Science and Technology Policy Commons^™

Artificial Intelligence–Driven Paradigm Transformation In Biopharmaceutical R&D: Applications And Emerging Scenarios, Lili Liu, Mingyue Zheng, Ye Yuan, Xutong Li, Rong Fan, Wei Wei, Jinxin Zhao, Guobin Qi, Hua Yue, Likun Gong, Songping Zhang, Jiachen Li, Yuchen Sun, Xiaoyan Chen, Yao Chen, Xin Liu, Xiao Zhang, Yuehong Gao, Jianfeng Li, Kaixian Chen, Guanghui Ma, Jianmin Yue

Bulletin of Chinese Academy of Sciences (Chinese Version)

The biopharmaceutical industry is a critical domain underpinning national scientific and technological innovation development and public health. With the rapid advancement of artificial intelligence (AI) and its deep integration with the life sciences, biomedicine research is undergoing a paradigm shift from traditional experience-driven trial-and-error approaches to data-driven and predictive validation-based models. This study systematically examines the pathways for reshaping research in biomedicine paradigms under the convergence of data-driven, mechanism-driven, and intelligence-driven approaches. It focuses on recent advances in the application of AI across key stages, including drug discovery and design, druggability evaluation, delivery system design and optimization, nonclinical and clinical …

Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches, Kai Chen, Ding Li, Guozhu Meng, Shouling Ji, Changjiang Li, Yi Yang, Dengguo Feng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity research, institutional structures, and governance policies are undergoing profound transformations. Currently, increasingly covert and rapidly evolving intelligent attacks, coupled with the national urgent expectations for high-level security, are driving significant shifts in the roles and interactions of governments, research institutions, and enterprises. Consequently, this study, based on analyzing the challenges and opportunities of the AI era, explores core application scenarios such as critical information infrastructure protection, national data security, and the maintenance of cyberspace sovereignty. It provides an analysis of artificial intelligence in dimensions such as correlation and causality, and proposes a governance framework, aiming to provide insights for …

Artificial Intelligence For Astronomy: Strategic Opportunities, Policy Challenges And Development Strategies, Jin Chang, Yihan Song, Bing Du, Kefei Wu, Ali Luo, Jifeng Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

To alleviate the bottlenecks hindering the integrated development of artificial intelligence and astronomy in China and to reinforce the country’s strategic edge in science and technology, this study uses systematic analysis and path-comparison approaches to examine the policy requirements for their deep integration. The findings indicate that this topic is closely tied to global competition in science and technology, strategic security, and industrial upgrading. At present, the world has entered a new “astronomy + AI” paradigm, with the United States and the European Union already having taken the lead in establishing corresponding strategic frameworks. Leveraging major scientific infrastructures such as …

Artificial Intelligence Empowering Space Science—Case Study Of Space Weather, Chi Wang, Hui Li, Bingxian Luo, Fang Shen, Jingjing Wang, Lingqian Zhang, Yi Yang, Dong Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is currently confronted with a triple challenge: the explosive growth of observational data, the strongly coupled cross-scale nature of physical processes, and the increasingly urgent national strategic demands. The limitations of traditional research paradigms in analytical efficiency, forecast accuracy, and autonomous capability hinder their effectiveness in meeting critical requirements such as safeguarding on-orbit satellites and ensuring the successful execution of major space missions. This study proposes a three-layer “perception–cognition–decision-making” architecture for intelligent space science. Taking space weather—a domain with strong operational relevance—as a representative case, the four-dimensional paradigm transformation driven by artificial intelligence is systematically examined across key …

Artificial Intelligence Empowering Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Remote sensing science and technology, as a key discipline for Earth observation and global change research, faces systemic challenges in processing massive multi-source data, accurately extracting complex information, and delivering high-timeliness application services. The rapid advances in artificial intelligence (AI) provide a new opportunity to address the deep-seated dilemma in remote sensing of being “data-rich but insufficient in effective information mining”. Guided by a problem-oriented approach, this study first systematically analyzes the core challenges facing the development of remote sensing across four dimensions: data understanding, technical methods, scientific mechanisms, and application ecosystems. It then reviews the technical evolution of AI-empowered …

Artificial Intelligence For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways, Qingyun Di, Liang Zhao, Yikang Zheng, Zhi Geng, Zhichao Yu, Xiaocai Shan, Chao Li, Zhiyao Xu, Pengfei Lv

