European Data Science Journal (EDSJ) p-ISSN 3050-9572 en e-ISSN 3050-9580

About the Journal

Journal Description

The European Data Science Journal (EDSJ) provides a scholarly avenue for high-quality, original research in data science and its applications. As an open-access publication, EDSJ promotes the global exchange of knowledge, enabling researchers, developers, and data practitioners to share their innovations in data acquisition, processing, modeling, analysis, visualization, and deployment.

Key Areas of Focus:

• Data Mining & Predictive Analytics

• Machine Learning & Deep Learning

• AI Ethics and Governance

• Natural Language Processing

• Data Engineering & Infrastructure

• Big Data Technologies

• Data Science Applications in Health, Finance, Energy, Education, and Social Sciences

• Statistical and Computational Methods

• Open Science and Data Transparency

EDSJ embraces a rigorous peer-review process to ensure the quality and integrity of the work published. Our editorial board comprises leading scholars and industry professionals from across Europe and beyond, ensuring broad disciplinary representation and relevance.