the downstream of the industry, and the contract research organization (CRO), contract development and manufacturing organization (CDMO) and inspection and test in the industry. According to the correlation and logical relationship between important technologies, we draw the CGT industry knowledge graph. Based on the knowledge graph, we analyzed key technologies such as target development, gene delivery strategies, new gene editing tools, and CAR molecular structure design. We further analyzed the development progress of chimeric antigen receptor T-cell immunotherapy (CAR-T therapy) , induced pluripotent stem cell (iPSC) therapy and nucleic acid drugs, and analyzed the function of CRO and CDMO in improving the development efficiency of the CGT industry. It can be foreseen that more technologies will be developed in the CGT industry, and the process of drug launch will be faster.

Artificial intelligence (AI) technology, with its powerful data processing capabilities and deep learning algorithms, is driving unprecedented changes in the pharmaceutical industry. These changes span from the initial discovery and refined design of drugs, to the accelerated launch and intelligent production of pharmaceuticals, and even to the precision marketing of strategies and personalized medical services. Through the literature search method, this article systematically explores AI’s impact on various aspects of the pharmaceutical industry, including drug discovery and design, clinical trials, product launch and production management, marketing strategies. It highlights how AI has driven profound changes in the industry and summarizes the challenges faced by AI technology in the pharmaceutical field, providing a forward-looking outlook on future development trends. The global market value of AI in drug discovery is expected to continue growing, and its role in biopharmaceutical research and manufacturing is gradually emerging. AI is anticipated to bring sustained momentum to the development of the pharmaceutical industry.

Intelligence analysis is not only about capturing successful cases but also about extracting valuable lessons from unsuccessful practices, particularly regarding decision-making biases, improper resource allocation, and unmet expectations. With this in mind, this article shifts the intelligence analysis perspective to focus on the global resurgence of the DARPA (United States Defense Advanced Research Projects Agency) imitation trend. Many countries have proposed emulating the operation model of DARPA to establish their own disruptive technology research institutions that make high-risk, high-reward investments. However, over the years, followers, including DARPA-like agencies in the United States, have been unable to replicate the same level of success. This article attempts to analyze why these imitators have struggled to compete with DARPA in the race for breakthrough innovation, offering insights for China to build a more efficient, flexible, and innovative technology research management system in the face of global technological competition.

By using policy text analysis and DEA model, this paper comprehensively examines the development of high-tech enterprises from the dual perspectives of quantity and quality, and conducts a provincial comparative study with the panel data of ten representative provinces from 2012 to 2021. The findings are as follows: (1) the high-tech enterprise policies issued by both central and local governments are mainly environmental policy tools; (2) there is no positive correlation between the number of high-tech enterprises and the number of local policy instruments; (3) the investment affecting the innovation performance of high-tech enterprises isn’t the more, the better. The paper suggests three strategies to foster higher quality development in China’s high-tech sector: ensuring high-tech enterprise policies in line with the goals of high-tech industry, developing local high-tech enterprises in different ways in different provinces, promoting the co-development of high-tech enterprises from different provinces, are proposed to push the higher quality development of China’s high-tech enterprises.

为贯彻落实国家科技创新大会精神，服务“创新驱动、转型发展”的重大战略，推动华东地区科技情报界适应经济全球化和重大科技变革的新时期、新形势要求，鼓励调动华东地区科技情报人员的积极性，提高自主创新能力，促进科技情报成果的开发利用，推进华东地区六省一市科技情报学会沟通与合作，2024年8月，华东六省一市科学技术情报学会组织评审2024年度“华东地区科技情报成果奖”，共授予“华东地区科技情报成果奖”142项，其中一等奖21项，二等奖50项，三等奖71项。

近年来，我国科技情报界对于情报支持科学决策和战略决策的功能与作用的认识与实践在不断提升与深化。相对而言，对于情报支撑服务科技创新的思考研究与实践探索是不充分的。前者是“对上的服务”，为政产学研的中高层决策者服务，这基本属于“智库建设”范畴，这里暂且称之为情报决策服务；后者是“对下的服务”，直面科学研究、技术创新的一线与主体，为科学家和工程师服务，这里暂且称其为情报专业服务。在信息化的进程中，数字化一直在赋能图情行业，不断尝试提升支撑科技创新的情报服务的效率和效能，但当下的智慧化正在颠覆情报专业服务。

