Socio-Economic Data & Intelligence Systems | ISSN: Applied For | Quarterly | Open Access
SEDIS Review is a peer-reviewed quarterly journal published by Vocademica. It publishes original research at the intersection of data systems, artificial intelligence, and socio-economic analysis. The journal welcomes work that applies quantitative, computational, or systems-based approaches to understanding economic behaviour, organisational performance, and societal outcomes.
SEDIS Review is designed for academics, doctoral scholars, industry researchers, and policy professionals whose work bridges data intelligence with real-world socio-economic impact.
Scope & Focus Areas
- Artificial intelligence, machine learning, and decision-support systems
- Data analytics, business intelligence, and predictive modelling
- Cloud computing, digital transformation, and IT governance
- Socio-economic systems, policy analysis, and impact assessment
- Financial systems, fintech, and economic modelling
- Medical informatics, aviation systems, and cross-domain applied research
- Smart cities, IoT, and data-driven governance
Current Issue
| Volume | Vol. 1, Issue 2 — 2026 |
| Submission Deadline | 15 July 2026 |
| Expected Publication | September 2026 |
| Review Process | Single-blind peer review |
| Access | Open Access |
| Publisher | Vocademica, Ripple Axis Systems |
Submission Requirements
- Format: MS Word (.docx), Times New Roman 12pt, 1.5 line spacing
- Length: Research articles 4,000–7,000 words. Case studies 3,000–6,000 words
- Structure: Title page · Abstract (150–250 words) · Keywords (3–6) · Introduction · Literature Review · Methodology · Analysis · Conclusion · References
- Referencing: APA (latest edition)
- Manuscripts must be original and not under review elsewhere
Submit to SEDIS Review
Email your manuscript to editor@floralwhite-gnat-985552.hostingersite.com with the subject line: Manuscript Submission — SEDIS Review
Or use the online submission form.
Submission is free. Article Processing Charges apply only upon acceptance.