Submissions

Interview

This section features interviews with distinguished researchers, educators, or professionals whose work has made significant contributions to experimental design, data analysis, inferential statistics, or closely related fields.

Scope and Purpose:

• Showcase the intellectual trajectories, methodologies, innovations, and reflections of influential figures in the statistical sciences.

• Promote dialogue between generations of scholars, highlight emerging trends, and offer personal insights into research challenges and advancements.

Format and Submission:

• Interviews may be conducted by members of the editorial team, invited contributors, or guest editors.

• All submissions must include:

  • Full names and institutional affiliations of both interviewer and interviewee.

  • Date and context of the interview (e.g., conference, special invitation, virtual session).

  • A declaration that the interviewee has granted explicit consent for publication.

  • Optional: brief editorial introduction framing the relevance of the conversation.

Review and Approval:

• This section is not peer-reviewed, but all submissions undergo editorial review to ensure:

  • Relevance to the journal’s thematic scope.

  • Clarity, coherence, and editorial quality.

  • Proper attribution and ethical compliance.

Editorial Enhancements:

• Interviews may be lightly edited for clarity, length, and flow, with the final version approved by the interviewee.

• Footnotes or references may be included to support contextualization or highlight cited works.

This section aims to preserve and disseminate the voices and visions that shape the field, fostering critical engagement and institutional memory within the statistical and scientific community.

Articles

This section publishes original research articles that contribute substantively to the advancement of experimental design, data analysis, and inferential statistics, including cross-disciplinary applications.

Scope and Contributions:

• Theoretical developments that extend or refine statistical methodologies.

• Methodological innovations addressing experimental design, model building, inference techniques, or data integration.

• Empirical studies applying statistical methods to real-world problems across science, engineering, social sciences, or humanities, with clear generalizability or replicability.

Submission Criteria:

• Manuscripts must be grounded in rigorous methodology, include appropriate statistical treatment, and demonstrate clear scientific or practical value.

• Articles must follow the official BJEDIS template and include all required metadata and disclosures.

Peer Review and Ethics:

• All submissions undergo double-blind peer review by 2–3 qualified referees.

• Authors must comply with the journal’s ethical standards, including:

  • Originality and absence of simultaneous submission.

  • Data transparency and accessibility (where applicable).

  • Reproducibility of results through clear documentation of methods.

  • Proper citation practices and acknowledgment of contributions.

This section serves as the journal’s core platform for advancing statistical science through robust, innovative, and impactful research.

Reviews

This section features critical and comprehensive review articles that synthesize recent advances in experimental design, data analysis, and inferential statistics, offering scholarly overviews of evolving trends and theoretical frameworks.

Scope and Expectations:

• Reviews must address significant developments from the past five years, with historical context as needed.

• Articles should:

  • Highlight theoretical and methodological progress.

  • Analyze key debates, innovations, and unresolved challenges.

  • Identify gaps in the literature and propose future research directions.

Submission Requirements:

• Manuscripts must be based on an extensive and up-to-date literature base, with transparent inclusion criteria when applicable.

• Texts should be structured, critical, and interpretative, not merely descriptive.

• Submissions must follow the official BJEDIS template.

Peer Review and Standards:

• All review articles undergo double-blind peer review by at least two specialists.

• Authors must ensure:

  • Comprehensive citation of sources.

  • Balanced perspective, avoiding promotional or biased interpretations.

  • Clarity, scholarly rigor, and methodological awareness.

This section aims to serve both specialists and interdisciplinary readers by delivering high-quality syntheses that inform research, teaching, and methodological advancement.

Advertisements

The Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics (BJEDIS) accepts a limited number of advertisements that align with the journal’s mission to promote statistical science, open education, and methodological innovation.

Eligibility and Content Guidelines:

• Advertisements must be directly relevant to the journal’s readership, such as:

  • Academic conferences, workshops, and webinars in statistics or data science.

  • Books, software, tools, or educational resources in experimental design or data analysis.

  • Academic programs, scholarships, and research opportunities.

• Commercial ads unrelated to the journal’s scientific scope will not be accepted.

Review and Approval:

• All advertisement requests are subject to editorial review for relevance, accuracy, and appropriateness.

