layerframe.
Reimagining Cities through Speculative Urbanism and AI

Layerframe is an ongoing research project that explores the complexities of urban environments. It integrates the "hacking cities" and "blackhole dimension" methodologies, developed by Alp Arda, with AI and machine learning to reimagine cities as dynamic, programmable entities (Arda and Kural, 2024). The project uses a three-phase process—de-code, encode, and re-code—to analyze and redesign urban spaces (Arda and Kural, 2024), viewing cities as evolving systems influenced by temporal and spatial forces (Arda, 2024).

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This research aims to create adaptable strategies for urban resilience by continuously learning from scholarly outputs and real-world data. It encourages interdisciplinary collaboration between architecture, urban planning, and digital technologies (Arda and Kural, 2024), promoting a new vision of cities as spaces ripe for continuous innovation and transformation.

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As the project progresses, Layerframe plans to refine its AI-driven analysis and expand its speculative urban scenarios, exploring how technological, cultural, and economic forces could shape future cities (Arda, 2024).