Science and Technology Policy Commons^™

Empirical Study Of Impact Of National Science And Technology Program On Development Of New Energy Vehicle Industry, Dan Du, Xiaoyong Shi, Yong Cao, Yang Yang, Yao Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The national science and technology program serves as the primary instrument for the government to support scientific and technological innovation through financial funding. This study employs impact assessment methods to conduct an empirical study on the path of technological development in the field of new energy vehicles and its economic impact supported by the national science and technology program, and explores the role of scientific and technological support in forming new quality productive forces. It was found that the task layout of the national science and technology program has expanded from the midstream of the industrial chain to both upstream …

Main Challenges To China’S Scientific Research Instrument Innovation From Perspective Of The United States Export Controls, Jing Li, Daixie Chen, Qinghua Lin, Guohua Xiao

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has long been heavily dependent on imports of scientific research instruments, making this sector particularly vulnerable to intensified technological containment by the United States and other Western countries and their efforts to maintain technological dominance. Since the Donald Trump’s tenure as the 45th president of the United States began in 2017, the United States has frequently used export controls to suppress China’s scientific and technological progress, posing great security risks to China. Based on a review of the development of scientific research instrument innovation in China, this article analyzes the updates and trends of the United States export controls …

Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …

Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …

Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications, Haiping Zhao, Yaxin Zhao, Lingshuo Song, Ling Jian, Jun Wang, Shuwei Zang, Xiujie Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China’s existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved …

Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …

Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China, Yingtong Chen, Yupeng Shi, Bin Li, Xue Niu, Qiang Ji, Lin Xiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development …

Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry, Hongyan Zhang, Yuting Peng, Yajing Sun, Peng Zhou, Yanfei Zhao, Xiangjun Yang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current …

Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications, Zhongqi Wu, Yinshan Liu, Tao Dai, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a pivotal direction for breakthroughs in key core technologies within the artificial intelligence domain, large-scale models hold strategic significance in securing national scientific and technological sovereignty. This study employs a multidimensional framework encompassing “technological breakthroughs, industrial transformation, and governance policies” to systematically investigate the developmental trajectories and industrialization bottlenecks of large-scale models. At the technological level, while large-scale models exhibit exponential growth in parameter scale and computing power demands, they face critical challenges including the scarcity of high-quality data, insufficient transfer learning capabilities, and reliability-explainability trade-offs. Industrially, these models are reshaping the global industrial chain landscape through a dual-track …

Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …

Catalyst: A Unified Framework For Orbital Debris Risk, Conjunction Analysis, And Space Policy, Tyler Barr

Discovery Day - Daytona Beach

Catalyst is an analyst grade mission console and offline simulation service that operationalizes the Embry Riddle MIT Orbital Capacity Assessment Toolbox Monte Carlo (E-MOCAT-MC) for Space Situational Awareness (SSA) aligned assessment, connecting scenario assumptions to time tagged events, quantitative stability indicators, and evidence preserving exports. E-MOCAT-MC serves as the authoritative generator of seeded scenario runs under explicit configuration control, ingesting locally served Two Line Element sets (TLEs) and persisting each run as a structured record containing configuration data, stochastic seeds, event logs, derived metrics, and replayable artifacts for deterministic analysis. Unlike systems that primarily visualize TLEs and object tracks, Catalyst …

Bridging The Gap: Cybersecurity And Occupational Safety Frameworks In Ai Data Centers, Athena Leader

Discovery Day - Daytona Beach

Bridging the Gap: Cybersecurity and Occupational Safety Frameworks in AI Data Centers   As artificial intelligence infrastructure expands, AI data centers represent a critical and underexamined convergence of cybersecurity and occupational safety risk. Existing frameworks such as NIST, OSHA, and ISO standards were largely developed in isolation, leaving significant gaps in how organizations manage risks that are simultaneously digital and physical in nature. This study investigates the gaps and overlaps between cybersecurity and occupational safety frameworks as they apply specifically to AI data center environments. Drawing on a targeted literature review of established regulatory and standards-based frameworks, this research identifies where …

