Journal of Expert Systems and Sustainable Development

The Journal of Expert Systems and Sustainable Development (JESSD) is an international, peer-reviewed journal dedicated to advancing research at the intersection of artificial intelligence, expert systems, and sustainable development. The journal provides a platform for disseminating innovative methodologies, theoretical frameworks, decision-support tools, and real-world applications that contribute to sustainable societal, economic, and environmental progress.

Aims

JESSD aims to:

• Promote research on expert systems, intelligent decision-support, and computational intelligence for addressing sustainability challenges.
• Advance the understanding and application of AI-driven solutions that support sustainable development goals (SDGs).
• Foster interdisciplinary collaboration across computer science, engineering, environmental sciences, economics, public policy, and social sciences.
• Provide a platform for theoretical contributions and practical implementations that produce measurable sustainability outcomes.

Scope

The journal welcomes high-quality original research articles, reviews, case studies, technical notes, and application papers in areas including but not limited to:

1. Expert and Intelligent Systems

• Knowledge-based systems
• Fuzzy logic and fuzzy expert systems
• Machine learning and deep learning-based expert systems
• Hybrid intelligent systems
• Explainable and trustworthy AI for decision support

2. Computational Methods for Sustainability

• Multi-criteria decision-making (MCDM) for sustainability
• Optimization and simulation models for sustainable development
• Intelligent forecasting, prediction, and risk assessment
• AI-enabled resource management

3. Sustainable Development Applications

• Sustainable energy systems and smart grids
• Smart cities, urban planning, and infrastructure management
• Environmental monitoring and climate-change mitigation
• Circular economy, waste management, and green production
• Sustainable transportation and mobility systems

4. Policy, Governance, and Socio-Technical Systems

• AI for sustainable governance and policy evaluation
• Decision-support for public health and community development
• Ethical, legal, and social implications of AI in sustainability

5. Industry and Real-World Implementations

• Industrial expert systems for energy efficiency and cleaner production
• Intelligent systems for agriculture, water management, and natural resource conservation
• Case studies demonstrating practical deployment and measurable sustainability impact

Target Audience: Researchers, industry practitioners, decision-makers, sustainability professionals, policy makers, and graduate students engaged in AI and sustainable development.