Invited Talk Michael Szell at Urban Complex Systems
Making cities better with human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science […]
Making cities better with human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science […]
Growing cohesive urban bicycle networks City planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However, common bicycle network planning practices […]
Tom Brughmans, Aarhus University: Archaeological Network Research, illustrated through a study on visual signalling networks of Medieval strongholds in Garhwal Himalaya, India. This presentation provides a brief overview of network research in archaeology. What are the […]
Towards a human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science offers new […]
Understanding bikeability of urban networks Giulia Reggiani, Delft University of Technology About the author: Giulia Reggiani is ending her PhD in the department of Transport and Planning, Delft University of Technology. […]
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 […]
The talk will be streamed realtime here: https://www.youtube.com/watch?v=-ap9IlS4ngM Details of the event: https://www.mondadorieducation.it/formazione-e-aggiornamento/appuntamenti/la-fisica-dei-sistemi-complessi-il-tutto-e-piu-della-somma-delle-parti/
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” […]
Roberta gives a keynote talk entitled Quantifying the biases of scientific success at the 14th annual International Conference of Analytical Sociology
Machine learning for cohort-based high-resolution spatial population projections Marina Georgati, Aalborg University CPH Abstract Cities expand rapidly with international migration significantly contributing to urban growth and urban population change. However, […]