The prediction of emerging technologies based on patent text data is of great significance for managers, who must focus on the direction of technology development, adjust technology research and development routes, and take the initiative in technology competitions. Taking the AI technology as an example, firstly, use grammatical analysis technology to identify noun phrases in English sentences and construct a noun phrase co-occurrence graph through the network word co-occurrence method. Secondly, a graph neural network model is built to implement co-occurrence graph link prediction and regression. Finally, link prediction and link regression results are combined to make technical predictions for artificial intelligence technology. The experimental results show that using the graph neural network to fuse the noun phrase co-occurrence graph method is more suitable for the prediction of emerging technologies in complex semantic situations and can obtain smaller prediction recognition granularity; in addition, the prediction results show that artificial intelligence technology is forward to application development in electronic meetings, computer vision, medical health, interactive interfaces, measurement and monitoring, machine learning algorithms, sensors, data channels, and intelligent manufacturing.

2025年乙巳蛇年春节除成为首个“世界非遗版”春节外, 还有件非同寻常的事情发生。在这个春节里，全中国乃至全世界都在关注和议论一个叫做“DeepSeek”的生成式人工智能大模型，杭州深度求索人工智能基础技术研究有限公司（DeepSeek）研发的这个大模型在全世界出圈。该公司先后上线大语言基座模型DeepSeek V3，以及基于V3训练、专为复杂推理任务设计的DeepSeek R1模型，并同步开源。它们以卓越的性能媲美或超越了全球其他顶级的开源及闭源模型。全世界的新旧媒体都在讨论DeepSeek，其风头不亚于2023年时的ChatGPT。作为竞争情报工作者此刻不谈谈这个话题真的“不好意思了”。

The night-time economy plays a significant role in promoting consumption upgrading, stimulating domestic demand, and increasing household income, which significantly contributes to urban economic development and brand building. With the rapid growth of the global night-time economy, how to effectively govern and manage night-time economic activities has become a critical issue faced by international metropolises. This paper analyzes the structure and connotations of the night-time economy governance system in global cities. By analyzing the governance cases of cities such as London, New York, and Manchester, it explores key measures regarding governance stakeholders, execution mechanisms, development standards, and data support. Based on this analysis, the paper summarizes the governance systems of the night-time economy in international metropolises and explores how to promote the sustainable development of night-time economies through a framework of multi-stakeholder and cross-departmental collaboration, providing theoretical guidance and practical insights for domestic cities in building their own night-time economy governance systems.

Institut des Hautes Études Scientifiques (IHÉS) is dedicated to mathematics, theoretical physics and to sciences at the interface of those disciplines. It is also the top research institution in Europe, comparable to the Institute for Advanced Study (IAS) . This article analyzes the development history, management structure, funding sources, and operation model of IHÉS, and summarizes its characteristics. The study found small and elite academic community, free and open academic atmosphere, academic influence of top talents, stable and efficient scientific research management are the important reasons, why IHÉS has become the top research hall of the world.

With the rapid development of information technology, open-source intelligence (OSINT) has become an indispensable resource in the corporate decision-making process. Based on the Hall three-dimensional structure, this paper establishes a framework for the application of OSINT in corporate competitive decision-making and proposes a system of capabilities and services that should be constructed under this framework. Through an analysis of the competition in the offshore wind power industry, this paper preliminarily presents methods for collecting and producing OSINT products in the field of power grids.

The development and governance balance of artificial intelligence technology is crucial for maintaining social security, improving the transformation efficiency and industrialization level of current AI technological achievements, and promoting high-quality development. At present, the two mainstream development views of artificial intelligence: “effective acceleration” and “super alignment” fail to reach a consensus, and also limit effective decision-making in the development and governance process. Based on the law of technological development of artificial intelligence, this paper proposes a trinity development concept of “alignment-acceleration-co-governance” , explores ways to transcend the theoretical boundaries of “effective acceleration” and “super alignment” , and provides a new development perspective for artificial intelligence.

