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BEGIN:VEVENT
DTSTART;VALUE=DATE:20220526
DTEND;VALUE=DATE:20220528
DTSTAMP:20260426T023648
CREATED:20220525T103409Z
LAST-MODIFIED:20220525T103409Z
UID:1073-1653523200-1653695999@nerds.itu.dk
SUMMARY:Roberta giving a keynote at INAS
DESCRIPTION:Roberta gives a keynote talk entitled Quantifying the biases of scientific success at the 14th annual  International Conference of Analytical Sociology 
URL:https://nerds.itu.dk/event/roberta-giving-a-keynote-at-inas/
LOCATION:eui florence\, Italy
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220518T160000
DTEND;TZID=Europe/Copenhagen:20220518T170000
DTSTAMP:20260426T023648
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:20220419T170000
DTEND;TZID=Europe/Copenhagen:20220419T182000
DTSTAMP:20260426T023648
CREATED:20220419T130930Z
LAST-MODIFIED:20220419T130930Z
UID:1049-1650387600-1650392400@nerds.itu.dk
SUMMARY:Roberta talking about Complex Systems for Mondadori Scuola (in Italian)
DESCRIPTION:The talk will be streamed realtime here:  \n \nDetails of the event:  \nhttps://www.mondadorieducation.it/formazione-e-aggiornamento/appuntamenti/la-fisica-dei-sistemi-complessi-il-tutto-e-piu-della-somma-delle-parti/
URL:https://nerds.itu.dk/event/roberta-talking-about-complex-systems-for-mondadori-scuola-in-italian/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220401T100000
DTEND;TZID=Europe/Copenhagen:20220401T110000
DTSTAMP:20260426T023648
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:20220323T123000
DTEND;TZID=Europe/Copenhagen:20220323T133000
DTSTAMP:20260426T023648
CREATED:20220310T131622Z
LAST-MODIFIED:20220310T131622Z
UID:962-1648038600-1648042200@nerds.itu.dk
SUMMARY:NERDS Seminar: Giulia Reggiani
DESCRIPTION:Understanding bikeability of urban networks\nGiulia Reggiani\, Delft University of Technology\n\n\nAbout the author:\nGiulia Reggiani is ending her PhD in the department of Transport and Planning\, Delft University of Technology. Her research in the last 4 years focused on structural properties of bicycle networks worldwide and on data driven methods for assessing bikeability. Her current interests lie in the broad domains of smart mobility\, data analysis\, and sustainability. \nAbout the presentation:\nHaving a bicycle network that is fully separated from vehicular traffic is not realistic even for top-performing cities. Thus\, cycling in most countries entails switching between streets with different length\, safety\, and comfort levels. As a consequence\, the quality of bicycle networks should not be evaluated based on one but multiple factors and by considering the different preferences of the users between the factors.In this presentation I will define and analyse different types of bicycle networks and present findings on bicycle infrastructure development across 47 cities. Then\, I present a multi-objective methodology to assess bikeability per origin-destination (OD) pair and for the entire network\, useful for evaluation and planning of bicycle networks. I do so by introducing the concept of “bikeability curves” which allows to assess how bikeable a network is for for its heterogeneity of users. This methodology is showcased on two cities with different bike cultures: Amsterdam and Melbourne. \n\n 
URL:https://nerds.itu.dk/event/nerds-seminar-giulia-reggiani/
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20220311T093000
DTEND;TZID=Europe/Copenhagen:20220311T100000
DTSTAMP:20260426T023648
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:20220302T123000
DTEND;TZID=Europe/Copenhagen:20220302T133000
DTSTAMP:20260426T023648
CREATED:20220310T122428Z
LAST-MODIFIED:20220310T122428Z
UID:952-1646224200-1646227800@nerds.itu.dk
SUMMARY:NERDS Seminar: Tom Brughmans
DESCRIPTION:Tom Brughmans\, Aarhus University: Archaeological Network Research\, illustrated through a study on visual signalling networks of Medieval strongholds in Garhwal Himalaya\, India.  \nThis presentation provides a brief overview of network research in archaeology. What are the past phenomena typically studied using network methods in archaeology\, and what empirical datasets tend to be represented as network data? When were these approaches adopted and how did the popularity in their application change over time? \nIt will illustrate some aspects if this field through a recent study of network Medieval strongholds in the Himalayas (co-authored with Nagendra Singh Rawat and Vinod Nautiyal; Rawat et al. 2021). Hundreds of strongholds are dotted throughout Garhwal Himalaya\, Uttarakhand\, India\, occupying elevated positions on ridges and mountain tops in the Central Himalayan region. We show that new survey data allows for more complex theories about the fortification phenomenon in Garhwal Himalaya to be addressed for the first time\, and we focus in particular on theories concerning visual signalling: the use of fire\, smoke or light for communicating between Medieval strongholds in this Himalayan region. Do sets of strongholds form communities of small local-scale communication networks and can these be identified as small administrative units or independent chiefdoms? Can an integrated visual signalling network have existed to allow for efficient communication throughout the entirety of Garhwal Himalaya? \n\nRelevant references \nRawat\, N. S.