About the Journal

J-GADS: 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 serves as a platform for high-quality research articles, reviews, case studies, and community engagement reports that promote data-driven decision-making. The scope of J-GADS covers five core pillars: Governance and Public Management (public policy and e-government innovation), Applied Data Science and Informatics (AI, Machine Learning, and Big Data analytics for public services), and Applied Statistics and Quantitative Methods (statistical modeling and econometrics). Additionally, the journal encompasses Socio-Economic Studies and Community Development through empowerment program evaluations, and Interdisciplinary Research focusing on digital transformation in governance. J-GADS also welcomes comprehensive Review Articles, including bibliometric analysis and systematic reviews on digital transformation trends and public policy frameworks.

J-GADS: Journal of Governance and Applied Data Science collaborates with the Lembaga Riset AI Creation (LRAC) and PT. Penerbit Gramatikal Indonesia, and is supported by the Indonesia Artificial Intelligence Ecosystem (IAIE). The journal is published three times a year in March, July, and November.