Through cross-sectoral collaboration between NGOs and academia, JCSFL aims to:

  • Enhance functionalities of the integrated service management system to cater for the “New Normal”
  • Develop evidence-based mixed or blended mode of service to better support families in need
  • Enhance digital capacity building for family services sector to sustain digital transformation
  • Generate data intelligence for better service planning and risk assessment to promote sector-wide collaboration

Service Management System (i-Connect)

by the team of Department of Computer Science, HKU

i-Connect provides NGOs a novel solution for family service management, covering client information system, casework, groups and programmes, assessment tools, statistical reports, and other administrative functions. The system helps to reduce manual input and administrative work, facilitate early identification of at-risks cases and perform data analysis.

Data Analysis 

by the team of Department of Computer Science, HKU and School of Nursing, HKU

“Data science for social good” is an emerging big data technology for harnessing insights about user needs, resource planning, and service efficiency in the social sector. The project team will build a state-of-the-art platform, known as the Data Analytics System (DAS), for supporting the analysis and visualisation of various data sources, such as i-Connect, demographics, and maps. DAS aims to strengthen the capability of NGO supervisors and frontline workers in data analytics, by developing user-friendly and intelligent data dashboards customised to their needs, as well as novel technologies such as natural language processing.

With the experience of agency data analytics in Phase 1 of JCSFL Project, the project team aim to further combine the agency level data to:

  1. understand the service recipient profiles;
  2. understand the pattern and distribution of family problems and case nature;
  3. understand the complex family problems;
  4. explore the protective and risk factors of family problems, complex problems and case nature.

Blended Mode 

by the team of Department of Social Work, HKBU and Department of Social Work and Social Administration, HKU

The project team will endeavour to facilitate IFSCs to develop innovative blended modes of services. Given the unique nature of localised family needs, the choice of innovative service or intervention, and the training and delivery of the service or intervention will be conducted by individual IFSC centres and their respective agencies.

The project team will organise training sessions on skills in conducting evidence-based practice research; facilitate IFSCs to conduct blended mode evidence-based intervention programmes to help families in Hong Kong; systematically collect and disseminate practice evidence to professionals in local and international conferences relating to family work.

Capacity Building

by the team of Department of Social Work, HKBU

The project team will develop an E-Resource Hub to store and provide information and protocols about family issues and various family services/ programmes, family assessment tools and interventions that will be available for use by IFSCs and other family service workers.

Training will be provided to social workers to build up competence in evidence-based practice on digital services, and standardised protocols and guidelines for blended mode of practices in IFSCs will be disseminated.

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