\, Brughmans\, T.\, Nautiyal\, V.\, & Chauniyal\, D. D. (2021). Networked medieval strongholds in Garhwal Himalaya\, India. Antiquity\, 95(381)\, 753–772. https://doi.org/10.15184/aqy.2021.4 \n\nBrughmans\, T.\, & Brandes\, U. (2017). Visibility network patterns and methods for studying visual relational phenomena in archaeology. Frontiers in Digital Humanities: Digital Archaeology\, 4(17). doi:10.3389/fdigh.2017.00017 \n  \nBio\nTom Brughmans is an associate professor at Aarhus University’s Centre for Urban Network Evolutions (UrbNet) and Classical Archaeology. His research interests include the study of Roman economic and urban phenomena\, past social networks\, and visual signalling systems. He performs much of his work by applying computational methods such as network science\, agent-based simulation and geographical information systems. His research projects MERCURY and SIMREC developed educational resources and case studies to make simulation studies of the Roman economy more common (Leverhulme Early Career Fellowship and Marie-Curie Individual Fellowship). His ongoing project MINERVA aims to develop a highly detailed network model of the Roman road system\, and perform simulation experiments to explore the centuries-long distribution patterns revealed by Roman tableware and amphora data. Tom’s research blog houses resources for archaeological network research.
URL:https://nerds.itu.dk/event/nerds-seminar-tom-brughmans/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20211028T090000
DTEND;TZID=Europe/Copenhagen:20211028T100000
DTSTAMP:20260426T023648
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:20211027T110000
DTEND;TZID=Europe/Copenhagen:20211027T120000
DTSTAMP:20260426T023648
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:20211015T110000
DTEND;TZID=Europe/Copenhagen:20211015T111500
DTSTAMP:20260426T023648
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:20211015T100000
DTEND;TZID=Europe/Copenhagen:20211015T101500
DTSTAMP:20260426T023648
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:20211014T153000
DTEND;TZID=Europe/Copenhagen:20211014T154500
DTSTAMP:20260426T023648
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:20210922T150000
DTEND;TZID=Europe/Copenhagen:20210922T160000
DTSTAMP:20260426T023648
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:20210922T123000
DTEND;TZID=Europe/Copenhagen:20210922T133000
DTSTAMP:20260426T023648
CREATED:20210922T092620Z
LAST-MODIFIED:20210922T092620Z
UID:726-1632313800-1632317400@nerds.itu.dk
SUMMARY:NERDS Seminar with Helge Pfeiffer
DESCRIPTION:The NERDS seminar continues Wednesday (22/09/2021) with an exciting talk by Helge Pfeiffer\, Assistant Professor at ITU\, titled: “Everything is Connected – Leveraging Graphs in Software Engineering Research”. Please join us from 12:30-13:30 in person at EHK-2F12 (or via Zoom – regular link – for virtual attendance). The presentation abstract and presenter’s bio are below. I hope you can all make it! \nAbstract\nIn my talk\, I will present an overview over my students’ and my recent work on various aspects of software engineering\, e.g.\, identification of critical projects in software ecosystems\, license compatibility\, or software reuse. In all of which\, we leverage graph representations of software artefacts.\nI will briefly outline current and future work and sketch challenges ranging from data availability to efficient graph representation\, computation\, and visualisation methods and tools.\nWith the latter\, I would like to gather your feedback\, experiences\, and would like to learn from you\, since you are the network experts at ITU and I am more a “standard software engineer that remembers som graph theory and likes graphs in general” :).\nAlso\, I would like to identify areas of potential mutual interest on possible future collaborations. \nBio\nHelge Pfeiffer works an assistant professor at the IT University of Copenhagen in the Research Center for Government IT. His research interests are in the areas of software engineering\, software quality\, software quality metrics\, and technical debt. Before joining the Research Center for Government IT\, he was working as software engineer for the Danish Meteorological Institute and as adjunkt at CPH Business Academy. In the former he was responsible for development and maintenance of 24/7 remote sensing applications and in the latter\, he was teaching all aspects of software engineering.