• BJEDIS reserves the right to reject any advertisement deemed misleading, unethical, or inconsistent with its values.

Placement and Format:

• Ads may appear in:

  • The journal’s website (sidebar, banner, or event listings).

  • PDF versions of issues (in designated sections).

  • Email communications or newsletters to subscribers.

Fees and Waivers:

• Nonprofit institutions, educational initiatives, and academic events may request fee waivers or discounted rates.

• Commercial advertisements are subject to a standard rate card, available upon request.

Editorial Independence:

• Acceptance of advertisements does not imply endorsement by BJEDIS, its editors, or affiliated institutions.

• Advertisements are clearly separated from editorial content.

Inquiries and Proposals:
Contact bjedis.journal@ufrj.br with the subject line Advertisement Proposal, including:

• Organization name and contact details

• Advertisement content (text, images, links)

• Desired publication dates and format

BJEDIS upholds transparency, academic integrity, and the responsible dissemination of information in all advertising practices.

Nanotechnology Engineering Program (COPPE/UFRJ)

This section is dedicated to the dissemination of scientific contributions from the Nanotechnology Engineering Program at COPPE/UFRJ, highlighting the program’s role in advancing interdisciplinary research, innovation, and methodological development in experimental design, data analysis, and nanoscience.

Scope and Objectives:

• Publish original research, case studies, technical notes, and reviews authored by faculty, researchers, and students affiliated with the Nanotechnology Engineering Program.

• Promote the integration of nanotechnology and statistical sciences, showcasing applications in materials science, biotechnology, environmental systems, computational modeling, and related areas.

• Foster visibility for academic outputs and collaborative initiatives developed within the program.

Submission Criteria:

• The first or corresponding author must be formally affiliated with the Nanotechnology Engineering Program at the time of submission.

• Manuscripts must adhere to the BJEDIS template and submission guidelines.

Peer Review Process:

• Submissions undergo double-blind peer review, following the same rigorous standards applied to regular articles.

• Manuscripts must demonstrate:

  • Methodological rigor in experimental design and data treatment.

  • Innovation and relevance to the field of nanotechnology and statistical analysis.

Types of Accepted Contributions:

• Original Research Articles

• Applied Case Studies

• Methodological or Technical Notes

• Systematic Reviews or State-of-the-Art Reports

This section aims to serve as a strategic platform for disseminating high-quality research emerging from one of Brazil’s leading graduate programs in nanotechnology, reinforcing its contributions to science, engineering, and statistical innovation.

Polymer Science and Technology Program (IMA/UFRJ)

This section is dedicated to publishing scientific contributions from the Polymer Science and Technology Program at the Institute of Macromolecules Professora Eloisa Mano (IMA/UFRJ), one of Latin America's foremost centers of excellence in polymer research and education.

Scope and Objectives:

• Disseminate research outputs authored by faculty, researchers, and students affiliated with the program.

• Highlight advances in polymer synthesis, processing, characterization, modeling, and applications, with methodological emphasis on experimental design and statistical analysis.

• Promote interdisciplinary contributions involving materials science, engineering, environmental sustainability, biotechnology, and computational approaches in polymer research.

Submission Criteria:

• The first or corresponding author must be affiliated with the Polymer Science and Technology Program at IMA/UFRJ.

• Manuscripts must conform to the BJEDIS submission template and editorial policies.

Peer Review Process:

• All submissions are subject to double-blind peer review.

• Articles must demonstrate:

  • Scientific originality and relevance to polymer science.

  • Rigorous experimental design and appropriate data analysis.

  • Alignment with the journal’s methodological focus and ethical standards.

Types of Accepted Contributions:

• Original Research Articles

• Experimental Case Studies

• Methodological Reports

• Systematic or Critical Reviews

This section reinforces the visibility of the Polymer Science and Technology Program at IMA/UFRJ and its central role in advancing high-impact research at the interface of macromolecular science, technology, and statistical methodology.

Agricultural Sciences - UFES- São Mateus

This section is dedicated to publishing scientific contributions from the Agricultural Sciences program at Universidade Federal do Espírito Santo (UFES), showcasing research that integrates agricultural innovation with robust experimental design and data analysis.

