Nh Ece Research Consortium State Government Stakeholder Map,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium State Government Stakeholder Map, Jess Carson, Evan England, Briana Ermanni
New Hampshire Early Care and Education Research Consortium
New Hampshire's early care and education (ECE) ecosystem is complex and includes a broad, dynamic community of people and organizations who contribute to and rely upon ECE research. This visual stakeholder "map" documents the areas of state government that support the NH ECE field. These maps rely on contributions, updates, and refinements from the field and are meant to be a shared resource reflecting the complexity of partnerships in NH's ECE ecosystem.
Nh Ece Research Consortium 2026 Activity Timeline,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium 2026 Activity Timeline, Jess Carson, Evan England
New Hampshire Early Care and Education Research Consortium
The New Hampshire Early Care and Education (NH ECE) Research Consortium is a network of researchers and research users committed to strengthening the state's ECE landscape through data. Discover what Consortium staff have accomplished so far this year in the 2026 Activity Timeline.
Nh Ece Research Consortium Research Funder Stakeholder Map,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium Research Funder Stakeholder Map, Jess Carson, Evan England, Kamala Nasirova
New Hampshire Early Care and Education Research Consortium
New Hampshire's early care and education (ECE) ecosystem is complex and includes a broad, dynamic community of people and organizations who contribute to and rely upon ECE research. This visual stakeholder "map" documents the research funders that support NH ECE. These maps rely on contributions, updates, and refinements from the field and are meant to be a shared resource reflecting the complexity of partnerships in NH's ECE ecosystem.
Factors/Conditions For Nh Home-Based Providers Operations Survey Recruitment Flyer (Spanish),
2026
University of New Hampshire
Factors/Conditions For Nh Home-Based Providers Operations Survey Recruitment Flyer (Spanish), Child Trends
New Hampshire Early Care and Education Research Consortium
No abstract provided.
Factors/Conditions For Nh Home-Based Providers Operations Survey Recruitment Flyer (English),
2026
University of New Hampshire
Factors/Conditions For Nh Home-Based Providers Operations Survey Recruitment Flyer (English), Child Trends
New Hampshire Early Care and Education Research Consortium
No abstract provided.
Cultural Effectiveness In Early Care And Education Systems In New Hampshire Project Summary,
2026
University of New Hampshire, Durham
Cultural Effectiveness In Early Care And Education Systems In New Hampshire Project Summary, Evan England
New Hampshire Early Care and Education Research Consortium
No abstract provided.
Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design,
2026
University of Central Florida
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,
2026
University of Central Florida
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 …
Building Basic Research Ecosystem To Consolidate Foundation Of Strong Nation,
2026
Chinese Academy of Sciences, Beijing 100864, China
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,
2026
Department of Innovation and Development Research, Development Research Center of the State Council, Beijing 100010, China; School of Economics, Shandong University, Jinan 250100, China
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,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
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 …
Viewpoints On Elevating Capability And Appreciation Of Basic Research,
2026
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
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 …
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Problem Formation In Basic Research: Historical Evolution And Contemporary Transformation, Jialing Lyu, Ying Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
“Topic selection” in basic research has long been a central issue in S&T and innovation policy. Traditionally, it has often been understood as the processes of designating promising projects from an existing topic list through peer review and procedural evaluation. Nevertheless, major scientific problems do not always preexist within disciplinary systems, nor are landmark scientific discoveries artificially pre-planned in advance. Rather, they gradually emerge through the continuous interaction among national strategic demands, technological evolution, industrial transformation, and major real-world challenges. This study argues that important directions in basic research are often shaped by the sustained pull of real-world problems on …
Deep Learning Processor: Road To Fundamental Research On Ai Chip,
2026
State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Deep Learning Processor: Road To Fundamental Research On Ai Chip, Yunji Chen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Deep learning processor chips serve as an important computation foundation for the artificial intelligence industry, thus has attracted widespread attention from the international communities. The Institute of Computing Technology, Chinese Academy of Sciences took the lead in initiating fundamental research on deep learning processor chips in 2008. At that time, this research direction had not yet entered the mainstream vision of the international communities, with its academic value and development laws yet to gain widespread recognition, and it was confronted with the challenges of three fundamental scientific issues concerning its significance, principle, and architecture.To address the above issues, the research …