URL:https://nerds.itu.dk/event/nerds-seminar-with-helge-pfeiffer/
LOCATION:2F12\, Kaj Munks Vej 11\, Copenhagen\, 2300\, Denmark
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210901T160000
DTEND;TZID=Europe/Copenhagen:20210901T180000
DTSTAMP:20260426T023648
CREATED:20210824T123456Z
LAST-MODIFIED:20210824T123456Z
UID:675-1630512000-1630519200@nerds.itu.dk
SUMMARY:ITU KSD/KCS Research Project Market
DESCRIPTION:Project Market for Research Projects for K-CS and K-SD students at ITU
URL:https://nerds.itu.dk/event/itu-ksd-kcs-research-project-market/
LOCATION:Aud 1\, Rued Langgaards Vej 7\, Copenhagen\, 2300\, Denmark
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210303T123000
DTEND;TZID=Europe/Copenhagen:20210303T133000
DTSTAMP:20260426T023648
CREATED:20210303T101755Z
LAST-MODIFIED:20210303T101806Z
UID:544-1614774600-1614778200@nerds.itu.dk
SUMMARY:NERDS Seminar: Luca Aiello
DESCRIPTION:Luca Aiello\, ITU (NERDS): Towards Health Surveillance with Social Media \n \nIn today’s heavily interconnected world\, health crises develop rapidly and spread afar. Health crises burden not only people’s biological health but also their psychological and social spheres. By monitoring the population’s behavior and health conditions\, public health bodies can plan prevention campaigns\, promptly deploy targeted interventions\, and adapt to people’s responses. We contributed to this stream of research by developing a Deep Learning tool for Natural Language Processing that extracts mentions of virtually any medical condition from unstructured social media text. We applied the tool to Reddit and Twitter posts\, analyzed the clusters of the two resulting co-occurrence networks of conditions\, and discovered that they correspond to well-defined categories of medical conditions. This resulted in the creation of a taxonomy of medical conditions automatically derived from online discussions. We validated the structure of our taxonomy against the official International Statistical Classification of Diseases and Related Health Problems (ICD-11)\, finding matches of our clusters with 20 official categories\, out of 22. Based on the mentions of our taxonomy’s sub-categories on Reddit posts geo-referenced in the U.S.\, we were then able to compute disease-specific health scores which correlate with officially reported prevalences of 18 conditions.
