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Urban Science
- Urban population modellingSRC-funded
- Level of vegetation land fragmentation in the Western ProvinceSRC-funded
Research
The Urban Simulation Lab groups its ongoing research into four themes. 4 projects are funded by the university’s SRC.
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Research turned into chatbots: urban-planning Q&A in 2023, flood and landslide warnings in 2026.
Current milestone year: 01 / 06
2023
Launched at EXMO 2023, University of Moratuwa. Trained on real district development plans. Visitor feedback fed a published paper.
2023, after EXMO
Built on the Hugging Chat language model with web search, tuned response filters, a user-friendly interface and a “Pro Planning Mode”. A custom version was made for Port City Colombo.
29 December 2023
Agreed a research project on an AI chatbot for landslide risk: early warnings, evacuation protocols, resilient-construction details and risk information. Supported by a Manchester grant.
May 2025
A paper on a collaborative approach to disaster management and community awareness, featuring the AI chatbot built for NBRO.
20–22 May 2026
Presented at the 1st International Online Conference on Urban Sciences. WhatsApp-based, multilingual, multi-agent design with language, live-weather API and scheduler agents. It gives residents preparedness guidance and lets planners interpret risk-sensitive zoning. Linked to SDG 11 and 13, and indirectly 9 and 17. Published 15 May 2026 on Sciforum.
22–24 September 2026
Citizens share ideas alongside street imagery. Generative and vision AI produce redesign scenarios. Planners and people iterate together. Supported by the Alexander von Humboldt Foundation and DAAD, hosted by TU Dresden’s Chair of Mobility System Planning.
A WhatsApp-based, multilingual, multi-agent design. It gives residents preparedness guidance and lets planners interpret risk-sensitive zoning.
Institution-specific chatbots handle large workloads quickly and reduce dependence on individual officials.
The department’s ongoing research page names seven further topics.
A low-cost weather station built on open hardware, open software, open data and open standards. It measures eight environmental parameters.
A joint project with the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). The department lists it, and the team has yet to confirm that Smartmind may claim it.
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