2024年适逢《竞争情报》杂志创刊20周年，借此契机，本刊邀请《竞争情报》杂志前执行主编张左之回望中国竞争情报近70年发展之路。自1956年《科学技术发展远景规划纲要》首次提出建立科技情报机构以来，中国竞争情报经历了启蒙探索、孕育研究、成长突破至转型创新四个阶段。从科技情报向经济领域延伸，对标西方学习先进，再到IT公司推动系统普及，竞争情报日益融入市场经济。未来，面对国际形势新变化，中国竞争情报要寻求新途径、新方法，以应对更加激烈的全球竞争。

Technological convergence provides an important foundation for the development of scientific and technological innovation. In this paper, Apriori algorithm is used to analyze the cross-domain technology integration situation of US Utility patents (USP) across four or more International Patent Classification (IPC) sections through association rules. According to calculations, the frequency of occurrence of sections B, G, H, and C of the IPC of the USP is greater than 20 000 times, which is the field where technology convergence occurs frequently; Support of association rule for class G06 to H04 is 0.066, reflecting the convergence trend of artificial intelligence and communication technology. Support of the subclasses C07K and A61K is 0.016, and support of C12Q and G01N reaches 0.027, revealing the interdisciplinary direction of materials testing techniques, biology and medicine. Through the association rules, the track of technology integration of the United States is excavated, and the situation of technology convergence development is revealed, which provides references for technology innovation, as well as construction of interdisciplinary disciplines in universities.

In recent years, the frequent occurrence of network public opinion reversal events has brought great impact on Internet users, Internet media and the government. In order to regulate the information dissemination of online platforms and create a green online information platform, this paper starts from the subject and object of the evolution of online public opinion, and extracts six antecedent variables, namely, Internet user relevancy, media participation, government participation, information credibility, information sensitivity, and first report tendency. The fsQCA method is used to analyze the formation path that affects the intensity of public opinion reversal by taking 30 public opinion reversal cases as research samples. The results show that the formation of network public opinion reversal intensity is affected by the configuration of multiple factors. It can be summarized into three combination types, namely, the type of sensitive information reported by media, the type of government investigation and the type of joint action.

In the form of annual series, this article lists competitive-intelligence-related conferences, courses, publications and academic researches in 2024, summarizes annual progress and research hotspots of China’s competitive intelligence, so as to provide records and references for the development of competitive intelligence in China.

With the increasing frequency of cross-border data flow, the security of enterprise data exit has become an issue that cannot be ignored. With the latest revision of the Anti-espionage Law of China, it is of great theoretical and practical significance to carry out anti-competitive intelligence research on enterprise data exit security. Starting from the legislative background and revision focus on the Anti-espionage Law of China, this paper analyzes the possible scenarios and security risks of enterprise data exit, discusses the feasibility and necessity of anti-competitive intelligence to ensure the security of enterprise data exit, and puts forward the anti-competitive intelligence working mechanism for enterprise data exit security under the framework of the Anti-espionage Law of China. Under the framework of the new Anti-espionage Law of China, enterprises should integrate the data outbound work and anti-competitive intelligence activities from three dimensions: organizational system, institutional system and technical system, and explore the construction of an active anti-competitive intelligence working mechanism with internal and external linkage, both offense and defense.

At present, China is in a complex environment of the technological revolution, industrial transformationt and “following, parallel, and leading”, which will be a great opportunity for the development of China’s scientific and technical intelligence work. Exploring and practicing the working mechanism of scientific and technological intelligence is of great significance to improve the ability of scientific and technological intelligence service and promote the development of China’s scientific and technological innovation. The development process of China’s scientific and technical intelligence work is reviewed in this paper, the key factors that lead to the prosperity and development of intelligence work are summarized, and the opportunities and challenges under the new situation are sorted out. The working mechanism of scientific and technological intelligence under the new situation are explored and practiced, that is, the construction concept and framework of scientific and technological intelligence consortium are putting forward. In order to provide replicable experience for the establishment of scientific and technological intelligence working system at the national or provincial level under the new situation, the aspects of clarifying the construction mode, establishing the  operation mechanism, and carrying out the pilot construction are described in detail.

