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.


Optimal Pathfinding in Digital Terrain

This exercise undertakes developing a shortest path simulation on varied terrains. Starting with basic point-to-point movements, I integrated agent behavior, enabling these agents to make decisions and take actions to move towards the destination point by choosing the best available option. The development of the simulation follows agent movement behaviors from two separate algorithms: Movement … Read more

Tracking Cross-Border Monetary Flows to measure Geopolitical Insecurity

Creating a streamlined pipeline to visualize and extrapolate financial data enabling a correlation with spatial geo-specific information. The World and all countries alike have been increasingly more susceptible to events and developments in the geo-political theatre. It is not surprising that the world’s top two economic and military superpowers play a pivotal role in this … Read more

Ideals Along Lines of Conflict

The killing of Nahel Merzouk was not an accident. The 17-year-old French Algerian boy was killed where the potential for conflict is high, in Nanterre. A young Muslim in a yellow Mercedes along the western Champs-Élysées unfortunately made Nahel a prime candidate for police violence resulting in death. His death brought about a week of … Read more

Confronting Forms of Erasure

History is not always written in neat paragraphs and grand monuments. Sometimes, the most important stories are the ones left untold. The ones silenced, forgotten, or deliberately erased. In 1994, over a period of 100 days, the Rwandan genocide took place. Hutu extremists; fueled by ethnic hatred and political manipulation, sought to eradicate the Tutsi … Read more

Darien: Closing the data Gap

Imagine a massive highway stretching from Alaska all the way down to the tip of Argentina. That’s almost possible through the Pan-American Highway, except for one crucial interruption: the Darien Gap. The Darien Gap is a sprawling, dense jungle separating Panama and Colombia, an obstacle that breaks the otherwise continuous highway. But the Gap isn’t … Read more

Hyperenergetic Viladecans

By 2100, the global temperature is forecasted to increase from 2 to 4 degrees Celsius due the effects of Greenhouse Gases Emissions and Human Activities. The City of Viladecans has developed a Vision by 2030 which expects the city to become EMISSIONS NEUTRAL, and EMISSIONS NEGATIVE by 2050. For approaching this goal, HYPENERGETIC VILADECANS establishes … Read more

City in Motion: Analyzing People Movement with Agent-Based Modeling

In the realm of urban design, understanding movement behaviors is paramount for creating efficient and people-centric city layouts. In this individual project, I delve into the intricacies of movement behaviors using computational tools and techniques, including agent-based modeling. By incorporating the loop evaluate field amplitude tool and employing vector display, scalar fields, heat maps, and … Read more

45 Years of Piracy: Strengthening Global Maritime Security through Non-Military Approaches

Our project embarked on a mission to tackle global shipping piracy without resorting to military action. We faced a major challenge: finding and using publicly available information to craft a proposal that countries and international organizations would support. 1. WHY SHIPPING PIRACY? Within the context of Networked Flows, our directive was to pinpoint potential disruptions … Read more

NYC Taxi Time Traveler

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 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

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

BullerbyNet

The Core challenges of urban childhood As cities grow and develop, there is often a lack of safe and child-friendly spaces for children to play, walk or bike alone. The increase in traffic and air pollution makes it challenging and unsafe for children to travel on foot or by bicycle. Crime and social fear also … Read more

MOBILITY FOOTPRINT

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

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

Rethinking Industrial Clusters Policies

MOBILITY By selecting the municipalities along the industry belt, we identify the differences about mobility pattern. Commuting people are coming by over half an hour’s trip to work in weekday, but the number of people declines in the weekend.