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X-WR-CALDESC:Events for Networks, Data, and Society (NERDS)
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DTSTART;TZID=Europe/Copenhagen:20230215T123000
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SUMMARY:NERDS Seminar with Francisco Rowe
DESCRIPTION:Our NERDS seminars continue on Wednesday Feb 15 with a talk from Francisco Rowe\, Senior Lecturer at the Department of Geography and Planning\, University of Liverpool. \nFrancisco Rowe will introduce the research project ITINERANT: InequaliTies IN Experiencing uRbAn fuNcTion: \nITINERANT aims to understand how different socio-economic groups experience\, access and benefit from the wide array of functions cities offer. To this end\, ITINERANT uses machine learning and combines a variety of traditional and digital footprint sources to measure urban function and capture how people move through these functional spaces. Understanding of how people use urban spaces is key to develop policies that ensure that benefits in accessibility to urban amenities are shared fairly across society. In the talk\, we will describe the key findings of the project. First\, we will describe the extent to which people move from urban areas to suburbs and further afield during COVID-19. Second\, we will present a novel approach to create a classification of urban function. Third\, we will show differences in the patterns of how people from different deprivation areas move across ranging types of urban functions.
URL:https://nerds.itu.dk/event/nerds-seminar-with-francisco-rowe/
LOCATION:ITU\, 3F07\, Kaj Munks Vej 11\, Copenhagen\, 2300\, Denmark
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DTSTART;TZID=Europe/Copenhagen:20230222T123000
DTEND;TZID=Europe/Copenhagen:20230222T133000
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SUMMARY:NERDS Seminar with Jonas Juul
DESCRIPTION:On Wednesday Feb 22\, Jonas Juul (DTU) will present his talk “Harder\, better\, faster\, stronger cascades – or simply larger?” on the dissemination of online content. \nAbstract:\nDo some types of online content spread faster or further than others? In recent years\, many studies have sought answers to such questions by comparing statistical properties of network paths taken by different kinds of content diffusing online. Here we demonstrate the importance of controlling for correlations in the statistical properties being compared. In particular\, we show that previously reported structural differences between diffusion paths of false and true news on Twitter disappear when comparing only cascades of the same size; differences between diffusion paths of images\, videos\, news\, and petitions persist. Paired with a theoretical analysis of diffusion processes\, our results suggest that in order to limit the spread of false news it is enough to focus on reducing the mean “infectiousness” of the information. Joint work with Johan Ugander (Stanford University)
URL:https://nerds.itu.dk/event/nerds-seminar-with-jonas-juul/
LOCATION:ITU\, 3F07\, Kaj Munks Vej 11\, Copenhagen\, 2300\, Denmark
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