IAAC’s Master in City & Technology (1 or 2-year program) is a unique program oriented towards redefining the analysis, planning, and design of twenty-first-century cities and beyond. The program offers expertise in the design of digitally enhanced, ecological and human-centered urban environments by intersecting the disciplines of urbanism and data science. Taking place in Barcelona, the capital of urbanism, the Master in City & Technology is training the professionals that city administrations, governments, industries, and communities need, to transform the urban environment in the era of big data.
Abstract Trencadís transforms a transitory sidewalk to resident alcoves through the implementation of trencadís, a dynamic mosaic art form that responds to the distinctive needs and material preferences of its creators. The design approach is centered on understanding and reacting to resident preferences to resolve site challenges. Non-descript materiality is replaced with a parametric, pervious … Read more
A digital tool proposed to re-boost the economy of Ciutat Vella, Barcelona Overview Ciutat Vella being the oldest district of the city of Barcelona was founded in the 1500 BC. The Ciutat Vella district was a very important economic hub for Barcelona. But in the recent times, the district faces problems that are characterised by … Read more
The Zona Franca in Barcelona is an area that receives thousands of workers everyday and, having The Port, is one of the main points of contact of the city with the rest of the world. Through a quick analysis based on an understanding of the site, questions and issues within Barcelona’s ‘Free-Trade’ zone are tackled … Read more
Background Public transportation plays a crucial role in urban planning globally. Extensive research indicates that bus transit has become a highly favored mass mobility system. This preference stems from its cost-effective infrastructure, flexible planning, and discrete architecture that supports incremental growth. Bus transit systems exhibit lower infrastructure costs compared to rail or subway networks, making … Read more
The Environmental Asset Resilience (EAR) Tool is a response to the pressing global challenge of environmental instability, particularly in urban areas. These areas face substantial costs associated with environmental problems and climate change. However, decision-making in addressing these issues is complicated by conflicting priorities, limited resources, and a lack of expertise. The EAR Project aims … Read more
INTRODUCTION Urbanization poses escalating threats to ecological systems, necessitating the creation of urban ecological commons. This exercise focuses on Mumbai’s metro network, comprising 357 kilometres, 16 lines, and 38 interchanges, as a context for enhancing neighbourhood biodiversity through strategic environment plugins. By leveraging NDVI mapping from Google Earth Engine, areas with high ecological threats and … Read more
Singapore, a quickly developing city-state is running out of land and linear expansion with new housing will soon no longer be an option. The project strategically targets public housing as a place of densification and a source of urban mining, aiming to solve the problem of upcoming precast concrete waste. Therefore a circular micro-district design … Read more
Considering the imminent demolition and in-situ rehabilitation of highly dense slum settlements, how might the application of generative algorithms facilitate the maximization and optimization of housing units within the existing spatial constraints? The slums and the unauthorized colonies are located across Delhi to identify which zones needs in-situ slum rehabilitation, there are over 700 slum … Read more
Recycling construction materials is of paramount importance in a city like Barcelona due to its numerous environmental, economic, and social benefits. Barcelona, like many urban centers, faces challenges related to rapid urbanization, resource scarcity, and environmental sustainability. By implementing a robust construction material recycling concept, the city can significantly reduce its construction waste, lower its … Read more
Punta Vagno! was developed by Kriti Bhavesh Nirmal, Maddalena Caviglia, Noé Guérin, Sophie Köcher-Schulz, Maria Augusta Kroetz, Étienne Lajoie-Asselin, Joshua Mingers, Marta Pianta, with the support of trainers from the Vienna University of Economics and Business, the Institute for Advanced Architecture of Catalonia, the University of Genoa and ALDA, during the Green Skills for Cities … Read more
SUSTAINABLE DESIGN FOR CIRCULAR CO-PRODUCTION OF ECOLOGICAL SERVICES. GREENWAVE was developed by Ben Bello, Can Xu, Erum Khaled, Manuel Beca, Lucia Mack, Parshav Sheth, Zerihun Tassano, with the support of trainers from the Vienna University of Economics and Business, the Institute for Advanced Architecture of Catalonia, the University of Genoa and ALDA, during the Green … Read more
The City of Marvelous Disorder is a study was conducted during the ‘CaaS studio (City as a Service): The future of cities’ services in the AI times’, that aims to built a methodology on mapping the creative sector and high education ecosystem of Barcelona, with a particular focus on social creative industry that works within … Read more
The project focuses on promoting the physical, mental, and social well-being of older adults in the city of Barcelona through various initiatives, the goal is to empower older adults to remain active and engaged in their communities, and to promote healthy ageing and independence. Projected population aged 65+ What is Ageing? Health in the older … Read more
Clustering advanced industries to facilitate technology transfer in the Barcelona metropolitan region Spain has been at the forefront of pioneering research and innovation that have led to significant contributions to the world of technology. Technology Transfer Technology transfer from research to market seems like a straight-forward and linear process, but such is not the case. … Read more
The objective of this exercise is to build a machine learning model that will predict taxicab trip durations based on 2016 NYC Yellow Cab trip record data. Data Fields Based on this, this project will develop a machine learning regression algorithm capable of predicting the duration of a trip based on the variables provided by … Read more
