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.
Urban Green Spaces are critical urban infrastructure – equally important to how our city functions as transport networks, and particularly vital to the wellbeing of our community. Urban greening supports Melbourne’s economy, providing cooling and amenity which supports the pedestrian economy and reduces operating costs for local businesses. Melbourne is encouraging more innovative methods for … 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
Main question. How built heritage affects real estate market in European cities? Hypothesis Let’s look at this question on the example of Barcelona. Let’s single out the city neighborhoods (barrios) where historical buildings are located, and analyze the ratio of average real estate prices to them, in particular, the sale prices of apartments and houses. … Read more
– 00– The project aims to analyze the sounds of streets in Barcelona, cluster them and compare. Firstly, a table of sound types evaluation is created. It consists of point data, network data and sound intensity data. – 01– The methodology and analysis of street segments is based on 1 dataset, that was combined using … Read more
The city of Mumbai, known as the financial and entertainment capital of India, has experienced a significant surge in housing prices and rents in recent years. The demand for residential properties in Mumbai has been steadily increasing due to factors such as population growth, urbanization, and the city’s thriving job market. In the midst of … Read more
OVER THE NEXT FEW DACADES HELSINKI EXPECTS TO ADD AROUND 250.000 NEW RESIDENTS IN 30-40KM OF TRANSFORMED MOTORWAY – LIKE HIGHWAYS PROJECT DESCRIPTION: In the future, a transition from highways and roadways to boulevards is anticipated due to a projected decrease in the number of cars. This shift is expected to address several issues commonly … Read more
The project attempts to understand correlations between several relevant factors of today where it aims at identifying the correlations between the mental health data of the city, urban heat island effect, land surface temperature, population, green areas, total neighborhood area, green ratio per neighborhood, NDVI values, distances in 500m to the green spaces, distances in … Read more
OPTIMIZING THE EXISTING WALKABILITY INDEX Urban design plays a pivotal role in shaping the livability of a city, and walkability is a crucial aspect that directly impacts its residents’ quality of life. The City of Melbourne has developed a Walkability Index. This project aims at optimizing the existing framework by integrating key parameters related to … Read more
London is a city with high density of bike lane networks, and the high costs on metro drives people using bike more. But how people interact with different factors such as tree canopy, amenities and the urban form? Data preparation To start the analysis, I download the bike lane network sample area from Openstreetmap. Urban … Read more
Starting in 2015 urban development spread beyond the administratively defined Melbourne metropolitan area, into Greater Geelong and the Shire of Mitchell. The Melbourne Metropolitan Region or Greater Melbourne comprises 31 Local Authority Governments (LGA, municipalities and shires) aggregated in 6 metropolitan partnerships. Two of them, Inner and Inner South-East allocate the metropolitan core. This project … Read more
The New Delhi Material Repository and Urban Mining project focuses on the city’s sustainable development by implementing the principles of urban mining and establishing a material repository. As the capital city of India, New Delhi holds significant historical and governmental importance, with its urban fabric comprising a combination of planned and unplanned elements. However, with … 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
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
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
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 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
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
The MaCT01 students were tasked with training a model that would be used to predict NYC yellow taxi ride durations using machine learning. The dataset included pickup and drop-off datetimes, location coordinates and passenger count. Visualizing the data helped to understand the correlation between the columns and remove the highly correlated values Understanding the distribution … Read more
The source dataset provided for this project is derived from the 2016 NYC Yellow Cab trip records, which were made publicly available on the Big Query platform of the Google Cloud. The data was originally collected and published by the New York City Taxi and Limousine Commission (TLC). This dataset serves as the foundation for … Read more
Climate change is increasing the frequency and severity of extreme weather events, and cities like Mumbai with a population of over 12 million people, is particularly vulnerable to the impacts of climate change. In fact, studies have shown that Mumbai is one of the cities most at risk from rising sea levels more intense floods, … Read more
Introducing the Mobility Footprint, an interactive dashboard designed to promote awareness about mobility in urban environments and its impact on CO2 emissions. By selecting your typical mode of transportation and choosing from eight pre-determined destinations, the dashboard will provide you with a recommended route, estimated travel time, and the CO2 emissions associated with your selected … Read more
