About the Journal

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.