The Journal of Contemporary Decision Science (JCDS) is a peer-reviewed, international scholarly journal dedicated to advancing knowledge and practice in the field of decision science. The journal publishes high-quality original research that addresses contemporary decision-making challenges arising in complex, dynamic, and uncertain environments.

JCDS serves as an interdisciplinary forum for researchers and practitioners working at the intersection of decision theory, decision support systems, management science, engineering, artificial intelligence, and sustainability. The journal emphasizes both theoretical development and applied research, with a strong focus on methodologies and frameworks that support effective and informed decision-making in real-world contexts.

The journal welcomes contributions that develop or apply advanced decision-making models, including—but not limited to—multi-criteria decision analysis, intelligent and data-driven decision support systems, uncertainty modeling, optimization techniques, and behavioral decision approaches. Particular attention is given to studies demonstrating practical relevance, managerial implications, and societal impact.

The Journal of Contemporary Decision Science adopts a rigorous double-blind peer-review process to ensure the scientific quality, originality, and relevance of published articles. The journal publishes research articles, review papers, methodological contributions, and applied case studies from a broad range of disciplines, including management, engineering, economics, computer science, environmental studies, and public policy.

By fostering interdisciplinary collaboration and methodological innovation, JCDS aims to contribute to the development of robust decision frameworks that support sustainable development, organizational performance, technological advancement, and evidence-based policy-making.