Quantifying the Urban Exposome

Last updated on Oct 2, 2021

The 21st century would witness one of the largest urban migration in human history. A lot of research has gone into understanding the effects of the urban life on physical and mental health. The results have been unanimous: The urban environment has long lasting impacts on our well being. The facets of our urban environment that impact on our health and well being are called the urban exposome. In these projects, I attempt to quantify this exposome using techiques from deep learning, complex network, GIS, and NLP.

These works have got some press attention. Please find some coverages below:

Fast Company: https://www.fastcompany.com/90455358/ai-can-now-design-cities-should-we-let-it

Cosmos Magazine: https://cosmosmagazine.com/technology/want-to-beautify-your-street-ask-a-computer

Deep learning Urban Informatics

Sagar Joglekar, Ph.D.

Senior Machine Learning Scientist

Fallible philomath

Publications

Marios Constantinides, Sagar Joglekar, Sanja Scepanovic, Daniele Quercia (2021). Imagine a Walkable City: Physical activity and urban imageability across 19 major cities. Imagine a Walkable City: Physical activity and urban imageability across 19 major cities.

PDF Dataset Project Source Document

Sanja Scepanovic, Sagar Joglekar, Stephen Law, Daniele Quercia (2021). Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data. Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data.

PDF Project Source Document

Wonyoung So, Edyta P. Bogucka, Sanja Scepanovic, Sagar Joglekar, Ke Zhou, Daniele Quercia (2020). Humane Visual AI: Telling the Stories Behind a Medical Condition. Humane Visual AI: Telling the Stories Behind a Medical Condition.

Preprint PDF Project Project

Sagar Joglekar, Daniele Quercia, Miriam Redi, Luca Aiello, Tobias Kauer, Nishanth Sastry (2020). FaceLift: a transparent deep learning framework to beautify urban scenes. FaceLift: a transparent deep learning framework to beautify urban scenes.

Project Source Document

Tobias Kauer, Sagar Joglekar, Daniele Quercia, Miriam Redi, Luca Aiello (2018). Mapping and Visualizing Deep-Learning Urban Beautification. Mapping and Visualizing Deep-Learning Urban Beautification.

Project Source Document