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Articles 421 - 450 of 62484
Full-Text Articles in Social and Behavioral Sciences
Mecklenburg County Veteran Needs Assessment, Mary Rachel Keville, Nosa Akol, Zachary Bridgewater, Gilly Cantor, Emily Graham, Vincent Delsignore
Mecklenburg County Veteran Needs Assessment, Mary Rachel Keville, Nosa Akol, Zachary Bridgewater, Gilly Cantor, Emily Graham, Vincent Delsignore
Institute for Veterans and Military Families
Mecklenburg County’s Community Support Services’ Veterans Services Division (MCVSO) has sought to strategically improve their outreach and engagement with veterans and the military community within Mecklenburg County, North Carolina. To achieve this, MCVSO partnered with the D’Aniello Institute for Veterans and Military Families (IVMF) and Veterans Bridge Home (VBH) to design and deliver a community needs assessment focused on understanding the county’s veteran population, identifying service gaps, understanding barriers to care, and assessing how to best engage the veteran population. A multi-format needs assessment survey was designed and marketed towards the military-connected community within Mecklenburg County. The assessment was supplemented …
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 …
Examining The Impact Of Transformational Change To Modernize Federal Government Records, Michael Lloyd
Examining The Impact Of Transformational Change To Modernize Federal Government Records, Michael Lloyd
Walden Dissertations and Doctoral Studies
No abstract provided.
Accounting And Economic System Classification: An Adverse Effect Of The Misconceptualization Of Capital, Henry Zeno Chalu
Accounting And Economic System Classification: An Adverse Effect Of The Misconceptualization Of Capital, Henry Zeno Chalu
Business Management Review
This paper discusses the influence of accounting on economic system classification. Particularly, it traces how a misconception of the accounting term ‘capital’ led to a misleading characterization of capitalism and socialism as inherently oppositional economic systems. This misunderstanding stems from neglect of the two complementary modes of thought on which accounting as a science rests: reasoning, which is the conceptual, idealistic dimension, and proving, which is the technical, physicalist dimension. Both modes are integral to the construction of most of the accounting terms used in economics. If an accounting conceptualization had been followed, capitalism and socialism would not …
Governance Success Factors In The Nglanggeran Sustainable Tourism Village, Indonesia, Dwi Kristanti, Hartuti Purnaweni, Ida Hayu Dwimawanti, Teguh Yuwono
Governance Success Factors In The Nglanggeran Sustainable Tourism Village, Indonesia, Dwi Kristanti, Hartuti Purnaweni, Ida Hayu Dwimawanti, Teguh Yuwono
The Qualitative Report
Our qualitative case study examines the dynamics of governance in the Nglanggeran Tourism Village, Yogyakarta—a recipient of various national and international awards for sustainable tourism. Through in-depth interviews with 15 stakeholders, field observations, document analysis, and focus group discussions, we identified five key interrelated factors in governance success: (1) community participation and empowerment, (2) transformative leadership, (3) multi-stakeholder collaboration, (4) adaptive strategic planning, and (5) integrated socio-ecological resource management. Our research's significance lies in analysing how these factors interact dynamically in specific socio-cultural contexts to produce adaptive and resilient governance systems. The findings contribute to a theoretical understanding of sustainable …
Three Essays On Collaborative Policymaking: Examining The Influence Of Procedural Dynamics On Policy Outputs In Collaborative Marine Fisheries Management, Shuping Wang
Dissertations - ALL
This dissertation advances the study of collaborative policymaking by examining an underexplored relationship: how the collaborative policymaking processes shape policymaking outputs. Drawing on scholarship on collaborative policymaking, adaptive policymaking, and collective learning, this dissertation proposes and tests three approaches to measuring both processes and outputs, using U.S. Marine Fishery Management Councils as the empirical context. Three essays collectively demonstrate that policymaking outputs are systematically shaped by the dynamics of the collaborative process itself. Essay 1 shows that knowledge diversity among stakeholders affects the passage of council decisions, revealing that engagement with diverse knowledge forms is not always positively associated with …
Degrees And Certificates Awarded To Native American Students In Nevada, 2010-2022, Devin Streuter, Kevin Yang, Caitlin J. Saladino, William E. Brown Jr.
Degrees And Certificates Awarded To Native American Students In Nevada, 2010-2022, Devin Streuter, Kevin Yang, Caitlin J. Saladino, William E. Brown Jr.
Higher Education
This fact sheet presents data on certificates and degrees awarded to Native Americans from the Nevada System of Higher Education’s (NSHE) teaching institutions —College of Southern Nevada (CSN), Great Basin College (GBC), Nevada State University (NSU), Truckee Meadows Community College (TMCC), University of Nevada, Las Vegas (UNLV), University of Nevada, Reno (UNR), and Western Nevada College (WNC)— from 2010 to 2022. Additionally, the fact sheet reports data on degree type, gender, and the most common majors pursued by Native American certificate and degree earners in Nevada. The data are derived from the Nevada P-20 Workforce Research (NPWR) Data System.
