Cutting-edge AI research for cities
CALL FOR RESEARCH PAPERS
Smart City Expo World Congress and the Street Art & Urban Creativity Journal join forces for the second edition of the Call for Research Papers, driving knowledge exchange and real-world impact.
Accelerating Urban Innovation Through AI Research
Submit your proposal by 13 September 2026
As applied AI and other emerging technologies evolve rapidly, cities must embrace the latest innovations to improve services and attract talent and investment. Besides, given the complexity of public procurement, they can’t afford to wait for solutions to reach the market.
After a successful first edition —with 18 proposals from 7 countries— Smart City Expo World Congress is launching a new Call for Research Papers in collaboration with the prestigious Street Art & Urban Creativity Journal to continue bridging state-of-the-art AI research with the smart city ecosystem.
Selected papers will be published in a special issue of the journal and featured at Smart City Expo 2026 in a dedicated session within the official program.
Share your scientific contribution on how AI can transform efficiency, resilience, and quality of life, and place your work at the heart of the world’s leading event on urban innovation.
Exclusive benefits por selected papers
- Publication in an indexed scientific journal (Scopus Q2) at a reduced cost, available in both English and Spanish.
- Dedicated presentation session during the event to showcase research results, including a featured spot in the official program and a fully equipped space (table, chairs, and totem).
- Three passes providing full access to the event (valued at €1,250 each), excluding travel and accommodation expenses.
- International visibility and networking opportunities, providing access to the Speakers Room for private meetings with key contacts.
UPCOMING DEADLINES
13 SEPT 2026
Deadline for Article / Chapter submission
1 OCT 2026
Acceptance letter from the journal
15 OCT 2026
Payment of the Article Processing Charge fee
3-5 NOV 2026
Celebration of the Smart City Expo World Congress
DECEMBER 2026
Monographic publication
Find out which research papers have been selected in 2025
18 proposals from 7 countries on AI applied to cities, covering a wide range of topics: safety, urban planning, mobility, citizen services, environmental IoT and Digital Twin utilities, AR/VR, generative and immersive AI, social services and participation, tourism, and AI models.
- The Caatinga as a Living Lab: Climate, Resilience and Smart Cities: Lessons from Brazil’s Semi-Arid Region for Global Urban Futures
- Preplanned City: BGI in Songdo: A Comparative Analysis with New York, Singapore and Vienna
- Surplus: Strategic Urban Resource Planning Using Ldts and Unified Kqr Sustainability Metrics: A Methodology to Align Local Digital Twins with Measurable Outcomes
- Atenea Artificial Intelligence for Elderly People: No More Buttons, Menus or Tactile Screens. With Atenea, by a Voice Conversation, Everything Is Possible
- AI Cities Strategy Conceptual Model: Application to Four Cities: New York, Buenos Aires, Barcelona and Madrid.
- Slms for Natural Language Database Interaction with the SENSE Citiverse of Cartagena City
- Modeling and Analytics Tools for Electric Mobility: Use-Cases at the Urban Level
- Enhancing the Reliability of Lorawan: Din Flood Alarm System
- Object Recognition and Conversational AI in Real-World Contexts: Enhancing Museum Experiences Through Interactive Systems
- Negevpulse: Crowdsourced Digital Mapping for Visibility in Unrecognized Bedouin Villages
- Nextgenguides: AI-Enhanced Multimedia Navigation and Content Creation for Cultural Heritage
- Citizen-Centered Generative AI For Urban Transformation: The AI Copacabana Demo Case
- AI-Based Prediction Models for Urban Parking Availability: A Case Study of Valencia
- Barriers to the Effective Implementation of AI in Predicting Public Works
- Spatial Pedestrian Safety in Riyadh School Zones: A Data-Driven Approach: Evaluating Spatial Pedestrian Safety in Riyadh’s School Zones Using Multiple Linear Regression and Machine Learning: A Data-Driven Approach
- Bike-Sharing Demand Forecasting Using Machine Learning: The Use Case of Valladolid, Spain
- Augmented Reality Reconstruction of Deteriorated Art
- An Insight into Traffic Analysis with Computer Vision: Leveraging Smart Infrastructure for Urban Traffic Flow Analysis
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