About the Journal

Mathematical Applications and Statistical Rigor (MASR) provides a premier forum for high-quality research that demonstrates how theoretical insight and methodological rigor directly inform and elevate applied problem-solving. The journal welcomes contributions that either introduce novel mathematical and statistical frameworks with clear application pathways, or present applied studies that generate meaningful theoretical advances.

Through a stringent yet constructive peer-review process, MASR emphasizes:

  • Technical correctness and mathematical depth

  • Statistical validity and reproducibility

  • Clarity of exposition and transparency of methodology

  • Demonstrable relevance and potential impact

By maintaining these standards, MASR aims to become a journal of record for translational quantitative science, where foundational rigor and practical utility are inseparable.

Aims and Scope

Aims

The primary aim of MASR is to transcend the traditional divide between theory and practice by publishing research that integrates mathematical precision and statistical rigor with substantive applications across disciplines. MASR seeks to accelerate the translational pipeline of quantitative science by championing work in which theory is motivated by real problems and applications are strengthened by deep methodological foundations.

MASR is committed to publishing research that:

  • Establishes new theoretical or methodological frameworks with demonstrable practical utility

  • Develops, analyzes, and rigorously validates mathematical, statistical, and computational models for complex real-world systems

  • Demonstrates innovative applications of existing theories that resolve open problems or achieve substantial advances

  • Encourages interdisciplinary dialogue, where challenges in one domain stimulate methodological breakthroughs in another

Scope

MASR welcomes original contributions spanning theoretical, applied, and computational mathematics and statistics, with strong emphasis on their integration. Areas of interest include, but are not limited to:

1. Methodological and Theoretical Advances

  • Optimization, simulation, uncertainty quantification, causal inference, and Bayesian methodology

  • High-dimensional statistics, statistical learning theory, experimental design, and inference

  • Nonlinear, algebraic, operator, differential, and stochastic equations

  • Numerical analysis, linear algebra, approximation theory, multivariate analysis, and integration

2. Computational and Data-Intensive Science

  • Machine learning and artificial intelligence with rigorous statistical guarantees

  • Scalable mathematical and statistical methods for large-scale and complex data

  • Inverse problems, discrete and infinite-dimensional systems

  • Methods for noisy, incomplete, and high-uncertainty data

  • Mathematical and statistical foundations of quantum computing

3. Interdisciplinary and Applied Sciences

  • Biological and Medical Sciences: systems biology, genomics, epidemiology, clinical trial design, medical imaging, and health informatics

  • Engineering and Physical Sciences: computational mechanics, fluid dynamics, materials informatics, and quantum algorithms

  • Finance and Economics: quantitative risk modeling, econometrics, financial time series, and algorithmic trading

  • Environmental and Earth Sciences: climate modeling, spatial statistics, geostatistics, and remote sensing

  • Humanities and Social Sciences: statistical, network, and computational models applied to social, linguistic, and historical data

Editorial Vision and Principles

MASR is guided by the following core principles:

  1. The Dual Imperative of Quality
    Every published article must demonstrate both methodological rigor and meaningful applicability. Excellence in one dimension without the other is insufficient.

  2. Interdisciplinarity as a Foundation
    MASR actively encourages work that crosses disciplinary boundaries, viewing interdisciplinarity as a driver of both theoretical innovation and applied relevance.

  3. Rigor with Purpose
    The review process is rigorous, fair, and constructive, evaluating submissions for soundness, clarity, reproducibility, and potential impact.

  4. A Bridge for the Research Community
    MASR supports the community through special issues, tutorial reviews, and spotlight articles that clarify emerging methodologies and application domains, fostering the next generation of leaders in translational quantitative research.

Article Types

MASR publishes:

  • Original Research Articles

  • Comprehensive Review Articles

  • Tutorial and Survey Papers

  • Short Communications

  • Special Issues on emerging and high-impact topics

All submissions must satisfy MASR’s defining criterion: the seamless integration of mathematical and statistical rigor with real-world relevance.

Open Access Policy

Mathematical Applications and Statistical Rigor (MASR) operates under a fully open access model with no publication or processing charges. All published papers are immediately available online without restrictions, supporting equitable access to scientific knowledge worldwide. Articles are distributed under the Creative Commons Attribution (CC BY) license, permitting unrestricted use, distribution, and reproduction provided the original work is properly cited.

Copyright Notice

Authors retain full copyright of their published articles. By submitting their manuscripts, authors grant MASR the right of first publication while allowing reuse and distribution under the CC BY license. Authors are responsible for securing permission for any copyrighted content used within their manuscripts.

Peer Review Policy

All submissions undergo a rigorous double-blind peer review process to ensure academic integrity, originality, and scientific relevance. Each manuscript is reviewed by at least two experts in the field, and decisions are based on the quality, clarity, and contribution to knowledge.

Archiving and Digital Preservation

MASR is preserved in the LOCKSS and CLOCKSS archival systems to ensure permanent accessibility and long-term preservation of its published content. The journal also supports self-archiving by authors and inclusion in institutional and subject repositories.

Publication Ethics

CDIS adheres to the ethical standards of the Committee on Publication Ethics (COPE). Plagiarism, duplicate publication, and data manipulation are strictly prohibited. Editors, reviewers, and authors must follow transparent and responsible research and publishing practices.

Sponsorship and Funding Disclosure

The journal is sponsored and managed by the SIRG Publisher. MASR does not receive external advertising or commercial sponsorship and does not charge authors or readers. The publication is sustained by institutional and editorial board support to promote open and ethical research dissemination.

Privacy Statement

The names, affiliations, and contact details provided to MASR are used exclusively for the editorial and publication process and will not be shared with any other organization. The journal complies with international privacy and data protection standards, including GDPR.

History of the Journal

Founded in 2025, Mathematical Applications and Statistical Rigor (MASR) was established by the Scientific Innovation Research Group (SIRG) to promote the integration of computation and intelligent analysis across scientific and engineering domains. The journal’s mission is to accelerate global collaboration in the development of intelligent systems that drive discovery, innovation, and societal progress.

Contact

Editorial Office – Mathematical Applications and Statistical Rigor (MASR)

Publisher: SIRG Publisher

Email:  editorialoffice@pub.scientificirg.com

Website: https://pub.scientificirg.com/index.php/MASR/en/index 

ISSN (Online): Pending

ISSN (Print): Pending