{"id":10338,"date":"2020-08-05T11:58:10","date_gmt":"2020-08-05T09:58:10","guid":{"rendered":"https:\/\/www.mediaarchitecture.org\/?p=10338"},"modified":"2020-08-05T11:58:10","modified_gmt":"2020-08-05T09:58:10","slug":"pix2city","status":"publish","type":"post","link":"https:\/\/mediaarchitecture.org\/pix2city\/","title":{"rendered":"Pix2City"},"content":{"rendered":"\n
What did we do at the Media Architecture Institute during the recent lock-down? We tested the potential of artificial intelligent to engage citizens. The result is Pix2City<\/a>.<\/p>\n Pix2city is a proof-of-concept that uses artificial intelligence to propose a new form of participation that understands citizens as co-creators. The proof of concept uses artificial intelligence to translate the input from the citizens into visualizations of the result. People can freely express their visions for the city and see for example how this would affect the amount of shadows on the streets. All this without the need for any expertise in urban planning or simulations. Here AI is the \u201cmagic\u201d building block as it allows to translate graphical inputs and predict the results.<\/p>\n With this tool, we want to help authorities to find common ground between long term plans and the sentiment of the citizens. Here, we need tools that allow people to express freely their ideas -without any expertise in urban planning. Pix2City enables people to transform their visions into a realistic visualization of the result. It shows for example how planting trees would increase the amount of shadows and trigger a cooling effect in the city.<\/p>\n