Data Visualization

Imagine a Walkable City: Physical activity and urban imageability across 19 major cities

Can the shape of a city promote physical activity? The question of why individuals engage in physical activity has been widely researched, but that research has predominantly focused on socio-demographic characteristics (e.g., age, gender, economic …

How epidemic psychology works on Twitter: evolution of responses to the COVID-19 pandemic in the US

Disruptions resulting from an epidemic might often appear to amount to chaos but, in reality, can be understood in a systematic way through the lens of “epidemic psychology”. According to Philip Strong, the founder of the sociological study of …

The Healthy States of America: Creating a Health Taxonomy with Social Media

Since the uptake of social media, researchers have mined online discussions to track the outbreak and evolution of specific diseases or chronic conditions such as influenza or depression. To broaden the set of diseases under study, we developed a …

Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data

The presence of people in an urban area throughout the day -- often called 'urban vitality' -- is one of the qualities world-class cities aspire to the most, yet it is one of the hardest to achieve. Back in the 1970s, Jane Jacobs theorized urban …

FaceLift: a transparent deep learning framework to beautify urban scenes

In the area of computer vision, deep learning techniques haverecently been used to predict whether urban scenes are likely tobe considered beautiful: it turns out that these techniques areable to make accurate predictions. Yet they fall short when …

Mapping and Visualizing Deep-Learning Urban Beautification

Information visualization has great potential to make sense of the increasing amount of data generated by complex machine-learning algorithms. We design a set of visualizations for a new deep-learning algorithm called FaceLift …