About the Journal

Our main goal is to publish high-quality scientific research that advances theory and practice in Experimental Design, Data Analysis, and Inferential Statistics. BJEDIS also prioritizes methodological contributions that strengthen evidence-based reasoning and decision-making in complex, uncertainty-rich contexts, while remaining firmly committed to promoting open science, educational inclusion, and ethical research practices across all academic levels.

As an Open Access journal, BJEDIS actively supports free and unrestricted dissemination of knowledge. The journal adopts an inclusive and transparent APC policy designed to accommodate diverse academic and applied research profiles, operating with a progressive model based on the academic qualification of the first author, with full waivers for students in basic education. During the journal’s launch phase, all submissions are exempt from APCs.

BJEDIS encourages transparent, well-documented research workflows and rigorous methodological reporting as part of the peer review process. Submissions must follow the official BJEDIS formatting template, and all metadata—including ORCID, institutional email, funding sources, and keywords—must be provided at the time of submission to ensure traceability, reproducibility, and proper scholarly attribution.

The journal publishes two issues per year and adheres to international editorial standards (COPE, ICMJE, SciELO), ensuring a rigorous, ethical, and efficient publishing workflow capable of supporting both foundational theoretical research and applied studies arising from real-world decision environments.

Announcements

ConBraPA 2026 - 4ª Conferência Brasileira de Planejamento Experimental e Análise de Dados

2026-09-03

ConBraPA 2026 consolida sua trajetória como um fórum científico plural, interdisciplinar e metodologicamente rigoroso, ampliando sua inserção internacional e assumindo como eixo estruturante a integração entre Inteligência Artificial, planejamento experimental e tomada de decisão baseada em evidências.

Read more about ConBraPA 2026 - 4ª Conferência Brasileira de Planejamento Experimental e Análise de Dados

Current Issue

Vol. 4 No. 2 (2025): VOL 4 (2) DEC 2025 BJEDIS
View Vol. 4 No. 2 (2025): VOL 4 (2) DEC 2025 BJEDIS
Published: 2025-12-29

Articles

  • Study on Biocompatible Polymeric Carriers Used in the Treatment of Tuberculosis

    Brum, De Azevedo, Gomes de Souza Júnior, Ferreira
    01-20
    DOI: https://doi.org/10.55747/bjedis.v4i2.69648

  • Monitoring Retrogradation in Starch-Based Films Reinforced with Plasma-Treated Lignin Using FTIR-PCA Analysis

    Eduardo Genner Ferreira de Almeida, Tiago dos Santos Mendonça, Lucas Galhardo Pimenta Tienne, Tiago Albertini Balbino, Renata Antoun Simao
    21-33
    DOI: https://doi.org/10.55747/bjedis.v4i2.68637

  • Magnetic Nanomarkers for Disease Diagnosis and Treatment: Trends and Opportunities for Precision Medicine

    Aline Tavares, Heshiley Cristhiane Correia, Lizandra de Macedo Nogueira, Marcel Guimarães Martins, Suzana Borschiver
    34-49
    DOI: https://doi.org/10.55747/bjedis.v4i2.69017

  • LaBioS ↔ LabOPTIMA Synergies: A Data-Driven Welcome for the New PENT Graduate Cohort 2025

    Fernando Gomes de Souza Junior, Andrey Carvalho, Bruna Santuzzi , Carolina Delfino, Daniele Silvéria Brandão Silva, Jaciara Santos, Luis Edgardo Escobar Recalde, Nicolle Fernanda Dias Brum , Suelen Souza
    50-53
    DOI: https://doi.org/10.55747/bjedis.v4i1.68649

  • EVALUATION OF POLYMERIC FLUIDS FOR ENHANCED OIL RECOVERY USING POROUS MEDIA MICROFLUIDIC DEVICES

    Bruno Rodrigues Cancela, Tiago Albertini Balbino, Claudia Regina Elias Mansur
    54-72
    DOI: https://doi.org/10.55747/bjedis.v4i2.68146

  • Energetic Material Based on Xanthan, Polyaniline and Poly (Urea-Formaldehyde) Evaluated by Machine Learning Tools

    Cintia Patricia Santos da Paixão, Fernando Gomes , Antônio Luis Dos Santos Lima, Sergio Thode Filho , Fabíola da Silveira Maranhão, Thuanny Moraes de Almeida , Vinícius Bolzan Elias , Suelen Ramona de Souza Cunha
    73-86
    DOI: https://doi.org/10.55747/bjedis.v4i2.68414

  • Optimization of Green Synthesis and Cationic Modification of Magnetic Nanoparticles for Oil Removal: An Experimental Design and Statistical Inference Study

    Luis Edgado Escobar Recalde, Fernando Gomes de Souza , Sergio Thode Filho, Elizabete Fernandes Lucas, Rita de Cassia Pessanha Nunes, Daniele Silvéria Brandão, Gabriel Bezerra Silva, Paulo Cristiano Silva da Rocha
    87-106
    DOI: https://doi.org/10.55747/bjedis.v4i2.70257
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