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.
Objective | Information from a Photo Photos are widely used to quickly capture context but are not easy to relate to spatial data. To remedy this challenge for users of 3D modeling software, we created a tool that integrates Python and Grasshopper to extract the location and time information from a photo and output variable … Read more
Introduction to Bicing Bicing is the bike-sharing service in Barcelona, Spain, providing residents and tourists with an eco-friendly, convenient, and affordable means of transportation. Launched in 2007, Bicing has grown to include thousands of bicycles distributed across hundreds of docking stations throughout the city. Users can pick up a bike at one station and return … Read more
Introduction This presentation outlines the development and evaluation of machine learning models aimed at predicting the availability of bikes at various bicing stations in Barcelona. We’ll discuss the variables involved, the modeling techniques used, and compare the performance of different models. Python is a friendly environment for preparing, training and forecasting machine learning algorithms within … Read more
Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more
Exploring future cities through balancing global & local agendas Located on what’s called the ‘Coromandel Coast’ of South East India, Chennai is home to a population of over 10 million people, approximately. Earlier known as Madras, Chennai is part of the top 5 populous cities of the country and is located within the second most … Read more
Abstract Dakar is Senegal’s capital city and rapidly urbanizing economic center. Today, Dakar’s urban area is home to 3.54M people, half of Senegal’s population, and generates 55% of the Country’s GDP. This growth is artificially constrained by an urban growth boundary, where new homes are informally built, and due to the city’s topography, a peninsula … Read more
Where is Lahore? Lahore, the capital city of the Punjab province in Pakistan, is a historic urban center known for its rich culture, vibrant life, and significant economic contributions. Situated near the eastern border with India, Lahore stands as a testament to centuries of evolution, from a small walled city to a sprawling metropolis. As … Read more
Dhaka, the bustling capital of Bangladesh is at a critical juncture in its urban development. With a population exceeding 10.4 million, the city faces significant challenges in housing, transportation, and environmental sustainability. This project is a part of a comparative analysis done by the students, understanding these challenges under the framework of SDG 11 – … Read more
Introduction In the dynamic landscape of the “Global South,” cities are at the forefront of rapid urbanization, presenting both opportunities and challenges for sustainable development. Recognizing the urgency of addressing these issues, a consortium of experts and practitioners has embarked on a groundbreaking initiative to assess the nexus between urbanization and sustainability across diverse cities. … Read more
Cairo, Egypt’s vibrant capital, exemplifies rapid urbanization in the Arab world. The city’s growth presents multifaceted challenges, from housing to transportation, reflecting modern urban planning complexities. This project explores Cairo’s development strategies, linking them to the United Nations Sustainable Development Goals (SDGs), particularly Goal 11: “Sustainable Cities and Communities.” By examining Cairo’s case, we gain … Read more
The workshop challenged us to engage with the topic of planetary urbanization through the United Nations Sustainable Development Goals 2030 agenda. We chose to work on the city of Neuquen as it represents an example of a city that is undergoing a fast transition in the context of climate change. Neuquen province has a rich … Read more
Abstract Latin America finds itself at a crossroads, facing a tightening grip from a seemingly paradoxical situation: a growing scarcity of water amidst regions prone to both droughts and floods. This foundational story explores the current and future drought conditions gripping the continent, highlighting the environmental, social, and economic challenges at play. Introduction Understanding the … Read more
Introduction: Shorter & Sharper Events Imagine the persistent drumming of rain against your window. Not the comforting tapping of a spring shower, but a relentless torrent that seems to prolong for days. This isn’t science fiction, but a glimpse into the potential future of many Latin American cities. A staggering 40% of the region is … Read more
The year is 2100. Latin America is sinking. Due to global warming the polar icecaps have almost melted completely. In addition the increased temperature has caused the global water mass to expand by almost 1%. As a consequence sea levels are rising at unprecedented levels globally. The coastline in South America is hard-hit by these … Read more
Grasshopper’s neural network component is turning data into smart, functional design solutions. The neural network component within this environment presents a new frontier for design intelligence. Here’s a walkthrough of how this component transforms raw data into smart design solutions. The Training Grounds: Neural Network Trainer Designers input parameters into the Neural Network Trainer—this is … Read more
