Science and Technology Policy Commons^™

The End Of Unmeasured Exploitation: How A.S.M., C.A.S., And S.I.A. Challenge Digital Attention Capitalism, Delante Clark

Graduate Scholarship and Creative Works

Digital attention capitalism generates value through the capture and monetization of human attention, yet it has historically lacked standardized mechanisms for measuring attention-related harm. This paper argues that the Attention Safeguard Models (A.S.M.), Cognitive Attentional Standards (C.A.S.), and Sociological Impact Assessment (S.I.A.) collectively challenge this system by introducing an integrated framework for classifying, measuring, and evaluating digital attention harm and its societal consequences. C.A.S. provides standardized measurement of digital attention harm, A.S.M. identifies and classifies patterns of attentional disruption and manipulation, and S.I.A. evaluates broader impacts on institutions, communities, civic engagement, education, social cohesion, and inequality. Together, these systems transform …

Evolution Of Economic Geography’S Focus On Resource Studies: Historical Trajectory, Research Progress, And Emerging Trends, Yanxiang Fan, Canfei He

Bulletin of Chinese Academy of Sciences (Chinese Version)

Amid the intertwined contexts of global climate change, the reshaping of the geopolitical landscape, and China’s economic transformation, complex issues in the resource sector have increasingly come to the fore, highlighting the urgent need for systematic research from the perspective of economic geography. This study constructs an interactive analysis framework of core–extended dimensions to systematically review the developments and trends in resource research from an economic geography perspective. This study establishes a two-layer theoretical analysis framework of core and extended dimensions. The core dimension includes four aspects: resource elements in regional economic development, resource flows in global trade networks, resource …

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

Fintech Enables Regional Economic Growth And Coordinated Development, Xirong Huang, Jichang Dong, Xiuting Li, Zhi Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on multi-source big data, this study analyzes the current situation and internal logic of fintech enabling regional economic growth and coordinated development in the new development stage, from the aspects of stimulating R&D, promoting talent dividend process, and amplifying regional spillover effect, in view of the current challenges facing China’s regional coordinated development. Then, it analyzes the challenges and problems in fintech-enabled regional coordinated development, including the significant regional fintech gap, obstacles in the effectiveness of fintech in underdeveloped regions, the lack of fintech talents, and the fintech regulation and information protection system need to be improved. Finally, corresponding …

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

Bulletin of Chinese Academy of Sciences (Chinese Version)

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

Building Ai-Native Innovation System To Drive Transformation And Innovation In Research Organization And Management Models, Hong Xuehai

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is profoundly reshaping research paradigms. This study aims to analyze the intrinsic mechanisms through which AI empowers scientific research and its impact on the organizational management models of research. By summarizing what AI can and cannot do in empowering research, it reveals the current effectiveness and capability boundaries of AI in this domain. Based on the extraction of common core conditions for AI-empowered research and the deconstruction of typical cases of AI-enabled research organizational models, this study analyzes the differences between the organizational management model of AI-empowered research and traditional research organizational models. Furthermore, it proposes three …

Understanding And Foresight On Construction Of Foundation Model Industry Innovation Ecosystem, Liu Liu, Chunhui Jia, Yangfan Han, Qiqi Zhang, Jialin Li, Dayuan Li, Junpu Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Foundation models are a key vehicle driving artificial intelligence toward general intelligence, and their industrialization urgently requires support from a systematic and collaborative innovation ecosystem. This study focuses on the construction of the foundation model industry innovation ecosystem. It first reviews the frontier progress and identifies its essence as a complex innovation network featuring the three-dimensional synergy of technological, organizational, and industrial architectures, and then analyzes the architecture along the upstream, midstream, and downstream of the industrial chain: the upstream supports computing power and data, the midstream undertakes algorithmic innovation and platform services, and the downstream realizes multi-scenario value transformation. …

