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Articles 151 - 180 of 15433
Full-Text Articles in Entire DC Network
Social Determinants And Policy Implications Of Lived Experiences Of Multidimensional Poverty In Nigeria, Oluwatayo David Aduloju
Social Determinants And Policy Implications Of Lived Experiences Of Multidimensional Poverty In Nigeria, Oluwatayo David Aduloju
Walden Dissertations and Doctoral Studies
Poverty disproportionately affects rural populations, women, and children and is shaped by structural inequalities in access to resources and opportunities, reinforcing cycles of disadvantage. Although existing literature provides extensive quantitative evidence on multidimensional poverty, there remains a limited qualitative understanding of how these deprivations are experienced at the household level. This generic qualitative study addressed this gap by examining the lived experiences of heads of households in Bayelsa West Senatorial District, Nigeria, where poverty incidence and intensity are among the highest nationally. Drawing on Sen’s capability theory, Atkinson’s multidimensional poverty framework, and the social determinants of health model, this study …
Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian
Smart-Twin: Systematic Modeling And Real-Time Transportation With Digital Twins, Hovannes Kulhandjian
Mineta Transportation Institute
Urban transportation networks are increasingly affected by everyday congestion, non-recurring disruptions, and limited real-time visibility into what is happening on the road. Transportation agencies require advanced tools that support faster, proactive management and data-driven infrastructure decisions rather than passive monitoring. This report presents SMART-TWIN, an Artificial Intelligence (AI)–driven Digital Twin framework designed for real-time traffic operations, disruption detection, and performance-based decision-making support. The SMART-TWIN architecture integrates microscopic traffic simulation (detailed traffic modeling), long-horizon synthetic demand generation simulating real travel patterns, supervised machine learning, and performance analysis within a unified and reproducible workflow. A corridor-scale Digital Twin was developed for the …
Made In America, Hidden By Ai: Ai Shopping Chatbots Reveal How Amazon And Walmart Hurt American Manufacturers And Deceive Shoppers, Erie Meyer, Zachary Harris
Made In America, Hidden By Ai: Ai Shopping Chatbots Reveal How Amazon And Walmart Hurt American Manufacturers And Deceive Shoppers, Erie Meyer, Zachary Harris
Center for Law and the Economy
This article investigates the capabilities of two AI shopping agents — Alexa for Shopping and Sparky, operated by Amazon and Walmart respectively — to identify country of origin for products on their respective platforms and flag potential “Made in USA” misrepresentations — where products with “Made in USA” in their title or listing have another country or “imported” listed as their country of origin. This article finds that (1) Amazon and Walmart have the technical capability to detect and flag “Made in USA” fraud; (2) “Made in USA” fraud appears to be common on both Amazon and Walmart; (3) Amazon …
The Implementation Of Smart City Initiatives In Addressing Climate Change Challenges For The Transformation Of Jakarta Into A Resilient Global City, Roby Dwiputra, Nurulitha Andini Susetyo, Apriano Hanindito Amanza
The Implementation Of Smart City Initiatives In Addressing Climate Change Challenges For The Transformation Of Jakarta Into A Resilient Global City, Roby Dwiputra, Nurulitha Andini Susetyo, Apriano Hanindito Amanza
CSID Journal of Infrastructure Development
Jakarta, a densely populated delta city and Indonesia's former capital undergoing post-relocation transformation, faces escalating climate change impacts, including land subsidence and tidal flooding. Annual subsidence rates of 5–25 cm in northern areas and recurrent tidal floods, including the December 2025 event, pose significant threats to urban sustainability and economic stability. This study employs a qualitative descriptive–analytic approach using a single-case study of Jakarta. Smart city initiatives are examined as governance instruments for climate resilience, drawing on secondary data from regulatory documents, real-time digital monitoring platforms, and global smart city performance indicators. The analysis applies thematic and comparative techniques supported …
Synoptic Conditions Favoring Tropical Cyclone-Enhanced Southwest Monsoon High Precipitation Events In The Philippines, Alwin Andriel L. Bathan, Lyndon Mark P. Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, John A. Manalo, Jun Matsumoto
Synoptic Conditions Favoring Tropical Cyclone-Enhanced Southwest Monsoon High Precipitation Events In The Philippines, Alwin Andriel L. Bathan, Lyndon Mark P. Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, John A. Manalo, Jun Matsumoto
