BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Networks, Data, and Society (NERDS) - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Networks, Data, and Society (NERDS)
X-ORIGINAL-URL:https://nerds.itu.dk
X-WR-CALDESC:Events for Networks, Data, and Society (NERDS)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Europe/Copenhagen
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230703T093000
DTEND;TZID=America/New_York:20230703T110000
DTSTAMP:20260421T151953
CREATED:20230701T075025Z
LAST-MODIFIED:20230701T075025Z
UID:1624-1688376600-1688382000@nerds.itu.dk
SUMMARY:Roberta at ISSI 2023
DESCRIPTION:Quantifying biases and inequalities in science\nEvery 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 of discrimination\, even harming growth. In this talk\, I focus on recent quantitative efforts in science studies to (1) uncover bias mechanisms in science\, (2) use this knowledge about biases to uncover inequalities in the scientific enterprise\, and (3) create fair metrics and algorithms. \nRoberta Sinatra is Professor in Computational Social Science at the University of Copenhagen (KU)\, and holds visiting positions at IT University of Copenhagen (ITU)\, ISI Foundation (Turin\, Italy) and Complexity Science Hub (Vienna\, Austria). She co-founded the NEtwoRks\, Data\, and Society (NERDS) Research group at ITU\, which she led in 2019-2022\, and is a co-lead of the pioneer centre for AI in Copenhagen. Her research is at the forefront of network science\, data science\, and computational social science. Roberta did her BSc\, MSc and PhD in Physics at the University of Catania\, Italy. Her research has been published in top-tier venues like Nature and Science\, and has been featured in The New York Times\, Forbes\, The Economist\, The Guardian\, The Washington Post\, among other major media outlets. Her research has been awarded the Complex Systems Society Junior prize\, the DPG Young Scientist Award for Socio- and Econophysics\, and a Villum Young Investigator grant. \n 
URL:https://nerds.itu.dk/event/roberta-at-issi-2023/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230712T121500
DTEND;TZID=Europe/Copenhagen:20230712T123000
DTSTAMP:20260421T151953
CREATED:20230609T090652Z
LAST-MODIFIED:20230609T090652Z
UID:1608-1689164100-1689165000@nerds.itu.dk
SUMMARY:Anastassia at NetSci 2023
DESCRIPTION:https://easychair.org/smart-program/NetSci2023/2023-07-12.html#talk:224079 \nLuca Maria Aiello\, Sándor Juhász\, Anastassia Vybornova\, Eszter Bokányi and Michael Szell\nHighways are barriers to urban social connections\nPRESENTER: Anastassia Vybornova\n\nABSTRACT. Geographic distances influence social connections inside cities – even in our digital age [1\,2]. Both the perception of physical distance and the likelihood of forming social ties across locations are influenced by infrastructural elements\, as previous studies showed: public transport increases social connectivity along routes [3]; barriers to physical mobility influence the creation of social connections [4]. To directly investigate the impact of highways on social connections\, we analyse how the spatial configurations of a city’s social and infrastructural networks are correlated. We use a highly granular\, georeferenced social network of mutual follower relationships between Twitter users in the top 50 US metropolitan areas [5]. For each of these cities\, we create a gravity-law inspired configurational null model [6] that reflects the population density and distance distribution of users’ home locations. We then overlay the spatial network of social connections with the network of highways from OpenStreetMap\, and measure the average number of highways crossed by social network ties. We find that the probability of an edge crossing at least one highway is significantly lower for real social connections than for the null model\, and validate these findings by several multivariate regression models. Our results confirm that urban highways\, apart from causing spatial segregation patterns\, also have a directly measurable negative correlation with the density of social connections\, and unveil the importance of infrastructure to the study of increasing inequalities and social network fragmentation in urban areas.
URL:https://nerds.itu.dk/event/anastassia-at-netsci-2023/
CATEGORIES:NERDS away
END:VEVENT
END:VCALENDAR