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.
The world is in constant flux, domestic and international flights play a role in the fast paced travel that has become a normality. This project was conducted with python script in Jupyter notebook, to map out the airports and routes on our planet. PYTHON SCRIPT: import pandas as pd ports = pd.read_csv(“pathtoports.csv”)print(ports)from shapely.geometryimport Pointimport geopandas … Read more
1. Abstract While studying about phenomenology and livability, it’s expression and its governing aspects, it is essential to recognise the true meaning of it. Phenomenology is reffered to the lived experience of objects, space and other surroundings. It is also important to understand the how, when and where of the experiences and what experiences are … Read more
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
THE GAZA STRIP CONFLICT Since October 7th, we have been witnesses to the atrocities of the humanitarian crisis and genocide in Gaza. Over 32,000 Palestinian people have been killed, and another 74,000 reportedly injured to date. About 70 per cent of those killed are reported to be women and children. The population of Gaza consists of … Read more
Introduction The objective of this Data Science project is to investigate the possible evolution that the value of a chess piece may experience when they’re allowed to move on a board of higher dimensions. The project will analyse the movement of the chess pieces beyond the 2d plane and onto the 3d cube, 4d hypercube … 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
COP is a climate conference that aims to cut emissions but paradoxically boost carbon footprints due to increased transport and attendance. This situation offers host cities a chance to engage in greenwashing, presenting a façade of environmental responsibility. This underscores the intricate challenges involved in realizing true sustainability during major events, highlighting the need for … 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
The Cauvery basin is not just a river; it’s an intricate ecosystem that supports diverse flora and fauna and sustains the livelihoods of farmers in both Karnataka and Tamil Nadu. Our hypothesis posits that the proposed Mekedatu dam, far from being a panacea, is an unnecessary venture that could further destabilize this delicate balance. The … Read more
The Question: How far does the recent decline of US FDI (Foreign Direct Investment) into China, play a role in China getting more insecure and expanding its global reach of power. 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 … Read more
Introduction Greece’s scorching summers and dry climate create a perfect storm for wildfires. These fires cause widespread devastation, burning homes and harming ecosystems, with tragic consequences like loss of life. While the climate undoubtedly sets the stage, many in Greece believe human activity is the real culprit. Accidental fires from carelessness or deliberate acts of … Read more
Undertaken by: Avi Sharma Hypothesis : Exposure to Music correlates with variations in Mental Health among people. We all know that listening to music can evoke various emotions, depending on the song. What I am exploring is the idea that exposure to music, in general, can play a role in shaping your overall mental health … Read more
Miami cannot pay for its affordable housing without additional funding. Since 2020, the market has been scorching hot – with average rent rising at quadruple the pace of median income (Zillow, U.S. Census). New opportunities at the federal, state, and local levels will open budget to spend. But, conflicting federal and state geographies of interest … Read more
Looking for a correlation between the presence of closed condominiums in Bogota and Crime Rate “In Bogotá, one third of households live in gated communities. This phenomenon is a misleading application of the model idealized by the post-war urbanized American suburbs where an ideal, safe, happy, perfect life was idealized. A life where mobility prioritizes … Read more
Introduction Pokémon GO, the groundbreaking augmented reality mobile game developed by Niantic, has revolutionized the gaming industry since its launch in 2016. With millions of players worldwide, the game transcends traditional gaming boundaries by integrating virtual creatures known as Pokémon into real-world environments. As players explore their surroundings, they encounter Pokémon spawns in various locations, … Read more
Introduction In recent decades, the importance of urban green spaces and their potential impact on various aspects of urban life has gained significant attention from policymakers, urban planners, and researchers worldwide. The creation and maintenance of green spaces within urban environments have been associated with numerous benefits, including environmental sustainability, physical and mental health improvements, … 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
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
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
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
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
