About the Journal

The Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics (BJEDIS) is an open-access, peer-reviewed journal committed to advancing statistical science through the publication of high-quality, interdisciplinary research. BJEDIS fosters the integration of statistical theory, computational tools, and real-world applications, promoting open science, reproducibility, and inclusive research practices.

Objectives

a) To publish original research articles, reviews, interviews, invited presentations, case studies, books and chapters that critically address contemporary challenges in experimental design, data analysis, and inferential statistics.

b) To disseminate and encourage the practical use of statistical methodologies across disciplinary boundaries, promoting empirical rigor in science, engineering, education, health, agriculture, and humanities.

c) To update and engage researchers, educators, professionals, and policymakers with current developments in methodological theory, computational advancements, and applied statistics best practices.

Areas of Concentration

BJEDIS welcomes contributions across a broad spectrum of academic fields, including:

  • Statistical Theory and Methods

  • Experimental Design and Planning

  • Machine Learning and Data Science

  • Environmental and Agricultural Sciences

  • Nanotechnology and Polymer Science

  • Coatings and Multifunctional Materials

  • Science Education (including High School and Undergraduate Research)

  • Humanities and Social Sciences

  • Engineering Applications and Modeling

  • Interdisciplinary Innovations in Statistics

Sections and Section Editors

BJEDIS is organized into the following editorial sections, each managed by a dedicated team:

Section Editors
Preface Marcelo Barcellos, Fernando Gomes de Souza Junior
Invited Presentations and Keynotes Marcelo Barcellos, Fernando Gomes de Souza Junior
Interview Marcelo Barcellos, Fernando Gomes de Souza Junior, Sergio Thode
Articles Marcelo Barcellos, Fernando Gomes de Souza Junior, Sergio Thode
Reviews Marcelo Barcellos, Fernando Gomes de Souza Junior, Sergio Thode
Opinion Marcelo Barcellos, Fernando Gomes de Souza Junior
Advertisements Sergio Thode
Books and Chapters Marcelo Barcellos
High-School Students Emanuele Nunes de Lima Figueiredo Jorge, Sergio Thode
Nanotechnology Engineering Program (COPPE/UFRJ) Leydi Del Rocío Silva Calpa, Luciana S. Spinelli
Polymer Science and Technology Program (IMA/UFRJ) Fernando Gomes de Souza Junior, Luciana S. Spinelli
Agricultural Sciences – UFES – São Mateus Edilson Romais Schmildt
Coatings for Multifunctional Applications Sanu Mathew Simon
Mahatma Gandhi University Sanu Mathew Simon
Brazil–India–Cuba–China–United Kingdom (BIC²UK) Conference on Nanomaterials & Machine Learning Fernando Gomes de Souza Junior
Two Years of BJEDIS and ConBraPA – Special Commemorative Edition Marcelo Barcellos, Fernando Gomes de Souza Junior

Types of Accepted Contributions

  • Theoretical Articles: Conceptual works presenting new hypotheses, frameworks, or models grounded in statistical reasoning.

  • Empirical Articles: Data-driven studies employing robust statistical methodologies with reproducible results.

  • Reviews: Critical and comprehensive analyses of recent literature (preferably from the last five years).

  • Case Studies / Teaching Cases: Real-world applications of statistical problem-solving, including educational and industrial contexts.

  • Interviews: Curated dialogues with experts, researchers, and professionals in the field.

  • Invited Presentations and Keynotes: Transcribed and editorially reviewed talks from notable speakers and conferences.

  • Opinion Pieces: Scholarly perspectives on emerging topics, methodological debates, or policy implications.

  • Books and Chapters: Complete books, standalone chapters, or thematic collections contributing to statistical literacy and interdisciplinary knowledge.

  • Advertisements: Notices for academic events, books, tools, or resources relevant to the BJEDIS audience.

  • High School Contributions: Original works led by high school students, reviewed with mentorship-oriented guidance.

Peer Review Process

BJEDIS uses a double-blind peer review system to ensure impartial evaluation. Both author and reviewer identities are concealed. Special sections (e.g., Interviews, Opinion, Invited Presentations) may follow editorial review processes instead, with transparent editorial oversight.

Open Access Policy

BJEDIS provides immediate, free access to its content, in alignment with open science principles and global academic equity.

Licensing

All content is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting unrestricted use, distribution, and reproduction with proper attribution.

Preprints and Open Peer Review

Authors are encouraged to submit preprints via Qeios, where they may obtain a DOI, enhance visibility, and receive public peer commentary before journal submission. Preprints do not count as prior publication.

Publication Frequency

BJEDIS operates on a biannual schedule with continuous publication within each issue:

  • First Issue: July (submission deadline: May 1st)

  • Second Issue: December (submission deadline: October 1st)

Submissions received after deadlines will be evaluated for the next issue.

Ethical Guidelines

All submissions must adhere to ethical research and publication standards, including:

  • Originality and absence of plagiarism

  • Proper data management and transparency

  • Compliance with human/animal ethics when applicable

  • Disclosure of conflicts of interest

Violations will result in rejection, retraction, and notification of relevant institutional bodies.