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X-WR-CALNAME:Networks, Data, and Society (NERDS)
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X-WR-CALDESC:Events for Networks, Data, and Society (NERDS)
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DTSTART;TZID=Europe/Copenhagen:20220601T123000
DTEND;TZID=Europe/Copenhagen:20220601T133000
DTSTAMP:20260527T030233
CREATED:20220505T112148Z
LAST-MODIFIED:20220505T112148Z
UID:1062-1654086600-1654090200@nerds.itu.dk
SUMMARY:NERDS SEMINAR: Marina Georgati\, AAU
DESCRIPTION:Machine learning for cohort-based high-resolution spatial population projections\nMarina Georgati\, Aalborg University CPH\nAbstract\nCities expand rapidly with international migration significantly contributing to urban growth and urban population change. However\, cities miss out on a great opportunity of reclaiming valuable knowledge on future population distribution due to the lack of established tools and methodologies to project where it is more likely for people of specific socio-demographic groups to set up home. The present work suggests that spatially explicit projections can play a significant role as a tool for urban planning and for managing diversity creatively\, especially when a combination of social\, demographic\, and topographic data is utilized. Machine learning techniques have demonstrated capabilities to capture relationships among this plethora of urban features to estimate future population distribution. We present a flexible\, ML-based methodology for high-resolution gridded population projections by demographic characteristics\, while combining various socio-demographic and topographic input layers. \n\n\nBio\nPhD fellow with background in architecture and geoinformation. I am interested on working at the intersection of socio-economic studies and computer sciences. I am currently exploring Machine Learning solutions for cohort-based spatial population projections. Passionate with urban analysis\, demography and programming\, I focus on migration patterns and their spatio-temporal variations at local level in European cities within the scope of the H2020 FUME Project.
URL:https://nerds.itu.dk/event/nerds-seminar-marina-georgati-aau/
LOCATION:ITU\, 3F07\, Kaj Munks Vej 11\, Copenhagen\, 2300\, Denmark
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DTSTART;TZID=Europe/Copenhagen:20220608T123000
DTEND;TZID=Europe/Copenhagen:20220608T133000
DTSTAMP:20260527T030233
CREATED:20220530T085009Z
LAST-MODIFIED:20220530T085009Z
UID:1120-1654691400-1654695000@nerds.itu.dk
SUMMARY:NERDS SEMINAR: Rossano Schifanella\, University of Turin
DESCRIPTION:Revealing the determinants of gender inequality in urban cycling with large-scale data\nby Rossano Schifanella\, Associate Professor in Computer Science at the University of Turin. \nAbstract\nCycling is an outdoor activity with massive health benefits and an effective solution for sustainable urban transport. Despite these benefits and the recent rising popularity of cycling\, most countries still have a negligible uptake. This uptake is especially low for women: there is a largely unexplained\, persistent gender gap in cycling. To understand the determinants of this gender gap in cycling at scale\, here we use massive\, automatically collected data from the tracking application Strava on outdoor cycling for 61 cities across the United States\, the United Kingdom\, Italy\, and the Benelux area. Leveraging the associated gender and usage information\, we first quantify the emerging gender gap in recreational cycling at city level. A comparison of cycling rates of women across cities within similar geographical areas unveils a broad range of gender gaps. On a macroscopic level\, we link this heterogeneity to a variety of urban indicators and provide evidence for traditional hypotheses on the determinants of the gender-cycling gap. We find a positive association between the female cycling rate and urban road safety. On a microscopic level\, we identify female preferences for street-specific features in the city of New York. Enhancing the quality of the dedicated cycling infrastructure may be a way to make urban environments more accessible for women\, thereby making urban transport more sustainable for everyone.
URL:https://nerds.itu.dk/event/nerds-seminar-rossano-schifanella-university-of-turin/
LOCATION:ITU\, 3F07\, Kaj Munks Vej 11\, Copenhagen\, 2300\, Denmark
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DTSTART;TZID=Europe/Helsinki:20220613T130000
DTEND;TZID=Europe/Helsinki:20220613T140000
DTSTAMP:20260527T030233
CREATED:20220613T091436Z
LAST-MODIFIED:20220613T091436Z
UID:1151-1655125200-1655128800@nerds.itu.dk
SUMMARY:Roberta gives a Keynote at Nordic Network for Science of Science
DESCRIPTION:The Nordic research councils in the Humanities and Social Sciences have provided generous funding to establish the Nordic Network for Science of Science and to run a series of workshops about the latest research on the science of science\, focusing on the research scene within the nordic countries. Roberta is giving a keynote at the first workshop\, hosted in Helsinki\, about “Quantifying the biases of scientific impact“.
URL:https://nerds.itu.dk/event/roberta-gives-a-keynote-at-nordic-network-for-science-of-science/
LOCATION:center for philosophy at University of Helsinki\, Helsinki\, Finland
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DTSTART;TZID=Europe/Copenhagen:20220615T112000
DTEND;TZID=Europe/Copenhagen:20220615T120500
DTSTAMP:20260527T030233
CREATED:20220529T163821Z
LAST-MODIFIED:20220607T111109Z
UID:1117-1655292000-1655294700@nerds.itu.dk
SUMMARY:Keynote talk Michael Szell at Alan Turing Institute
DESCRIPTION:Establishing a quantitative science of bicycle networks\nMaking 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 recent and ongoing efforts towards that end\, focusing on vulnerable road users and active travel\, in particular towards establishing a data-driven science of bicycle networks. I first discuss inequalities between transport modes through mobility space and collision threat analysis\, then present new computational methods based on network science to grow and plan bicycle networks optimally and equitably for various urban development stages. All research comes with open code and data\, and with concrete policy recommendations towards better urban livability\, public health\, and decarbonization.
URL:https://nerds.itu.dk/event/keynote-talk-michael-szell-at-alan-turing-institute/
CATEGORIES:NERDS away
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