Keynote talk Michael Szell at Alan Turing Institute

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 […]

Invited talk: Roberta Sinatra at SICSS-Aachen-Graz (online)

Roberta will give an invited talk at the (virtual) Summer Institutes of Computational Social Science - Graz Aachen edition: Quantifying the dynamics of impact in science and art. The unprecedented availability of large-scale datasets about human dynamics has advanced our understanding of social collective phenomena quantitatively. In this talk, we study the collective phenomenon of […]

NERDS SEMINAR: Arda Halu

ITU, 3F07 Kaj Munks Vej 11, Copenhagen, Denmark

 Tackling biological context, one network at a time: Examples from network biology and network pharmacology Arda Halu, Channing Division of Network Medicine, Brigham/ Women's Hospital (BWH)/Harvard Medical School (HMS) Abstract Networks have proven time and again to be highly versatile tools in modeling biological interactions, finding useful applications in basic and clinical research alike. In […]

Ane Rahbek Vierø at CRBAM 2022

University of Amsterdam Oudezijds Achterburgwal 237, Amsterdam, Netherlands

Reproducible Quality Assessment of OSM Data for Cycling Applications

Anastassia Vybornova at CRBAM 2022

University of Amsterdam Oudezijds Achterburgwal 237, Amsterdam, Netherlands

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

Keynote by Luca Aiello at International Conference on Discovery Science 2022

Campus St Priest 161 Rue Ada, 34095, Montpellier, France

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 […]