Developing a geospatial model for vacancy to reveal the adaptive capacity of urban areas in Ireland.
Explore Our ResearchBuilding Stories is a research project based at University College Dublin, jointly led by the School of Architecture, Planning and Environmental Policy and the School of Computer Science. The project addresses the pressing societal challenges of housing shortages, climate change, and town centre decline in Ireland by tackling inefficiencies in how building vacancy is understood and managed. Through the development of a geospatial model that integrates diverse datasets using GIS and AI, the project seeks to provide dynamic, reliable data at the scale of individual buildings. This data-driven approach aims to support public and private stakeholders in making informed decisions about the reuse of existing buildings, thereby enabling the delivery of homes, reducing greenhouse gas emissions, and revitalising communities.
Building Stories is part of the National Challenge Fund which was established under the government's National Recovery and Resilience Plan (NRRP), funded by the EU's Recovery and Resilience Facility. The fund is coordinated and administered by Research Ireland.
Building Stories received funding between June 2023 and November 2024 and was one of 16 out of 96 teams selected for further funding from December 2024 to November 2025.
Active Projects
Team Members
Buildings Analyzed
Learn about the Building Stories project from our team
Our cutting-edge machine learning model uses XGBoost algorithms to predict housing vacancy across Ireland with unprecedented accuracy. By integrating multiple data sources including property records, census data, satellite imagery, and local knowledge, we've created a powerful tool for identifying vacant properties at the building level.
Validated prediction performance
National coverage capability
Explainable AI methods
We believe that good-quality data will lead to more efficient use and management of the built environment. There is an opportunity to utilise, leverage, and combine expertise and innovation in data science, data governance, digital technologies, citizen science, and planning in Ireland to better understand and address the vacancy. This, in turn, can support public and private actors to:
Support the delivery of housing solutions by utilizing existing building stock more effectively.
Minimize demolition and new construction—helping to meet the 51% reduction target by 2030 (relative to 2018 levels) and achieve carbon neutrality by 2050.
Support sustainable communities and foster social cohesion through strategic reuse of vacant buildings.
From concept to implementation - our research project timeline
Building Stories was selected as one of the National Challenge Fund projects, receiving initial funding to develop our geospatial model for understanding building vacancy in Ireland.
Our interdisciplinary team combined expertise in architecture, planning, computer science, and data analytics to develop innovative methodologies for vacancy detection and analysis.
Successfully completed the initial phase, demonstrating proof of concept and establishing partnerships with key stakeholders across government, academia, and local communities.
Selected as 1 of only 16 teams out of 96 to receive continued funding for the Grow Phase, recognizing our innovative approach and potential for national impact.
Currently expanding our research scope, refining our AI and GIS models, and working with public and private stakeholders to deploy our findings across Ireland.
Delivering enhanced tools and datasets to support evidence-based decision making for building reuse, town revitalization, and sustainable development.
Meet the brilliant minds behind Building Stories
Principal Investigator
UCD Assistant Professor for Climate Responsive Design at the School of Architecture, Planning and Environmental Policy and the School of Civil Engineering.
Co-Principal Investigator
Associate Professor at the UCD School of Computer Science with research focus on geographic information science, mobility, and smart city technology.
Postdoctoral Researcher
Research Fellow in the School of Computer Science with interdisciplinary expertise in applied mathematics, economics, and artificial intelligence.
Collaborator/Assistant Professor
Lecturer/Assistant Professor in the School of Computer Science with main research interests in data governance, data quality, and knowledge graphs.
Postdoctoral Researcher
Research Fellow at Lvl 1 in the School of Architecture, Planning and Environmental Policy with over 15 years of experience in architecture, conservation and urban design.
Postdoctoral Researcher
Postdoctoral Research Fellow at Lvl 1 in the School of Computer Science with expertise in historical geography and the spatial relationship between institutions and the state.
Postdoctoral Researcher
Specialises in policy-oriented research and engagement towards the climate transition. Living lab lead at the UL/LCC Citizen Innovation Lab.
Research Scientist
Research Scientist at the School of Architecture, Planning and Environmental Policy with background in community development, research and local government.
Research Assistant
Research Assistant at the School of Architecture, Planning and Environmental Policy with expertise in sustainable design, climate resilience, and adaptive reuse strategies.
Research Assistant
Research Assistant in the School of Computer Science with interests in building geospatial tools that leverage machine learning and remote sensing techniques.
Research Engineer
Research Engineer at the UCD School of Computer Science with a BA in Geography and History and an MSc in Computer Science.
Research Engineer
Research Engineer at the UCD School of Computer Science with strong background in Knowledge Graphs, web development, and DevOps.
Cutting-edge tools and frameworks powering our research
How we combine expertise and innovation to tackle vacancy
Our team brings together expertise from architecture, planning, computer science, data science, and social sciences. This unique combination allows us to address vacancy from multiple perspectives—understanding both the technical challenges of data collection and the social complexities of community engagement.
We leverage cutting-edge GIS and AI technologies to integrate diverse datasets—from satellite imagery and street-level photography to administrative records and citizen science contributions. Machine learning algorithms help us identify patterns and predict vacancy trends with unprecedented accuracy.
Our research is grounded in meaningful engagement with local communities, authorities, and property owners. Through participatory workshops and co-design sessions, we ensure our tools and findings respond to real-world needs and support locally-led solutions.
We translate complex data into actionable insights for policymakers and planners. Our outputs are designed to support evidence-based decision-making that aligns with national climate goals and addresses urgent housing needs.
Working together to address Ireland's vacancy challenges
UCD School of Architecture, Planning and Environmental Policy
UCD School of Computer Science
ADAPT Research Centre
UCD Centre for Irish Towns
Research Ireland (Funding Body)
Department of Housing, Local Government and Heritage
Department of Rural and Community Development
Local Authorities across Ireland
Community Development Groups
Property and Development Sector Stakeholders
Town Renewal Initiatives
Citizen Science Contributors
Access our research outputs and documentation
Detailed overview of our data processing pipeline and machine learning methodology.
View DetailsAcademic papers and research articles from the Building Stories project.
View PublicationsAccess our geospatial tools and open datasets for researchers and practitioners.
Access ToolsStay updated with our latest research and insights