Bulletin of Chinese Academy of Sciences (Chinese Version)

Deep Earth science is central to understanding Earth’s internal architecture and the coupled evolution of its major spheres, while also underpinning energy security, the supply of critical mineral resources, and resilience to major geohazards. Nevertheless, the advancement of deep Earth science is currently hindered by insufficient in situ observations under extreme conditions, the difficulty of integrating multi-source heterogeneous data, and the limited capability to model complex multiphysics coupling processes. Recent advances in artificial intelligence offer a potential route beyond these limitations. By integrating data-driven learning with physical and geological understanding, AI is reshaping deep Earth science from empirical interpretation to …

Artificial Intelligence For Science: Connotations, Characteristics, And System, Kaihua Chen, Heyang Li, Hongxin Liu, Binbin Zhao, Shuo Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence is profoundly transforming the fundamental nature of scientific research, reshaping its modes of knowledge production and organizational operation, driving the emergence of a new artificial intelligence for science (AI4S) research paradigm, and accelerating full-chain innovation paradigm transformation. This study defines the basic connotations of AI4S across three dimensions, namely, enabling applications, tools and methods, and epistemic knowledge, and systematically identifies five core characteristics: human-machine symbiosis, autonomous evolution, interdisciplinary integration, resource intensity, and open ecosystems. It further constructs a supporting system and operational architecture encompassing layers of infrastructure, data resources, model tools, task execution, and application scenarios. Building on …

The Security Of Llm-Generated Code, Christopher Brian Gonzalez Ayala

Student Theses

The rapid adoption of Large Language Models (LLMs) in software development has transformed coding practices by enabling automated code generation, completion, and optimization. Despite these advantages, concerns persist regarding the security and reliability of LLM-generated code. This study presents a comprehensive evaluation of both the functional correctness and security of code produced by three prominent LLMs as of early 2026. A total of 4,800 code snippets were generated using 100 security-focused programming prompts derived from the OWASP Top 10:2025, translated across eight natural languages and two phrasing styles (literal and natural developer-oriented prompts). To assess performance, a multi-stage experimental framework …

Generation Z And The Ai Misinformation Paradox: Understanding A New Digital Vulnerability, Cecilia Cooley, Elizabeth Sperber

DU Undergraduate Research Journal Archive

This paper asks: How and why is Generation Z more vulnerable to AI-generated misinformation and disinformation than older generations? Using a comparative review of recent empirical studies, survey data, and meta-analyses from 2019–2025, this paper synthesizes research on Gen Z’s exposure to and interaction with AI-produced content across social media platforms. Although it is commonly assumed that Gen Z ’s technological exposure and fluency make them better equipped to recognize false information, findings show the opposite: Gen Z is consistently outperformed by older cohorts in detecting AI-generated falsehoods. This vulnerability stems from three intersecting factors: (1) the sheer volume of …

Ecological Interest Theory Of “Lucid Waters And Lush Mountains Are Invaluable Assets” And Its Application In The Yellow River Basin, Guangqian Wang, Deyu Zhong

Bulletin of Chinese Academy of Sciences (Chinese Version)

To address the core challenges of quantifying ecological value and converting it into economic gains, this study proposes a theoretical framework of ecological interest (EI) based on the principle that “lucid waters and lush mountains are invaluable assets”. Three fundamental origins of ecological interest are explained, including the temporal value discount, the spatial ecological compensation, and the civilizational occupation-compensation balance. These three dimensions establish the logical connection between ecological and economic values. Setting a 5% annual simple interest rate as the benchmark and adopting “Lucid Waters and Lush Mountains” green certificates as the standardized ecological assets for property rights delineation …

Seizing Strategic High Ground Of Space Computing Power: Global Competition Landscape And China’S Path, Yan Chen, Wenbin Song, Ping Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The deep integration of artificial intelligence and commercial aerospace is accelerating the transformation of space computing power from conceptual exploration to engineering verification, becoming a key direction for building an integrated space-air-ground information infrastructure. This study delves into its strategic value, global landscape, industrial chain bottlenecks, and advancement paths. The research reveals that the core value of space computing power does not lie in replacing ground data centers, but rather in focusing on network coverage blind spots, data transmission limitations, and high-timeliness scenarios, providing a new supply model of “in-orbit computing + space-ground collaboration”. Currently, the world has entered a …