The discussion on the expression of countermeasures for intelligence products encompasses not only the techniques employed in intelligence writing, but also the strategic orientation of intelligence agencies. Aiming to address the inadequate expression of countermeasures in intelligence products, this paper delves into the underlying reasons why intelligence products are not suitable for expressing countermeasures, based on the characteristics of countermeasures, they are not an essential component of intelligence products; considering the function and orientation of intelligence agencies, it is neither necessary nor appropriate for intelligence products to include countermeasures. Therefore, intelligence products should be positioned as consultations with adjusted suggestions which should be expressed in an equitable and deliberative manner. Facts should be emphasized to enable decision makers to make their own decisions. Problems should be refined by integrating  specific problem analysis with corresponding countermeasures.

In order to clarify the development orientation of Shanghai capsule endoscopy industry and form the path of industrial innovation and development, patent navigation analysis was carried out from five dimensions: industrial structure, innovation subject, innovation talent reserve, technological innovation ability and patent operation strength. It is found that the development of capsule endoscopy industry in Shanghai has the following characteristics: The patent layout is generally consistent with the national structure; High degree of technological innovation activity; The distribution of innovative talents is concentrated but its global proportion is not high; The activity of patent operation is low. On this basis, the industrial development paths are further proposed to assist government decision-making.

2023年6月6日，美国兰德公司在新发布的报告《新中世纪世界的中美竞争：弱国时代的安全》（U.S.-China Rivalry in a Neomedieval World——Security in an Age of Weakening States）中提及引入了一个新概念，即“新中世纪主义（Neomedievalism）”。

Technical information analysis is the key to discover technological innovation pounts. The development of artificial intelligence (AI) technology and the demand for more accurate information are promoting the reform and innovation of information service in university libraries. How to make reasonable use of AI tools to improve the technical information analysis paradigm and give play to the wisdom of librarians is an important issue for promoting innovation and development. The study analyzes the current situation of technical information analysis and the application of AI tools, explores the selection mechanism of technical information analysis tools, and constructs a cooperation technical intelligence analysis process involving the collaboration of AI technology, librarian teams, and expert users by considering the cooperation and parallel tasks of people, data, and AI tools. Through case practice, this study analyzed the application of this process, and realized the technical information research products with granularity from coarse to fine, which met the needs of the information service objects. Therefore, the results showed that the new technical information analysis process had three advantages: firstly, AI tools can help bring out the wisdom of librarians. Secondly, the active interaction of the three parties can ensure the efficient and accurate information. Thirdly, the economical and practical performance promotes the replication of the information analysis process.

With the rapid iteration of artificial intelligence (AI) technology and the continuous expansion of its application scenarios, the competition between China and the United States in technological research and development, industrial deployment, and policy formulation has become increasingly intense. This rivalry not only shapes the future direction of global AI development but also profoundly influences the evolution of the world’s economy, politics, and even social structures. The trajectory of China-U.S. AI competition will be determined by the interplay and balance of multiple factors in the future. Its impact has long transcended technology itself, becoming a crucial microcosm of great power rivalry in the 21st century. Understanding the logic behind the the U.S. administration’s “small yard, high fence” strategy over the past four years and comprehensively assessing its effectiveness can help Chinese competitive intelligence professionals establish strategic coordinates in several key areas-dynamically tracking U.S. technology restrictions, analyzing China’s technological breakthroughs, forecasting risks and opportunities, and formulating competitive strategies that integrate both offensive and defensive approaches.

在对传统“创新三角”结构演变的观察与研究的基础上，思考构建了一个具有高敏感度和预警能力的情报监测框架。相信这对于关注前沿科技和创新的读者们，特别是科技情报工作者来说是有较高启示价值的。

In recent years, technological innovation has exhibited unprecedented complexity and uncertainty, and traditional frontier technology monitoring systems have repeatedly failed to anticipate disruptive transformations. The explosive emergence of ChatGPT, for example, revealed its revolutionary impact, yet it was scarcely predicted by mainstream analytical frameworks prior to its debut. This highlights the limitations of innovation monitoring methods based on explicit indicators such as academic papers and patents when confronted with increasingly latent and fragmented emerging technologies. As the geometry of innovation continues to undergo profound restructuring, building a monitoring system adapted to the new innovation ecosystem has become a critical issue for safeguarding national technological competitiveness and industrial security. A high-sensitivity, early-warning intelligence monitoring framework can not only identify potential directions of frontier innovation but also provide timely innovation intelligence for government and corporate decision-makers, enabling them to make precise frontier innovation deployments and resource allocations in the face of fierce global technological competition.

