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X-WR-CALDESC:Events for Networks, Data, and Society (NERDS)
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210112T144500
DTEND;TZID=Europe/Copenhagen:20210112T161500
DTSTAMP:20260424T174645
CREATED:20210112T193950Z
LAST-MODIFIED:20210112T193950Z
UID:433-1610462700-1610468100@nerds.itu.dk
SUMMARY:Roberta @ DTU Compute
DESCRIPTION:
URL:https://nerds.itu.dk/event/roberta-dtu-compute/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210211T150000
DTEND;TZID=Europe/Copenhagen:20210211T170000
DTSTAMP:20260424T174645
CREATED:20210212T101948Z
LAST-MODIFIED:20210212T102240Z
UID:467-1613055600-1613062800@nerds.itu.dk
SUMMARY:Roberta @ UniCT for International Day of Women and Girls in Science
DESCRIPTION:(Event in Italian) \nGiovedì 11 febbraio 2021\, con inizio alle ore 15:00\, in occasione dell’International Day of Women and Girls in Science\, il Dipartimento di Fisica e Astronomia “Ettore Majorana”\, in collaborazione con il Centro Siciliano di Fisica Nucleare e Struttura della Materia #CSFNSM\, ospiterà (online) l’incontro con due scienziate per esplorare percorsi di donne nella Fisica.\nOspiti dell’incontro saranno l’astrofisica Dr Simonetta Di Pippo\, direttrice del United Nations Office for Outer Space Affairs #UNOOSA\, e la Dr Roberta Sinatra\, ricercatrice della IT University of Copenhagen\, ex Allieva del DFA e Alumna della Scuola Superiore di Catania.\nInterverranno la Prof.ssa Adriana Di Stefano\, Delegata del Rettore dell’Università degli Studi di Catania #UniCT alle Pari Opportunità e la Prof.ssa Alessia Tricomi\, Delegata del Rettore UniCT alla Terza Missione e Direttrice del #CSFNSM.\nSarà possibile assistere live all’incontro sulla pagina Facebook del #CSFNSM e sul canale YouTube del #DFA al link https://www.youtube.com/watch?v=tNA6K8NNZSI
URL:https://nerds.itu.dk/event/roberta-unict-for-international-day-of-women-and-girls-in-science/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210922T150000
DTEND;TZID=Europe/Copenhagen:20210922T160000
DTSTAMP:20260424T174645
CREATED:20210921T200131Z
LAST-MODIFIED:20210921T200131Z
UID:723-1632322800-1632326400@nerds.itu.dk
SUMMARY:Roberta gives a seminar for Reykjavik University and the Gran Sasso Science
DESCRIPTION:TITLE: \nQuantifying biases in science \n  \nABSTRACT: \nEvery day our life is made easier by efficient measures and algorithms that search and rank scientific information. Yet\, these 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 economic growth. I will present research focusing on quantifying bias in publication data. The overarching goal of this research is to uncover the mathematical bias mechanisms that\, given the same quality\, drive different citation trajectories\, and use them to create fair algorithms.
