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.
1. Abstract India is a country known for its diversity. In the diverse fabric of inhabitants, India’s governing policies and laws are meant to safeguard the rights and responsibilities of minor groups residing in India, amidst the general laws for all of her inhabitants. Minor groups like tribes of India, registered in the schedule of … Read more
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
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
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
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
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
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
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
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
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
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
#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
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
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.
