The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Thermal Insight would be a standalone app that optimizes indoor environments by predicting thermal comfort. With simulations from trained models to help enhance occupant comfort and energy efficiency, evaluating metrics like PMV, PPD, and MRT. This tool would help improve well-being and productivity while achieving efficiency goals. Abstract Methodology Use Case Data Analysis Results and … Read more
Introduction Accurate prediction of rental prices poses a significant challenge in dynamic real estate markets such as Amsterdam. Our research project explores the use of graph-based machine learning to improve the accuracy of such predictions. This methodology could be of interest to various actors in the real estate sector, including brokers, investors, and urban planners. … Read more
Studying migration is crucial for urban planners and architects to anticipate and accommodate the influx of people into cities, ensuring the development of robust infrastructure that can support this growth. As migration patterns shape demographic changes, understanding these trends allows cities to plan for adequate housing, transportation, healthcare, and educational facilities. This foresight is essential … Read more
Who Why: For the Amenities, we selected the following due to its overall correlation with residential real estate and we anticipate that it will give a good indication of how the properties would be priced. By creating bounding boxes around the amenities, with a radius of 1km, we ensure that as much of the graph … Read more
This project aimed to develop a daylight predictor to facilitate and generate well-informed adaptive reuse projects, with a specific focus on providing sustainable design solutions for low-income housing. Los Angeles (LA) was selected as a case study due to its proactive open data initiatives and commitment to adaptive reuse. This proposal provides a snapshot of … Read more
Our goal was to predict the relationship between the tourist activity zones and the airbnb rentals. Tourism is vital to Spain’s economic growth, with Barcelona as a key contributor, accounting for over 12% of the country’s GDP. TOURIST ANALYSIS AND DATA Tourist spots and zones can be broadly classified to tourist amenities – transits, bus … Read more
In a world where urban areas are predominantly developed and the heat island effect is intensifying, the construction industry significantly contributes to environmental challenges. Instead of focusing on tools that promote new construction, our goal is to provide a tool that analyzes existing buildings and suggests improvements. This approach aims to enhance sustainability and mitigate … Read more
Rethinking Urban Spaces Parks and green areas are critical in cities as they provide spaces for people to meet, interact, and find a social life. They contribute significantly to the mental and physical well-being of residents, offering a natural respite from the urban hustle. Project Summary: According to google reviews, the most important factor for … Read more
Greater Manchester, one of the largest and most vibrant urban centers in the UK, is characterized by its substantial student population and a dynamic economic landscape. With approximately 120,670 university students during the 2021/22 academic year and a significant number of these individuals studying at the University of Manchester and Manchester Metropolitan University, the region … Read more
Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more
AI in the Anthropocene The architectural profession is currently at a critical juncture, faced with the dual challenges of advancing artificial intelligence (AI) and the escalating climate crisis. Many architects harbour fears of obsolescence as AI’s capabilities expand, potentially automating tasks that traditionally require human expertise. This concern is not unfounded, as AI-driven tools increasingly … Read more
Introduction Urban voids, or vacant spaces within a city, can occur due to various factors and circumstances. Here are some reasons why urban voids happen As part of the research, the city of Los Angeles was surveyed to create a dataset that could be analyzed. This dataset would provide an understanding of the urban voids … Read more
There are different types of loneliness and different causes for each type. The social media induced loneliness as described by Sherry Turkle in her book Alone Together: Why We Expect More from Technology and Less from Each Other (2012) is different from the loneliness of feeling alone in a crowd in a very large city … Read more
Problem Statement Mexico City is a rapidly growing urban area, but not all neighborhoods and areas have seen equal levels of development. Some areas may be in need of revitalization, but it can be challenging to identify which section of the city is in need of investment and redevelopment. The data available need cleaning and … Read more
With the recent upsurge in tourism worldwide, the Airbnb accommodation sector has become a thriving industry. As a result, the demand for Airbnb accommodations is poised for further growth, attracting an increasing number of individuals interested in entering this lucrative market. ?How can a new entrepreneur make a decision on the ideal location to open … Read more
‘Navigating Future Convenience’ PROBLEM STATEMENT The dataset contains information about previous trips taken by users, where each trip is represented as a node in the graph. The edges between the nodes represent connections between destinations visited by the same user. Additionally, the dataset includes attributes such as location details, amenities, time of day, activity type, … Read more
Insightful Predictions for Your City’s Future. The purpose of Foresight is to leverage the capabilities of machine learning to anticipate the potential effects of novel urban infrastructure on the city’s fabric and the value of city blocks. Foresight aims to serve as a preliminary design tool, with the ability to swiftly process vast amounts of … Read more
An Urban AI graft project based in Barcelona. In 2022 across both England and Wales the proportion of people that have some form of disability was a staggering 17.8% or nearly 10.4 million people. Our project is focused on urban mobility and aims to create accessibility for current routing applications have limited use for people … Read more