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 …

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 …

Technological Innovation, Industrial Development And Financial Support, Yiming Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Currently, the new round of technological revolution is accelerating its breakthroughs, and scientific and technological innovation has become the main battlefield for the competition among major countries. Facing increasingly fierce international competition in science and technology, China must strengthen the orientation of original innovation in scientific research and technological development, shift from “catching up” to “keeping pace” and “taking the lead” in more fields, from innovation in terminal products to breakthroughs in key core technologies, and from integrated innovation to original innovation. In recent years, China’s industrial competitiveness has significantly enhanced, mainly due to the gradual formation of advantages such …

Ai Is Taking Over!: A New Generation Of Unemployment Fears, Amaya V. Hepburn

Student Scholar Symposium Abstracts and Posters

The growing panic surrounding AI taking over the workforce is strong in a distinct group of demographics, in contrast to the fear of computers taking over the workforce that was seen in previous generations. This suggests that AI developments have sparked a wave of fear that is unlike the fear of tech developments in the past. I have discovered that this fear is prevalent across several demographics: age, employment, and income. By cross-analyzing through the 2017 and 2025 fear surveys, I discovered that fear of AI is more prevalent in younger generations and is more threatening to students entering the …

Artificial Intelligence And The Future Of Global Inequality, Valentina Caceres

Posters - 2026

Artificial Intelligence (AI) is rapidly becoming a central tool in the global system, shaping economic growth, political power, and international influence. While AI is often celebrated for innovation and progress in different sectors like education, healthcare, security and more, its development is uneven and mostly concentrated in wealthy countries. Because AI is increasingly embedded in economic production, public administration, and social services, access to AI capabilities has become a key determinant of global competitiveness and influence. Many developing nations lack the capital, infrastructure, and technological capacity needed to compete in the global economy driven by AI. This imbalance matters because …

Opportunities, Challenges, And Conspicuous Absences: An Integrative Review Of The Social Work Literature On Artificial Intelligence, Michael J. Massey, Ian G. Williams, Grace C. Polistina, Eathan A. Breaux

Publications and Research

INTRODUCTION: Social work discourse regarding artificial intelligence (AI) in practice, research, and education has proliferated over the last 5 years, reflecting both excitement over its potential and ambivalence about its ethical challenges. However, the extent to which social work is fully engaging with the structure of AI and its enormous impacts on the environment, labour, and distribution of power remains unclear.

METHODS: An integrative review of social work literature from 2020–2024 was conducted to address two research questions: 1) What is the nature of the social work discourse related to AI? 2) To what extent is the discourse …

Monetary System Upgrade Driven By Financial Technology: Path Exploration And Practical Insights Based On E-Cny, Chen Chen, Hong Chi, Ping Zhang, Yilei Liang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Financial technology (fintech) is a key variable reshaping national financial competitiveness, and promoting the digital upgrade of the monetary system is a core task in building a financially strong nation. As a pivotal component of the monetary system, the electronic Chinese yuan (e-CNY), based on its inherent fintech attributes, serves as a critical practice for driving the monetary system towards a more advanced stage of evolution. Currently, the traditional monetary system faces three major challenges: low efficiency and high risks in cross-border payments, structural attenuation in monetary policy transmission, and a lack of digital safe-haven assets. Starting from the pilot …

Practices And Reflections On Systematic Construction Of Proof-Of-Concept Center, Weiwei Zhang, Pengju Zhao, Yu Chu, Minglei Ding

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a crucial vehicle for the deep integration of scientific and technological innovation with industrial innovation in the “first mile”, the proof-of-concept (PoC) center is increasingly playing a pivotal role in areas such as outcome assessment, risk control, and technology transfer. This study systematically reviews the phased achievements in the construction of PoC centers in China. It addresses the challenges faced in the current development of PoC centers, including the lack of a value consensus in the institutional system, value-sharing collaborative channels, and value-coexisting resource allocation. The study analyzes the practical explorations of the PoC Center under the Science and …

Promoting Joint Development Of Digital Standards For The Belt And Road Initiative: Achievements, Challenges, And Future Strategies, Xiaolei Sun, Longfei Li, Lili Yuan, Yu Song, Dayong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a foundational regulatory framework in the digital economy era, digital standards serve as critical infrastructure for facilitating technological coordination, enabling data circulation, driving industrial upgrading, and ensuring security safeguards. Nevertheless, current practices reveal that the U.S. and Europe are strategically constraining China’s digital standardization efforts through the politicization of technical specifications and the imposition of cross-border data flow barriers, while China continues to face deficiencies in core technology innovation autonomy and influence within international standardization bodies. This study conducts a systematic analysis of the developmental trajectories, practical outcomes, and contemporary challenges in advancing digital standard co-construction under the Belt …

