Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout,
2026
Dongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan 523830, China; Songshan Lake Materials Laboratory, Dongguan 523830, China
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Materials innovation has long been constrained by vast design spaces, complex processing routes, lengthy validation cycles, and difficulties in engineering translation. Traditional research and development models, which mainly rely on accumulated experience, theoretical deduction, and experimental trial and error, have become increasingly insufficient to meet the demand for rapid breakthroughs in critical materials. In recent years, artificial intelligence has been increasingly integrated into materials design, synthesis, and processing, characterization, evaluation, optimization, and application feedback, promoting the transformation of materials innovation from experience-driven exploration to data-driven development and from discrete trial and error to closed-loop optimization. Based on an analysis of …
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout,
2026
Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China
Artificial Intelligence Empowered Biological Research: Paradigm Shifts, Application Scenarios, And Strategic Layout, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
Bulletin of Chinese Academy of Sciences (Chinese Version)
Life related processes are characterized by high dimensionality and multi-scale properties. Understanding mechanisms underpinning life processes helps promote national healthcare, agricultural development, sustainable ecological civilization, and national security. Current life science research is confronted with an enormous challenge of dimensionality stemming from data explosion and data fragmentation, for which the recent rapid advancement of artificial intelligence (AI) provides novel solutions. AI will catalyze a paradigm shift in life science research from the current experiment based empirical induction to a new closed-loop knowledge acquisition including large scale data collection, model building, model prediction, experimental validation, and iterative of these procedures. Life …
Artificial Intelligence For Cybersecurity: Opportunities, Challenges, And Approaches,
2026
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100085, China
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,
2026
University of Science and Technology of China, Hefei 230026, China
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,
2026
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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 For Deep Earth Science: Key Challenges, Major Application Scenarios And Development Pathways,
2026
Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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 …
Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research,
2026
State Key Laboratory for Quantitative Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518005, China
Advancing Paradigm Of Quantitative Synthetic Biology And Strengthening Mission-Oriented Basic Research, Chenli Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Synthetic biology is an important frontier in the life sciences, yet its further development remains constrained by limited capacity for rational design. Quantitative synthetic biology, which iteratively integrates quantitative modeling with the construction and analysis of synthetic systems, offers a promising paradigm for addressing this challenge. In this perspective, the study discusses the background and motivations underlying the emergence of this field and summarizes recent developments and exploratory efforts. Considering the unique characteristics of quantitative synthetic biology, it is suggested that progress in the field may benefit from strategically organized collaborative research that balances mission-oriented goals with investigator-driven exploration. On …
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation, Jialing Lyu, Ying Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
“Topic selection” in basic research has long been a central issue in S&T and innovation policy. Traditionally, it has often been understood as the processes of designating promising projects from an existing topic list through peer review and procedural evaluation. Nevertheless, major scientific problems do not always preexist within disciplinary systems, nor are landmark scientific discoveries artificially pre-planned in advance. Rather, they gradually emerge through the continuous interaction among national strategic demands, technological evolution, industrial transformation, and major real-world challenges. This study argues that important directions in basic research are often shaped by the sustained pull of real-world problems on …
Deep Learning Processor: Road To Fundamental Research On Ai Chip,
2026
State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep learning processor chips serve as an important computation foundation for the artificial intelligence industry, thus has attracted widespread attention from the international communities. The Institute of Computing Technology, Chinese Academy of Sciences took the lead in initiating fundamental research on deep learning processor chips in 2008. At that time, this research direction had not yet entered the mainstream vision of the international communities, with its academic value and development laws yet to gain widespread recognition, and it was confronted with the challenges of three fundamental scientific issues concerning its significance, principle, and architecture.To address the above issues, the research …
Leading Big Science Initiative And Boosting Basic Research,
2026
Carbon Neutral Innovation Research Center, Xiamen University, Xiamen 361005, China
Leading Big Science Initiative And Boosting Basic Research, Nianzhi Jiao
Bulletin of Chinese Academy of Sciences (Chinese Version)
As a core model for conducting cutting-edge research through global collaboration, major international science initiative (ISI) has comprehensively reshaped the development scope, resource landscape, research paradigms, talent systems, and governance ecosystems of basic research (BR). ISI and BR are deeply integrated and iteratively coordinated, forming a vital strategy for humanity to tackle major global scientific challenges. Against the backdrop of deep intertwining between scientific and technological competition and global governance, China taking the lead in ISI has become a strategic imperative for the new era, with the UN Ocean Decade Program ocean negative carbon emissions (ONCE) serving as a successful …
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research,
2026
Graduate School of China Academy of Engineering Physics, Beijing 100193, China
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research, Xin Wang, Chuanxi Wang, Changpu Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
Basic research is the source of original innovation and the foundation for building a strong nation in science and technology. Compared with applied development research and engineering research, basic research is primarily concerned with exploring the frontiers, proposing new concepts, discovering new laws, and establishing new theories. Its outcomes are often difficult to predict in advance and are rarely subject to sufficient experimental and practical verification within a short time frame. These characteristics expose basic research to three inherent challenges in the philosophy of science. First, the experimental verification of fundamental theories often requires a long period of time. Second, …
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions,
2026
American University in Cairo
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab
Theses and Dissertations
Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …
The Degradation Of Prices: Platform Power, The Erosion Of Price Comparison, And Rebuilding Comparison Shopping In The Digital Economy,
2026
Columbia Law School, Center for Law and the Economy
The Degradation Of Prices: Platform Power, The Erosion Of Price Comparison, And Rebuilding Comparison Shopping In The Digital Economy, Stephanie T. Nguyen, Shaoul Sussman
Center for Law and the Economy
The ability to know the price of a product or service and then compare prices of similar products or services is a foundational cornerstone of consumer choice and competitive markets. Once, buyers could more easily compare identical products across multiple sellers. However, this process has systematically degraded over time and has become increasingly difficult to do in practice. When prices are a reliable signal of product and market value, consumers can make informed purchasing decisions and sellers can compete for business by offering more attractive prices to consumers. This is a core market force that keeps price levels in check …
The Security Of Llm-Generated Code,
2026
CUNY John Jay College
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,
2026
University of Denver
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 …
Justice On Autopilot: Comparing Predictive Litigation And Data Justice In Bay Area Municipal Governments,
2026
University of San Francisco
Justice On Autopilot: Comparing Predictive Litigation And Data Justice In Bay Area Municipal Governments, Darris M. Thomas
Master's Projects and Capstones
This Capstone project examines how Bay Area municipal governments, specifically the City and County of San Francisco, Alameda County, San Mateo County, and Santa Clara County, are adopting and governing predictive litigation technologies, and what these practices reveal about the possibilities and limitations of data justice in advancing racial equity, transparency, and public accountability. Drawing on a qualitative, comparative case study methodology analyzing procurement contracts, AI governance policies, California Public Records Act (CPRA) disclosures, and semi-structured interviews gathered across fifteen municipal legal institutions, the research applies an interdisciplinary theoretical framework synthesizing John Rawls’s distributive fairness, Nancy Fraser’s recognition justice, Tom …
Construction Of New-Type Think Tanks With Chinese Characteristics Calls For Innovation In Think Tank Theories And Methodologies—Review, Summary, And Prospect Based On 10th Anniversary Of National High-End Think Tank Pilot Program At Institutes Of Science And Development, Chinese Academy Of Sciences,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Construction Of New-Type Think Tanks With Chinese Characteristics Calls For Innovation In Think Tank Theories And Methodologies—Review, Summary, And Prospect Based On 10th Anniversary Of National High-End Think Tank Pilot Program At Institutes Of Science And Development, Chinese Academy Of Sciences, Jiaofeng Pan, Yijun Liu, Wuyun Qiqige, Mingxi Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Since China launched the pilot program for the construction of high-end think tanks in 2015, the Institutes of Science and Development, Chinese Academy of Sciences (hereinafter referred to as CASISD), as the core carrier of the CAS National High-End Think Tank Pilot Program, has forged an exploratory path from specialization and scientization to disciplinization.Over the past decade, committing to the fundamental purpose of serving the scientific decision-making of the Party and the country and taking theoretical and methodological innovation as its core engine, CASISD has originally proposed the DIIS Process IntegrationMethod and the Think Tank Double Helix Methodology, taken the …
From Institution Building To Decision Intelligence Enhancement: Achievements And Prospects Of New Think Tanks With Chinese Characteristics,
2026
Institute of Public Policy, South China University of Technology, Guangzhou 510641, China; The Institute for International Affairs, Qianhai, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
From Institution Building To Decision Intelligence Enhancement: Achievements And Prospects Of New Think Tanks With Chinese Characteristics, Yongnian Zheng, Jincheng Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Since the issuance of the “Opinions on Strengthening the Building of New-type Think Tanks with Chinese Characteristics” in 2015, the development of new think tanks with Chinese characteristics has gone through a full decade. This period marks not only a critical transition from simply establishing think tanks to improving their quality, but also an important starting point for China’s transformation from a major producer of knowledge into a strong producer of ideas. Over the past decade, China’s think tank development has achieved staged progress: from initial institution building to systematic formation, from ex post commentary to whole-process policy engagement, from …
Research Progress And Think Tank Contributions To Regional Coordinate Development, Major Function Zoning Strategy, And Modern Spatial Governance—Based On Review And Analysis Of Contributions By Fan Jie’S Team In Bulletin Of Chinese Academy Of Sciences,
2026
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China; Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Research Progress And Think Tank Contributions To Regional Coordinate Development, Major Function Zoning Strategy, And Modern Spatial Governance—Based On Review And Analysis Of Contributions By Fan Jie’S Team In Bulletin Of Chinese Academy Of Sciences, Jie Fan, Jian Gao, Kan Zhou, Gan Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
Based on the think tank research published by Fan Jie’s team in Bulletin of Chinese Academy of Sciences, this study reviews the progress of human geography in the fields of regional coordinate development, major function zoning strategy, and the spatial governance system. Furthermore, it focuses on reviewing the think tank contributions that serve the need of major national strategic decision-making. Think tank contributions include the followings. (1) Through continuous engagement in major preliminary research for national Five-Year Plans, the team has established a prominent think tank brand for the Chinese Academy of Sciences. This brand focuses on regional coordinate development …
Decade Of Local Think Tank Development In China: Retrospective And Prospective Analysis,
2026
Hunan Academy of Social Sciences, Changsha 410003, China
Decade Of Local Think Tank Development In China: Retrospective And Prospective Analysis, Xiangzhi Zhou
Bulletin of Chinese Academy of Sciences (Chinese Version)
Since mid-2015, when the CPC Central Committee and State Council issued “Opinions on Strengthening the Building of New-type of Think Tanks with Chinese Characteristics”, local think tanks in China entered a decade of rapid growth, divided into three phases: initial exploration, deepening differentiation, and quality innovation. A preliminary system has been established, with progress in institutionalization and demonstrated impact. Nevertheless, challenges persist, such as narrow vision, underutilized advantages, regional imbalances, low professionalization, and weak support. Future efforts should focus on improving the system, optimizing functions, emphasizing localized research, strengthening organized research, accelerating digital transformation, advancing scientific methods, and fostering an …