URL:https://nerds.itu.dk/event/roberta-gives-a-seminar-for-reykjavik-university-and-the-gran-sasso-science/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211014T153000
DTEND;TZID=Europe/Copenhagen:20211014T154500
DTSTAMP:20260424T174645
CREATED:20210824T124116Z
LAST-MODIFIED:20210824T124116Z
UID:682-1634225400-1634226300@nerds.itu.dk
SUMMARY:Talk Bojan Kostic at CRBAM21
DESCRIPTION:Analysing cyclist behavior at signalized intersections using computer vision\nArtificial intelligence\, in particular deep learning and computer vision\, is a promising new tool for automated video analysis in traffic studies. It allows for facilitated extraction of detailed data from video recordings at higher efficiency and lower costs\, improved precision of obtained data\, and reduced errors caused by manual video elaboration. This method has the potential to answer detailed questions on human traffic behavior which were very difficult\, if not impossible\, to answer previously. In this work we use such AI tools to investigate cyclist behavior at signalized intersections. We approach the problem by utilizing state-of-the-art tools for automated video analysis and apply them to detect and track road users in video recordings (cyclists\, vehicles\, and pedestrians) and extract their travelled trajectories. This gives us a fine-grained spatio-temporal data set of cyclist movements in the present of vehicles\, pedestrians\, and traffic lights regulation throughout the day. We perform clustering of the trajectories to identify various patterns of movements from different origins to destinations\, and analyze their desire lines. This data set also allows for an insightful intersection safety analysis through assessing conflicts and surrogate measures of safety. We further investigate the social factor on cyclist behaviour\, such as individual versus group behaviour in obeying the rules. We recorded a busy intersection in Copenhagen\, Denmark for over 12 hours and recovered several thousand cyclist trajectories\, uncovering insights about cyclist behaviour and factors affecting it. These results can be used in better and more efficient planning and operation of intersections with cyclist\, to improve safety by better identifying critical conflict points\, inadequate bicycle infrastructure\, and situations at which regulations are not followed that may cause confusion and risky behaviour.
URL:https://nerds.itu.dk/event/talk-bojan-kostic-at-crbam21/
LOCATION:IDA CONFERENCE\, Kalvebod Brygge 31-33\, Copenhagen\, 1780\, Denmark
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211015T100000
DTEND;TZID=Europe/Copenhagen:20211015T101500
DTSTAMP:20260424T174645
CREATED:20210824T124406Z
LAST-MODIFIED:20210824T124406Z
UID:684-1634292000-1634292900@nerds.itu.dk
SUMMARY:Talk Anastassia Vybornova at CRBAM21
DESCRIPTION:Network algorithms for the identification and classification of gaps in urban bicycle networks based on OSM data\nWhat is the best location to build new bicycle infrastructure in a city? This planning decision can be conceptualized as an optimization problem: the goal is to find the most efficient solution – that is\, the one that has the highest (positive) impact on the bicycle network at least cost. However\, identifying locations that will significantly improve network quality is far from being a straightforward task. The first challenge is to put a number on network quality improvement in order to make different planning decisions comparable; the second is the often cumbersome collection and processing of data required by the chosen approach (e.g. input from large-scale user surveys). \nOur data-driven\, computational approach for the identification of gaps in bicycle networks simultaneously addresses both these challenges. We present an algorithm that identifies and rates (by relevance) gaps in a bicycle network\, based solely on the input of topological features which are readily available as open-source data from OSM (OpenStreetMap). For this purpose\, we define “gaps” as segments (of flexible maximum length) of existing streets which\, if provided with a bicycle facility\, improve the overall quality of the network. We assess the quality of the network based on network connectivity measures from graph theory\, in particular edge betweenness centrality. We furthermore assume that cyclists prefer to use protected bicycle infrastructure and are willing to take a certain detour to maximize the percentage of route spent on bicycle facilities. \nTo showcase the applicability of our approach\, we present the gaps identified by the algorithm in the bicycle network of Copenhagen\, classified and ranked by relevance (quality impact). We compare our results with the city’s current bicycle network development plan (Cykelsti Prioriteringsplan 2017-2025) to assess the validity of our findings. Our work shows how network analysis based on open-source topological data can serve as a powerful and cost-efficient tool for decision-making support in bicycle network planning.
URL:https://nerds.itu.dk/event/talk-anastassia-vybornova-at-crbam21/
LOCATION:IDA CONFERENCE\, Kalvebod Brygge 31-33\, Copenhagen\, 1780\, Denmark
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211015T110000
DTEND;TZID=Europe/Copenhagen:20211015T111500
DTSTAMP:20260424T174645
CREATED:20210824T123904Z
LAST-MODIFIED:20210824T123904Z
UID:679-1634295600-1634296500@nerds.itu.dk
SUMMARY:Talk Michael Szell at CRBAM21
DESCRIPTION:The geometric limits of growing urban bicycle networks\nCity planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However\, common bicycle network planning practices follow piecewise ad hoc approaches which do not take into account the transportation network and its structural complexity as a whole. Here we take a first step in exploring systematically the general geometric limitations in the development of urban bicycle networks. We study the process of growing a graph triangulation between an arbitrary set of points of interest routed on a city’s existing street network. We run different variations of this growth process on 62 diverse cities\, tested against a random null model. We find that growth phases tend to start with decreasing directness and connectedness followed by improvement\, implying fundamental consequences to sustainable urban planning policy: To be successful\, cities must invest into bicycle networks 1) with the right growth strategy\, and 2) boldly\, to overcome short-term deficiencies until a critical mass of bicycle infrastructure has been built up. Further\, we find distinct overlaps of our synthetically grown networks in cities with well-developed existing bicycle networks\, showing that our model is realistic and has the added potential to identify missing links. We grow networks from scratch because most cities on the planet have negligible bicycle infrastructure to start from\, thus making our approach a generally applicable starting point for sustainable urban bicycle network planning with minimal\, readily available data requirements. We release our network growth algorithms as open source\, thus making them arbitrarily extendable with refinements.
URL:https://nerds.itu.dk/event/talk-michael-szell-at-crbam21/
LOCATION:IDA CONFERENCE\, Kalvebod Brygge 31-33\, Copenhagen\, 1780\, Denmark
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211027T110000
DTEND;TZID=Europe/Copenhagen:20211027T120000
DTSTAMP:20260424T174645
CREATED:20210824T132033Z
LAST-MODIFIED:20210824T132033Z
UID:690-1635332400-1635336000@nerds.itu.dk
SUMMARY:Invited Talk Michael Szell at Urban Complex Systems
DESCRIPTION:Making cities better with human-centric urban data science\nMaking our cities better and sustainable is key to solving the climate and urban transport crises. To this end\, urban data science offers new tools to quantify societal problems in cities and to propose human-centric solutions to policy makers. In this talk I outline our recent and ongoing efforts towards that end\, focusing on urban transport and vulnerable road users. I discuss inequalities between transport modes through mobility space and collision threat distributions\, and automated methods based on network science to generate and merge bicycle networks and to identify their gaps\, for different urban development stages. All research comes with concrete policy recommendations that significantly increase urban livability\, public health\, and decarbonization.
URL:https://nerds.itu.dk/event/invited-talk-michael-szell-at-urban-complex-systems/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211028T090000
DTEND;TZID=Europe/Copenhagen:20211028T100000
DTSTAMP:20260424T174645
CREATED:20210824T131750Z
LAST-MODIFIED:20210824T131750Z
UID:688-1635411600-1635415200@nerds.itu.dk
SUMMARY:Talk Michael Szell at UrbanSys21
DESCRIPTION:Growing cohesive urban bicycle networks\nCity planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However\, common bicycle network planning practices follow piecewise ad hoc approaches which do not take into account the transportation network and its structural complexity as a whole. Here we take a first step in exploring systematically the general geometric limitations in the development of urban bicycle networks\, using tools from network science. We study the process of growing a graph triangulation between an arbitrary set of points of interest routed on a city’s existing street network. We run different variations of this growth process on 62 diverse cities\, tested against a random null model. We find that growth phases tend to start with decreasing directness and connectedness followed by improvement\, implying fundamental consequences to sustainable urban planning policy: To be successful\, cities must invest into bicycle networks 1) with the right growth strategy\, and 2) persistently\, to overcome short-term deficiencies until a critical mass of bicycle infrastructure has been built up. Further\, we find distinct overlaps of our synthetically grown networks in cities with well-developed existing bicycle networks\, showing that our model is realistic and has the added potential to identify missing links. We grow networks from scratch because most cities on the planet have negligible bicycle infrastructure to start from\, thus making our approach a generally applicable starting point for sustainable urban bicycle network planning with minimal\, readily available data requirements. We release our network growth algorithms as open source\, thus making them arbitrarily extendable with refinements.
URL:https://nerds.itu.dk/event/talk-michael-szell-at-urbansys21/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220311T093000
DTEND;TZID=Europe/Copenhagen:20220311T100000
DTSTAMP:20260424T174645
CREATED:20220306T192322Z
LAST-MODIFIED:20220306T192322Z
UID:945-1646991000-1646992800@nerds.itu.dk
SUMMARY:Invited Talk Michael Szell at PhyMo22
DESCRIPTION:Towards a human-centric urban data science\nMaking our cities better and sustainable is key to solving the climate and urban transport crises. To this end\, urban data science offers new tools to quantify societal problems in cities and to propose human-centric solutions to policy makers. In this talk I outline our recent and ongoing efforts towards that end\, focusing on urban transport and vulnerable road users. I discuss inequalities between transport modes through mobility space and collision threat distributions\, and automated methods based on network science to generate and merge bicycle networks and to identify their gaps\, for different urban development stages. All research comes with concrete policy recommendations that significantly increase urban livability\, public health\, and decarbonization.
URL:https://nerds.itu.dk/event/invited-talk-michael-szell-at-phymo22/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220401T100000
DTEND;TZID=Europe/Copenhagen:20220401T110000
DTSTAMP:20260424T174645
CREATED:20220328T130817Z
LAST-MODIFIED:20220328T184228Z
UID:988-1648807200-1648810800@nerds.itu.dk
SUMMARY:Talk: Luca Maria Aiello at ANET Lab Seminar Series
DESCRIPTION:Abstract \nSocial 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 from conversational text but mostly focusing on sentiment or topic mining\, techniques that fall short on either conciseness or exhaustiveness. We propose a theoretical model of 10 dimensions (colors) of social relationships that is backed by decades of research in social sciences and that captures most of the common relationship types. We trained a deep-learning model to classify text along these ten dimensions\, and we reached performance up to 0.98 AUC. By applying this tool on large-scale conversational data\, we show that the combination of the predicted dimensions suggests both the types of relationships people entertain and the types of real-world communities they shape. \nBio \nLuca Aiello is an Associate Professor at the IT University of Copenhagen. Previously\, he worked for 10 years as a Research Scientist in the industry: at Yahoo Labs in Barcelona\, and at Bell Labs in Cambridge (UK). He conducts research in Computational Social Science\, a field of studies that uses Social Science theories to inform solutions to Data Science problems. His work focuses on the analysis of conversations and collective behavior through the lens of machine-learning algorithms applied to large scale data. He was recently awarded the Carlsberg Young Investigator Fellowship to study how to build technologies to support collective cooperation in the face of societal dilemmas. \nSign up at: http://anet.krtk.mta.hu/seminars/
URL:https://nerds.itu.dk/event/talk-luca-maria-aiello-at-anet-lab-seminar-series/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220518T160000
DTEND;TZID=Europe/Copenhagen:20220518T170000
DTSTAMP:20260424T174645
CREATED:20220615T122134Z
LAST-MODIFIED:20220615T122134Z
UID:1156-1652889600-1652893200@nerds.itu.dk
SUMMARY:Invited Talk Anastassia Vybornova at Citizens Collective (CUSP\, TU Delft)
DESCRIPTION:Will Cycling Save Our Cities? A Story of Love and Panic\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\nThe climate crisis is putting our future in danger. Cycling is often described as the go-to “green bullet” to make transportation in cities more sustainable and to reduce our exacerbated fossil fuel consumption. But can we still win the global war on cars\, or are our beloved cities (and with them\, their inhabitants) doomed anyways? I will share a personal account of my journey into cycling research\, which is a story of reciprocated love and well-founded panic. I invite you to join me on a bumpy ride to rethink urban mobility: Let’s pet the elephants in the room – and share our visions of being on the road.
URL:https://nerds.itu.dk/event/invited-talk-anastassia-vybornova-at-citizens-collective-cusp-tu-delft/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220615T112000
DTEND;TZID=Europe/Copenhagen:20220615T120500
DTSTAMP:20260424T174645
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220919
DTEND;VALUE=DATE:20220920
DTSTAMP:20260424T174645
CREATED:20221005T113829Z
LAST-MODIFIED:20221005T113829Z
UID:1338-1663545600-1663631999@nerds.itu.dk
SUMMARY:Luca Aiello lecturing at Summer School Ghent Summer of DANS 2022
DESCRIPTION:Introduction to Data Science
URL:https://nerds.itu.dk/event/luca-aiello-lecturing-at-summer-school-ghent-summer-of-dans-2022/
LOCATION:Ghent University\, Tweekerkenstraat 2\, Ghent\, Belgium
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220922T160000
DTEND;TZID=Europe/Copenhagen:20220922T170000
DTSTAMP:20260424T174645
CREATED:20220825T112309Z
LAST-MODIFIED:20220825T112513Z
UID:1244-1663862400-1663866000@nerds.itu.dk
SUMMARY:Invited talk Ane\, Anastassia\, Michael at University of Liverpool\, Geographic Data Science Lab
DESCRIPTION:Note 3PM BST is 4PM Copenhagen time.
URL:https://nerds.itu.dk/event/invited-talk-ane-anastassia-michael-at-university-of-liverpool-geographic-data-science-lab/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221006T103000
DTEND;TZID=Europe/Copenhagen:20221006T120000
DTSTAMP:20260424T174645
CREATED:20221005T093637Z
LAST-MODIFIED:20221005T093637Z
UID:1321-1665052200-1665057600@nerds.itu.dk
SUMMARY:Ane Rahbek Vierø at CRBAM 2022
DESCRIPTION:Reproducible Quality Assessment of OSM Data for Cycling\nApplications
URL:https://nerds.itu.dk/event/ane-rahbek-viero-at-crbam-2022/
LOCATION:University of Amsterdam\, Oudezijds Achterburgwal 237\, Amsterdam\, Netherlands
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221006T130000
DTEND;TZID=Europe/Copenhagen:20221006T143000
DTSTAMP:20260424T174645
CREATED:20221005T094014Z
LAST-MODIFIED:20221005T094014Z
UID:1326-1665061200-1665066600@nerds.itu.dk
SUMMARY:Anastassia Vybornova at CRBAM 2022
DESCRIPTION:The Cycle Node Network Planner: A data-driven decision support tool
URL:https://nerds.itu.dk/event/anastassia-vybornova-at-crbam-2022/
LOCATION:University of Amsterdam\, Oudezijds Achterburgwal 237\, Amsterdam\, Netherlands
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221011T090000
DTEND;TZID=Europe/Copenhagen:20221011T100000
DTSTAMP:20260424T174645
CREATED:20221005T113610Z
LAST-MODIFIED:20221005T113610Z
UID:1335-1665478800-1665482400@nerds.itu.dk
SUMMARY:Keynote by Luca Aiello at International Conference on Discovery Science 2022
DESCRIPTION:Coloring Social Relationships\nSocial 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 from conversational text but mostly focusing on sentiment or topic mining\, techniques that fall short on either conciseness or exhaustiveness. We propose a theoretical model of 10 dimensions (colors) of social relationships that is backed by decades of research in social sciences and that captures most of the common relationship types. We trained a deep-learning model to classify text along these ten dimensions\, and we reached performance up to 0.98 AUC. By applying this tool on large-scale conversational data\, we show that the combination of the predicted dimensions suggests both the types of relationships people entertain and the types of real-world communities they shape.  \nWe believe that the ability of capturing interpretable social dimensions from language using AI will help closing the gap between the oversimplified social constructs that existing social network analysis methods can measure and the multifaceted understanding of social dynamics that has been developed by decades of theoretical research.
URL:https://nerds.itu.dk/event/keynote-by-luca-aiello-at-international-conference-on-discovery-science-2022/
LOCATION:Campus St Priest\, 161 Rue Ada\, 34095\, Montpellier\, France
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221018T170000
DTEND;TZID=Europe/Copenhagen:20221018T183000
DTSTAMP:20260424T174645
CREATED:20221005T092926Z
LAST-MODIFIED:20221005T132611Z
UID:1318-1666112400-1666117800@nerds.itu.dk
SUMMARY:Roberta Sinatra at Women in Network Science Seminar
DESCRIPTION:Pathways in Network Science – A seminar with Roberta Sinatra
URL:https://nerds.itu.dk/event/roberta-at-women-in-network-science-seminar/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221019T170000
DTEND;TZID=Europe/Copenhagen:20221019T180000
DTSTAMP:20260424T174645
CREATED:20221018T124658Z
LAST-MODIFIED:20221018T124730Z
UID:1376-1666198800-1666202400@nerds.itu.dk
SUMMARY:Michele Coscia at DINS Seminar Series
DESCRIPTION:Quantifying Political Polarization on a Network Using Generalized Euclidean Distance
URL:https://nerds.itu.dk/event/michele-coscia-at-dins-seminar-series/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221022T100000
DTEND;TZID=Europe/Copenhagen:20221022T110000
DTSTAMP:20260424T174645
CREATED:20221021T073740Z
LAST-MODIFIED:20221021T073740Z
UID:1385-1666432800-1666436400@nerds.itu.dk
SUMMARY:Roberta Sinatra at Danish Data Science Academy / Pioneer Centre for AI
DESCRIPTION:Keynote to: Science of Science for Data Scientists
URL:https://nerds.itu.dk/event/roberta-sinatra-at-danish-data-science-academy-pioneer-centre-for-ai/
LOCATION:Frederiksdal Sinatur Hotel\, Frederiksdalsvej 360\, Frederiksdal\, Denmark
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221025T143000
DTEND;TZID=Europe/Copenhagen:20221025T151500
DTSTAMP:20260424T174645
CREATED:20221014T132627Z
LAST-MODIFIED:20221014T132627Z
UID:1370-1666708200-1666710900@nerds.itu.dk
SUMMARY:Luca Rossi chairing and moderating NLP\, Fake News and Social Media @ Digital Tech Summit
DESCRIPTION:Program:\nWelcoming talk: The many faces of Fake News\, by session chair\, Luca Rossi \nNLP\, Fake News and Social Media\nScientific Talk: NLP and social media\, Marina Charquero Ballestar\, Postdoc\, AU \nScientific Talk: Editorial media and social media platforms: it’s complicated\, Aske Kammer\, RUC \nBusiness Talk: Daniel Hanse\, tjekdet.dk \nBusiness Talk: Complexities of tacking the challenge of misinformation at scale: tools and possibilities for researchers\, Nicole Lyon\, Meta \nDebate:\nWill be announced \nChair: Luca Rossi\, Associate Professor\, ITU \nModerator: Luca Rossi\, Associate Professor\, ITU \nSession coordinator: Nikolaj Oppermann\, Network\, Innovation & Collaboration manager\, ITU
URL:https://nerds.itu.dk/event/luca-rossi-chairing-and-moderating-nlp-fake-news-and-social-media-digital-tech-summit/
LOCATION:Bella Center\, Center Blvd. 5\, København\, 2300\, Denmark
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221102T160000
DTEND;TZID=Europe/Copenhagen:20221102T170000
DTSTAMP:20260424T174645
CREATED:20221021T170422Z
LAST-MODIFIED:20221021T170422Z
UID:1388-1667404800-1667408400@nerds.itu.dk
SUMMARY:Roberta Sinatra at Aarhus University\, The Science Studies Colloquium
DESCRIPTION:Quantifying biases and inequalities in science\nEvery day our life is made easier by efficient algorithms that search and rank scientific information. Yet\, these algorithms have an issue: they are trained on citation data that is ingrained with human biases. Therefore the output is inherently biased too\, creating inequalities\, raising concerns of discrimination\, and harming economic 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.
URL:https://nerds.itu.dk/event/roberta-sinatra-at-aarhus-university-the-science-studies-colloquium/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221107T133000
DTEND;TZID=Europe/Copenhagen:20221107T163000
DTSTAMP:20260424T174645
CREATED:20221005T094527Z
LAST-MODIFIED:20221005T113047Z
UID:1330-1667827800-1667838600@nerds.itu.dk
SUMMARY:Michele Coscia holds a tutorial at Complex Networks
DESCRIPTION:Node Vector Distances: Methods and Applications\nMichele is an associate professor at IT University of Copenhagen since 2020. He mainly works on algorithms for the analysis of complex networks\, with methods spanning from Computer Science to physics\, and on applying the extracted knowledge to a variety of problems\, including economic development\, human mobility\, and the analysis of ideological polarization. His background is in Digital Humanities\, connecting new technologies with a classical education. He has a PhD in CS\, obtained in 2012 at the University of Pisa. In the past\, he visited Barabasi’s CCNR at Northeastern University\, and worked with Ricardo Hausmann for 6 years at the Center for International Development\, Harvard University. \n– \nHow quickly is a disease spreading through a social network? How diversified is a country in a network of related exported products? How polarized is the online discourse on social media? These seemingly unrelated questions can be answered with a common toolbox: they all require to compare different types of node attributes. In this workshop\, you will learn how to apply Node Vector Distance techniques: given two node attributes — represented as vectors — how far the two are on a network structure? Are they correlated when we take into account not only the value of a node itself\, but also the values of its neighbors? Or simply: how spread out in the network is an attribute? The workshop will make you familiar with ways to translate concepts such as Euclidean distance\, Pearson correlation\, and variance\, when the vectors do not live in an Euclidean space\, but on the complex landscape that is the topology of a network.
URL:https://nerds.itu.dk/event/michele-coscia-holds-a-tutorial-at-complex-networks/
LOCATION:University of Palermo\, Viale delle Scienze Building 19\, Palermo\, Italy
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221108T114500
DTEND;TZID=Europe/Copenhagen:20221108T120000
DTSTAMP:20260424T174645
CREATED:20221005T113313Z
LAST-MODIFIED:20221005T113313Z
UID:1333-1667907900-1667908800@nerds.itu.dk
SUMMARY:Marilena Hohmann at Complex Networks 2022
DESCRIPTION:Estimating Affective Polarization on a Social Network\nwith Michele Coscia
URL:https://nerds.itu.dk/event/marilena-hohmann-at-complex-networks-2022/
LOCATION:University of Palermo\, Viale delle Scienze Building 19\, Palermo\, Italy
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221125T080000
DTEND;TZID=Europe/Copenhagen:20221125T170000
DTSTAMP:20260424T174645
CREATED:20221014T125634Z
LAST-MODIFIED:20221014T125634Z
UID:1355-1669363200-1669395600@nerds.itu.dk
SUMMARY:Roberta Sinatra at ANETLab Seminar
DESCRIPTION:Details TBA
URL:https://nerds.itu.dk/event/roberta-sinatra-at-anetlab-seminar/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221208T193000
DTEND;TZID=Europe/Copenhagen:20221208T210000
DTSTAMP:20260424T174645
CREATED:20221126T114752Z
LAST-MODIFIED:20221126T114752Z
UID:1431-1670527800-1670533200@nerds.itu.dk
SUMMARY:Roberta Sinatra at Northwestern University Panel on “Inequalities in Scientific Production”
DESCRIPTION:
URL:https://nerds.itu.dk/event/roberta-sinatra-at-northwestern-university-panel-on-inequalities-in-scientific-production/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20221214T160000
DTEND;TZID=Europe/Copenhagen:20221214T170000
DTSTAMP:20260424T174645
CREATED:20221014T125851Z
LAST-MODIFIED:20221019T133227Z
UID:1359-1671033600-1671037200@nerds.itu.dk
SUMMARY:Michael and Ane at CASA UCL Seminar
DESCRIPTION:Bicycle networks: From data quality assessment to computational analysis\nCycling is marginalized despite being a promising solution towards sustainable transport. In parallel\, cycling data and cycling research are also marginalized\, posing many opportunities for improvement and open questions. Here\, we first present our cycling data quality tool which enables intrinsic and extrinsic assessment and reporting of data quality in cycling infrastructure data sets\, focusing on the structural network perspective. Then\, we explore how such data enable the development of computational methods for automated bicycle network analysis and planning.
URL:https://nerds.itu.dk/event/michael-and-ane-at-casa-ucl-seminar/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230404T150000
DTEND;TZID=Europe/Copenhagen:20230404T160000
DTSTAMP:20260424T174645
CREATED:20230328T084804Z
LAST-MODIFIED:20230328T084804Z
UID:1564-1680620400-1680624000@nerds.itu.dk
SUMMARY:Michael at CSH\, Vienna
DESCRIPTION:Bicycle infrastructure data and networks: Opportunities and limitations\nIn this talk\, we will explore the opportunities and limitations of bicycle infrastructure data\, models and networks. With the increasing popularity of cycling as a mode of transportation\, the need for accurate and reliable data on bicycle infrastructure has become crucial for planners\, engineers\, and policymakers.
URL:https://nerds.itu.dk/event/michael-at-csh-vienna/
LOCATION:csh\, Josefstaedter Strasse 39\, Vienna\, 1800\, Austria
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230414T090000
DTEND;TZID=Europe/Copenhagen:20230414T121500
DTSTAMP:20260424T174645
CREATED:20230226T165754Z
LAST-MODIFIED:20230226T165843Z
UID:1535-1681462800-1681474500@nerds.itu.dk
SUMMARY:CSH Vienna workshop: Sustainable mobility
DESCRIPTION:We are organizing a workhop in Vienna! \nSustainable Mobility: Data\, Networks\, and Complexity\n \nWhy are politicians so reluctant to invest into bicycle infrastructure and pedestrianization given it is the most efficient investment towards sustainable and livable cities? What are the technical and political bottlenecks that keep society in the stranglehold of car dependency\, and what are the implications of sustained delay? Which data are we missing\, how should we grow network infrastructure\, and how to speed up the sluggish political process? The climate crisis demands pressing answers\, which we explore here with state-of-the-art insights in Data/Network/Complexity Science and Urban Planning. \nThis workshop brings together researchers and policymakers from Vienna and Copenhagen who work on understanding the best pathways towards sustainable mobility with focus on cycling\, or who are developing tools/methods supporting that aim. Our speakers will cover: Mobility and infrastructure data quality\, bicycle network planning\, politics & activism\, systemic complexity approaches.
URL:https://nerds.itu.dk/event/csh-vienna-workshop-sustainable-mobility/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230420T183000
DTEND;TZID=Europe/Copenhagen:20230420T200000
DTSTAMP:20260424T174645
CREATED:20230308T161856Z
LAST-MODIFIED:20230425T131348Z
UID:1551-1682015400-1682020800@nerds.itu.dk
SUMMARY:Michael at Eurosolar Austria\, Vienna
DESCRIPTION:Wie man optimale Radweg-Netze plant\nEurosolar Austria
URL:https://nerds.itu.dk/event/michael-at-agenda-21-vienna/
LOCATION:Plutzerbrau\, Schrankgasse 2\, Vienna\, 1070\, Austria
CATEGORIES:NERDS away
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END:VCALENDAR