Innovation-Driven Development Of Advanced Manufacturing Industry Clusters: Trends, Issues, And Implications For 15th Five-Year Plan, Mu Rongping, Jingjing Guo, Yuchen Li, Qiang Li, Ze Feng, Mengyuan Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advanced manufacturing industry clusters have emerged as a key driver of global manufacturing transformation and upgrading, playing an increasingly significant role in technological innovation, industrial collaboration, supply chain resilience, and green, low-carbon development. This study systematically analyzes the innovation development trends of advanced manufacturing clusters worldwide, outlining the strategic layouts, policy measures, and implementation pathways adopted by major countries. Based on a comprehensive review of China’s current development status and prominent challenges in this field, the study proposes targeted policy orientations and recommendations. These policy recommendations include strengthening the innovation capacity of clusters, improving collaborative innovation networks, promoting the integration …

Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Agricultural modernization is an integral component of the national modernization. Toward 2035, China’s agricultural system confronts multiple challenges, including increasing resource and environmental pressures, rapid upgrading of residents’ consumption structure, and in-depth adjustments in the international supply chain pattern. Meanwhile, it also embraces a series of opportunities brought by transformations in agricultural production technologies and models driven by artificial intelligence, biotechnology, and engineering technology. Based on the perspective of national medium and long-term development strategy, this study sorts out the internal constraints, external opportunities, and development drivers faced by China’s agriculture. It explores six major strategic trends—ecological, intelligent, customized, facility-based, …

Research On Development Strategy Of China’S High-End Medical Device Industry, Liu Zhihong, Hui Zhu, Wei Wu, Jiani Li, Yingke Xu, Jianxin Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

High-end medical device industry serves as a critical technological foundation for modern healthcare systems and represents an important indicator of a country’s innovation capacity, advanced manufacturing capability, and industrial governance effectiveness. Amid intensifying global technological competition, upgrading healthcare demands, reshaping regulatory regimes and restructuring global supply chains, promoting the high-quality development of the high-end medical device industry has become essential for enhancing indigenous innovation capacity and ensuring industrial security. This study examines international experiences from the United States, Germany, Japan, and other countries in innovation ecosystem development, regulatory review optimization, market payment incentives, participation in international rules, and governance of …

Perspectives On Promoting Cultivation Of Intelligent Connected Vehicle Industry For Modern Industrial System, Yu Jiang, Yingxiu Zhang, Feng Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Promoting the development of intelligent connected vehicles (ICVs) has strategic significance for China to consolidate and expand its leadership in the new energy vehicle industry, accelerate the construction of a strong country in science and technology as well as transportation, and build a modern industry system with international competitiveness. Starting from the progressiveness and safety characteristics of the modern industrial system, and combining the three key requirements of “strategic guidance”, “innovation driven”, and “risk regulation” in the cultivation of emerging industries, this study reviews the innovation practices of major countries in the world to promote the development of the ICV …

Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As China’s space station transitions into its application and development phase, on-orbit research outputs are entering a period of concentrated yield. The protection of space station intellectual property (IP) has evolved from a theoretical proposition into a pressing institutional demand. For decades, developed economies, notably the United States and European nations, have dominated the development of international space IP rules. Their core approach extends the traditional principle of territoriality through “legal fiction”, establishing jurisdiction based on the “State of registry’s jurisdiction”—that is, treating space objects as extensions of the registering State’s territory, thereby extending the reach of domestic IP law …

Policy Reflections On Promoting Strategic Oriented Basic Research In China: Insights From The U. S. Department Of Energy’S Basic Research Funding System, You Yu, Yun Liu, Wenneng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strategy-oriented basic research is a key pathway to driving major original breakthroughs at the frontiers of science, serving national strategic needs, and securing a leading position in global science and technology. It is also a vital pillar for achieving high-level self-reliance and self-strengthening in science and technology and enhancing the capacity for original innovation. Faced with the urgent need to build a science and technology powerhouse and achieve breakthroughs in key core technologies, China has gradually improved its organizational framework for advancing strategy-oriented basic research and has established a solid foundation for policy support and resource allocation. Nevertheless, when measured …

