Aims & Scope

Intelligent Information Systems and Society (IISS) publishes original research, reviews, case studies, perspectives, and methodological papers within (but not limited to) the following areas:

1 Artificial Intelligence & Intelligent Systems
  • Machine learning, deep learning, and intelligent decision systems
  • Natural language processing, speech, and image intelligence
  • Autonomous systems, agents, and robotics
  • Hybrid intelligence and human–AI collaboration
2 Information Systems Design & Architecture
  • Intelligent information management and knowledge systems
  • Decision-support systems and cognitive computing
  • Intelligent data processing, analytics, and real-time systems
  • System interoperability, optimization, and digital infrastructure
3 Human–Computer Interaction & User Experience
  • Human-centered AI and explainable systems
  • Adaptive, personalized, and context-aware interfaces
  • Usability, accessibility, and digital inclusion
  • Behavioral responses to intelligent technologies
4 Ethics, Governance & Policy
  • AI ethics, bias, fairness, transparency, and accountability
  • Data privacy, security, and digital rights
  • Regulation, governance frameworks, and policy analysis
  • Societal risks, trust, and ethical implementation
5 Digital Society, Organizations & Economy
  • Impact on workforce and organizations
  • Socio-economic transformations driven by digital innovation
  • Platform economies, intelligent marketplaces, and automation
  • Societal resilience, digital citizenship, and public engagement
6 Intelligent Systems in Applied Domains
  • AI in healthcare, education, agriculture, finance, and smart cities
  • Intelligent transportation and mobility systems
  • Environmental monitoring, sustainability, and energy systems
  • Crisis management, disaster response, and public services
7 Emerging Technologies & Future Directions
  • Quantum information systems and next-generation computing
  • Edge AI, IoT intelligence, and cyber-physical systems
  • Digital twins for societal and industrial systems
  • Predictive modeling, simulation, and scenario analysis