About the Journal

Journal Profile
Blockchain, Artificial Intelligence, and Future Research
International Peer-Reviewed Open-Access Journal
Cover of Blockchain, Artificial Intelligence, and Future Research (BAFR)
Blockchain, Artificial Intelligence,
and Future Research
Journal Title Blockchain, Artificial Intelligence, and Future Research
Initial BAFR
Abbreviation Blockch. Artif. Intell. Futur. Res.
Publication Frequency Biannual — May and November
Publication Model Continuous Publication
DOI Prefix 10.70211/bafr  by  Crossref
Online ISSN 3089-6975
Editor-in-Chief Dr. Aminul Haq
Publisher WISE Pendidikan Indonesia
Citation Analysis Dimensions
About the Journal

Advancing Research in Intelligent and Decentralized Digital Technologies

BAFR provides an international scholarly platform for rigorous research addressing artificial intelligence, blockchain technologies, human-centered intelligent systems, digital trust, and emerging transformations in contemporary digital environments.

Blockchain, Artificial Intelligence, and Future Research (BAFR) is an international, peer-reviewed, and open-access scholarly journal dedicated to advancing research at the intersection of artificial intelligence, blockchain and decentralized technologies, human-centered intelligent systems, intelligent information systems, and emerging digital innovation. The journal provides a forum for academics, researchers, technology developers, practitioners, and policy scholars to communicate theoretically grounded, empirically rigorous, and practically relevant research on rapidly evolving digital technologies.

Established in 2025, BAFR is published exclusively online by WISE Pendidikan Indonesia. The journal follows a biannual publication schedule, with issues designated for May and November, while operating under a continuous publication model. Under this model, an issue may be opened before its designated issue month, and individual articles are published online as soon as they have successfully completed the peer-review, editorial, copyediting, and production processes.

Each article published through the continuous publication model receives its final bibliographic information, Digital Object Identifier (DOI), and individual publication date upon publication. The issue remains open during the relevant publication cycle until it is formally completed. The publication date displayed for an issue in the journal archive may therefore represent the date on which the issue was first opened for continuous publication, while individual articles retain their respective official online publication dates.

Scholarly Orientation

BAFR is particularly interested in research examining not only the technical development of emerging technologies, but also their interaction with individuals, organizations, institutions, and wider society. The journal encourages interdisciplinary research that connects technological development with human–AI interaction, human-computer interaction, decision support, technology adoption, digital trust, governance, security and privacy, and responsible technological innovation.

Particular attention is given to research on generative artificial intelligence, large language models, AI agents, intelligent user interfaces, machine learning applications, explainable and trustworthy AI, decentralized systems, smart contracts, decentralized finance, blockchain-enabled digital identity, provenance technologies, intelligent information systems, and technology-supported organizational transformation.

Types of Scholarly Contributions

The journal welcomes high-quality scholarly contributions employing quantitative, qualitative, computational, experimental, design-oriented, mixed-method, and interdisciplinary approaches. Suitable submissions may include:

  • Original empirical research articles;
  • Experimental and computational studies;
  • Development and evaluation of AI- or blockchain-based systems;
  • Human-computer interaction and human–AI interaction studies;
  • Methodological and technical contributions;
  • Systematic reviews and evidence-based syntheses;
  • Conceptual and theoretical studies with substantial scholarly contribution;
  • Case-based research on emerging technology implementation; and
  • Interdisciplinary research addressing technological, organizational, ethical, regulatory, or societal implications.

Publication Model

Frequency Biannual
Regular Issues May and November
Publishing Model Continuous Publication
Access Model Open Access
Publication Format Online

Open Access and Global Dissemination

BAFR is committed to the broad dissemination of scholarly knowledge. Articles published in the journal are made openly accessible online, enabling researchers, students, practitioners, institutions, and the wider public to access scholarly content without subscription barriers. This approach supports international knowledge exchange and increases the accessibility and visibility of research addressing rapidly developing technologies.

Editorial Governance

BAFR is supported by an internationally oriented editorial structure involving scholars and experts whose academic interests span artificial intelligence, blockchain technology, intelligent systems, financial technology, human-computer interaction, digital transformation, and related emerging research areas. Editorial decisions are guided by scholarly relevance, originality, methodological rigor, research integrity, and alignment with the journal's aims and scope.

Manuscripts considered appropriate for the journal undergo independent scholarly assessment in accordance with BAFR's peer-review and publication ethics policies. The editorial process is intended to support transparent, rigorous, and responsible scholarly communication while maintaining editorial independence.

Publisher

BAFR is published by WISE Pendidikan Indonesia . The publisher supports the journal's commitment to scholarly communication, research dissemination, editorial independence, and the responsible development of academic publishing practices.

BAFR's Scholarly Commitment
BAFR seeks to advance rigorous and responsible scholarship on technologies that are reshaping contemporary digital environments. The journal particularly values research in which artificial intelligence, blockchain, intelligent information systems, human-computer interaction, or digital trust constitutes a substantive component of the scholarly contribution rather than merely serving as a contextual label.