From Resource Mapping To Mechanism Identification: A Lunar Tethered-Satellite Exploration System And China’S Strategic Opportunities, Wei Yong, Zhiping He, Yanchu Yang, Ke Wang, Junqiang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Lunar exploration is undergoing a paradigm shift from resource mapping to mechanism identification. Key processes, such as the modulation of volatiles by magnetic anomalies and the contribution of Earth wind to surface hydration, require strictly synchronized observations of magnetic-field gradients, particle fluxes, spectrally detected volatiles, and subsurface hydrogen within the same spatiotemporal window. However, a still-unfilled “near-lunar-surface intermediate layer” gap exists between conventional single-spacecraft orbiters and landed rovers: the capability for multi-altitude, multi-parameter, strictly synchronized process observations. A tethered dual-satellite system, consisting of a main satellite and a subsatellite connected by a 5–10 km short tether, naturally provides a dual-altitude …

Upholding Long-Termism In Basic Research To Shape Leading Advantage Of Automotive Industry, Yubo Lian

Bulletin of Chinese Academy of Sciences (Chinese Version)

General Secretary Xi Jinping has pointed out that basic research is the origin of the entire scientific system and the master switch for all technological issues, emphasizing that it must be advanced with greater efforts and more concrete measures. Upholding long-termism in basic research means placing it at the foundation of the innovation chain and maintaining continuous investment with strategic patience characterized by a long-term horizon and high tolerance for failure. Drawing on the author’s industrial practice, this study systematically reviews the characteristics and roles of basic research throughout the development of China’s new energy vehicle industry. In light of …

Characteristics And Implementation Paths Of Goal For Building Energy Powerhouse, Liye Xiao, Jiaofeng Pan, Xiaojiong Wang, Deqiang Sun, Mingliang Qi, Jianlei Mo, Huimin Li, Ting Wang, Jie Yang, Jie Lin, Yuchao Wang, Haiting Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

China is a major energy-consuming country, and ensuring effective energy supply is one of the core tasks for promoting national development and national rejuvenation. To guarantee national energy supply and energy security, and to vigorously develop and utilize clean and low-carbon energy, the Outline of the 15th Five-Year Plan for National Economic and Social Development of the People’s Republic of China clearly states: “We will thoroughly implement the new energy security strategy, accelerate the construction of a clean, low-carbon, safe, and efficient new energy system, and build a strong energy nation. We will promote the safe, reliable, and orderly replacement …

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 …

Strategic Research On Rebco High-Temperature Superconducting Tapes, Tianping Ying, Dongliang Wang, Pengtao Yang, Lin Zhao, Zhongtang Xu, Ziyi Liu, Chao Yao, Yanwei Ma, Xingjiang Zhou, Jinguang Cheng, Zhong Fang

Bulletin of Chinese Academy of Sciences (Chinese Version)

High-temperature superconducting materials, represented by REBCO (REBa2Cu3O7-δ, where RE denotes rare-earth elements), are of significant strategic importance in fields such as energy, healthcare, and large-scale scientific facilities due to their excellent performance in the liquid nitrogen temperature range. However, they still face severe challenges in long-tape uniformity, production cost, and engineering reliability. Future development must shift toward a “material-processing-application” collaborative innovation model, aiming at enhancing flux pinning, optimizing the interfaces and mechanical properties of the multilayer structure, and integrating scalable and intelligent fabrication technologies to promote the low-cost and stable production of high-performance tapes. This study analyzes the core application …

Opportunities And Challenges In Synthetic Biology For Manufacture Of Bulk Chemicals, Xiaolin Shen, Qipeng Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Traditional chemical manufacturing, reliant on fossil resources, meets material demands but faces challenges such as resource depletion, environmental pollution, and carbon emissions. This underscores the urgent need for a shift towards green and sustainable production methods. Biomanufacturing, which uses renewable resources to produce chemicals, offers a promising pathway for the chemical industry’s green transition. In recent years, biomanufacturing has emerged as a key area of global attention. Through synthetic biology, bulk chemicals like 1,3-propanediol have been successfully produced. Nevertheless, biomanufacturing of bulk chemicals still faces significant challenges, including high costs, low efficiency, and limited scalability. This is particularly true for …

