Journal of Spatial Intelligence (JSI) is an international, peer-reviewed, open access academic journal dedicated to the advancement of knowledge at the intersection of spatial disciplines and artificial intelligence (AI). Founded under the guidance of the Spatial Intelligence Lab (SIL), JSI aims to explore how data-driven and intelligent systems are transforming the way we conceive, analyze, design, and manage architectural spaces, cities, interiors, and communities.

Aims

The journal’s mission is to:

• Provide a rigorous academic platform for innovative research that bridges spatial thinking and intelligent technologies;

• Foster interdisciplinary discourse between scholars, practitioners, and technologists working across architecture, urban planning, interior design, landscape, geography, computer science, and data science;

• Promote the development and application of AI, machine learning, spatial computing, and data analytics to solve spatial challenges;

• Support the evolution of human-centered and adaptive environments through the integration of intelligent systems.

JSI is committed to publishing original research, theoretical explorations, applied studies, and critical reviews that contribute to a deeper understanding of spatial intelligence in both physical and digital realms.

Scope

The scope of Journal of Spatial Intelligence encompasses but is not limited to the following topics:

1. AI in Architecture and Urban Design

• Generative design and form-finding using machine learning

• Predictive modeling of spatial performance (energy, comfort, circulation)

• Urban morphology analysis through computer vision and deep learning

• Adaptive building systems and responsive environments

2. Spatial Data Science and Computation

• GIS-integrated AI methods for urban and regional planning

• Spatial big data analytics and urban informatics

• Remote sensing data interpretation using deep learning

• Smart mapping and automated cartography

3. Human-Centered Spatial Intelligence

• Behavior-driven design supported by sensor data and AI models

• Post-occupancy evaluation using spatial analytics

• AI in public space evaluation, placemaking, and community design

• Ethical and social dimensions of intelligent environments

4. Intelligent Built Environment Technologies

• Spatial applications of IoT, edge computing, and real-time sensing

• Indoor localization, navigation, and space utilization tracking

• Human-AI interaction in spatial contexts

• Digital twins and building information modeling (BIM) integrated with AI

5. Theoretical and Methodological Contributions

• Philosophical and epistemological inquiries into space and intelligence

• Methodologies for spatial cognition and computational design

• Interdisciplinary frameworks combining design thinking and AI logic

• Critical perspectives on algorithmic urbanism and automated space-making

Interdisciplinary Engagement

JSI actively encourages submissions from a diverse array of disciplines, including but not limited to:

• Architecture

• Urban and Regional Planning

• Interior and Environmental Design

• Geography and Geoinformatics

• Data Science and Artificial Intelligence

• Human-Computer Interaction

• Sociology and Community Studies

• Engineering and Computational Design

We especially welcome collaborative works that transcend disciplinary boundaries and address complex spatial problems through AI-enabled innovation and evidence-based design approaches.

Types of Articles Accepted

• Original research papers

• Review articles

• Case studies and project-based research

• Theoretical and methodological essays

• Data reports and visual essays

• Technical notes and software/tool development

Audience

The journal serves researchers, educators, design professionals, urban policymakers, technologists, and all stakeholders interested in the transformative role of AI in shaping intelligent spatial environments.