Urban scAInce: why and how cities transform through artificial intelligence and their associated technologies
The project aims to assess the impact of AI and smart technologies on urban sustainability by correlating historical data, evaluating AI solutions, and creating a virtual open science city for collaborative change.
Projectdetails
Introduction
Innovations have largely been the driver of human development; with the current Anthropocene peaking humanity’s influence on the livability of our planet. Technology is believed to be, once again, the solution to severe environmental, economic, and social crises, even though its implementation has a mixed track record of finding solutions just to create new and sometimes more severe problems [8].
Research Question
We ask whether more sustainable cities are smarter? Therefore, we will develop the urban scAInce theory transforming our understanding of how artificial intelligence and its associated technologies have, can, and will alter urban systems questioning whether the technology transformation leads to more sustainable living in our cities.
Objectives
We will achieve this goal by:
- Historically correlating urban sustainability outcomes with smart city technology adoption.
- Evaluating privately-driven AI solutions on their impact to create more sustainable cities through a pre/post study.
- Evaluating whether future cities will be sustainable by inaugurating a virtual open science city that allows its residents living across the world to jointly change their virtual environment.
- Estimating the sustainability gap of 41,000 cities through analyzed archetype cities.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.998.348 |
Totale projectbegroting | € 1.998.348 |
Tijdlijn
Startdatum | 1-11-2023 |
Einddatum | 31-10-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- TECHNISCHE UNIVERSITAT DARMSTADTpenvoerder
Land(en)
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Playing urban mobility games with intelligent machines. Framework to discover and mitigate human-machine conflicts.
The COeXISTENCE project explores AI's impact on urban mobility, aiming to identify and mitigate conflicts between machine-driven decisions and human travel needs through multi-objective reinforcement learning.
The Model City. Drivers and Mechanisms of Long-term Urban Evolution and Resilience
The Model City project aims to analyze historical urban evolution and resilience by comparing diverse past cities to identify factors influencing their long-term survival and collapse.
IMAGINE climate change adaptation in urban areas
'IMAGINE adaptation' aims to redefine successful urban climate adaptation by evaluating local practices, enhancing monitoring methods, and informing global goals through a comparative study across 12 cities.
Rise and Demise of Industrial Modernity
RiDe aims to synthesize historical and contemporary aspects of industrial modernity using a mixed-method approach to identify transformative prospects for sustainability across nations.
Quantifying AI-infused Science
scAIence aims to quantify the impact of generative AI on scientific writing and communication, exploring its implications and redefining metrics for AI-generated content in science.
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