Dialogue Between Mind And Algorithm: Deep Symbiosis Of Psychology And Artificial Intelligence, Xiaolan Fu, Zheng Yan

Bulletin of Chinese Academy of Sciences (Chinese Version)

As artificial intelligence (AI) evolves from a supportive tool into a collaborative partner, the convergence of psychology and AI is gradually shifting from one-way application toward deep symbiosis. This study discusses the mutual empowerment resulting from their interaction, as well as the challenges they face and potential pathways to breakthroughs. On the one hand, psychology empowers AI by enhancing its human-like intelligence and social adaptability through cognitive modeling and ethical constraints; on the other hand, AI empowers psychology by leveraging multimodal data and algorithmic models to revolutionize psychological assessment and intervention methods. This deep symbiosis requires a clear-eyed acknowledgment of …

Science And Technology Empower New Quality Productive Forces To Promote Green Sustainable Development, Yongxiang Lu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The rapid development of science and technology drives industrial innovation and upgrading, and promotes productive forces toward green, intelligent, and sustainable development. While improving production efficiency, new quality productive forces also promote green and sustainable development. This study reviews on green intelligent manufacturing technologies, green renewable energy technologies, green transportation technologies, and green data technologies, also explores their significance for global green and sustainable development.

Impact Of Climate Change On Agricultural Production In The North China Plain And Adaption Strategies, Yanjun Shen, Ying Guo, Chuanwei Zhang, Yaning Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Over the past century, global warming has posed significant challenges to the North China Plain (NCP), a core region for grain production, where resource-induced water scarcity now coincides with complex meteorological disasters. In recent years, the NCP has exhibited new climatic characteristics, notably the transition from a “warm-dry” to a “warm-wet” pattern accompanied by asymmetric warming, leading to an increased frequency of extreme events such as droughts, abrupt dry-flood alternations, and temperature extremes. These shifts pose a grave threat to regional grain stability. Currently, critical gaps remain in the understanding of the underlying disaster mechanisms, as well as in predictive …

Impacts Of Climate Change On Agricultural Production And Adaptation Strategies In Northeast China, Ming Jiang, Aizhen Liang, Peng Qi

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the “stabilizer” of national food security, Northeast China is highly sensitive to climate change. Over the past 60 years, the regional temperature has risen significantly at a rate of 0.034℃/a, which is much higher than the global average of 0.0074℃/a. The improvement of thermal resources has driven a significant northward expansion of high-yield and heat-demanding crops, such as maize and rice. Nevertheless, increased warming has enhanced evapotranspiration demand, which, combined with the expansion of planting scales, has led to a 19.8% increase in agricultural irrigation water consumption over the past 20 years, resulting in a prominent contradiction between supply …

Impact And Countermeasures Of Climate Change On Grain Production In Northwest China, Qin’Ge Dong, Jianqiang He, Yi Li, Ning Yao, Xiang Li, Haolei Zhang, Shengnan Wang, Tengcong Jiang, Baiqing Chen, Chunrui Gao, Chao Liang, Guiyuan Zhang, Lei Gong, Jinxuan Zhao, Qiang Yu, Hao Feng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Global climate change is reshaping the agricultural production patterns of grain crops in Northwest China. As an important reserve region for national grain production, Northwest China faces multiple uncertainties and compound risks in food security. This study analyzes the current status and limiting factors of grain production, along with regional climate change trends, and systematically evaluates the impacts of climate change and its associated disasters on the spatial distribution, cropping systems, and yield formation of major crops such as wheat, maize, and potato. Over the past 60 years, the region has experienced a warming rate of approximately 0.32℃ per decade …

Accelerating Marine Science And Technology Innovation Under Great Power Competition: Challenges And Recommendations, Qingbin Guo, Yongsha Xiong, Shifang Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of intensifying great-power competition, the core issues of global technological competition and cooperation are increasingly converging on the marine domain. The oceans are progressively becoming a critical strategic sphere for national development and security. At present, China is steadily advancing towards its goal of becoming a maritime power, achieving historic leaps in technological innovation such as shipbuilding and deep-sea exploration. Nevertheless, the path ahead for China’s marine science and technology innovation will inevitably face severe international circumstances and competition from established global maritime powers. Based on a review of global and Chinese progress in marine science and …

