Abstract Social relationships are the key determinant of crucial societal outcomes, including diffusion of innovation, productivity, happiness, and life expectancy. To better attain such outcomes at scale, it is therefore paramount to have technologies that can effectively capture the type of social relationships from digital data. NLP researchers have tried to do so from conversational […]

Will Cycling Save Our Cities? A Story of Love and Panic   The climate crisis is putting our future in danger. Cycling is often described as the go-to “green bullet” to make transportation in cities more sustainable and to reduce our exacerbated fossil fuel consumption. But can we still win the global war on cars, […]

Establishing a quantitative science of bicycle networks Making transportation in cities sustainable is one major key to solving the climate, urban livability, and urban transport crises. To this end, urban data science offers new tools to quantify societal problems in cities and to guide policy makers with human-centric solutions. In this talk I outline our […]

Introduction to Data Science

Note 3PM BST is 4PM Copenhagen time.

Reproducible Quality Assessment of OSM Data for Cycling Applications

The Cycle Node Network Planner: A data-driven decision support tool

Coloring Social Relationships Social relationships are the key determinant of crucial societal outcomes, including diffusion of innovation, productivity, happiness, and life expectancy. To better attain such outcomes at scale, it is therefore paramount to have technologies that can effectively capture the type of social relationships from digital data. NLP researchers have tried to do so […]

Pathways in Network Science - A seminar with Roberta Sinatra

Quantifying Political Polarization on a Network Using Generalized Euclidean Distance