近年来，新一代人工智能工具在科技情报分析、专利信息挖掘、知识图谱构建等方面展现出强大的潜力，极大地提升了情报工作的效率与精度。为充分发动全国同行在科技情报领域及专利信息分析等相关领域开展新一轮工具研究与应用，推动科技情报工作的智能化、现代化发展，上海市科学技术情报学会、青海省科学技术情报学会、《竞争情报》编辑部、上海科学技术情报研究所世界知识产权组织技术与创新支持中心（TISC）、上海行业情报发展联盟等单位于2025年5月21日—24日在青海省西宁市联合举办“2025年科技情报新工具新方法学术研讨会”，以推动科技情报服务的智能化转型。

This paper enriches the theoretical foundation for identifying enterprise competitors, expands the methods for identifying enterprise competitors, and provides reference for enterprises to analyze the competitive situation. Firstly, the VRIO model is introduced to design a “target enterprise competitor” technology competition gap measurement index based on patents from four aspects: value, scarcity, inimitability and organization. Secondly, classifies competitors into single type, cross type, combined type, and comprehensive type, and further construct a comprehensive competition index indicator to achieve inter group comparison of competitors of the same type of competitors under the same dimension. Finally, refine the granularity of competitor analysis and analyzes the technological competitive elements of competitors in detail. Targeting FY company in the drone field, identifies its competitors. The results indicate that the enterprise competitor identification method guided by the VRIO model enriches the theoretical support for enterprise competitor identification. It also assists target enterprises objectively recognize the multidimensional resource gap between themselves and their competitors, provides decision-making support for leveraging their strengths and avoid weaknesses, and formulate technology layout strategies.

Quantitative evaluation of science and technology (S&T) policies implementation helps assess effectiveness of current policies and provides a data basis for future policymaking. This study examines 81 policies documents related to the “50 New S&T Policies” issued in Zhejiang Province from 2019 to 2022. Using content analysis, it evaluates implementation quantitatively from the dimensions of policy level, policy tools, and policy content. Findings show significant differences in the number of policies and public announcements between provinces and cities in terms of policy level. There are also significant differences, in terms of policy tools, in the average distribution of supply-oriented tools, demand-oriented tools, and environmental-oriented tools; In terms of policy content, the supply-oriented policies, in the major policy categories, account for the highest proportion, reaching 48%, and the policy subcategories of public services and capital investment have a relatively high proportion. Finally, the study suggests expanding the coverage of policies formulation and introduction, enhancing the continuous implementation level of policies, strengthening the content of demand-oriented policies, and improving the integrated form and measures of policies.

竞争情报是一个典型的“军转民”案例，从借鉴早期的军事战略发展为多学科交叉的理论体系，其核心逻辑是围绕“环境-对手-策略”三要素展开，方法论从静态分析向动态智能推演演进。在乌卡时代与人工智能技术快速发展的双重背景下，竞争情报工作呼唤方法论创新，比如可以再次“军转民”引入包以德循环理论（OODA循环）。

Under the background of promoting digital transformation and fostering new quality productive forces, data elements have become the hot topic and key direction for China’s economic and social development. This paper takes 31 provincial data element policy texts in China as the research object, uses NVivo12 plus to code, and constructs the analysis framework of “policy tool-policy goal” to analyze content, structure, feature and trend of the policy texts. It is found that there are some problems in the policy texts, such as the imbalance in policy tools and their internal structure, the uneven distribution of policy goals, and the weak matching between policy tools and policy goals. It is expected to provide some theoretical and practical reference for the subsequent adjustment and optimization of data element policy and the construction of a scientific and reasonable policy system.

Since the 21st century, long-term preservation of Russian digital resources has shaped a three-step development path of theoretical research, practical exploration and technological innoration. From three perspectives of “National Committees UNESCO IFAP” “The National Electronic Library (NEL) ” “Russian Science Citation Index” as the research objects, this article focuses on three dimensions: strategy, practice and innovation. All this comes to a panorama of Russian efforts in the information preservation. However, in the context of the Russia-Ukraine conflict and Western technological sanctions, the long-term preservation of digital resources in Russia inevitably shifts towards a development path that strengthens technological sovereignty.

