Distilling knowledge from diverse image data for urban planning and design

Organised by

• Department of Political and Social Sciences

We are living in an information age characterised by an abundance of data and a plethora of diverse computational methods. The central question at hand is how we can effectively distil actionable knowledge from this data for the purpose of planning and designing more sustainable and liveable cities. Using three case studies, this talk will demonstrate how to use image data from the eye-and-aerial level to identify spatial inequalities in window view quality, aid in equitable tree planting efforts and in synthesising plausible counterfactuals to explain these black-box models for non-experts.

The Zoom link will be sent upon registration.

Links:

• CIVICA Data Science Seminar Series