SOSE Affiliate: Manila Observatory
The interaction of tropical cyclones (TCs) with the southwest monsoon frequently causes heavy precipitation events (HPEs) and widespread flooding across the Philippines. Despite their substantial socio-economic impacts, the synoptic conditions that favor these events remain insufficiently understood, underscoring the need for systematic investigation to help improve forecasting and risk assessment. Lag composite analysis of daily rainfall records and reanalysis data from July to September for the period 1981–2023 shows that HPEs are more likely to occur when: (1) enhanced monsoon westerlies are present over the tropical Indian Ocean for at least nine days before the HPE, (2) a TC passes …
Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang
Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang
Research Collection School Of Computing and Information Systems
Regular maintenance during non-traffic hours (NTH) is vital for the resilience of urban rail transit (URT) systems, yet an insufficient NTH maintenance window poses a challenge for URT systems in various cities. For instance, the Hong Kong MTR Corporation has noted that the required NTH maintenance time often exceeds the available window, prompting service adjustments such as earlier late-night closures and/or later early-morning starts. To address this challenge, this study develops an optimal scheduling framework that links late-night and early-morning URT services through the NTH maintenance window requirement to maximize public welfare. A Decoupled Optimization Model (DOM) first derives closed-form …
Infrastruktur, Kelembagaan Tani, Kemandirian Ekonomi Desa: Geografi Dan Paradoks Kepemimpinan Di Indonesia, Tri Wahyu Cahyono
Infrastruktur, Kelembagaan Tani, Kemandirian Ekonomi Desa: Geografi Dan Paradoks Kepemimpinan Di Indonesia, Tri Wahyu Cahyono
Jurnal Ekonomi dan Pembangunan Indonesia
This study examines determinants of village economic independence (PADes) in Indonesia, focusing on infrastructure, social capital, and leadership. Using 2024 PODES census data (N=84,240) and clustered logistic regression, results show road infrastructure as the strongest factor (OR: 2.27). A “leadership paradox” emerges, where higher education of village heads negatively correlates with PADes formation. Geographic analysis reveals infrastructure effectiveness depends on topography, with lowland areas gaining the greatest structural advantage. Findings highlight the need for topography-based policy differentiation to strengthen fiscal independence in rural Indonesia.
Influence Of Stormwater Flooding Events On The Mobile County School District Student Population, Kadence Kali Johnston
Influence Of Stormwater Flooding Events On The Mobile County School District Student Population, Kadence Kali Johnston
Honors Theses
Mobile County, Alabama, receives among the highest annual rainfall totals in the United States resulting in frequent stormwater flooding that intersects with existing socioeconomic vulnerabilities. Within the Mobile County Public School System (MCPSS), 77% of students are economically disadvantaged and over 10% experience homelessness, creating heightened risk for educational disruption during flood events. This study investigates how stormwater flooding influences school attendance, closures, and academic performance across MCPSS, providing insight into how climate-driven hazards exacerbate educational inequities. The research integrates flood frequency, school performance metrics, and GIS flood-zone mapping and teacher perceptions to understand how flooding affects student learning opportunities. …
Routes To Sustainable Goods Movement: How Local And Regional Governmental Agencies Can Plan For The Sustainable Freight System Of The Future, Serena E. Alexander, Avante Grady
Routes To Sustainable Goods Movement: How Local And Regional Governmental Agencies Can Plan For The Sustainable Freight System Of The Future, Serena E. Alexander, Avante Grady
Mineta Transportation Institute
Freight transportation plays a critical role in supporting economic activity and everyday consumption across metropolitan regions, but growing freight demand continues to increase congestion, infrastructure strain, greenhouse gas emissions, air pollution, and safety risks. These impacts often disproportionately affect low-income and environmentally burdened communities. This report examines how metropolitan regions across the United States are planning for sustainable freight transportation through content analysis of freight and goods movement plans and interviews with freight planning professionals. The study analyzes plans from eight major metropolitan regions to identify common freight planning strategies, implementation approaches, opportunities, and barriers related to sustainability, resilience, and …
Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam
Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam
Mineta Transportation Institute
Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …
Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong
Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong
Research Collection College of Integrative Studies
A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …
Crises In The Nigerian Defence Sector In The Post-Civil War Period, Hussaini Jibrin
Crises In The Nigerian Defence Sector In The Post-Civil War Period, Hussaini Jibrin
Zamani: A Journal of African Historical Studies
History has it that post-war period in any country in the world appeared to be with many challenges of re-planning the defence system. It involves the reconstruction of pre-war institutions that are destroyed during the war for onward growth and development. Contrary to this tradition, this article explores that, in 1970 while Nigerians were celebrating about the end of the Nigerian civil war, fresh crises emerged in the country’s defence sector. Thus, General Yakubu Gowon’s government redirected its focus on addressing the crises. The crises are numerous, however, this article dwells on four only. These are demobilization exercise in the …
Historicising Nyerere’S Presidency In The Nyakyusa Mythical Narratives, Ignas Fedeo
Historicising Nyerere’S Presidency In The Nyakyusa Mythical Narratives, Ignas Fedeo
Zamani: A Journal of African Historical Studies
Julius K Nyerere, the founding President of Tanzania, held office from 1962 to 1985. Much has been written about Nyerere's presidency, with the literature generally falling into two categories: strong advocacy for his decisions, actions, and ideas, and pointed criticism against him. Using narrative and new historicism theories, this article examines the recreation of the history of Nyerere’s presidency in local narratives, specifically Nyakyusa myths. The myths were collected using the oral history interviews from Kyela and Busokelo districts in Tanzania. The Nyakyusa believe that Nyerere was endowed with immense mystical powers, some of which embedded in his stick and …
Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark
Graduate Scholarship and Creative Works
Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on …
Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark
Graduate Scholarship and Creative Works
Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …
A Study On Gender Equality And Geographic Homogeneity In Education And Their Association With Midlife Suicide, Julene Kemp Cooney
A Study On Gender Equality And Geographic Homogeneity In Education And Their Association With Midlife Suicide, Julene Kemp Cooney
Dissertations - ALL
ABSTRACT Suicide consistently ranks among the top five causes of death for the U.S. population aged 25-64, and suicide rates have been rising in the United States since 2000. Although targeted efforts have been made to reduce suicide deaths among high-risk individuals, the upstream, or “contextual,” causes of poor mental health that drive suicidal ideation and completion are fueling a national mental health crisis that is overwhelming available mental health resources, resulting in a significant and needless loss of life. This three-chapter dissertation examines how suicide rates among midlife adults in the United States are associated with several upstream contexts …
Data Governance In Local Government: Evidence From Spatial Data Initiatives, Maame Efua Q. Arthur
Data Governance In Local Government: Evidence From Spatial Data Initiatives, Maame Efua Q. Arthur
Capstone Projects – Politics and Government
The adoption of modern digital applications and tools enables community development organizations to improve public services and community well-being. In response to the data surge, several local governments in the U.S. are converting spatial data into user-friendly geospatial products, including maps, dashboards, web, and instant apps. Research suggests that while these tools enhance operations for municipalities, they also increase public accountability and data transparency. However, developing data-driven tools is dependent on structured data governance practices that ensure data accessibility, accuracy, reliability, and security. Using the City of Bloomington, Illinois, as a case study, this study assesses the city's data-driven initiatives, …
Academic Year 2026–27 Annual Estimate Of The Strategic Security Environment, Us Army War College
Academic Year 2026–27 Annual Estimate Of The Strategic Security Environment, Us Army War College
Books, Monographs & Collaborative Studies
