The Master in City & Technology’s academic structure is based on IAAC’s innovative, learn-by-doing and design-through-research methodology which focuses on the development of interdisciplinary skills. During the Master in City & Technology students will have the opportunity to be part of a highly international group, including faculty members, researchers, and lecturers, in which they are encouraged to develop collective decision-making processes and materialize their project ideas.
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
The Boulevard Method utilizes big data analytics and multi-objective optimization processes to map the existing materials building stock and propose adata-driven urban strategy for the future densification of the city of Helsinki. By making the hypothesis that certain roadways will become obsolete in the future due to the transformation of urban mobility, this study analyzed … Read more
Optimizing Helsinki’s Boulevard Densification Method Helsinki, the vibrant capital of Finland, faces significant changes as it prepares for the future. With important challenges ahead such as the continuous population growth for the next decades and the associated risk of urban sprawl in suburban developments, the city must address the issue of land fragmentation by transforming … Read more
Main challenge: densify city, connect nature, and mitigate embedded CO2 Singapore is one of the densest countries in the World. Nature-conscious city densification has to consider reimbursement of natural patches within built environment, applying an connecting nature approach similar to a multi-tiered tropical forest. Mitigation of embodied carbon stays in a row with nature connectivity. … Read more
Before the implementation of Cerda’s radical expansion plan, Barcelona was bound by their medieval walls and making every effort to accommodate its overflowing population. Cerda’s plan took into account scientific objectives that would create a city that is not just a well planned co-habiting space but also user-centric. Some of his objectives were gardens in … 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
The New York City Taxi Trip Duration competition is a challenge to develop a model that predicts the total ride time of taxi trips in New York City. Yellow medallion taxicabs, which number 12,779 in New York City, generate a substantial revenue of $1.8 billion per year by providing transportation services to around 240 million … Read more
Machine learning has been applied to a wide range of domains, including transportation, to improve the accuracy of predictions and optimize systems. In the context of taxi services, predicting the trip duration is an essential task to optimize route planning and estimate arrival times. In this post, we present a machine learning approach using Python … Read more
The project reflects on how people in ancient times defined natural and weather phenomena. The proposal is to create an open public space – Inspired by the concept of an ancient sanctuary with places that used to be built for worship and predictions of weather conditions, the Meteo Sanctum consists of digital indicators that allow … Read more
The smoking process is tricky because people don’t seem to quit.. How highly is it integrated in our life? Or In a life of a city? May the city be our major tobacco dealer? Or it’s not that simple. Part 1 – Human relation Part 2 – City relation Common factors that can influence smoking rates … Read more
Do you nip out to get your lunch from your favourite café, or perhaps use the Uber Eats app to get your lunch delivered to your office? In India, lunch is a whole different ball game. It’s people-powered – made at home that morning and delivered straight to you, all absent of any technology in time. … Read more
A Story of a Beloved Design This is a story of a one-of-a-kind creation in history, the British Red Telephone Box, which soon after its implementation in 1921 became a symbol of british culture and identity, an inseparable part of the nation’s and, more specifically of London’s urban landscape. Successful designs can be timeless, resonating … Read more
A Visual Story by: According to World Health Organization, 1/5 adolescents engage in some form of substance use. The Question of 100 School Phycologists: How planning could contribute towards the understanding of geographic patterns of substance use in order to distribute human resources all around the country? This visual story, seeks to explore the geographical … Read more