How to coordinate the prospective governance of serving both development and security of science and technology has become an urgent issue to be solved for the high-quality development of scientific and technological decision-making consultation services. Taking the Center for Security and Emerging Technology (CSET) at Georgetown University as an example, this paper explores the operational mechanism of integrating and utilizing open-source intelligence to serve the prospective governance of development and security of science and technology. It also puts forward suggestions from aspects of strengthening the top-level design of strategic intelligence services, enhancing the ability to discover scientific and technological information resources, promoting collaborative innovation with internal and external institutions, and optimizing the management system for the transformation of research achievements, providing references for the institutions of scientific and technological intelligence in China transforming into think tanks and serving development and security of science and technology more effectively.

In view of the limitations of traditional competitor identification methods in the context of the Internet, this paper proposes a product-level competitor identification method based on user reviews as the data source, aiming to provide a strong basis for enterprises to optimize product design and formulate competitive strategies. Firstly, the candidate competitive products are defined based on the user’s selection preference, and the online reviews of the company’s products and the candidate competitive products are collected by using Python crawling technology. Secondly, the Python word segmentation technology is used to combine frequency statistics and manual screening to construct the product feature set and the sentiment word set. Thirdly, relying on the sentiment feature weight algorithm, the advantages and disadvantages of the company’s products are analyzed, the feature strengths and weaknesses are formed, the product vector space model is constructed and the similarity is calculated. Finally, the main and secondary competitors are identified to provide data support for market strategy optimization. In this study, “Colgate” is selected as an empirical analysis case. The study finds that the main competitors of “Colgate” are “Crest” “Liangmianzhen” and “Lengsuanling”, with similar advantages comparable and disadvantages; “Dental Doctor” and “DARLIE” are listed as secondary competitors because they have similar advantages and do not reach a considerable level in disadvantage characteristics.

As an important content of brain science, brain atlas is the basis for studying the structure, function and regulation of the brain. China and the United States have launched national brain science programs, which brain atlas research has been taken as the focus. In addition, this paper uses bibliometrics and content analysis to benchmark the basic research in China and the United States. The results show that under the orderly guidance of the strategic layout, the brain atlas research in the United States has successively completed cell classification and typing, brain atlas of different species, etc., while the brain atlas research in China lacks of a step-by-step and goal-by-goal strategic layout. In terms of basic research, there is a significant gap between China and the United States, with the United States having strong scientific research strength and world-class research results in brain atlas research. In China, the research on brain atlas is basically in the early stage of development, and the research force has not yet been formed, the research results need to be accumulated urgently. Through benchmarking, two implications are formed for the future rapid consolidation of brain atlas research foundation in China.

The explosion of large language models technology represented by ChatGPT has refreshed our understanding of artificial intelligence technology, impacted and reconstructed many traditional industries. This article focuses on the impact of large language models on intelligence analysis work, compares the two processes of intelligence analyst training and large language model construction, analyzes the similarities and differences between intelligence analysts and large language model. The study finds that large models are more like anthropomorphic intelligence analysis tools, but intelligence analysts have characteristic advantages that cannot be replaced by current large language models, such as emotions, sensations, bounded rationality, flexibility, and discernment. At the same time, the application of large language models in intelligence work will lead to the restructuring of the intelligence analysis process. The restructured process will still be dominated by intelligence analysts, but large language models will be involved in each stage to varying degrees.

With the modern society transitioning into the VUCA era, civil aviation emergencies have become increasingly frequent. To enhance the current civil aviation emergency management mechanism, it is imperative to evaluate the existing framework of China’s civil aviation emergency management and propose a new mechanism based on blockchain technology tailored to the specific needs of civil aviation emergency operations. This study examines the proposed mechanism from three dimensions: platform architecture, organizational structure, and technical infrastructure, systematically detailing the components within this framework. The operational process is elaborated through the system operation mechanism, encompassing the warning and support stage, the emergency response stage, and the post-incident recovery stage, referred to as “1 system+3 stages”. Additionally, the practical application of this mechanism is explored. Blockchain technology will provide comprehensive, full-cycle emergency support for civil aviation emergency management during crises, addressing the shortcomings of the current system and advancing its modernization.