Challenges In Strategic Exploitation Of Deep-Sea Minerals And China’S Countermeasures, Chang Wang, Xiaojie Shu, Siyuan Zhou, Huiling Song, Shaojun Liu, Xiangxin Xu, Tao Dai, Tao Zhang, Peng Wang, Zheng Li, Jinhua Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Facing the new stage of strategic mining of deep-sea minerals and the long-term pressure of supply of critical minerals, China urgently needs to seize the window of opportunity for the strategic exploitation of deep-sea critical minerals and open up new sources of supply of critical minerals. Having analyzed the new global situation and challenges of the strategic exploitation of deep-sea critical mineral resources, the study attempted to clarify the supporting role of deep-sea mining in securing critical mineral supply, as well as the actual conditions and main obstacles for the strategic exploitation of deep-sea critical mineral resources in China. Based …

Construction Of China’S Marine Protected Area System In 15th Five-Year Plan, Ke Duan, Danhong Chen, Keqiang Li, Limin Han, Zhengyan Liu, Dongliang Lu, Xiulin Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The establishment of the marine protected area (MPA) system constitutes a critical component of the national initiative to comprehensively advance the development of a nature reserve system centered on national parks. This study explores on domestic and international development trends from aspects such as conservation strategies, international policies, high seas protection, and development trends. It also sorts out and analyzes the construction status of marine protected area systems in China and the United States. Centering on issues in China related to spatial layout, management systems, policies and laws, scientific research support, high seas governance, and land-sea management, the study puts …

Strategic Talent Management In Era Of Intelligence And Digitalization: Current Situation And Path Exploration, Chaoying Tang, Chunyuan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The report of the 20th National Congress of the Communist Party of China emphasized “speed up efforts to build a contingent of personnel with expertise of strategic importance” to support China’s pursuit of high-level technological self-reliance and its goal of becoming a world-leading power in science and technology. The deep integration of digital and intelligent technologies is fundamentally transforming talent management paradigms and innovation processes, posing new demands on the knowledge structure, competency models, and management approaches of strategic talents. The study explores the concepts of strategic talent management in the digital intelligent era, establishes its logical framework, analyzes current …

Risks And Challenges Under Approaching Climate Tipping Points And Governance Recommendations, Chengdong Huang, Xiaohong Chen, Zhifang Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Climate tipping points represent critical thresholds at which Earth’s climate subsystems undergo abrupt transitions, characterized by irreversibility, self-perpetuation, and complex interconnections, posing severe challenges to global climate governance. This study systematically elucidates the scientific implications and key features of climate tipping points, with a focus on analyzing the multifaceted risks triggered by their activation, including climatic physical risks, socio-economic systemic risks, and national security risks. To address these challenges, the research proposes a governance framework centered on “preventing abrupt changes—maintaining resilience—actively adapting”, emphasizing pathways such as enhanced monitoring and early warning, cultivating new quality productive forces, and constructing a global …

Northern Rainstorm Belt And Response Strategies, Jianping Huang, Xiaodan Guan, Xiaohuang Liu, Xiaohan Shen, Xiaojie Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the summer of 2025, the Northern Rainstorm Belt stretching from eastern Northwest China to the Northeast region exhibited a significant increase in summer precipitation and rainfall frequency over northern China. Cities in the north were frequently struck by extreme rainstorms, resulting in prominent disasters such as “floods in drylands and urban waterlogging”. Northern China spans a vast territory, serving not only as a major grain-producing area and a densely populated region but also as an ecological security barrier that connects the farming-pastoral ecotone and the Loess Plateau. Its stability has nationwide implications. Therefore, comprehensively enhancing flood control capacity, strengthening …

Panoramic Analysis And Strategic Proposals Of Helium Research In China Based On Knowledge Graph, Huayang Li, Quanyou Liu, Dongya Zhu, Xiaoqi Wu, Chi Zhang, Zehui Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

Helium is a critical rare gas essential for aerospace, medical devices, and semiconductor production. With about 85% of its helium coming from imports, China’s advancement of exploration and development technologies is vital for national resource security. This study analyzes helium-related publications from CNKI (2000–2025) using advanced data visualization and statistical methods. It introduces a three-pronged approach–data-driven analysis, visual representation, and mechanistic explanation–to offer the first comprehensive examination of China’s helium exploration and development research, revealing its evolution and current state from multiple perspectives and providing fresh insights. By examining publication trends, institutional contributions, and evolving research priorities, the study maps …