U.S. Service Member To Counseling Student, Nicole Marie Arcuri-Sanders, Kellie Forziat-Pytel
U.S. Service Member To Counseling Student, Nicole Marie Arcuri-Sanders, Kellie Forziat-Pytel
Educational Sciences and Organizations
This qualitative descriptive study examines the absence of military career pathways for licensed mental health counselors (MHCs) and the impact of this structural limitation on service members' career transitions. Findings indicate that both combat and non-combat veterans pursued mental health counseling due to personal service-related mental health experiences and dissatisfaction with available care while in service. Despite these challenges, many participants expressed a strong desire to continue serving their country as professional counselors. Over half of the participants reported separating from the military because no occupational role existed for licensed MHCs. At the same time, most indicated they would have …
Three Essays On Governing The Energy Transition At The State And Local Levels, Brandon Charles
Three Essays On Governing The Energy Transition At The State And Local Levels, Brandon Charles
Dissertations - ALL
This dissertation analyzes challenges in governing a large-scale transition in energy system infrastructure in the United States. Transitioning U.S. energy infrastructure toward a low greenhouse gas emission future raises challenges at all levels of government. The essays in this dissertation focus on challenges at the state and local levels, each leveraging different data and research designs to inform governments and administrative agencies about emerging issues. In the first chapter, I analyze changes in the stock of outstanding debt issued by local governments due to the U.S. boom in the extraction of shale oil and natural gas resources. Local governments in …
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 …
Three Essays On Social Security Retirement Age Reform And Its Implications For Older Adults, Halim Yoon
Three Essays On Social Security Retirement Age Reform And Its Implications For Older Adults, Halim Yoon
Dissertations - ALL
Rising life expectancy and declining fertility rates have led to rapid population aging in many countries. To address the resulting fiscal pressures on social insurance programs and encourage longer labor force participation among older adults, many countries have reformed their public pension systems. In the United States, the Social Security Amendments of 1983 gradually increased the Full Retirement Age (FRA)—the age of eligibility for full, unreduced Social Security benefits—from 65 to 67. While prior research has extensively examined whether this reform delayed Social Security claiming and retirement, much less is known about its broader and longer-term consequences for well-being, including …
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, …
Higher Education Administrators’ Perceptions Of The Influence On The Social Construction Of Disability And Institutional Antidiscrimination Policies, Pamela A. Kasyan-Howe
Higher Education Administrators’ Perceptions Of The Influence On The Social Construction Of Disability And Institutional Antidiscrimination Policies, Pamela A. Kasyan-Howe
Walden Dissertations and Doctoral Studies
No abstract provided.
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–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 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 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 …
Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation, Xin Fang, Ke Wen
Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation, Xin Fang, Ke Wen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Basic research is the source of the entire scientific system and the master switch for all technological problems. This study systematically reviews the evolution of the connotation and functions of basic research, and explores the new characteristics of basic research development triggered by the paradigm shift of AI for Science (AI4S): the shift of activity subjects from human‑dominated to human‑machine collaboration, the comprehensive restructuring of organizational models, the increasingly prominent strategic value of public intelligent research infrastructure, and the growing urgency to coordinate security and governance institution building. Addressing the demands of the new era, the study proposes principles and …
Optimizing Institution Of Demand-Oriented Basic Research, Promoting Deep Integration Of Technological Innovation And Industrial Innovation, Wei Lyu
Bulletin of Chinese Academy of Sciences (Chinese Version)
From both theoretical and domestic and international practical perspectives, this study analyzes the connotation and classification of demand-oriented basic research. It examines the expenditure structure, main pathways, and major existing problems of demand-oriented basic research in China. Based on three levels—strategically guided systematic basic research, frontier-guided exploratory basic research, and market-oriented applied basic research—it categorizes and studies the funding mechanisms and organizational models of demand-oriented basic research in combination with practice, and provides relevant suggestions for improving the quality enhancement mechanisms of demand-oriented basic research.
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 …
Viewpoints On Elevating Capability And Appreciation Of Basic Research, Guojie Li, Wei Zhao
Viewpoints On Elevating Capability And Appreciation Of Basic Research, Guojie Li, Wei Zhao
Bulletin of Chinese Academy of Sciences (Chinese Version)
The overall capability and appreciation of a country’s basic research are not solely determined by the efforts of individual researchers, but also hinge on the country’s scientific and technological institutional mechanisms and policies. This article presents several viewpoints and suggestions from the perspectives of comprehensively and deeply understanding the connotation of basic research, increasing the proportion of investment in basic research, enhancing the stable support for basic research, and the paradigm shift of AI-driven basic research. These suggestions include: by 2030, adjusting the ratio of pure basic research to oriented basic research from 3.5∶6.5 to 4.5∶5.5, maintaining a balance between …
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Preface Of National Think Tank In Science And Technology: Ai Empowers Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Disciplinary System Of Artificial Intelligence: Connotation, Architecture, And Development Suggestions, Academic Divisions Of The Chinese Academy Of Sciences Discipline Group Of Advisory Project On Ai-Empowered Scientific Research
Bulletin of Chinese Academy of Sciences (Chinese Version)
The discipline of artificial intelligence studies the theories, methods, systems, applications, enabling functions, ethics, and governance of artificial intelligence, and is a typical interdisciplinary field. With the rapid development of artificial intelligence in recent years, its disciplinary connotations and system architecture urgently require renewed examination. Based on the analysis of development trends of artificial intelligence, this paper elucidates the connotations of the AI discipline from four perspectives: theoretical methods, forms of intelligence, disciplinary integration, and application empowerment. It further proposes a disciplinary system framework for artificial intelligence comprising foundational supporting disciplines, core body of knowledge, major forms of intelligence, and …
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 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 …