The Hong Kong walkability project, is a collaborative effort between students and the teachers to better the walkability of different areas in Hong Kong, especially for children, elderly or disabled people. Students are asked to take regularly-spaced geotagged photographs of all the sidewalks and walking paths in the vicinity of several MTR stations. These images are then analysed to understand the walkability of Hong Kong's streets, and eventually used to train a deep neural network able to predict walkability from any photograph.

The EGoHK project aims to sketch an experiential landscape of Hong Kong. Over several weeks, we ask students to record some of their remarkable experiences in the city, whether good or bad, happy or sad, inspiring or disappointing. With a phone app we developed, students can describe these experiences with a colour, a single word, and short answers to a few questions. We then analyse these inputs with Natural Language Processing (NLP) tools and create visuals to reveal our subjective experiences, etched as paths within and throughout the city.