Focus & Scope
Journal of Intelligent and Sustainable Systems (JISS)
Objectives
- Provide a transdisciplinary, peer-reviewed platform for high-quality research that bridges intelligent systems (artificial intelligence, data analytics, machine learning, robotics, decision-support systems, cyber-physical systems) with sustainability science across natural and social domains.
- Foster cross-disciplinary collaboration among engineers, computer scientists, social scientists, economists, geographers, and natural scientists to develop intelligent solutions for environmental protection, climate change mitigation, renewable energy integration, and sustainable resource management.
- Encourage innovative frameworks and architectures that enhance the efficiency, resilience, and equity of socio-technical systems.
- Maintain a rigorous, fair peer-review process ensuring accuracy, novelty, and impact, with rapid online publication.
Readership
- Academics and researchers in AI, computer science, systems engineering, sustainability science, environmental studies, urban planning, management science, and social sciences.
- Practitioners (engineers, planners, data scientists, sustainability managers) in renewable energy, smart cities, manufacturing, agriculture, transportation, public health, and resource management.
- Policy-makers, NGOs, and industry leaders seeking evidence-based insights into sustainable technologies and socio-technical systems.
- Students and early-career researchers exploring the nexus of intelligent technologies and sustainable development.
Scope
JISS welcomes original research articles, short communications, data notes, reviews, and perspectives on topics including but not limited to:
- Sustainable computing & hardware — energy-efficient algorithms/architectures, power-aware networking, sustainable hardware, energy-harvesting.
- Smart infrastructure & built environments — intelligent control for energy-efficient buildings, green data centers, smart grids and microgrids.
- Renewable energy integration — AI-driven forecasting, optimization and control of renewables, grids, and storage.
- Sustainable manufacturing & supply chains — modeling, monitoring, circular economy, LCA, waste minimization.
- Climate adaptation & environmental monitoring — ML for climate prediction, biodiversity monitoring, ecological risk, pollution control.
- Smart agriculture & food systems — precision ag, autonomous robots, intelligent irrigation, yield prediction.
- Smart mobility & transportation — EV/AV, public-transport optimization, traffic-flow management, emissions reduction.
- Social & economic dimensions — behavior, equity, ethics, governance, social acceptance, policy frameworks.
- Modelling & evaluation frameworks — theory, simulation, decision-support, system-level sustainability models.
JISS emphasizes interdisciplinary work integrating technological innovation with social and ecological considerations to advance sustainability and human well-being.