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.

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The Boulevard Method

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

New York Taxi Analysis

As the Submission about Data Digital Tools & Big Data II, we analyzed the new york taxi data. We were given the data about Taxi Infomation in New York, in 2016.In this data, there is information, from the data, I made new information, Erased some columns, and fix the data. Reading the data the data … Read more

The City of Marvelous Disorder

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

Digital CO2 ZERO

The rising problem of Digital Energy consumption Recent estimates put the contribution of the information and communications Technology, the (ICT) sector – which includes the data centers, devices and networks used for  at around 4 % of global Greenhouse gas emissions. A trend that is unlikely to stop, as the amount of data produced and … Read more

Active Ageing in Barcelona

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 Perks of Proximity

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

Machine learning model to predict NYC cabs’ trip duration

Goal: to predict trip duration of NYC cabs using machine learning models. Tools: Python + Nympy + Pandas + Datetime + Plotly.express + Matplotlib + Math + Seaborn + Bokeh + Sklearn Stages of project: data cleaning, data analysis, data preparation, data testing, evaluating prediction accuracy. Data cleaning The first dataset visualization with splitting datasets … Read more

Data-Driven Rides

Machine Learning-based Analysis of NYC Cab Trip Duration “Data-Driven Rides” is an entry for the first MaCT Machine Learning Competition that hosted on Kaggle which involves predicting the duration of taxi rides in New York City. The dataset provided for this competition is based on the 2016 NYC Yellow Cab trip record dataset and the … Read more

NYC Taxi Trip Duration Predictive Modeling

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

Predicting NYC Cab Ride Duration using ML

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

2016 NYC Yellow Cab trip

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

1st Traditional IAAC MaCT ML Competition

#Objective #A Kaggle Competition to MaCT01 students to show their knowledge, designing an end-to-end machine learning project to predict the “Trip Duration” of NYC Taxi trips. #Workflow #First of all a workflow hast do be developed, which represents a classic approach for training machine learning models, analysing the provided training data provided by the submission, … Read more

NYC Cab Trip Duration Prediction

The aim of the project is to predict trip duration, using 2016 NYC YELLOW CAB TRIP DATA. Structuring the dataset The analysis begins with outlier identification. The passenger_count variable has two outliers: 0 and 9, which compared to the amount of people allowed by the NY Limousine law, is impossible. Also, there were some pickup … Read more

Mumbai Dabbawala

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

Digital space infrastructures

This is a short visual story about my personal digital space usage patterns and our need to be aware of our digital carbon footprint. Tracking my personal habits has revealed some shocking facts, which led towards reflecting on intangibility of the digital world, hopelessness in perceiving it as a hyper object and an urge to … Read more

Party to live or live to party?

a story about Spanish festivals Does it possible to party all year long from festival to festival throughout Spain? The story starts from the New Year holiday at the 1st of January For the better clusterisation we will use administrative division of Spain in autonomous communities (comunidades) and provinces. Each province of Spain has its … Read more

The Geography of Substance Use.

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

A Policy for Digital Carbon Footprint, Barcelona

Every single search query, every streamed song or video and every email sent, billions of times over all around the world – it all adds up to an ever-increasing global demand for electricity, and to rising CO2 emissions too. Our increasing reliance on digital tools has an environmental impact that’s becoming increasingly harder to ignore. … Read more

Urban Loneliness in FAST-GROWING Cities

Austin, a Lonely City Context Over the last decade, Austin’s status as a state-of-art technology hub along with its high concentration of venture apital, warm climate and vibrant cultural offerings has set the Texan city as the 2nd faster-growing U.S. city in 2022, only after San Francisco. But paradoxically , urban loneliness reflects as one … Read more

Decarbonization of Housing Stock in EU

Buildings are an intrinsic part of our lives, where we spend most of our time and unfold as human beings. However, through its different forms, the built environment is responsible for the majority of our energy consumption (around 40 %) and a primary source of greenhouse emissions GHG (around 36 %) (Anderson et al., 2015).  … Read more

The Air we Breathe

An analysis of the correlation between population and air quality in the districts of Barcelona. The air quality in urban areas have rapidly declined over the years. In the process of economic development, air pollution has become a significant health hazard. This project analyses the relationship between population density and air quality levels in Barcelona. … Read more

The Wild Deal

ABSTRACT Urban Rights is a term which has been coined by the philosopher Henri Lefebvre (Lefebvre, 1967)  and further explored by David Harvey (Harvey, 2003). It is a concept of a collective right to change the city and shape the process of urbanization. Thus, the right to the city does not merely address what the … Read more

Deaths from air pollution in Central Europe

Air pollution- the combination of outdoor and indoor particulate matter, and ozone– causes more than 7 million deaths each year (World Health Organisation) and it is considered to be one of the world’s largest health and environmental problems. The same data shows that 99% of the world population currently live in places with air quality … Read more

Healthcare BCN

Understanding and analysing the existing Healthcare system of Barcelona with the help of open datasets available. This further helps us to understand the robustness, need and requirement to fill the gaps in the system if any with respect to their typologies and location as per districts Step 1: Documenting the distribution of different types of … Read more