Ssw 701.50: Social Welfare Policy,
2026
CUNY Graduate Center
Ssw 701.50: Social Welfare Policy, Ian G. Williams
Open Educational Resources
This syllabus is an Open Educational Resources (OER) remixed version of SSW 701.50: Social Welfare Policy, which is taught at the Silberman School of Social Work at Hunter College. This version updated the content and integrated additional OER materials, as part of the Summer 2026 cohort of The Open Knowledge Fellowship at the Mina Rees Library. It is a Zero-Textbook (ZTC) cost course and integrates materials from a range of academic disciplines. Official course description is as follows:
"This foundation course furnishes you with the orienting knowledge and skills needed to examine social welfare policies and to understand their relevance …
A Multi-Dimensional Analysis Of China's Future Industry Development Policy Documents,
2026
1.College of Public Administration and Law, Hunan Agricultural University, Changsha 410128
2.Green Development Strategy Research Institute, Guizhou University of Finance and Economics, Guiyang 550025
A Multi-Dimensional Analysis Of China's Future Industry Development Policy Documents, Tianxiang Yao, Wang Xu
Journal of Scientific Information Research
[Purpose/significance] Future industries are important carriers of new quality productive forces which can play a leading role in the economic and social development. Quantitative analysis and evaluation of China's future industry policies can provide support and reference for the formulation, optimization and adjustment of subsequent policies. [Method/process] Taking a total of 84 policy texts at the central, provincial, municipal and county levels in China as the research objects, a three-dimensional analysis framework of "theme-tool-effectiveness" was constructed. By comprehensively applying LDA thematic analysis, content analysis and PMC index model, theme distribution, content characteristics and comprehensive effectiveness of policy texts were deeply …
Nh Ece Research Consortium Research & Evaluation Stakeholder Map,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium Research & Evaluation Stakeholder Map, Jess Carson, Evan England, Lisa Bauer
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 organizations that contribute to research and evaluation in NH ECE. These maps rely on contributions, updates, and refinements from the field and are meant to be a shared resource reflecting the complexity and partnerships in New Hampshire'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.
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.
New Hampshire Families' Ece Needs And Preferences Project Summary,
2026
University of New Hampshire, Durham
New Hampshire Families' Ece Needs And Preferences Project Summary, Jess Carson
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.
Nh Ece Research Consortium One-Pager,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium One-Pager, 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 the use of data. This one-pager briefly describes what the Consortium does, who is involved, and how to learn more.
July 2026 Nh Ece Research Consortium Newsletter,
2026
University of New Hampshire, Durham
July 2026 Nh Ece Research Consortium Newsletter, Jess Carson, Evan England, Harshita Sarup
New Hampshire Early Care and Education Research Consortium
The July 2026 NH ECE Research Consortium Newsletter includes a link to the newly released statewide ECE research agenda. Also find the latest research publications, Consortium resources, upcoming events, opportunities, and more.
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.
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.
Nh Ece Research Consortium Community Stakeholder Map,
2026
University of New Hampshire, Durham
Nh Ece Research Consortium Community Stakeholder Map, Jess Carson, Evan England, Rachel Filippone, Elizabeth Belsito
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 community-based organizations 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.
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 …
