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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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DTSTART;TZID=Europe/Copenhagen:20230601T154500
DTEND;TZID=Europe/Copenhagen:20230601T163000
DTSTAMP:20260423T005259
CREATED:20230529T150703Z
LAST-MODIFIED:20230529T150703Z
UID:1602-1685634300-1685637000@nerds.itu.dk
SUMMARY:Luca Aiello at FRCCS 2023
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 accurately classify text along these ten dimensions. 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. We 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/luca-aiello-at-frccs-2023/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230612T120000
DTEND;TZID=Europe/Copenhagen:20230612T130000
DTSTAMP:20260423T005259
CREATED:20230425T131833Z
LAST-MODIFIED:20230425T131833Z
UID:1588-1686571200-1686574800@nerds.itu.dk
SUMMARY:Roberta at Reykjavik University
DESCRIPTION:Quantitative understanding of success and inequality through network science\nThe unprecedented availability of large-scale datasets on human activities and interactions has enabled us to quantitatively understand how networks shape success and drive inequalities in various fields. In this talk\, I will highlight the crucial role of network science in comprehending social phenomena\, particularly in the realms of art and science. Specifically\, I will present a series of findings on the evolution of careers in the arts\, utilizing a random walk model that successfully predicts artists’ success even twenty years into the future. I will then shift my focus to the COVID-19 pandemic and the advent of Large Language models\, discussing how they have amplified network inequalities in science. Through these examples\, I will demonstrate the importance of network science in measuring\, predicting\, and designing algorithms for social phenomena.
URL:https://nerds.itu.dk/event/roberta-at-reykjavik-university/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230613T120000
DTEND;TZID=Europe/Copenhagen:20230613T130000
DTSTAMP:20260423T005259
CREATED:20230425T132133Z
LAST-MODIFIED:20230425T132133Z
UID:1590-1686657600-1686661200@nerds.itu.dk
SUMMARY:Michael at Reykjavik University
DESCRIPTION:Computational\, evidence-based approaches to bicycle network planning\n  \nIn this talk\, I explore the opportunities and limitations of network and data science for bicycle infrastructure planning. With the increasing popularity of cycling as a mode of transportation\, and the necessity to invest into sustainable transport\, more accurate and reliable data and computational methods on bicycle infrastructure analysis are becoming a crucial support for planners\, engineers\, and policymakers. In particular\, I will introduce our new bicycle infrastructure data and network quality assessment tool BikeDNA\, and discuss various graph-based algorithms for assisting in bicycle network analysis and planning.
URL:https://nerds.itu.dk/event/michael-at-reykjavik-university/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20230626T130000
DTEND;TZID=America/Chicago:20230626T140000
DTSTAMP:20260423T005259
CREATED:20230625T204820Z
LAST-MODIFIED:20230625T204820Z
UID:1622-1687784400-1687788000@nerds.itu.dk
SUMMARY:Roberta at ICSSI
DESCRIPTION:Exploring Gender Bias and Collaborative Dynamics in Science: Lessons from natural and controlled experiments
URL:https://nerds.itu.dk/event/roberta-at-icssi/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230628T160000
DTEND;TZID=Europe/Copenhagen:20230628T163000
DTSTAMP:20260423T005259
CREATED:20230609T095935Z
LAST-MODIFIED:20230609T095935Z
UID:1610-1687968000-1687969800@nerds.itu.dk
SUMMARY:Anastassia at FOSS4G
DESCRIPTION:https://talks.osgeo.org/foss4g-2023/talk/RPVTPU/ \nBikeDNA: A tool for Bicycle Infrastructure Data & Network Assessment\n2023-06-28\, 16:00–16:30 (Europe/Tirane)\, UBT C / N110 – Second Floor\n\n\nAccess to high-quality data on existing bicycle infrastructure is a requirement for evidence-based bicycle network planning\, which can support a green transition of human mobility. However\, this requirement is rarely met: Data from governmental agencies or crowdsourced projects like OpenStreetMap often suffer from unknown\, heterogeneous\, or low quality. Currently available tools for road network data quality assessment often fail to account for network topology\, spatial heterogeneity\, and bicycle-specific data characteristics. \nTo fill these gaps\, we introduce BikeDNA\, an open-source tool for reproducible quality assessment tailored to bicycle infrastructure data. BikeDNA performs either a standalone analysis of one data set or a comparative analysis between OpenStreetMap and a reference data set\, including feature matching. Data quality metrics are considered both globally for the entire study area and locally on grid cell\, thus exposing spatial variation in data quality with a focus on network structure and connectivity. Interactive maps and HTML/PDF reports are generated to facilitate the visual exploration and communication of results. \nBikeDNA is based on open-source python libraries and Jupyter notebooks\, requires minimal programming knowledge\, and supports data quality assessments for a wide range of applications – from urban planning to OpenStreetMap data improvement or transportation network research. In this talk we will introduce how to use BikeDNA to evaluate and improve local data sets on bicycle infrastructure\, examine what BikeDNA can teach us on the current state of data for active mobility\, and discuss the importance of local quality assessments to support increased uptake of open and crowd-sourced data.
URL:https://nerds.itu.dk/event/anastassia-at-foss4g/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230703T093000
DTEND;TZID=America/New_York:20230703T110000
DTSTAMP:20260423T005259
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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20230712T121500
DTEND;TZID=Europe/Copenhagen:20230712T123000
DTSTAMP:20260423T005259
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
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231101
DTEND;VALUE=DATE:20231103
DTSTAMP:20260423T005259
CREATED:20231030T115918Z
LAST-MODIFIED:20231030T115918Z
UID:1871-1698796800-1698969599@nerds.itu.dk
SUMMARY:Ane at Kortdage
DESCRIPTION:Kvalitetsanalyser af de danske cykelstidata\nAne Rahbek Vierø\n\nDanmark kaldes ofte for en “cykelnation“\, men afspejler det sig også i vores cykeldata? Mange ønsker i dag at arbejde mere strategisk med udbygningen af cykelinfrastruktur – herunder at gøre brug af GIS-analyser af de nuværende cykelforhold – men de tilgængelige data er ofte af varierende eller ukendt kvalitet\, hvilket sår tvivl om anvendeligheden af data og analyser. \nIndlægget vil præsentere highlights fra en landsdækkende analyse af kvaliteten af cykelinfrastruktur byggende på GeoDanmark- og OpenStreetMap-data. Analysen er baseret på en nyt open-source værktøj udviklet til formålet. I præsentation vil vi give eksempler på\, hvordan man kan bruge kvalitetsanalyser til at forstå muligheder og begrænsninger i egne cykeldata\, og komme med ideer til\, hvordan kvalitetsanalyser kan understøtte anvendelsen af crowdsourcede datasæt. \nGodkendte Abstracts
URL:https://nerds.itu.dk/event/ane-at-kortdage/
CATEGORIES:NERDS away
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231128
DTEND;VALUE=DATE:20231201
DTSTAMP:20260423T005259
CREATED:20231215T124708Z
LAST-MODIFIED:20231215T124708Z
UID:1927-1701129600-1701388799@nerds.itu.dk
SUMMARY:Arianna at Complex Networks 2023
DESCRIPTION:The 12th International Conference on Complex Networks and their Applications\, Menton (French Riviera)\, 28-30 November 2023 \nExtended abstract 1 (poster): Tell Me Who You Are and I Will Predict Your Vulnerability to Political Persuasion Techniques w. Lucio La Cava and Alessia Antelmi\nGiven the evolving role of social media in political communication and the strategic use of these platforms by politicians to shape public opinion\, research has commonly focused on investigating computational propaganda as a means for automated information diffusion. Focusing on a less explored yet promising line\, we aim to assess political persuasion in digital contexts by introducing a computational framework that combines Natural Language Processing and Network Science methods to investigate the linkage between persuasion techniques on social media and personality traits of online political audiences. Our final goal is to enhance public awareness of political tactics and encourage critical thinking in response to the online spread of political information. \nExtended abstract 2 (lighting talk\, awarded as Best Lightning Talk): Finding Hidden Swingers in the 2022 Italian Elections Twitter Discourse w. Lucio La Cava and Alessia Antelmi\nThe volume of the Italian online political discourse on social media has recently increased\, but the coverage level does not compare with other Countries such as the US. Nonetheless\, researchers focused on studying polarization and homophily concerning political debates or investigating the role of populism in online engagement. In this research landscape\, the analysis of political preference shifts through social media remains to be explored. We aim to bridge this gap by examining the Twitter discourse during the 2022 Italian general elections\, with a specific emphasis on political “swingers”. In particular\, our findings indicate a stable political discourse in Italy\, yet they also uncover a growing presence of political swingers willing to shift their support to significantly different factions.
URL:https://nerds.itu.dk/event/arianna-at-complex-networks-2023/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Copenhagen:20231207T110000
DTEND;TZID=Europe/Copenhagen:20231207T123000
DTSTAMP:20260423T005259
CREATED:20231208T083802Z
LAST-MODIFIED:20231208T083802Z
UID:1912-1701946800-1701952200@nerds.itu.dk
SUMMARY:Roberta's Keynote at the CHR 2023
DESCRIPTION:Roberta gave a keynote talk at the Computational Humanities Research Conference 2023 (CHR 2023). The conference is held in Paris\, 6-8 December 2023. Roberta’s gave an online keynote talk\, entitled “Quantifying the dynamics of impact in science and art”.