URL:https://nerds.itu.dk/event/nerds-seminar-luca-aiello/
LOCATION:Zoom NERDS
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210211T150000
DTEND;TZID=Europe/Copenhagen:20210211T170000
DTSTAMP:20260426T023648
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:20210129T150000
DTEND;TZID=Europe/Copenhagen:20210129T160000
DTSTAMP:20260426T023648
CREATED:20210130T174150Z
LAST-MODIFIED:20210130T174256Z
UID:463-1611932400-1611936000@nerds.itu.dk
SUMMARY:Roberta @ Niels Bohr Institute
DESCRIPTION:Quantifying the dynamics of impact in science and art (Remote Colloquium)
URL:https://nerds.itu.dk/event/roberta-niels-bohr-institute/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210112T144500
DTEND;TZID=Europe/Copenhagen:20210112T161500
DTSTAMP:20260426T023648
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=Asia/Manila:20201126T180000
DTEND;TZID=Asia/Manila:20201126T193000
DTSTAMP:20260426T023648
CREATED:20210112T194216Z
LAST-MODIFIED:20210112T194216Z
UID:435-1606413600-1606419000@nerds.itu.dk
SUMMARY:Roberta @ The Asian Institute of Management
DESCRIPTION:
URL:https://nerds.itu.dk/event/roberta-the-asian-institute-of-management/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20201030T121500
DTEND;TZID=Europe/Copenhagen:20201030T131500
DTSTAMP:20260426T023648
CREATED:20201028T161709Z
LAST-MODIFIED:20201028T161709Z
UID:377-1604060100-1604063700@nerds.itu.dk
SUMMARY:Invited talk Maksim Kitsak
DESCRIPTION:Maksim Kitsak (Delft University of Technology)\nGeometric Representations of Complementarity-Driven Networks\nAbstract:\n \nComplementarity-driven networks are routinely embedded into latent metric spaces with the purpose of data analysis. We argue that these traditional geometric representations\, where connected nodes are embedded close to each other in the latent space\, are not applicable to complementarity-driven networks due to the contradiction between the triangle inequality in latent metric spaces and the non-transitivity of complementarity principles. We develop a cross-geometric framework for the embedding of complementarity-driven networks and demonstrate that this representation allows for accurate embedding of real complementarity-driven networks.\n \nBio:\n \nDr. Kitsak is an assistant professor in the faculty of Electrical Engineering\, Mathematics and Computer Science at the Delft University of Technology. Dr. Kitsak earned Ph.D. in theoretical physics from Boston University. Dr. Kitsak has held postdoctoral positions at the Center for Applied Internet Data Analysis (CAIDA)\, UC San Diego; and the Center for Complex Network Research (CCNR)\, Northeastern University. His research focuses on the development of theoretical and computational approaches to networked systems\, with diverse applications ranging from systems biology to civil infrastructure. Results of his research have been published in top cross-disciplinary journals\, such as Nature\, Nature Physics\, Science\, and Science Advances\, and have received broad media coverage. 
URL:https://nerds.itu.dk/event/invited-talk-maksim-kitsak/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20200611T130000
DTEND;TZID=Europe/Copenhagen:20200611T140000
DTSTAMP:20260426T023648
CREATED:20200602T074503Z
LAST-MODIFIED:20200602T074503Z
UID:289-1591880400-1591884000@nerds.itu.dk
SUMMARY:PhD Defense Obaida Hanteer
DESCRIPTION:Thesis: “A Practical and Critical Look at the Problem of Community Discovery in Multi-layer Networks” \nExamination Committee:\nAssociate Professor Barbara Plank\, IT University of Copenhagen\, Denmark (Chair)\nProfessor Vito Latora\, University of London\, England\nDr. Luca Aiello\, Nokia Bell Labs\, England\nSupervisor:\nAssociate Professor Luca Rossi\, IT University of Copenhagen\, Denmark\nCo-supervisor:\nProfessor Irina Shklovski\, University of Copenhagen\, Denmark \nPre-registration:\nFor participation you must register here no later than 9 June 2020 at 3 PM. Upon registration\, you will receive an invitation with a link to join the online defence no later than the workday before the defence. 
URL:https://nerds.itu.dk/event/phd-defense-obaida-hanteer/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20200329T190000
DTEND;TZID=Europe/Copenhagen:20200329T210000
DTSTAMP:20260426T023648
CREATED:20200503T155947Z
LAST-MODIFIED:20200503T160011Z
UID:286-1585508400-1585515600@nerds.itu.dk
SUMMARY:Roberta @ SSC Catania
DESCRIPTION:La matematica dei contagi
URL:https://nerds.itu.dk/event/roberta-ssc-catania/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20200211T150000
DTEND;TZID=Europe/Copenhagen:20200211T170000
DTSTAMP:20260426T023648
CREATED:20200213T103341Z
LAST-MODIFIED:20200213T103409Z
UID:276-1581433200-1581440400@nerds.itu.dk
SUMMARY:Roberta @ University of Barcelona
DESCRIPTION:Keynote: Quantifying the biases of scientific success \nInternational Day of Women and Girls in Science\nDones en la recerca scientifica
URL:https://nerds.itu.dk/event/roberta-university-of-barcelona/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20200124T120000
DTEND;TZID=Europe/Copenhagen:20200124T130000
DTSTAMP:20260426T023648
CREATED:20200122T090151Z
LAST-MODIFIED:20200122T090151Z
UID:270-1579867200-1579870800@nerds.itu.dk
SUMMARY:Lunch Seminar: Tiago Oliveira Cunha
DESCRIPTION:The first and newest postdoc of NERDS\, Tiago Oliveira Cunha\, will introduce and discuss his work in a lunch seminar on Friday\, Jan 24th\, 12:15-13:00 in the 4E wing. \nAre All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities \nThe proliferation of online communities has created exciting opportunities to study the mechanisms that explain group success. While a growing body of research investigates community success through a single measure — typically\, the number of members — we argue that there are multiple ways of measuring success. Here\, we present a systematic study to understand the relations between these success definitions and test how well they can be predicted based on community properties and behaviors from the earliest period of a community’s lifetime. Surprisingly\, we find that the measures do not exhibit very high correlations\, suggesting that they capture different types of success. Additionally\, we find that different success measures are predicted by different attributes of online communities\, suggesting that success can be achieved through different behaviors. Our work sheds light on the basic understanding of what success represents in online communities and what predicts it. This work was accepted as a full paper at The Web Conference 2019.
URL:https://nerds.itu.dk/event/lunch-seminar-tiago-oliveira-cunha/
LOCATION:4E Wing
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191212
DTEND;VALUE=DATE:20191214
DTSTAMP:20260426T023648
CREATED:20190918T085958Z
LAST-MODIFIED:20191003T115040Z
UID:206-1576108800-1576281599@nerds.itu.dk
SUMMARY:Roberta @ Leiden University
DESCRIPTION:Roberta will be at Leiden University\, visiting and giving talks at CWTS
URL:https://nerds.itu.dk/event/leiden-university/
LOCATION:CWTS\, Leiden University\, Leiden\, Netherlands
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191205T120000
DTEND;TZID=Europe/Copenhagen:20191205T130000
DTSTAMP:20260426T023648
CREATED:20191128T093030Z
LAST-MODIFIED:20191128T093120Z
UID:257-1575547200-1575550800@nerds.itu.dk
SUMMARY:Invited Talk: Matteo Magnani\, Multilayer networks meet databases: from property graphs to online information networks
DESCRIPTION:Abstract:  \nThe analysis of complex online information requires the availability of rich data representation models and data analysis algorithms\, for example multilayer networks and multilayer network clustering methods. At the same time\, data analysis processes often require the ability to store raw data not yet prepared to perform a specific type of analysis\, the possibility to enforce constraints guaranteeing some degree of data quality\, and the capability to efficiently manipulate (or query) the raw data. This is for example important when performing interactive and visual data analysis\, where several data dimensions\, data subsets and aggregations have to be computed dynamically to explore different views over the data. In this work I present an extension of the multilayer network model providing database functionality on top of the idea of using the concept of layer to unify several types of graph-based models. This extension is based on the concepts of attributed vertex cube and attributed edge cube. I will conclude the presentation showing how to express a process to identify online conversations about specific topics in social media as a combination of cubes and cube operators.  \n\n\n \n\n\nBio: \nMatteo Magnani is an associate professor (“docent”) at Uppsala University\, where he coordinates the Uppsala Information Laboratory (http://infolab.it.uu.se) and a new Master’s program in Data Science. Since 2011 he has developed and applied analysis methods for multilayer social networks in the context of national and European projects (FIRB and H2020 funding schemes). His results are described in his book “Multilayer Social Networks”\, Cambridge University Press (2016)\, in several peer-reviewed publications\, and implemented in the R multinet library (https://CRAN.R-project.org/package=multinet). He is also the recipient of a STINT initiation grant with TokyoTech on the topic of clustering temporal networks and of a NOS-HS grant for the establishment of a Nordic network on online disinformation. He has received the title of “Excellent teacher” (2016) and the UTN pedagogical prize (2013).
URL:https://nerds.itu.dk/event/invited-talk-matteo-magnani-multilayer-networks-meet-databases-from-property-graphs-to-online-information-networks/
LOCATION:ITU\, 4A05
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191128T120000
DTEND;TZID=Europe/Copenhagen:20191128T130000
DTSTAMP:20260426T023648
CREATED:20191003T115004Z
LAST-MODIFIED:20191125T130126Z
UID:218-1574942400-1574946000@nerds.itu.dk
SUMMARY:Invited talk Anna Sapienza\, Understanding human behaviors and engagement in mobile app usage
DESCRIPTION:Abstract: \nRecent years have seen an explosive growth in the use of mobile apps on smartphones and tablets. With over 2.7 billion smartphone users across the world checking their phones over 80 times a day\, smartphone data offer a unique opportunity to understand main aspects of human behaviors\, e.g.\, mobility\, sleep patterns\, and mobile app usage. Smartphones can be indeed a hugely productive tool. However\, they interfere more and more with work\, school\, and relationships\, sometimes leading engagement to become real addiction. It is indeed crucial to study how individuals interact with their phone and whether they are engaged and retained in the use of specific mobile apps. This talk will present the preliminary findings on user engagement in mobile apps\, based on the study of an unprecedented dataset\, including mobile app traces of thousands of users in time. I will show how users interact with smartphones over time with the aim of identifying the characteristics of users that are majorly engaged in mobile apps\, the specific apps that are driving this engagement\, and how usage patterns vary over time. \n  \nBio: \nAnna Sapienza is a Postdoctoral Researcher at the Department of Applied Mathematics and Computer Science at DTU. She holds a PhD in Applied Mathematics and her research is focused on modelling human behavior in online social environments\, e.g.\, online social networks\, applications\, and games\, through the analysis of high-dimensional data. She collaborates with the Copenhagen Center of Social Data Science (SODAS)\, where she studies phone usage activity and user engagement. Her research interests stay at the intersection between computational social science\, machine learning\, and network analysis.
URL:https://nerds.itu.dk/event/invited-talk-anna-sapienza/
LOCATION:ITU\, 4A09
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191016T080000
DTEND;TZID=Europe/Copenhagen:20191017T170000
DTSTAMP:20260426T023648
CREATED:20191003T114217Z
LAST-MODIFIED:20191003T114217Z
UID:211-1571212800-1571331600@nerds.itu.dk
SUMMARY:Talk Michael Szell at Funders Forum on Sustainable Cities
DESCRIPTION:
URL:https://nerds.itu.dk/event/talk-michael-szell-at-funders-forum-on-sustainable-cities/
LOCATION:Turin\, Turin\, Italy
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191010T120000
DTEND;TZID=Europe/Copenhagen:20191010T130000
DTSTAMP:20260426T023648
CREATED:20191003T114832Z
LAST-MODIFIED:20191003T114832Z
UID:216-1570708800-1570712400@nerds.itu.dk
SUMMARY:Invited talk Laura Alessandretti
DESCRIPTION:
URL:https://nerds.itu.dk/event/invited-talk-laura-alessandretti/
LOCATION:ITU\, 3A08\, Rued Langgaards Vej 7\, København\, 2300\, Denmark
CATEGORIES:NERDS home
END:VEVENT
END:VCALENDAR