Aims

Journal of Sustainable Decisions Intelligence and Optimization (JSDIO) publishes research that empowers smart, informed decision-making to promote sustainability. The journal focuses on data-driven intelligence and advanced optimization techniques to address complex sustainability challenges across diverse sectors and disciplines.

While existing journals may feature related research, a dedicated platform that holistically integrates these domains remain limited. This fragmentation often forces researchers to disseminate their work across multiple venues, hindering the development of a cohesive scholarly community. JSDIO seeks to address this need by providing a unified, authoritative platform for interdisciplinary research that brings together these complementary areas.

JSDIO aims to foster interdisciplinary collaboration emphasizing both methodological rigor and practical relevance, bridging theoretical innovation with real-world impact to support sustainable transformation across industries, policy, and society. Through this focus, JSDIO actively contributes to the realization of the United Nations Sustainable Development Goals (SDGs).

Scope

The journal welcomes high-quality submissions, including original research articles, comprehensive reviews, and case studies within sustainability framework, covering—but not limited to—the following thematic areas:

Decision Support Systems

• Multi-criteria decision analysis for sustainable urban planning (SDG 11)
• Decision dashboards for energy management (SDG 7)
• Intelligent systems for disaster response planning (SDG 13)

Artificial Intelligence and Machine Learning Applications

• Predictive models for climate risk assessment (SDG 13)
• AI-driven waste sorting and recycling systems (SDG 12)
• Machine learning for supply chain optimization (SDG 9)

Optimization and Operations Research

• Scheduling algorithms for renewable energy integration (SDG 7)
• Optimization of transportation networks for reduced emissions (SDG 11)
• Resource allocation models in healthcare systems (SDG 3)

Sustainable Systems and Technologies

• Smart grid technologies (SDG 7)
• Circular economy models (SDG 12)
• Sustainable manufacturing systems (SDG 9)

Data Analytics and Modeling for Sustainability

• Big data analytics for water resource management (SDG 6)
• Simulation models for urban mobility (SDG 11)
• Data visualization for stakeholder engagement in sustainability (SDG 17)

Smart Cities and Infrastructure

• IoT-based monitoring for energy-efficient buildings (SDG 11)
• Intelligent traffic management systems (SDG 9)
• Urban resilience planning using digital twins (SDG 13)

Environmental and Energy Systems

• Optimization of renewable energy portfolios (SDG 7)
• Environmental impact modeling using AI (SDG 13)
• Decision models for carbon footprint reduction (SDG 12)

Socio-technical Systems and Human-Centered Design

• Participatory decision-making tools (SDG 16)
• Human-AI collaboration in sustainability planning (SDG 17)
• Behavioral modeling for sustainable consumption (SDG 12)

Industrial and Manufacturing Systems

• Lean and green manufacturing strategies (SDG 9)
• AI for predictive maintenance in factories (SDG 8)
• Optimization of production lines for energy efficiency (SDG 7)

Policy and Governance for Sustainable Development

• Decision models for climate policy evaluation (SDG 13)
• Stakeholder analysis in sustainability governance (SDG 16)
• AI-assisted public policy simulations (SDG 17)

Resilience and Risk Management

• Risk assessment models for natural disasters (SDG 13)
• Resilient supply chain design (SDG 9)
• Optimization under uncertainty for infrastructure planning (SDG 11)

Digital Transformation and Intelligent Automation

• Automation in sustainable agriculture (SDG 2)
• Blockchain for transparent supply chains (SDG 12)
• AI-powered monitoring for environmental compliance (SDG 13)