Scope and Objectives:

• Disseminate research by faculty, researchers, and students affiliated with UFES’s Agricultural Sciences program.

• Highlight interdisciplinary studies in agronomy, plant science, soil science, agroecology, crop protection, and agricultural biotechnology.

• Emphasize methodological rigor in experimental design and statistical analysis within agricultural contexts.

Submission Criteria:

• The first or corresponding author must be formally affiliated with the Agricultural Sciences program at UFES.

• Manuscripts must follow the official BJEDIS template and overall submission guidelines.

Peer Review Process:

• All manuscripts undergo double-blind peer review, in line with BJEDIS’s standards.

• Submissions should demonstrate:

  • Clearly defined experimental design (e.g., field trials, randomized block designs).

  • Rigorous statistical treatment and data analysis tailored to agricultural research.

  • Contributions with potential impact on sustainable agriculture, food systems, or related fields.

Types of Accepted Contributions:

• Original Research Articles

• Experimental Field Studies or Case Reports

• Methodological Notes on Statistical or Experimental Innovations

• Review Articles Addressing Agricultural Data Analysis

This section strengthens collaboration between agricultural sciences and statistical methodology, promoting the visibility and excellence of UFES’s contributions in sustainable agricultural research.

High-School Students

This section is dedicated to showcasing original scientific work authored by high school students as first authors, encouraging early engagement with research, critical thinking, and scientific communication.

Scope and Objectives:

• Promote the development of research skills and scientific literacy among secondary school students.

• Provide visibility to innovative projects developed in school settings, science fairs, junior academies, or extracurricular programs.

• Foster mentorship and collaboration between students and educators or research supervisors.

Eligibility:

• The first author must be currently enrolled in high school or have graduated within the last 6 months at the time of submission.

• A teacher, mentor, or university collaborator may appear as a co-author but not as the first author.

Submission Requirements:

• Manuscripts must follow the official BJEDIS template.

• A brief statement must be included in the Acknowledgments or a dedicated note, confirming that the work was primarily conducted and authored by a high school student.

• Institutional or parental consent may be requested if the student is under 18.

Review and Support:

• Manuscripts undergo a single-blind peer review, with reviewers trained to provide constructive feedback appropriate for early-career researchers.

• The editorial board may offer developmental feedback prior to formal review to help guide revisions.

Publication Fee:

• No APCs are charged for articles in this section. BJEDIS fully supports barrier-free access for young scholars.

Types of Accepted Contributions:

• Research Articles

• Case Studies

• Data Reports

• Methodological Notes

• Short Communications

This section aims to inspire and empower the next generation of scientists by validating their contributions within a professional scientific environment.

Opinion

This section features opinion articles that present well-argued perspectives, reflections, or critiques on current topics related to experimental design, data analysis, inferential statistics, and their interdisciplinary applications.

Scope and Purpose:

• Encourage intellectual debate and critical reflection on methodological trends, ethical issues, policy implications, or educational practices.

• Provide space for thought-provoking insights, conceptual discussions, and forward-looking proposals grounded in scientific reasoning.

Eligibility and Format:

• Contributions may be submitted by researchers, educators, professionals, or graduate students with relevant expertise.

• Manuscripts should be concise, clearly structured, and substantiated by evidence, even when presenting personal or interpretive viewpoints.

• Citations are encouraged when referencing prior work, but exhaustive literature reviews are not required.

Editorial Process:

• All submissions undergo editorial review for clarity, coherence, and relevance.

• Articles in this section are not peer-reviewed, but may be returned for revision or clarification at the discretion of the editorial board.

Types of Topics May Include:

• Emerging challenges in statistical education or research.

• Reflections on reproducibility, transparency, or open science.

• Commentary on evolving methodologies or technological impacts.

• Ethical, philosophical, or regulatory dimensions of data use.

This section aims to foster constructive dialogue and critical engagement, complementing the journal’s scientific content with informed and reflective contributions.

