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Author: David González

Ingeniero de telecomunicaciones, ha cursado un master en tecnologías para Smart Cities y es diplomado en administración de empresas. Actualmente dirige el Instituto IDHUS y coordina todos sus proyectos y actividades.
AI and Urban Resilience: Learning from Disasters Before They Strike
Opinion and Analysis

AI and Urban Resilience: Learning from Disasters Before They Strike

By David González Jun 03, 2026
Scenario 2040: How Artificial Intelligence Could Redefine Urban Life
Opinion and Analysis

Scenario 2040: How Artificial Intelligence Could Redefine Urban Life

By David González May 27, 2026
  Imagine waking up in a city where everything, from your home to the street outside, adapts dynamically to your needs. The building automatically adjusts its temperature based on your…
Digital Inclusion: Avoiding New Urban Divides in the Age of AI
Opinion and Analysis

Digital Inclusion: Avoiding New Urban Divides in the Age of AI

By David González May 20, 2026
Digital inclusion means more than providing internet access. It involves ensuring that every citizen, regardless of age, income, or background, can participate meaningfully in the digital ecosystem. This includes access…
Smart Lighting Networks: From Efficiency to Citizen Interaction
Opinion and Analysis

Smart Lighting Networks: From Efficiency to Citizen Interaction

By David González May 13, 2026
The foundation of a smart lighting network lies in connectivity. Each streetlight becomes a node equipped with sensors, controllers, and wireless communication capabilities. These lights can measure ambient light, motion,…
AI-Optimized Building Design for Energy Efficiency and Comfort
Opinion and Analysis

AI-Optimized Building Design for Energy Efficiency and Comfort

By David González May 06, 2026
Traditionally, architectural design relies on simulation software and experience-based intuition to balance factors like light, temperature, ventilation, and material use. AI adds a new dimension by processing enormous datasets, from…
AI-Driven Traffic Lights: Reducing Congestion with Intelligent Algorithms
Opinion and Analysis

AI-Driven Traffic Lights: Reducing Congestion with Intelligent Algorithms

By David González Apr 29, 2026
The principle is simple but revolutionary. Instead of following preprogrammed schedules, AI-controlled traffic lights use machine learning algorithms to analyze data from sensors, cameras, and connected vehicles. These systems detect…
Automation in City Administration: Can Algorithms Manage Public Services?
Opinion and Analysis

Automation in City Administration: Can Algorithms Manage Public Services?

By David González Apr 22, 2026
Automation in city administration is not about replacing civil servants; it’s about augmenting their capabilities. Routine, repetitive, and rule-based tasks, such as document verification, appointment scheduling, and data entry, can…

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