Simulation And Projection Of Glaciers And Their Runoff In Xinjiang Based On Tgsgs, Zhongqin Li, Yefei Yang, Bowen Liu, Huilin Li, Zexin Zhan, Feiteng Wang, Chunhai Xu, Weibo Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Glaciers are large flowing ice bodies formed from snowfall in cold regions. Due to the intrinsic physical properties of ice and the complexity of boundary conditions, physically based modelling of glacier change remains a global challenge. With support from the Chinese Academy of Sciences’ key science infrastructure program for the field station, the Tianshan Glaciological Station completed the Tianshan Glacier Station Glacier Simulator (TGSGS) in 2025. TGSGS features advanced representations of the physical mechanisms driving glacier change and multi-scale ensemble strategy, and is integrated with a reference glacier observation network based on terrestrial laser scanning (TLS), a low-temperature laboratory for …

The Expanding Digital Border: Ai, Surveillance, And The Fight For Justice, James Chesser

Immigration and Human Rights Law Review

As artificial intelligence transforms the mechanisms of immigration control, the modern border has become a digital filter—one governed less by geography and more by code. This Article examines the legal, technical, and ethical implications of AI-driven systems now central to global border enforcement, including biometric surveillance, algorithmic risk scoring, and predictive profiling. It explores how states use these technologies not only to manage irregular migration, but to compete for global talent—constructing migration regimes that reward capital and compliance while eroding transparency, due process, and equality.

Through an international and comparative lens, the piece highlights the expansion of algorithmic decision-making across …

A View Under The Hood: Duquesne Kline's Law And Computing Program, Wesley M. Oliver, Katherine L.W. Norton, Martin Mckown, David Horrigan

West Virginia Law Review

No abstract provided.

Science And Technology Communication And Construction Of China’S International Discourse System: Strategic Significance, Current Challenges, And Innovative Pathways, Haonan Du, Ting Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of a new round of scientific and technological revolution with the ongoing restructuring of the global governance system, science and technology have become central to competition in national comprehensive competitiveness and struggles for international discourse power. China’s science and technology have achieved a historic leap from “catching up” to “running alongside” and even “leading in certain areas”, providing solid strength support for the construction of an international discourse system. However, the transformation of scientific and technological advantages into discourse advantages remains insufficient, and the international community holds a dual perception of China’s technological advancements—recognition alongside concerns. The …

Combatting Desertification Scientifically: Where Feasible, Where Necessary, Bojie Fu, Yanxu Liu, Shuai Wang, Yijia Wang, Guipeng Cui, Yue Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has made remarkable achievements in combating desertification, achieving “zero net growth” in land degradation. With the goal of scientifically improving the relationship between humans and nature in drylands, the continuous exploration of new concepts, methods, and pathways for scientific desertification control will contribute to advancing the harmony between humans and nature in China’s drylands. Based on the definitions of desertification, ecological restoration baselines, and the contributions of nature to humans, we clarified the scientific implications of “controlling desertification where it is feasible and necessary”. We discussed the shift in China’s desertification prevention and control direction from “humans advancing while …

The International Decade Of Sciences For Sustainable Development: Global Progress And China’S Actions, Lin Wang, Shaofeng Hu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The International Decade of Sciences for Sustainable Development (IDSSD, 2024–2033) was officially launched by the United Nations in 2024, with the aim of strengthening and demonstrating the central role of science in achieving the Sustainable Development Goals (SDGs) and advancing the 2030 Agenda for Sustainable Development. This study systematically reviews the development of IDSSD, its governance structure, mechanisms for project solicitation and endorsement, as well as the thematic and regional distribution of endorsed initiatives. On this basis, it assesses China’s current participation and potential opportunities. During the first call for initiatives, IDSSD received 221 proposals from 52 countries, with 109 …

Understanding Key Lssues In Current Artificial Intelligence Development And Governance, Meng Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, as global artificial intelligence advances vigorously, the industry is engaged in intense discussions about the future direction of its development and governance, where certain consensus has been reached alongside notable divergences and controversies. This study focuses on several key contentious issues in the current development and governance of artificial intelligence, analyzes their inherent logic by combining the laws of scientific and technological progress, and puts forward corresponding solutions. Regarding the potential bubble risk, it emphasizes the need to strengthen the application of artificial intelligence in the real economy to channel and guide its development momentum. For the future …