NEtwoRks, Data, and Society (NERDS)

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 […]

Quantitative understanding of success and inequality through network science The unprecedented availability of large-scale datasets on human activities and interactions has enabled us to quantitatively understand how networks shape success and drive inequalities in various fields. In this talk, I will highlight the crucial role of network science in comprehending social phenomena, particularly in the […]

Computational, evidence-based approaches to bicycle network planning   In this talk, I explore the opportunities and limitations of network and data science for bicycle infrastructure planning. With the increasing popularity of cycling as a mode of transportation, and the necessity to invest into sustainable transport, more accurate and reliable data and computational methods on bicycle […]

Exploring Gender Bias and Collaborative Dynamics in Science: Lessons from natural and controlled experiments

https://talks.osgeo.org/foss4g-2023/talk/RPVTPU/ BikeDNA: A tool for Bicycle Infrastructure Data & Network Assessment 2023-06-28, 16:00–16:30 (Europe/Tirane), UBT C / N110 - Second Floor Access to high-quality data on existing bicycle infrastructure is a requirement for evidence-based bicycle network planning, which can support a green transition of human mobility. However, this requirement is rarely met: Data from governmental […]