The Academic Year 2026–27 Annual Estimate of the Strategic Security Environment provides a framework for those aspiring to tackle the Department of War’s most pressing challenges. This year’s authors highlight trending challenges and identify potential tension points across 10 sections organized under the broad themes of 1) Regional Challenges and Opportunities and 2) Institutional Challenges. This assessment represents the collective expertise of the US Army War College. The narrative is supplemented by a tailored list of 105 command-sponsored questions from 47 different Army and Joint organizations from across the Department of War. Combined, the distinct yet complementary narrative and question …
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Artificial Intelligence Empowers Particle Physics And Nuclear Physics: From Fundamental Research To Major Applications, Yifang Wang, Yuan He, Yao Huang, Wanbing He, Yi Jiao, Congqiao Li, Ke Li, Beijiang Liu, Yingqi Ma, Yugang Ma, Longgang Pang, Fazhi Qi, Sichao Tan, Chunpeng Wang, Meng Wang, Xiaoheng Xu, Xing Xu, Zhentang Zhao, Yingxun Zhang, Zhengde Zhang, Hongwei Zhao, Lina Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
Particle physics and nuclear physics are core foundational disciplines for exploring the fundamental structure of matter and the origin of the universe. The deep integration of artificial intelligence (AI) technology is providing entirely new pathways to address systemic challenges such as the processing of massive amounts of multimodal data, the realization of extreme experimental conditions, bottlenecks in theoretical calculations, and the intelligent control of large-scale scientific facilities. The article systematically elaborates on how AI deeply empowers particle physics and nuclear physics, particularly in major application scenarios such as research on the fundamental structure and origin of mass of matter, the …
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Consolidating Chemical Substance Creation Capability Through Ai For Science-Enabled Innovation Equity, Mengchu Jin, Wandong Wang, Jun Zhang, Yi Luo, Zaiku Xie, Jinlong Yang, Jun Jiang
Bulletin of Chinese Academy of Sciences (Chinese Version)
AI for Science (hereinafter referred to as AI4S) is driving profound changes in the paradigm of scientific research. Chemistry, as a central discipline for creating new substances and supporting major national strategic needs such as energy, health, dual carbon goals, advanced manufacturing, and ecological governance, is an important application scenario of AI4S. At present, innovation in the discipline of chemistry by young researchers still faces knowledge silos, capability silos, and resource silos: the accumulation of professional knowledge requires years of effort, frontier knowledge is highly differentiated, experimental capabilities are difficult to reuse, and high-end resources are difficult to coordinate, which …
Artificial Intelligence-Enabled Materials Innovation: Implementation Levels And Strategic Layout, Ziwei Zhao, Fengxiang Zhou, Yanglili Zhou, Can Wang, Pei Zhang, Weihua Wang
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, Xinguang Zhu, Yiming Bao, Zhenong Jin, Xin Li, Sijia Wang, Yueming Wang, Yungui Yang, Cao Xu, Yan Xiong, Bin Han
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–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
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
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
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 Remote Sensing: Challenges, Paradigms And Strategic Layout, Jiayuan Shen, Peirui Cheng, Zhirui Wang, Wei Liang, Xian Sun, Yirong Wu
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
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
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 …
Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models, Fang Xu, Xiaoxuan Li
Logic And Path Of Transformation Reform Between Old And New Research Evaluation Models, Fang Xu, Xiaoxuan Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
The national 15th Five-Year Plan once again emphasizes breaking the four-only criteria. Why is it so difficult to dismantle the four-only criteria? This study argues that an in-depth analysis of the underlying logical relationship between the old label-based evaluation model and the new connotation-oriented quality evaluation model is required to address this question. The study finds that the label-based evaluation model is a rational choice under specific historical circumstances and it has delivered positive effects. During the transition toward connotation-oriented quality evaluation, problems concerning indicators such as academic papers have been well resolved. Nevertheless, national science and technology awards and …
Upholding Long-Termism In Basic Research To Shape Leading Advantage Of Automotive Industry, Yubo Lian
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 …