URL:https://nerds.itu.dk/event/robertas-keynote-at-the-chr-2023/
LOCATION:ÉCOLE POUR L’INFORMATIQUE ET LES TECHNIQUES AVANCÉES\, Paris\, France
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240122
DTEND;VALUE=DATE:20240126
DTSTAMP:20260423T005259
CREATED:20231215T124807Z
LAST-MODIFIED:20231215T124807Z
UID:1929-1705881600-1706227199@nerds.itu.dk
SUMMARY:Arianna at NetSciX24
DESCRIPTION:NetSciX24\, Venice (Italy)\, 22-25 January 2024 https://netscix2024.netscisociety.org/ \nExtended abstract (regular talk): The Storm Within: Hurricanes and Socio-Political Leaning in Climate Change Group Behavior w. Luca Maria Aiello\nClimate change is a pressing global crisis marked by a surge in extreme weather events\, requiring societal responses and mitigation efforts. Focusing on the significant events of the 2022 Atlantic Hurricane season\, we scrutinize their impact on climate change-related group behavior on Reddit. By investigating topical discussion groups\, categorizing them based on socio-political leaning\, and analyzing their responses to climate change discourse\, our study aims to illuminate how extreme climate events influence engagement across diverse socio-political spectra. This examination contributes valuable insights into the dynamic interplay between climate crises and online discourse\, offering a nuanced perspective for effective climate communication and intervention strategies.
URL:https://nerds.itu.dk/event/arianna-at-netscix24/
CATEGORIES:NERDS away
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240201
DTEND;VALUE=DATE:20240203
DTSTAMP:20260423T005259
CREATED:20231215T125608Z
LAST-MODIFIED:20231215T125608Z
UID:1931-1706745600-1706918399@nerds.itu.dk
SUMMARY:NERDS at D3A
DESCRIPTION:https://d3aconference.dk/program/ \nSESSION #3 – AN INTERDISCIPLINARY DIVE INTO CLIMATE IT \nROOM: Sal G \nThe climate emergency is a multidimensional and wicked problem that requires a range of responses at various scales (local\, regional\, national\, and planetary). Whether the issue of concern is renewable energy and carbon reduction\, biodiversity loss\, transport\, agriculture\, the circular economy\, mitigation and adaptation\, or more desirable economies\, IT plays a central role. This seminar engages with the intersection between climate and digital technologies from different disciplinary perspectives to highlight how this intersection is multilayered and fraught with tension. \nOur first speaker will show how data-driven analysis can help urban planners design better infrastructure for active mobility like cycling. By addressing active mobility infrastructure from a system-wide and strategic angle\, data science can identify shortcomings in\, for example\, cycling accessibility and help build more sustainable cities. In this talk they will present how network science can guide investments in cycling infrastructure\, introduce the importance of incorporating subjective perceptions when quantifying bikeability\, and finally discuss the limitations and criticism of bicycle network research. \nOur second speaker will add to this perspective by looking at applications of spatiotemporal data analysis and forecasting in topics related to sustainability. Connecting to the previous talk\, the speaker will give examples of data gaps in last mile logistics and how prediction models can have a positive impact on the efficiency and sustainability of delivery systems. Secondly\, she will discuss spatiotemporal data processing in the use case of renewable energy\, particularly wind power prediction. The speaker will discuss new machine learning approaches that leverage location information to predict wind power output and the associated costs of running more complex large models. \nFinally\, the third speaker will present a framing of the overall session by asking ‘what is meant by “Climate IT”?’ And discuss this concept in relation to related discussions of ’twin transition’. The paper will consequently turn to what we legitimately can expect and demand of the role of IT in green transitions and processes of sustainability. After these three short talks\, there will be room for discussion with input from the audience. \nOverall\, the panel aims to explore the tense relations between digital technologies and climate change. On the one hand\, it highlights the ways in which these technologies can create the fact-based\, large-scale knowledge that can equip us to tackle the very complex problems our societies are faced with. On the other hand\, the panel also critically engages with how the revolutionary promises made by digital technologies often make us gloss over their growing climate impact. Together\, the different perspectives enable us to gain a deeper and more nuanced understanding of how to address arguably the most pressing challenge of our times\, the climate emergency. \nFormat\nSeminar with three short talks for questions and discussion.  \nTheme\nThe role of digital technologies in addressing societal challenges \nTarget Audience\nThe session is meant for anyone with an interest in climate change\, both academics from different disciplaines and IT professionals.  \nThere is no maximun number of participants for the session.  \nOrganizers\n\nAne Rahbeck Vierø\, Ph.D. Fellow\, Department of Computer Science\, IT University of Copenhagen\nMaria Sinziiana Astefanoai\, Assistant Professor\, Department of Computer Science\, IT University of Copenhagen\nSteffen Dalsgaard\, Professor at the Department of Business IT\, Head of Center for Climate IT\, IT University of Copenhagen
URL:https://nerds.itu.dk/event/nerds-at-d3a/
CATEGORIES:NERDS away
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