An algorithm to plan more livable cities

We are doing an experiment with Cotec Foundation to design more livable cities using artificial intelligence. This experiment needs citizen collaboration to train an algorithm named  (in memory of Arturo Soria). Arturo will learn from citizens what characterizes the most livable urban environments.

Help us train Arturo by following these instructions:

1. Open the link http://arturo.300000kms.net

2. Answer the short survey

3. Choose among the pairs of photographs

4. Play as many games as you like (the most, the better !!!)

After your participation, the science of machine learning begins. Your choices will help prioritize the relevance that each urban parameter (such as urban density, proportion of land uses, etc) has in the definition of habitability. The result of this experiment will be public and open to other researchers, administrations, designers …

In the project website (http://arturo.300000kms.net) you can also explore the map of the habitability in Madrid, the ranking of the most relevant urban parameters and a comparison of the characteristics of the most livable streets. You can also download the resulting data sets from the experiment and read a more detailed description of how it works.

The results will be presented in the event # Imperdible_03 (organized by Cotec Foundation) on November 23 and 24 at Fernán Gómez Centro Cultural de la Villa + Plaza Colón.

If we want Arturo to be an intelligent algorithm, we need smarts citizens to train him!

Thank you so much for your help!

-> Link to the project
-> Link to #Imperdible_03

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