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.
Parking is an important element of urban infrastructure, influencing the functionality, accessibility, and sustainability of cities. In Barcelona, where neighborhoods vary widely in character, density, and urban design, parking serves as a lens through which we can better understand the city’s transportation dynamics and spatial planning. This research began with an exploration of key questions … Read more
The exploratory analysis performed by Josefina Ovalle, Maja Mawusi and Michał Modelski We present you an exploratory analysis on the New York City’s Citi Bike network in New Jersey. We chose the latest dataset, from October 2024, that gives us data on bike stations, bike types, bike users, and bike usage over time. The choice … Read more
ABSTRACT Derived from the 2020 pandemic sanitary measures for Covid-19, Google created the Community Mobility Reports, which provide valuable insights of how people’s mobility changed as a result of the established health policies. The objective of this analysis was to understand how United States residents’ mobility behavior changed over time due to the COVID-19 pandemic. … Read more
The Backbone of Modernity – Since its invention in 1842, Portland cement has become a cornerstone of modern construction. Its role in shaping cities, infrastructure, and economies is unparalleled, but this comes at a cost. Cement production is energy-intensive, emits significant carbon dioxide, and has become a key driver of global greenhouse gas emissions Cement … Read more
As an introduction to Python, this course explored the foundations of data analysis and visualization using a variety of powerful libraries, including pandas, geopandas, contextily, matplotlib, numpy, seaborn, and plotly. The project below demonstrates the practical application of these tools. Inspired by the recent U.S. election, we focused on analyzing voter behavior and the factors … Read more
