Focus and Scope
Journal of Governance and Applied Data Science publishes scientific and practical works at the intersection of public sector management, applied informatics, statistical science, and community development. The journal welcomes high-quality research articles, reviews, case studies, and community‐engagement reports in the following areas:
- Governance and Public Management
- Public policy formulation, evaluation, and impact assessment
- Digital governance and e-government innovation
- Public sector performance, accountability, and transparency
- Public financial management and economic governance
- Strategic planning and organizational development in governmental institutions
- Applied Data Science and Informatics
- Application of machine learning, AI, and data mining in public and economic sectors
- Information systems for public services, administration, and decision-making
- Big data analytics for societal and governmental issues
- Geographic Information Systems (GIS) for planning and policy
- Development and implementation of digital platforms for community services
- Applied Statistics and Quantitative Methods
- Statistical modeling for economic and public policy analysis
- Multivariate analysis, econometrics, and forecasting
- Experimental and survey-based statistical research
- Quality control and statistical process improvement
- Simulation, optimization, and decision-support models
- Socio-Economic Studies and Community Development
- Community empowerment programs and evaluations
- Socio-economic impact studies related to public policies or digital interventions
- Sustainable development initiatives at the community level
- Models and strategies for improving public welfare and social resilience
- University–community partnership models (pengabdian masyarakat)
- Interdisciplinary and Applied Research
- Integration of governance, data science, economics, and statistics for real-world problem solving
- Case studies showcasing data-driven decision-making in public or private institutions
- Technological innovation and digital transformation in governance
- Ethical issues, privacy, and data governance in public sector applications
6. Review Articles
The journal also accepts comprehensive review articles, including but not limited to:
- Systematic reviews, scoping reviews, and narrative reviews on governance, data science, or applied statistics
- Reviews of digital transformation trends in public administration
- Review of analytical methods, statistical models, or data science techniques
- State-of-the-art reviews on community development, socio-economic research, or e-government
- Critical evaluations of policies, frameworks, or governance models
- Bibliometric and scientometric review studies
