About the Journal
BJEDIS
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. The journal places particular emphasis on methodological rigor combined with applicability in complex, real-world decision environments, fostering the integration of statistical theory, computational tools, and real-world applications, while 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, including uncertainty-aware and decision-oriented statistical frameworks.
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, as well as in institutional and policy-relevant contexts.
c) To update and engage researchers, educators, professionals, and policymakers with current developments in methodological theory, computational advancements, and applied statistics best practices, with particular attention to transparency, explainability, and ethical constraints.
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
Decision Science under Uncertainty
Risk–Benefit Modeling and Trade-off Analysis
Statistical Frameworks for Real-World Evidence
Synthetic Data Generation and Privacy-Preserving Analytics
Explainable and Interpretable Statistical Models
Monte Carlo–based Decision Support Systems
Longitudinal and Institutional-Scale Data Analysis
Translational Statistics in Health, Public Policy, and Governance
Human-in-the-Loop Statistical Systems
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
Applied Decision & Evidence-Based Systems | Editors-in-Chief + Guest Editors (rotating)
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, as well as institution-scale decision environments.
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.
For submissions involving sensitive, real-world, or institution-derived datasets, synthetic data, perturbation-based anonymization, and privacy-preserving statistical transformations are recognized as valid approaches, provided their statistical integrity is rigorously demonstrated.
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.
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
Respect for institutional confidentiality and ethical constraints in applied research contexts
Violations will result in rejection, retraction, and notification of relevant institutional bodies.
