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X-ORIGINAL-URL:https://nerds.itu.dk
X-WR-CALDESC:Events for Networks, Data, and Society (NERDS)
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20210303T123000
DTEND;TZID=Europe/Copenhagen:20210303T133000
DTSTAMP:20260514T031019
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20200124T120000
DTEND;TZID=Europe/Copenhagen:20200124T130000
DTSTAMP:20260514T031019
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;TZID=Europe/Copenhagen:20191205T120000
DTEND;TZID=Europe/Copenhagen:20191205T130000
DTSTAMP:20260514T031019
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:20260514T031019
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191010T120000
DTEND;TZID=Europe/Copenhagen:20191010T130000
DTSTAMP:20260514T031019
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
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20191003T120000
DTEND;TZID=Europe/Copenhagen:20191003T130000
DTSTAMP:20260514T031019
CREATED:20191003T114646Z
LAST-MODIFIED:20191003T114646Z
UID:214-1570104000-1570107600@nerds.itu.dk
SUMMARY:Invited talk Jonas S. Juul
DESCRIPTION:
URL:https://nerds.itu.dk/event/invited-talk-jonas-s-juul/
CATEGORIES:NERDS home
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20190923T183000
DTEND;TZID=Europe/Copenhagen:20190923T210000
DTSTAMP:20260514T031019
CREATED:20190904T083902Z
LAST-MODIFIED:20190904T083902Z
UID:178-1569263400-1569272400@nerds.itu.dk
SUMMARY:DataBeers Copenhagen
DESCRIPTION:NERDS members Roberta and Michael co-organize the second DataBeers event.
URL:https://nerds.itu.dk/event/databeers-copenhagen/
LOCATION:H15\, Halmtorvet 15\, København\, 1700\, Denmark
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20190912T000000
DTEND;TZID=Europe/Copenhagen:20190912T133000
DTSTAMP:20260514T031019
CREATED:20190903T172253Z
LAST-MODIFIED:20190903T172253Z
UID:172-1568246400-1568295000@nerds.itu.dk
SUMMARY:Invited talk Carlos Gershenson
DESCRIPTION:Prof.  Carlos Gershenson  from IINAS::UNAM will visit ITU on Sep 12th. \nYou’re invited to attend his lunchtime talk “Heterogeneity extends criticality”.
URL:https://nerds.itu.dk/event/invited-talk-carlos-gershenson/
LOCATION:ITU\, 2A08\, Rued Langgaards Vej 7\, Copenhagen\, 2300\, Denmark
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190523T183000
DTEND;TZID=UTC:20190523T210000
DTSTAMP:20260514T031019
CREATED:20190426T162501Z
LAST-MODIFIED:20230921T202157Z
UID:50-1558636200-1558645200@nerds.itu.dk
SUMMARY:Talk Michael Szell at Data Beers Copenhagen
DESCRIPTION:The first edition of Data Beers Copenhagen will feature five talks\, one of them given by NERDS member Michael Szell on “Understanding wasted mobility space with crowdsourced urban data”.
URL:https://nerds.itu.dk/event/talk-michael-szell-at-data-beers-copenhagen/
LOCATION:Byens Lys\, Fabriksområdet 99\, Copenhagen\, 1440
CATEGORIES:NERDS home
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190516T120000
DTEND;TZID=UTC:20190516T140000
DTSTAMP:20260514T031019
CREATED:20190426T155454Z
LAST-MODIFIED:20190430T092445Z
UID:33-1558008000-1558015200@nerds.itu.dk
SUMMARY:Invited talk Dominique Boullier
DESCRIPTION:Prof. Dominique Boullier from EPFL will visit ITU on May 16th. \nYou’re invited to attend his lunchtime talk “Digital Propagations and Memetics as a New Opportunity for Quantification in Social Sciences\, with the Help of Data Science”
URL:https://nerds.itu.dk/event/invited-talk-dominique-boullier/
LOCATION:ITU\, 3A08\, Rued Langgaards Vej 7\, København\, 2300\, Denmark
CATEGORIES:NERDS home
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