Ane at Velo-City 2023

Examining Bicycle Network Data: A reproducible workflow for evaluating data quality Session: The potential of open data for better infrastructure

Luca Aiello at FRCCS 2023

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 […]

Roberta at Reykjavik University

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 […]

Michael at Reykjavik University

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 […]

Roberta at ICSSI

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

Anastassia at FOSS4G 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 […]

Roberta at ISSI 2023

Quantifying biases and inequalities in science Every day our life is made easier by efficient measures and algorithms that quantify, search, and rank scientific information. Yet, these measures and algorithms have an issue: they are trained on citations, which are ingrained with human biases. Therefore the output is inherently biased too, creating inequalities, raising concerns […]

Anastassia at NetSci 2023 Luca Maria Aiello, Sándor Juhász, Anastassia Vybornova, Eszter Bokányi and Michael Szell Highways are barriers to urban social connections PRESENTER: Anastassia Vybornova ABSTRACT. Geographic distances influence social connections inside cities - even in our digital age . Both the perception of physical distance and the likelihood of forming social ties across locations are influenced by infrastructural elements, as previous studies […]