When Words Flow Like Water: How The Enbridge Line 3 Pipeline Environmental Impact Statement Failed To Prevent Hydrogeologic Harm In Minnesota, Carly Gutzmann

Journal of Earth and Life Science

For the aquifers of Minnesota, the environmental impact statement (EIS) was a promise of protection that never left the page. An environmental impact statement is meant to be an aid in the decision making process in order to ensure that projects consider potential environmental harms that may occur. However, they are often used instead as another regulatory box to check, rather than as active considerations when planning. As such, a project plan can be flawed from the start—if project developers only consider environmental impacts after they have already put considerable time, effort, and funding into their project as-is, they may …

Localized Air Pollution Impacts From Data Centers In Northern Virginia, Damian Pitt, Ivan Suen, Ellie Plisko

Institute for Sustainable Energy and Environment Publications and Presentations

This report examins the extent of air pollution emissions resulting from the use of backup generators at data centers in Northern Virginia, including both actual current emissions and potential future emissions, and how those emissions totals compare to other sources of air pollution in the Northern Virginia region. It also examines how exposure to data center emissions correlates with demographic characteristics such as race, income, and education.

We while the air pollution emissions from individual data centers is minor, the collective impact from the 100+ such facilities in the Northern Virginia region is significant. Notably, the cumulative emissions exposure in …

A Computational Approach To Graduated Centrifuge Profiles For Partial Gravity Planetary Environments, Cabell W. Jones

Mechanical & Aerospace Engineering Faculty Publications

Missions such as NASA’s Artemis and SpaceX’s Starship aspire towards creating permanent settlements beyond Earth. In order to achieve this goal, it must be considered that the gravity present on planetary surfaces such as the Moon (0.165 g) and Mars (0.378 g) may be insufficient to support human physiology for long term habitation. On near-Earth missions, issues such as muscular atrophy, neuro-ocular changes, cardiopulmonary variations, and bone mineral density loss have been observed proportional to the duration spent in microgravity. Further studies have suggested that the severity of these conditions scales linearly with decreasing gravity, meaning that astronaut health can …

Affordable Course Content And Open Education Resources For Undergraduate Courses Teaching Fundamentals Of Wireless Communications And Networking, Dimitrie C. Popescu, Otilia Popescu

Electrical & Computer Engineering Faculty Publications

Wireless communication systems and networks along with the services they provide have become an essential component of the modern 21st century society, fueling job growth in the wireless industry and increasing the need for engineers specialized in wireless communication systems. As a consequence, over the past two decades, undergraduate courses teaching fundamentals of wireless communication systems and networks have become common in electrical and computer engineering and technology programs. At the same time, the number of textbooks dedicated to wireless systems and networks published by mainstream publishers has also grown, with availability in various formats and offerings and a significant …

Powering The Machine, Draining The Planet: Whether U.S. Environmental Law Is Equipped To Regulate The Energy And Water Demands Of Ai Data Centers, Michael Marcu

Journal of Earth and Life Science

Artificial intelligence (AI) data centers have become one of the United States' fastest-growing and least-regulated sources of environmental stress. In 2024 alone, U.S. data centers consumed 183 terawatt-hours (TWh) of electricity more than the entire nation of Pakistan and consumed an estimated 17 billion gallons of water (IEA, 2025; Berkeley Lab, 2024). By 2030, electricity demand from these facilities is projected to reach 426 TWh, a 133% increase in six years (Pew Research Center, 2025). This paper examines whether the existing U.S. environmental regulatory framework put by the National Environmental Policy Act (NEPA), the Clean Water Act (CWA), and the …

Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol

Computer Science Faculty Publications

Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …