Session 6

Indigenous Community Development, Governance, and Organizational Development in the Asia-Pacific Region

P49  Action Research on AI-empowered Social Work Intervention in High-density Urban Community Environmental Governance

*Minxia Hu¹

¹School of Law and Sociology, Chongqing Technology and Business University, Chongqing, China

Abstract

Background and Purpose: Community environmental governance is an important part of grassroots social governance. Resident participation is the core to implementing the vision of co-construction, co-governance and shared benefits, and to improving the effectiveness of community environmental governance. However, in practice, challenges such as insufficient sustained resident participation, irrational layout of waste disposal points, and fragmented data collection often restrict governance efficiency and outcomes. Therefore, exploring pathways for AI-empowered social work to intervene in urban community environmental governance has become an important direction for enhancing governance effectiveness.

Methods: Based on the paradigm of community action research, this study takes “Blue Map”, a localized intelligent platform for collaborative environmental governance, as the core carrier, and constructs a human-machine collaboration model featuring “algorithm-driven information processing and social work-facilitated relationship building”. In practice, social workers act as “algorithm translators” and “community collaborators”, empowering residents to become “distributed intelligent sensing nodes” of the community environment. Through activities such as the “Waste Sorting Snap & Report” campaign, residents are guided to contribute structured data with the support of intelligent tools including automatic positioning and image recognition. Meanwhile, a two-tier incentive mechanism is designed, combining real-time algorithmic feedback and social incentives provided by social workers. This model forms an enhanced loop for community governance: data-driven diagnosis, social work-linked response, and visualized outcome feedback.

Results: Practice shows that the model has significantly improved both governance efficiency and the sustainability of public participation. First, governance efficiency has been remarkably enhanced. In the “Snap & Report” campaign, while maintaining similar community coverage (about 730 neighborhoods) as the first phase, the project cycle of the second phase was shortened by 62.5% (from 8 months to 3 months), representing an increase of approximately 167% in governance efficiency per unit time. Second, the depth of participation has been continuously deepened. Driven by the combined incentives of social work and intelligent design, residents’ participation has shifted from tentative behavior to habitual practice, with the average monthly volume of valid data contributions increasing by 84% compared with the first phase. This demonstrates that by using AI to automate repetitive information tasks, social workers can redirect their professional capacity to the core areas of community relationship building and endogenous capacity cultivation, thereby achieving a systematic upgrade in governance effectiveness and professional value.

Conclusions and Implications: This practice verifies a community governance pathway suitable for high-density Chinese cities: intelligent platforms improve efficiency, while social work ensures implementation. Its success lies in the effective integration of global intelligent technologies, localized governance wisdom, and professional ethics of social work. This study not only provides empirical evidence for the role transformation of social workers in the AI era, but also offers an actionable reference for balancing technological empowerment and human-centered implementation in high-density urban communities.

P50  From Expected Support to  Accountability Burden: Community Workers’ Views of Generative AI in  Grassroots Governance

*Yuran Shao¹

¹School of Social and Public Administration, East China University of Science and Technology, China

Abstract

Background and Purpose: Pilot projects integrating generative artificial intelligence (AI) into grassroots governance have been launched at the community level in Beijing, Shanghai, Jinan, and other cities. This trend is transforming the daily work processes of community workers and their existing interaction patterns with residents. Existing research, framed around the high-quality development of digital social work, points out that generative AI has advantages in standardization, but also suffers from insufficient contextual knowledge and technological bias, which may further blur lines of responsibility and lead to ethical dilemmas of accountability. Current discussions on the impact of AI integration on community workers are mostly theoretical and lack practice-based evidence. Therefore, this paper aims to explore how different technology-mediated governance scenarios shape how community workers perceive and assign roles to AI, in order to provide empirical evidence for the digital transformation of social work and the AI-enabled transformation of grassroots governance.

Methods: This study adopts a qualitative research design and conducts semi-structured interviews with 12 community workers. Six were from communities where AI has not yet been integrated, and six were from communities where AI has already been integrated. Purposive sampling was used. The interviews focused on respondents’ views on AI participation in governance under different technology-mediated governance scenarios. Each interview typically lasted 40 minutes. The interview data were transcribed, and thematic analysis was conducted, with NVivo 15 used for data management and coding. All interviewee information was anonymized.

Results: The study found that, in community governance scenarios where AI had not yet been embedded, respondents had higher expectations for AI’s efficiency gains and communication support, and preferred the introduction of automated decision-making, so that AI could act as a “process manager.” Their concerns about the risks and burdens of AI integration remained at the level of abstract technical bias and potential inaccuracies. However, community workers in AI-embedded governance scenarios viewed AI as a transaction-processing tool embedded in governance processes. In interviews, they acknowledged AI’s value in reducing workload in document processing, information retrieval, and data organization, but were cautious about automated decision-making, repeatedly mentioning record-keeping requirements and the burden of accountability, portraying AI’s role as a dual “support–oversight” entity.

Conclusions and Implications: This study argues that AI integration into grassroots governance is associated with differences in community workers’ perceptions of AI’s role. At the practice level, if AI is mainly used for assessment and review, even if it improves efficiency, it is easily perceived as a burden. Greater emphasis should be placed on collaborative support, shifting training focus from operational skills to situational judgment, bias identification, and ethical interpretation, enabling community workers to form a positive human–AI collaborative relationship in AI-embedded community governance.

P51  Operation Practice of Street Social Work Stations under the "Five-Society Linkage" Mode——A case study on L Street Social Work Station

*Zhe Wang¹

¹College of Humanities and Law, Huazhong Agricultural University, Wuhan, China

Abstract

Background and Purpose: Against the backdrop of China’s social transformation and rapid economic development, the traditional community governance model dominated solely by the government is insufficient in addressing complex community issues and the diverse needs of residents, with the contradiction between resources and governance efficiency becoming increasingly prominent. The 2021 "Opinions on Strengthening the Modernization of the Grassroots Governance System and Governance Capacity" provides policy support for the "Five-Society Linkage" model. Nevertheless, township (street) social work stations, as key hubs, encounter operational challenges, which result in the phenomenon of "linkage without action" among the five societies. This study aims to explore their operational practices, identify existing dilemmas, and propose optimization strategies empowered by artificial intelligence. 

Method: A case study method was adopted, taking L Street Social Work Station as a typical case, combined with semi-structured interviews and participant observation. The station was selected for its mature service system and typical multi-subject collaboration in disability assistance projects. Data were collected through analyzing its organizational structure, service model and resource allocation, with qualitative analysis applied to summarize experience and identify challenges. 

Results: Guided by the actual needs of visually impaired groups, L Street Social Work Station implemented the disability assistance project under policy guidance. Each subject played distinct and indispensable roles: social workers designed professional services based on demand assessment; communities provided financial and venue guarantees and integrated resources; volunteers assisted service delivery and promoted social integration; charitable resources offered stable financial and material support; social organizations undertook specific service tasks. Four interaction modes (decision-dependent, task-cooperative, skill-complementary, demand-matching) achieved interest sharing. Nevertheless, four challenges existed: lack of trust between social workers and communities due to community-controlled key resources and project acceptance rights; lack of micro-cooperation norms with unclear responsibilities and unbalanced resource allocation; structural coordination network defects affecting work efficiency and service quality; conflict between social work stations’ professional autonomy and administrative tendency. AI can effectively address these challenges by optimizing resource allocation efficiency and breaking down communication barriers among multiple entities. 

Conclusion and Implications: The "Five-Society Linkage" achieves multi-subject collaboration but faces four key challenges. AI intervention can effectively empower its operation. Specific AI-enabled policy suggestions: first, build an intelligent resource allocation and supervision platform, integrate resources data, realize real-time scheduling and supervision via AI, and establish an intelligent early warning mechanism. Second, develop an intelligent communication and evaluation system, set up an AI information sharing platform for real-time synchronization, and introduce a third-party intelligent evaluation model. Third, construct an intelligent responsibility management system, embed responsibility lists and service standards, realize matching, early warning and targeted training via AI. Fourth, optimize the intelligent collaboration network, build an AI demand-resource matching platform and an intelligent supervision and complaint module. These suggestions provide theoretical and practical support for grassroots governance policies and clear directions for future AI-assisted social work practice and research.

P52  Towards Developmental Equity: Practice and Reflection on County-level Social Work Services for Rural Children in Distress—A Case Study of the "Border Town Seedling Protection" Project in Xiushan County, Chongqing

*Jie Wu¹

¹School of Public Policy and Administration, Chongqing University, Chongqing, China

Abstract

Grounded in Amartya Sen’s Capability Approach, this study addresses the structural impediments to upward social mobility for rural children in distress during China’s rural revitalization, defining "Developmental Equity" as a justice logic aimed at expanding substantive freedom by eliminating functional obstacles. By constructing a tripartite analytical framework of "Rights Protection—Capability Conversion—Opportunity Equity," the research deconstructs the intervention pathways and limitations of county-level social work services. Methodologically, the study employs a case study approach, focusing on the "Border Town Seedling Protection" project in Xiushan County, and utilizes policy text analysis alongside systematic reviews of project reports and practice documents to inductively analyze the generative mechanism of developmental equity. The findings reveal a sequential logic chain in the generation of developmental equity: first, county-level social work, via a three-tier (county-township-village) service network, significantly enhances the accessibility and precision of welfare resources, thereby consolidating Rights Protection; second, by implementing psychological counseling and repairing guardianship functions, interventions activate subjects’ agency to transform external resources into internal qualities, driving Capability Conversion. However, the study identifies a pronounced lag in Opportunity Equity, the final stage of developmental equity, which is primarily attributed to macro-environmental constraints, including the unequal distribution of educational resources under the urban-rural dual structure, the digital divide, and the scarcity of social capital. Consequently, the research concludes that a systemic decoupling exists between micro-professional empowerment and macro-institutional supply, preventing individual capability improvements from effectively translating into upward social mobility. The study argues that future social work should strengthen policy advocacy and institutional participation alongside micro-level empowerment, aiming to optimize macro-environmental supply to hedge against structural constraints and ultimately achieve developmental equity for rural children in distress.

P53  Using Social Capital in Frontline Social Work Practice: Practice Evidence from Social Work Service Stations in Guangzhou

*Juxiong Feng¹, Yuk Yee Lee², Xuhong Li³, Pengpeng Cai⁴

¹Hong Kong Baptist University, Hong Kong, China; ²UOW (University of Wollongong) College Hong Kong, China; ³The University of Hong Kong, Hong Kong, China; ⁴Trinity College Dublin, Ireland

 Abstract

Background and Purpose: This study is a qualitative study that explores the social capital strategies used by social workers in the practice process, focusing specifically on Social Work Service Stations (SWSSs) in Guangzhou, China. Most studies tend to focus on the use of social capital for practice purposes. However, there needs to be more consideration for the choice and process of using social capital strategies in social work practices. This study addresses this gap by exploring different choices and application processes of social capital strategies in frontline practice.

Methods: The research applies semi-structured interviews with 30 social workers across three target service areas—youth, family and children, and older adults. Qualitative thematic analysis is employed, and data are coded and analyzed to examine how social workers understand, choose, and apply social capital strategies in the practice process.

Results: The findings show that social capital strategies are embedded in frontline practice processes rather than used as abstract concepts in social work practice. In frontline practice, social workers use associativity strategies to build and strengthen social networks, and mobilization strategies to identify and coordinate different forms of support in response to service users’ needs. What’s more, for youth services, social workers indicated a preference for bridging strategies that create diverse support networks (such as school networks and career professionals) and connect low-income youth with financial resources to meet their needs. Regarding family and children services, it is indicated that caregivers tended to rely on bonding networks with similar backgrounds for emotional support, while social workers tended to facilitate low-income families’ access to financial resources through bridging networks. For elderly services, social workers revealed the patterns that bonding networks are likely to be built to provide emotional support and mobilize community resources to strengthen their connections.

Discussion: By showing how these social strategies are applied in practice, this study provides social workers and other practitioners with a practical application framework and operational guidance for understanding the use of social capital strategies in urban China.

P54  Transformation Mechanisms from AI Use to Dissemination among Social Workers: An Action Research Based on the “Qiangji Classroom” AI Practice Training

*Qirui Zhang¹, Kai Li¹, Dandan Hu¹

¹Shenzhen Shelian Social Work Services Center, Shenzhen, China

Abstract

As artificial intelligence (AI) increasingly enters grassroots public service settings, community social work is confronted with dual challenges: insufficient technological literacy and the ongoing restructuring of service delivery. Although community social workers generally express openness toward AI tools, their actual use remains fragmented and individualized. Existing studies primarily focus on individual adoption intentions and behaviors, with limited attention to how initial use evolves into peer dissemination and collective capability within professional communities. Addressing this gap, this study examines the transformation of community social workers from AI users to peer disseminators. It adopts an action research approach, drawing on an intervention conducted through the “Qiangji Classroom” AI practice training program in Luohu District, Shenzhen. Following a cyclical process of planning, action, observation, and reflection, the researcher engaged as a training collaborator within the field. Data were collected through triangulation of participatory observation, semi-structured interviews, and digital trace analysis, and analyzed using the constant comparative method. The findings identify a situated mechanism of experiential diffusion. AI-related practices are disseminated across three key contexts: intra-team operational demonstrations, practice-embedded mentoring in service scenarios, and instructional activities for community residents. Driven by task requirements and sustained follow-up support, certain key participants undergo a role transition—from passive tool users to active learners and experience disseminators. The externalization of experiential knowledge is further enabled by structured tools and curriculum resources developed around concrete service needs. Building on these findings, this study proposes a practice-context-driven framework of AI capability diffusion, highlighting a dynamic process in which capabilities are generated through iterative practice, peer interaction, and experience externalization. In addition, it develops process-oriented criteria based on behavioral evidence to assess the authenticity of such transformations. By foregrounding the micro-level processes of diffusion, this study extends perspectives such as Diffusion of Innovations and Situated Learning in the context of grassroots social work. It also offers a practical pathway for achieving sustainable and endogenous diffusion of AI capabilities in low-resource community settings.

P55  From the Perspective of the Double-Hundred Project: A Study on the Mechanism and Realization Path of Urban Village (X Village) Renovation and Reconstruction

*Xiangbin Liang¹, Kehong Li¹, Yutian Liao¹, Qiyan Feng¹, Xinyu Wu¹, Jiaxiong Xu¹

¹School of Public Administration, Guangdong University of Finance & Economics, Guangzhou, China

Abstract

Background and Objectives: Research Background: Urban villages (X villages) represent a unique spatial form emerging from the urban-rural integration process, distinct from both traditional rural settlements and established urban areas. As a significant grassroots livelihood service and governance initiative, the "Double-Hundred Project" plays a pivotal role in driving the renovation and reconstruction of such communities by connecting resources, responding to demands, and facilitating multi-stakeholder collaboration. However, current renovation practices are often dominated by capital-driven development logic or administration-led governance logic. This frequently marginalizes spatial needs centered on livelihood services and community development, turning these communities into a form of "residual space" within the transformation process. The multiple actors involved—including social workers from the Double-Hundred Project rooted in the community, grassroots governance cadres, villager representatives, and various social organizations—exhibit significant differences in their intervention methods, interest considerations, mobilization discourse, and spatial implementation strategies. The people-centered development philosophy serves as the core value bond to unite forces within and outside the community and steer the direction of renovation. This raises several core questions: How can the renovation and reconstruction of urban villages (X villages) be effectively advanced within the framework of the Double-Hundred Project? Which entities participate and how do they collaborate? Can this model bring the space for grassroots livelihood services from the margin back to the center? Does the renovation driven by the Double-Hundred Project herald the possibility of constructing a new type of grassroots governance space? Drawing on the concepts and methods of realistic evaluation, this study aims to deconstruct the internal causal mechanisms underlying the renovation of urban villages (X villages) empowered by the Double-Hundred Project. It will analyze four interconnected dimensions: first, the initial context, examining the specific conditions that lead to the formation of "residual space"; second, the objective setting, clarifying the value orientation and tangible construction goals embedded in the renovation; third, the realization path, investigating the strategies for promoting renovation and methods for spatial optimization; and fourth, the final outcomes, assessing the reconstruction of community social relations and the degree to which spatial governance justice is achieved.

Research Questions: Contextual Characteristics: What are the distinctive features of the spatiotemporal context in which the renovation of urban villages (X villages) is initiated during the implementation of the Double-Hundred Project?

1.Dynamic Mechanism: How does the Double-Hundred Project facilitate and activate the internal dynamics for the renovation and reconstruction of urban villages (X villages)?

2.Outcome Evaluation: How can an evaluation system be constructed, from the perspective of the Double-Hundred Project, to effectively measure both the process and outcomes of urban village (X village) renovation?

Research Methods: This research will be conducted using the action research method, based in social work service stations established by the Double-Hundred Project, and will involve deep engagement in urban village (X village) renovation pilot projects. The specific steps are as follows:

1.Problem Identification: Grounded in the practical field, we will identify the real-world issues in renovation, engaging in joint discussion with core stakeholders such as Double-Hundred social workers, community actors, and villager representatives to pinpoint key intervention topics.

2.Plan Formulation: Integrating the service philosophy of the Double-Hundred Project with the local community context, we will collab

P56  Research on the AI-Driven Full-Cycle Refined Governance Paradigm for Community Correctional Social Work

*Qiaomin Wu¹

¹Shenzhen SheLian Social Work Service Center, Shenzhen, China

Abstract

Research Background and Objectives: Currently, the number of individuals under community correction continues to rise, traditional social work support models struggle to meet the requirements for high-quality community correction implementation. This research aims to explore and construct a fine-grained governance paradigm characterized by "intelligent perception, precise assessment, personalized intervention, and collaborative governance," thereby promoting the transformation of AI-empowered social work in community corrections from an experience-driven model to a closed-loop driven by "data + models + execution". The applied objectives of this study are: First, to explore intelligent empowerment application scenarios across the full cycle of "supervision-assessment-education-support". Second, to assess the phenomena of repetitive supervisory assistance and cumbersome documentation existing in grassroots community correction social work, explore the construction of a new, efficient grassroots working model based on human-machine collaboration. Third, to demonstrate the feasibility and compliance of standardized data interfaces and intelligent application modules, providing a reference implementation path for the systematic and intelligent upgrade of community correction work in Shenzhen.

Research Methods: This study primarily employs literature review and interview methods. It involves a comprehensive inductive analysis of literature on topics such as AI-enabled innovation in social work and the application of AI in community corrections. Furthermore, semi-structured interviews were conducted with heads of judicial departments, judicial workers, and social workers across various districts and sub-districts in Shenzhen to understand the pain points and needs in community correction work and the feasibility of applying AI technology.

Research Findings: Through in-depth research, the following three key findings were derived: 1.Building a Full-Cycle Data Fusion and Intelligent Perception Model: This approach can break down data silos across multiple sources such as "pre-trial investigation, in-correction supervision, psychological assessment, and employment needs," establishing a standardized "digital profile" model for correction subjects. This provides a data foundation for dynamic supervision and risk prevention. 2.Designing Deep Application Paths for AI in Key Scenarios: This involves integrating AI throughout the full cycle of community corrections, including dynamic supervision, risk screening, legal education, psychological support, employment assistance, and post-correction evaluation. This enhances the precision of social work in community corrections and creates efficient workflows. 3.Constructing an AI-Driven, Full-Cycle, Fine-Grained Governance Paradigm for Community Correction Social Work: Characterized by "technological empowerment, institutional safeguards, and humanistic care," this paradigm demonstrates broad applicability and potential for promotion. It represents a crucial application channel for the future intelligent upgrade of community correction work.

Research Conclusions and Implications: 1.AI Empowerment Effectively Addresses Core Challenges: The application of AI can effectively solve issues such as inaccurate dynamic risk assessment, insufficient personalization of correction plans, and imprecise matching of support resources in community corrections. 2.Need for Supporting Systems and Evaluation Frameworks: Alongside research on AI technology application, it is essential to strengthen studies on implementation safeguards and effectiveness evaluation systems. 3.Multi-Stakeholder Collaboration is Crucial: Establishing an AI-driven model requires the coordinated efforts of multiple parties, securing support in terms of institutions, funding, technology, and human resources. Particular attention should be paid to the pivotal role of social workers.

P57  Space Production from the AI-Enabled Perspective: A Study on the Localization Path of Community Elderly Universities

*Jingfei Li¹

¹ School of Philosophy and Sociology, Lanzhou University, Lanzhou, China

 Abstract

Background and Purpose: Against the policy background of the national elderly university system extending to the grassroots level, how community elderly universities break through the localized dilemma of "having space but lacking vitality" and realize the effective coupling between national standardized programs and heterogeneous community contexts has become an urgent community issue. Taking Community T as a case, this study attempts to transform idle community spaces into comprehensive elderly care service spaces centered on community elderly universities.

Methods: Adopting the paradigm of action research, this study aims to explore the localized path of community elderly universities empowered by artificial intelligence (AI). Based on Henri Lefebvre's theory of the production of space, this study defines space production as a three-dimensional dynamic process involving physical space transformation, institutional space reconstruction and meaningful space generation.

Results: The findings are threefold: First, at the physical space level, AI technology, through spatial efficiency mapping and intelligent sensing devices, facilitates the paradigm shift of community elderly universities from "standardized allocation" to "precise adaptation". Second, at the institutional space level, intelligent course matching systems and digital "credit bank" platforms drive the rule reconstruction of multiple stakeholders from "administration-led governance" to "deliberative co-governance". Third, at the meaningful space level, AI-enabled community interaction and narrative recording stimulate the identity transformation of the elderly from "passive participation" to "subjective construction".

Conclusions and Implications: This study extracts the localized mechanism of AI Embedding-Space Production-Space Generation, and analyzes the practical path of AI-empowered community space production, converting the national "planned space" into a community-based "differential space". Theoretically, this study advances the localized application of the production of space theory in the digital era. Practically, it provides operable space production paths and AI intervention tools for solving the dilemmas of community elderly education, and contributes a bottom-up institutional innovation approach for the construction of the national elderly university system.

P58  From "+AI" to "AI+" ：Reconstructing the Future of Social Work Institutions

*Jing Yin¹

¹Anhui Ma'anshan Enrich E-Community Social Work Institutions, Ma'anshan, China

Abstract

Background and Purpose: In the AI era, social work within the Chinese context is undergoing a profound transformation, shifting from the mere implantation of technological tools to the fundamental reconstruction of the industry ecosystem. This study focuses on the transformation pathways of social work institutions across three critical dimensions—leadership, organizational management, and workforce development. It aims to explore how institutional leaders can achieve a leadership leap from "+AI" to "AI+", how organizational structures adapt to new models of human-machine collaboration, and how workforce cultivation systems respond to the competency restructuring driven by AI.

Methods: Employing a conceptual research methodology, this paper constructs a systematic theoretical framework based on the universal logic of technological evolution, the theoretical underpinnings of organizational change, and the developmental trends within the social work profession. By synthesizing existing literature and practical observations, the study conducts theoretical deduction to chart the transformation journey of social work institutions in the AI era.

Results: The research reveals three dimensions: Leadership: The fundamental transformation brought by AI lies not in enhancing an individual leader's personal insight, but in the capacity to translate wisdom into institutional design and embed professional judgment into organizational processes. This transformation elevates strategy from occasional "inspiration" to a sustainable and iterative systemic capability. Organizational Management: Institutions are evolving from traditional models of "labor division" towards a "symbiotic" paradigm. Through process digitalization and task reorganization, they are exploring mechanisms for human-machine collaboration. However, most organizations remain in an exploratory phase, grappling with the balance between efficiency gains and ethical considerations. Workforce Development: The role of social workers is shifting from "instrumental executors" to "service coordinators." This new role demands competencies in digital ethics, AI collaboration, and service design. The study finds that current professional training systems are inadequate to meet these emerging needs.

Conclusions and Implications: The research concludes that the transformation of social work institutions in the AI era is fundamentally a profound reconstruction involving core values, institutional arrangements, and professional identity. Drawing upon Chinese philosophical thought and institutional pathways, this paper proposes a "Value-Oriented AI Integration" framework. This framework provides both a theoretical perspective for understanding the transformation of professional social work institutions under technological disruption and practical implications for navigating the future of social work.

P59  Mobile Governance, Party-Building and Social Work: An Action Research on New Employment Groups’Participation in Community Governance

*Fengyan Zhu¹; Wentao Yu¹

¹Shenzhen Dongxifang Social Work Service Center, Shenzhen, China

Abstract

Background and Purpose: The digital economy has nurtured a large new employment group including ride-hailing drivers and food delivery riders. With high mobility, low organizational attachment and weak sense of belonging, they face obvious barriers to community participation and insufficient rights protection, which has become a key challenge for megacity governance in the Asia-Pacific region. The 20th National Congress of the Communist Party of China stresses strengthening Party-building among new employment groups to solve mobile governance dilemmas and optimize social governance systems. Based on social work theories, this action research explores how Party-building leadership promotes effective participation of new employment groups in community governance. It aims to build an integrated framework of "Party-building, social work and digital empowerment", transform new employment groups from governance targets to subjects, and provide a localized paradigm for inclusive and resilient urban governance. This study focuses on three core issues: the connection between mobility characteristics and participation barriers, the construction of a "mobile Party members-social workers-enterprises" collaborative mechanism, and practical social work intervention strategies with digital empowerment.

Methods: This study adopts a dynamic iterative action research and mixed-method design, forming a closed cycle of "problem diagnosis, modeling, intervention and reflection". Data collection combines questionnaires and in-depth interviews with new employment groups, residents, grassroots government staff and enterprise representatives. Action research is carried out through on-site social work services with continuous observation and adjustment. Case studies are conducted in typical communities in Shenzhen, supplemented by policy and literature review. Triangulation of qualitative and quantitative data ensures the reliability and validity of the research.

Results: Findings show that high mobility is the core constraint to community participation; Party-building leadership acts as a critical anchor for cross-domain resource integration; social work intervention serves as an effective lever to enhance participation through personalized services and digital platforms. This study achieves four innovations: a localized three-dimensional mobile governance model of "spatial, institutional and technological re-embedding"; a "governance partner" mechanism encouraging participation in community safety and emergency volunteer services; a methodological shift from static analysis to dynamic iteration; and a replicable model integrating Party-building alliances, service stations, digital platforms and incentive systems.

Conclusions and Implications: This study proves that the synergistic model of Party-building leadership, social work empowerment and digital governance effectively resolves mobility dilemmas and promotes sustainable participation. The findings provide important policy references and practical experience for urban governance. It also enriches the knowledge system of mobile governance and community social work in the Asia-Pacific region, contributing to a more inclusive, equal and resilient society.

P60  From Social Innovation to AI-Supported Care Systems: Rethinking the Silver Economy in Emerging Asia

*Huong Lan Do¹

¹University of Finance and Marketing, Vietnam

Abstract

Population ageing has emerged as a defining demographic transformation across emerging Asia, placing increasing pressure on care systems that remain fragmented and resource-constrained. While the concept of the silver economy has gained prominence in policy and academic discourse, existing approaches tend to be overly market-centric and technology-driven, often overlooking the central role of community-based care and informal support systems. This paper addresses this gap by proposing a hybrid analytical framework that integrates social innovation and AI-supported care systems to rethink the development of the silver economy in emerging contexts. Drawing on theoretical insights from social innovation, active ageing, and community-based development, the study critically examines the limitations of prevailing models and advances a conceptual shift toward community-embedded and co-produced care systems. The paper further employs Vietnam as an illustrative case, focusing on the Intergenerational Self-Help Club (ISHC) model, which demonstrates how community-led initiatives can effectively combine livelihood support, health care, and social participation for older persons. Building on this foundation, the paper explores the potential of artificial intelligence as an enabling layer to enhance coordination, accessibility, and efficiency within such community-based systems, rather than replacing them. The findings suggest that a hybrid model—where social innovation forms the foundation and AI serves as a supportive mechanism—offers a more contextually appropriate pathway for developing inclusive and sustainable silver economies in emerging Asia. The paper contributes to the literature by articulating an alternative developmental trajectory and provides policy and practical implications for countries facing rapid population ageing under institutional and resource constraints.

P61  Practical Logic and Path of Five Social Forces Coordination in Promoting Villagers' Participation in Local Cultural Inheritance

*Yinchuan Li¹

¹Chongqing University, Chongqing, China

Abstract

Background and Purpose: Under the background of rural revitalization, mixed villages in the post-rural society are faced with governance dilemmas such as the loss of main participants in local cultural inheritance, and villagers' weak willingness to participate with a single form. Existing studies lack sufficient discussion on the practical mechanism and path of Five Social Forces Coordination in promoting villagers' participation in local cultural inheritance. Taking the "Shu·Xiang Life Museum" project in Shengtian Village of Chongqing as a case, this study explores the practical path of Five Social Forces Coordination to solve the dual dilemmas of local cultural inheritance and villagers' participation, deconstructs the collaborative operation logic of multiple subjects, and provides localized practical reference for the revitalization of local culture and grassroots community governance in similar mixed villages.

Methods: This study takes the case study method as the core, combined with literature research, semi-structured interview and archive data analysis methods. Taking all participants of Five Social Forces Coordination and villagers of different identities and age groups in Shengtian Village of Chongqing as research objects, it systematically collects relevant data such as project operation, villagers' participation practice and local cultural inheritance, sorts out the whole practical process of Five Social Forces Coordination promoting villagers' participation in local cultural inheritance, and analyzes its intervention strategies and operational characteristics.

Results: By building a multi-subject collaborative mechanism of "community providing platform + social workers' professional leadership + social organizations practicing + volunteers participating + social resources supporting", Five Social Forces Coordination has effectively activated the endogenous motivation of villagers to participate in local cultural inheritance. Villagers' participation has shifted from passive acceptance to active participation, covering the whole links of local cultural excavation, activation, intergenerational transmission and dissemination. The coverage and depth of participating groups have been significantly improved. At the same time, it has broken the identity barrier of mixed villages and achieved the dual effects of living inheritance of local culture and community integration.

Conclusions and Implications: Five Social Forces Coordination provides an effective practical path for solving the dilemma of local cultural inheritance in mixed villages and improving villagers' participation. The complementary advantages and collaborative empowerment of multiple subjects are the key to the practical implementation. This practical exploration enriches the intervention mode of social work in indigenous community development, provides ideas and reference for the multi-subject collaborative practice of rural cultural revitalization and grassroots governance in the Asia-Pacific region, and also lays an empirical foundation for the subsequent in-depth study of the practical logic of local cultural inheritance.