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Ye Ha Kim

Updated: Mar 8

Hello!

I am a passionate data enthusiast based in London, with a strong academic background in Computational Design. A graduate from UCL with a degree in Architecture, I am driven by a relentless curiosity for extracting meaningful insights from data. My academic journey has equipped me with a robust foundation in statistical analysis, programming, and machine learning. With a keen eye for detail and a knack for problem-solving, I aim to leverage data as a storytelling medium. My goal as a data analyst/data scientist is to unearth compelling narratives hidden within complex datasets, empowering organizations with actionable intelligence. I am enthusiastic about collaborating on projects that drive innovation and create value. Let's embark on a journey of discovery and innovation together!



Project:

Inhabitable AI: Designing Better Cities for Tomorrow


Introduction:

The proposed research seeks to address the imperative question of how Artificial Intelligence (AI) can be more effectively integrated into the built environment, thereby revolutionizing the traditional role of architects. Throughout the past century, the integration of technology within the architectural discipline has been a recurring theme, from Le Corbusier's modernist concept of the "Machine for Living" to Bernard Tschumi's contemporary interpretation of the inseparable link between technology and our current societal condition. Nevertheless, existing research and studies often lack a practical framework, resulting in an abstract philosophical foundation. Consequently, there is a dearth of substantial, quantifiable research within the architectural discipline concerning technology.


Objective:

This research aims to fill this critical gap by evaluating the tangible implications of integrating AI into architectural practice. Recent advancements in AI technology necessitate a thorough examination of its real-world impact on addressing urban challenges linked to climate change, such as the urban heat island effect and carbon footprint. The research seeks to critically scrutinize the shortcomings of current architectural approaches to urban issues and identify reasons for delays in construction projects, particularly in cities like London, where housing development can span from 5 to 30 years.


Rationale:

The contemporary pseudo-scientific approach toward technology and the built environment demands reassessment. If architects merely generate designs without considering the holistic and practical implications of their creations, the relevance of their role must be questioned. The research contends that without assigning new responsibilities to architects, the profession risks obsolescence, with AI potentially offering a viable alternative.


Methodology:

The research will employ a multidisciplinary approach, integrating architectural theory, urban planning, and AI studies. Data collection will involve case studies of construction projects, interviews with architects and urban planners, and analysis of AI applications in architectural design. Quantitative and qualitative methods will be employed to evaluate the efficiency, sustainability, and societal impact of AI-integrated architectural practices.


Significance:

This research has the potential to reshape architectural discourse by providing a practical framework for the integration of AI into the built environment. By addressing the real-world implications of AI in architectural practice, the study aims to guide the evolution of the architectural profession, ensuring its continued relevance and effectiveness in tackling contemporary urban challenges.

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