The Effect Of The Affordable Care Act Medicaid Expansion On The Risk Of Hospital Closure And Adolescent Hpv Immunization In Rural Counties, Juliette Des Rosiers

Scripps Senior Theses

From 2005 to 2025, over 200 rural hospitals shut their doors, often citing increased operational costs, staffing shortages, low patient volume, regulatory barriers, financial challenges exacerbated by the COVID-19 pandemic, and uncompensated care as common contributors to the closures. Rural patients are often referred by their primary care physician to a hospital for regular immunizations, since smaller clinics have less capacity to provide immunizations due to a shortage of pediatricians and limited vaccine stock. A crucial vaccine that is not required by schools and underutilized in rural areas is that against human papillomavirus (HPV), a virus that infects cutaneous and …

Exploring Pathways To Resolve Structural Contradictions In Service Consumption Empowered By Digital-Intelligent Technologies, Yue Yang, Desheng Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Service consumption serves as a crucial engine for high-quality economic development. In China, service consumption is experiencing a stage of “simultaneous growth in quantity and quality”, yet it faces structural contradictions such as supply-demand imbalance, urban-rural disparities, information asymmetry, and regulatory lag. Focusing on how technology enables the reconstruction of full-chain service consumption scenarios, the study systematically analyzes core bottlenecks, explores technology-driven paths and institutional innovation strategies, and provides policy references for addressing the structural contradictions in service consumption.

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.

Preparing For The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Kian Parikh, Taylor Volk, Maisoon Faris, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data from the Brainly report, “Here Are the States Most (and Least) Prepared to Win the AI Race in 2025” for the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah. This fact sheet highlights the national and individual rankings of four key metrics for each Mountain West state: the fixed percentage of businesses using artificial intelligence (AI); the number of AI jobs per 1,000 workers; the number of AI-related degrees per 10,000 people ages 20-24; and federal funding for small business technology innovation per $1 million of gross domestic product (GDP).

Artificial Intelligence (Ai) And The Anthropic Economic Index In The Mountain West, 2025, Cason Noll, Olivia K. Cheche, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state.

Federal Funding In The Mountain West, 2021-2024, Isabelle G. Graham, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Elections & Governance

This fact sheet presents data on the number of federal funding awards granted to the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah between 2021 and 2024. These awards include investments authorized under major federal legislation such as the Inflation Reduction Act (IRA), CHIPS and Science Act, and Bipartisan Infrastructure Law (BIL), among other programs tracked by Invest.gov. The One Big Beautiful Bill Act (OBBBA) will see funding for these programs sunsetted (terminated as the above legislation expires).

The Chemistry Workforce In The Mountain West, 2022, Sean Curry, Otoniel Ramos, Mohit Pande, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2022 data on the industrial chemistry workforce in five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah. The American Chemistry Council’s (ACC’s) report, “2023 Guide to the Business of Chemistry,” offers insights into the chemistry industry’s role in the U.S. economy. This fact sheet focuses on 2022 state-level data related to the number of chemistry establishments, the number of individuals employed in the industry, and the average wages and salaries of industry workers in the Mountain West.

Elder Fraud In The Mountain West, 2023, Taylor Volk, Madison Dwyer, Caitlin J. Saladino, William E. Brown Jr.

Criminal Justice

This fact sheet presents data on complaints of fraud affecting individuals over the age of 60 and associated financial losses reported by elderly individuals in the Mountain West. The 2023 Elder Fraud Report serves to illuminate trends in elder fraud reports throughout the 50 U.S. states, Washington, D.C., Puerto Rico, Guam, U.S. Minor Outlying Islands, American Samoa, U.S. Virgin Islands, and Northern Mariana Islands. This fact sheet focuses on elder fraud data for the Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah.