Aims & Scope

AIMS AND OBJECTIVES

Kertas of Mathematical and Data Science (KMDS) is an international, peer-reviewed, open-access journal published by KertasSci, committed to the advancement and dissemination of original research in mathematics, statistics, and data science. The journal aims to foster both theoretical development and practical innovation through high-quality contributions that address modern scientific, industrial, and societal challenges.

KMDS seeks to be a nexus for interdisciplinary dialogue by connecting mathematical theory with data-driven practices across diverse domains. It promotes scholarly exchange among researchers, practitioners, and thought leaders working on foundational methods and applied problems. The journal encourages submissions that offer novel insights, rigorous analysis, and impactful applications.

All submissions undergo a rigorous double-blind peer-review process, and the journal is published in English to ensure global accessibility and engagement.

SCOPE

KMDS provides a platform for a wide range of scholarly contributions that advance understanding and applications in the mathematical and data sciences. The journal welcomes original research articles, survey papers, theoretical expositions, case studies, and applied works in areas including, but not limited to:

  • Pure and Applied Mathematics

  • Probability and Statistics

  • Mathematical Modeling and Simulation

  • Statistical Inference and Decision Theory

  • Computational Mathematics

  • Machine Learning and Artificial Intelligence

  • Data Mining and Knowledge Discovery

  • Statistical Learning and Predictive Modeling

  • Time Series Analysis and Forecasting

  • Optimization and Operations Research

  • Numerical Methods and Scientific Computing

  • Network Science and Graph Theory

  • Cryptography and Information Security

  • Bioinformatics and Computational Biology

  • Mathematical Finance and Actuarial Science

  • Applications of Data Science in Natural and Social Sciences

  • Interdisciplinary Research involving Mathematics, Data, and Technology

  • Methodological Innovations in Data Collection and Analysis

  • Open-Source Tools and Reproducible Research Practices

Submissions that explore new frontiers or integrate theory with real-world data applications are especially encouraged.