About the Journal
Journal of Safety Analytics (JOSA) is an international, peer-reviewed, open-access journal dedicated to advancing the theory and practice of safety science through analytical and decision-based approaches. Published under the umbrella of our research group (www.optimresearch.com), JOSA aims to serve as a leading platform for researchers, practitioners, and policymakers working at the intersection of safety, risk management, and data-driven decision-making.
Our mission is to foster interdisciplinary dialogue and disseminate high-quality research that enhances safety performance across industries, infrastructures, and communities. We welcome original research and review articles that apply quantitative, qualitative, or hybrid analytics to safety-related challenges.
Scope and Topics
The journal covers a wide range of topics including, but not limited to:
- Safety analytics and decision support systems
- Risk assessment and management
- Human factors and safety behavior modeling
- Safety in logistics, transportation, healthcare, manufacturing, and energy sectors
- Bayesian network modeling and dynamic risk assessment in safety contexts
- Multi-criteria decision-analysis in safety contexts
- Mathematical modeling in safety contexts
- Predictive modeling and data mining for safety improvement
- Safety policy evaluation and strategic planning
- Occupational health and safety analytics
- Advanced concepts and information technologies in safety and risk management
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