Brazil - India - Cuba - China - United Kingdom (BIC²UK) Conference on Nanomaterials & Machine Learning

Coatings for Multifunctional Applications

This section is dedicated to publishing original research and reviews on the development, characterization, and application of coatings with multifunctional properties, emphasizing the role of experimental design and data analysis in optimizing performance across diverse domains.

Scope and Focus Areas:

• Coatings for thermal, optical, electrical, barrier, self-cleaning, antimicrobial, or sensing functions.

• Multilayer, hybrid, and nanostructured coatings engineered for synergistic or adaptive behaviors.

• Applications in biomedical devices, energy systems, packaging, aerospace, construction, and environmental protection.

Submission Criteria:

• Manuscripts must demonstrate a clear integration of statistical methodologies, including but not limited to:

  • Design of Experiments (DoE)

  • Multivariate analysis

  • Regression modeling

  • Machine learning techniques for performance optimization

• Submissions must adhere to the BJEDIS template and ethical standards.

Peer Review Process:

• All submissions undergo double-blind peer review by specialists in materials science, coatings technology, and statistical modeling.

• Articles must clearly present:

  • The design rationale of the coating system

  • Quantitative performance evaluation

  • Reproducibility and statistical validation of results

Types of Accepted Contributions:

• Original Research Articles

• Comparative or Methodological Studies

• Application-Oriented Case Studies

• State-of-the-Art or Critical Reviews

This section aims to promote the systematic and data-driven development of multifunctional coatings, fostering innovation at the intersection of materials engineering and applied statistics.

Books and Chapters

This section is dedicated to the publication of complete books, individual book chapters, or book-based thematic collections that make substantive contributions to experimental design, data analysis, and inferential statistics.

Scope and Objectives:

• Disseminate methodological treatises, applied research volumes, or educational compilations that enhance statistical literacy, support interdisciplinary integration, and promote open science.

• Encourage the submission of:

  • Original chapters derived from larger works.

  • Full-length monographs relevant to the journal's scope.

  • Thematic collections organized by guest editors, with unified methodological or conceptual focus.

Submission Criteria:

• All content must be original or not previously published in journal format.

• Authors must clearly indicate if the material is part of a broader book project, including relevant metadata (e.g., book title, chapter number, editor names if applicable).

• Submissions must follow the BJEDIS template, adapted for extended formats when needed.

Review and Evaluation:

• Complete works and chapters will be reviewed by the Section Editor and peer reviewers when applicable, depending on the nature and scope of the content.

• Evaluation criteria include:

  • Originality and relevance to statistical science.

  • Clarity of exposition and coherence of structure.

  • Methodological rigor and scholarly impact.

Accepted Formats:

• Standalone Book Chapters

• Complete Books or Technical Manuals

• Thematic Series Organized by Institutional or Editorial Partnerships

This section aims to expand the journal’s role as a repository of high-quality, long-form academic content, supporting cumulative knowledge production in statistical and data-driven disciplines.

Mahatma Gandhi University

This section is dedicated to publishing scientific contributions from students, faculty, and researchers affiliated with Mahatma Gandhi University (MGU), promoting regional excellence and global engagement in experimental design, data analysis, and statistical innovation.

Scope and Objectives:

• Disseminate original research, applied studies, and methodological developments originating from academic units and research centers at MGU.

• Highlight interdisciplinary efforts involving mathematics, data science, materials science, environmental studies, social sciences, and other fields where statistical methods play a pivotal role.

• Encourage collaborative submissions that reflect MGU’s commitment to sustainable development, inclusive education, and open science.

Submission Criteria:

• At least one first or corresponding author must be formally affiliated with Mahatma Gandhi University.

• Manuscripts must follow the BJEDIS template and adhere to the journal’s ethical and editorial standards.

• Submissions may include:

  • Research Articles

  • Case Studies

  • Reviews

  • Teaching Innovations

  • Student-led Research Projects

Peer Review Process:

• All submissions will undergo double-blind peer review, ensuring quality, methodological rigor, and relevance to the journal’s scope.

Editorial Vision:
This section strengthens BJEDIS’s commitment to international cooperation by fostering a dedicated platform for showcasing the scientific vitality of Mahatma Gandhi University, encouraging innovative approaches to data-driven research across disciplines.