Leading Big Science Initiative And Boosting Basic Research,
2026
Carbon Neutral Innovation Research Center, Xiamen University, Xiamen 361005, China
Leading Big Science Initiative And Boosting Basic Research, Nianzhi Jiao
Bulletin of Chinese Academy of Sciences (Chinese Version)
As a core model for conducting cutting-edge research through global collaboration, major international science initiative (ISI) has comprehensively reshaped the development scope, resource landscape, research paradigms, talent systems, and governance ecosystems of basic research (BR). ISI and BR are deeply integrated and iteratively coordinated, forming a vital strategy for humanity to tackle major global scientific challenges. Against the backdrop of deep intertwining between scientific and technological competition and global governance, China taking the lead in ISI has become a strategic imperative for the new era, with the UN Ocean Decade Program ocean negative carbon emissions (ONCE) serving as a successful …
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research,
2026
Graduate School of China Academy of Engineering Physics, Beijing 100193, China
On Crucial Role Of The Spirit Of Chinese Scientists In Basic Research, Xin Wang, Chuanxi Wang, Changpu Sun
Bulletin of Chinese Academy of Sciences (Chinese Version)
Basic research is the source of original innovation and the foundation for building a strong nation in science and technology. Compared with applied development research and engineering research, basic research is primarily concerned with exploring the frontiers, proposing new concepts, discovering new laws, and establishing new theories. Its outcomes are often difficult to predict in advance and are rarely subject to sufficient experimental and practical verification within a short time frame. These characteristics expose basic research to three inherent challenges in the philosophy of science. First, the experimental verification of fundamental theories often requires a long period of time. Second, …
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions,
2026
American University in Cairo
Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab
Theses and Dissertations
Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …
Educational Governance And Policy Implementation In Conflict-Affected Contexts: The Case Of Hadhramout, Yemen,
2026
The American University in Cairo AUC
Educational Governance And Policy Implementation In Conflict-Affected Contexts: The Case Of Hadhramout, Yemen, Naa'ma M. Al-Hendi
Theses and Dissertations
Education remains a vital component of societal resilience and development in a world increasingly defined by conflict and instability. Education during conflict is crucial for academic learning and providing essential life skills and psychosocial support to children affected by war. Yemen is being plagued by political upheaval and a lack of economic flow to keep education running efficiently. Although Hadhramout, a governorate in Yemen, remains relatively stable, its education sector continues to face persistent challenges that hinder the quality and effectiveness of education. This study investigates the key challenges facing K-12 education in Hadhramout and examines the extent to which …
When School Culture Excludes: Deficit Discourse, Microaggressions, And The Mental Health Of Marginalized Students – A Conceptual Framework With Implications For School Psychology Practice And Equity Policy,
2026
Mississippi State University
When School Culture Excludes: Deficit Discourse, Microaggressions, And The Mental Health Of Marginalized Students – A Conceptual Framework With Implications For School Psychology Practice And Equity Policy, Modupe Mercy Oyewunmi
Publications
Deficit-laden language like ‘behavior problem,’ ‘not college material,’ ‘won’t fit in’, ‘not a cultural fit’, operates as a systemic form of implicit bias and microaggression in school settings. Despite decades of research on school belonging and well-being, school psychology has yet to integrate these exclusionary discursive practices into a coherent health-determinant model that also accounts for the current anti-diversity, equity, and inclusion (DEI) policy environment. This conceptual paper proposes a testable framework linking deficit discourse and school-based microaggressions to student identity suppression, academic impostor phenomenon, and educator moral injury, with downstream effects on school mental health outcomes. We situate these …
New York State Excelsior Scholarship Program: A Post-Implementation Analysis Of Student Success, Eligibility, And Indebtedness – An Intersectional Study Of Black And White Female Students,
2026
CUNY Graduate Center
New York State Excelsior Scholarship Program: A Post-Implementation Analysis Of Student Success, Eligibility, And Indebtedness – An Intersectional Study Of Black And White Female Students, Marcus I. Richardson
Dissertations, Theses, and Capstone Projects
The New York State (NYS) Excelsior Scholarship Program, introduced in 2017, was designed as a “first-in-the-nation” tuition-free initiative intended to expand college affordability for undergraduate students attending public institutions in New York State. While the program aims to increase access to higher education, its eligibility requirements, particularly the expectation that students complete 30 credits annually through continuous full-time enrollment, may disadvantage students whose academic pathways diverge from traditional enrollment patterns. This study examined the relationship between structural, financial, and academic factors and students’ ability to retain Excelsior Scholarship eligibility at the City University of New York (CUNY). Using institutional data …
