Science and Technology Policy Commons^™

Artificial Intelligence-Driven Materials Science: Evolution, Framework, Dilemmas, And Breakthroughs, Yanglili Zhou, Weihua Wang, Ziwei Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence-driven materials science (AIMS) represents a revolutionary and disruptive paradigm in materials research, promising to fundamentally break through the traditional bottlenecks of research cycles and efficiency. Historically, the evolution of materials science research paradigms from empirical trial and error, theoretical modeling, and computational simulation to the new data-driven stage has been driven by innovations in cognitive tools and methods. Currently, artificial intelligence, as a disruptive cognitive tool, is fundamentally reconstructing the core elements and interaction logic of materials science: the research process achieves intelligent iteration and full-process closed-loop; the capabilities of researchers are reshaped and teams are organized; and …

Addressing Population Aging: Innovative Approaches To Aging Research In China, Jingyi Li, Jinghui Lei, Qun Chu, Weiqi Zhang, Moshi Song, Yaojin Peng, Guanghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The increasing prevalence of aging and associated diseases poses a substantial challenge worldwide. In recent years, the field of aging research has achieved numerous breakthroughs. Nevertheless, challenges still persist. This study offers a comprehensive analysis of the advancements within China’s aging research, highlighting current challenges and proposing strategy and policy recommendations. These suggestions draw from various areas, including research paradigms and key issues, efficient resource management, development of essential technological research and innovation ecosystems, international collaboration, and considerations of ethics and governance. The aim is to provide valuable insights and guidance for enhancing the quality and impact of aging research …

Study On Strategies And Measures And Insights For Introducing Artificial Intelligence Talents In Japan, Fangxin Hu, Ru Ma, Yujun Su

Bulletin of Chinese Academy of Sciences (Chinese Version)

In response to the aging population and the need for innovation in science and technology development, Japan regards AI as a key technology to solve social problems. In addition to accelerating the training of domestic AI talents, Japan is also vigorously introducing overseas AI talents. This study sorts out and analyzes Japan’s long-term, annual, and AI-specific strategic planning for the introduction of AI talents, including Basic Plan for Science, Technology and Innovation, Comprehensive Innovation Strategy, Strategic Plan for Artificial Intelligence Technology, and AI Strategy, and explores Japan’s specific implementation measures such as updating the national residence management system, improving the …

Watching The Watchers: Redefining Privacy And Human Rights In Correctional Surveillance, Ianna H. Choi

Binghamton University Undergraduate Journal

Incarcerated individuals exist in a space where security and privacy constantly clash. This study examines how surveillance technologies—biometric monitoring, video surveillance, and electronic tracking—in correctional settings impact the privacy rights of those incarcerated. Through a review of peer-reviewed literature, and insights from informal conversations with incarcerated individuals at Broome County Jail, this research examines the ethical, legal, and social implications of surveillance in carceral facilities, focusing on how constant monitoring impacts privacy, relationships, and mental well-being. Expanding beyond jails, the study considers surveillance in state and federal prisons, evaluating its implications under the United Nations International Covenant on Civil and …

Assessing Public-Sector Readiness For Artificial Intelligence In Egypt, Renad Ahmed Anwar

Theses and Dissertations

Artificial intelligence (AI) is increasingly adopted in public-sector contexts, yet successful implementation depends on organizational readiness, particularly in developing countries. This study assesses the readiness of Egypt’s public sector for AI adoption using a qualitative expert opinion methodology. Semi-structured interviews were conducted with senior professionals from global technology firms with extensive experience working with public-sector entities in Egypt.

Guided by by an integrated framework combining organizational readiness theory, the Technology–Organization–Environment (TOE) framework, and public value and governance perspectives, the study examines strategic, organizational, human, technological, societal, and governance dimensions of AI readiness. The findings indicate that while Egypt demonstrates strong …

Calculated Risks: The Power Of Predictive Risk Models To Regulate Families Of Color, Ashleigh Washington

Dissertations, Theses, and Capstone Projects

This dissertation examines predictive risk modelling (PRM) in New York City Administration for Children's Services (ACS), specifically exploring AI-enabled design features, practices, and encoded and racialized assumptions about risk in child welfare prevention services. Guided by Critical Race Theory and the Algorithmic Ecology framework, this study traces how PRM in ACS evolved from a service termination tool into a broader, largely internal surveillance apparatus that leverages families’ personal information, including health information, to assess risk of future maltreatment and to evaluate contracted service providers. Drawing on analysis of public records and in-depth interviews with Black parents, the findings describe how …

Research On Energy Security Governance And Preventive Measures In China Under Century Long Changes, Qiang Ji, Ying Fan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, multidimensional internal and external risks are intertwined and stacked, and energy security is constantly developing towards diversification, integration, and globalization. Balancing energy security and climate governance under the “dual carbon” goal is bound to encounter many major challenges, and climate issues have become an important part of the energy security concept that cannot be ignored. This study comprehensively analyzes the internal and external multidimensional risks faced by China’s energy security, and elaborates on the new energy security governance system of “one body, two wings, three ends, and four characteristics” from the …

Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Crude oil, often referred to as the “lifeblood” of the modern economy, plays a pivotal role in global economic stability and energy security. However, with the recurrence of crises in recent years, such as the the Russia-Ukraine conflict, escalating tensions in the Middle East, and intensifying trade frictions, the international crude oil market has been facing complex systemic risks, which are accelerated by persistent geopolitical conflicts, fragile supply-demand structures, and the intertwining of macroeconomic and financial uncertainties and so on. For China, with crude oil import dependence remaining above 70% for a prolonged period, economic and social development faces the …

Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous expansion of global maritime activities and the steady advancement of the “maritime power” strategy, marine environmental security has become a top priority for China. In deep-sea areas, various environmental parameters such as temperature, salinity, sound velocity, wave dynamics, internal solitary waves, and nearshore rip currents play a crucial role in navigation safety and underwater equipment operations. Nevertheless, traditional single-parameter forecasting models are no longer sufficient to meet the demands of multi-objective environmental protection. As a result, there is a growing need for a high-resolution, multi-objective forecasting system that integrates basic oceanographic element predictions (such as temperature, salinity, …

Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean data reanalysis (ODR) is a technique that combines ocean observational data with ocean circulation models to produce gridded data with higher accuracy and greater spatiotemporal coverage. The generated reanalysis data serve as a foundational dataset for conducting oceanographic research and developing artificial intelligence-based large ocean models. This study reviews the technical approaches of ODR, the current status of global and regional ocean data reanalysis systems developed in the world, and puts forward recommendations for the development of China's ocean reanalysis system.

Imprint Of Bcas In 2025

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the rapid emergence of research intelligence driven by big data and artificial intelligence (AI), high-quality, openly shared scientific databases have become a strategic focal point for scientific innovation and enhancing technological competitiveness. Major countries around the world are increasingly recognizing the foundational role of scientific databases in advancing basic research. While continuously strengthening their own scientific data infrastructure through a series of initiatives, they have simultaneously imposed restrictions and suppression on the development of AI technologies in China, including those involving research data. Against this backdrop, building an autonomous and controllable scientific data ecosystem to support research intelligence is …

Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Data altruism transcends the profit-seeking, monopolistic and competitive nature of the market mechanism. It is driven by innovation and encourages data subjects and holders to share information guided by the public interest. As a new type of data application and service model, it aims to achieve a virtuous cycle of the data ecosystem while optimize the utilization of data resources. Tracing back to the source, the theoretical foundation of data altruism from the ethical theory of altruism, and the concept of its budding was supported by the data for good. Analysis shows that the specific scheme of the EU data …

Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, intensified geopolitical conflicts worldwide have increasingly exposed the vulnerabilities of traditional energy security frameworks, necessitating a shift in perspective from “ensuring stable supply” to “building systemic resilience”. This study explores pathways to enhance China’s energy resilience, analyzes how diversification and localization strategies can strengthen national energy security, and reviews related policy practices. Building on this analysis and considering China’s current energy landscape, the study proposes that in the short term, emphasis should be placed on diversifying import sources and routes while strengthening domestic supply assurance. In the medium to long term, it is essential to accelerate the …

Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the advancement of the global energy transition and the intensification of global geopolitical uncertainties, technological competition in the energy sector has become a key area in the great power competition. This study constructs a logical framework for energy technology competition and reveals the new trends in current technological competition in the energy sector. On this basis, this study systematically analyzes the three main types of risks that China faces in energy technology competition and further proposes corresponding countermeasures. China must continuously enhance the core competitiveness and institutional voice over energy technology to achieve the strategic goals of energy security …

Internal Logic And Reform Suggestions Of Fiscal And Taxation Policies Supporting Construction Of New Energy System, Junming Zhu, Bofeng Li, Jiali Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Building a clean, low-carbon, safe and efficient new energy system is a core strategy for China to achieve its “dual carbon” goals and promote high-quality development. This endeavor involves not only technological innovation in energy production and consumption but also requires guidance and support from the national governance system. As a key instrument of modern national governance, the fiscal and taxation policies serve as a crucial way to guide energy production and consumption, promote technological innovation, and adjust the distribution of interests. In light of the current multidimensional goals of energy transition—particularly the inherent tension between “clean and low-carbon” and …

Market-Oriented Reform In China’S Oil And Gas Industry: Current Dynamics And Strategic Pathways, Min Shi, Yuan Xue, Xunpeng Shi, Dayong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

China’s oil and gas market-oriented reform, developed through decades of exploration, has established a structure featuring multi-entity exploration in the upstream, independent operation of the national pipeline network in the midstream, and diversified competition in the downstream. Nevertheless, systemic challenges persist. A highly concentrated supply structure poses risks to energy security, while inadequate competition and limited market openness constrain operational efficiency. The green transition is hampered by insufficient policy coordination and economic viability barriers, and R&D transformation bottlenecks impede technological innovation. Furthermore, regional disparities in public service provision undermine social equity. Resolving these contradictions necessitates a systematic approach to reconfigure …

Thoughts On Accelerating The Capture Of Technological High Ground For Precise Marine Environmental Assurance, Yuantao Wu, Mingyue Wan, Deke Chen, Danhong Dong, Yao Yu, Miao Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The marine environment serves as a critical foundation for the development, utilization, protection, and governance of the ocean. Marine environmental support holds significant strategic importance for the exploitation of marine resources, ecological and environmental conservation, and the safeguarding of maritime rights and interests. It has become a strategic high ground in the new wave of marine technological innovation and development. This paper reviews the current status of global marine environmental support technologies, with a focus on the establishment and capabilities of the comprehensive “observation–forecasting–application–assessment” precision support technology system for the marine environment developed by the Chinese Academy of Sciences. It …

Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin

Bulletin of Chinese Academy of Sciences (Chinese Version)

Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …

Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …