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X-WR-CALDESC:Events for POPNET
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DTSTART;TZID=Europe/Amsterdam:20220503T150000
DTEND;TZID=Europe/Amsterdam:20220503T190000
DTSTAMP:20260504T040933
CREATED:20220405T195259Z
LAST-MODIFIED:20220421T124539Z
UID:783-1651590000-1651604400@www.popnet.io
SUMMARY:How anonymous are you?!
DESCRIPTION:Statistics Netherlands (CBS) has enormous amounts of data at its disposal\, from which social networks are also derived. But how anonymous are you in this data? Is it possible for hackers to extract sensitive information from these data sets\, by combining them with other data sources? \n\n\n\nIn the hackathon ‘From Person to Open Data’\, you\, as a ‘potential attacker’\, will search for network relations of a given list of people. If you are able to find the most relations within 4 hours\, you receive a prize! \n\n\n\nInterested? Sign up for free before April 27th! The link to the registration form is available on Brightspace\, or request the registration link via popnet@uva.nl.Pizza and drinks at the end of the day are included\, and during the hackathon\, we will provide beverages and snacks. \n\n\n\nTimeProgramLocation14:45Walk-inRoom 40515:00IntroductionRoom 40515:10AssignmentRoom 302-30419:00End of assignmentPizza and drinksFooBar19:30Prize ceremony FooBar\n\n\n\nFor whom?Students. You don’t have to speak Dutch\, but it can be advantageous\, since the data is about Dutch people. You can sign up as a team of two\, but it is also possible to sign up individually. If you want\, we will pair you up with another student on the day itself. \n\n\n\nLocationLeiden University\, Snellius buildingNiels Bohrweg 1\, 2333 CA Leiden \n\n\n\nOrganisationThis hackathon is organized by the Anonymity in Complex Networks project (ANO-NET)\, the Methodology department of Statistics Netherlands (CBS)\, the Population-scale Social Network Analysis (POPNET) project of the University of Amsterdam and Leiden University and the Computational Network Science (CNS) research group of Leiden University.
URL:https://www.popnet.io/events/how-anonymous-are-you/
CATEGORIES:Hackathon
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220510T090000
DTEND;TZID=Europe/Amsterdam:20220510T100000
DTSTAMP:20260504T040933
CREATED:20220421T120534Z
LAST-MODIFIED:20220421T121833Z
UID:801-1652173200-1652176800@www.popnet.io
SUMMARY:POPNET Connects with Naja Hulvej Rod
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\n\nSocial phenomena and health: exploring the role of networks and group dynamics\n\n\n\nReducing health inequalities is a major public health priority\, but fundamental questions such as how multifaceted and socially patterned diseases like type 2 diabetes\, respiratory diseases and mental disorders behave in populations remain unanswered. To address these questions\, health science needs to evolve from primarily focusing on individual exposures and single diseases to a system-oriented approach\, considering the dynamics between diseases and events at an individual level\, and the subsequent group dynamics at a population level. This talk will present empirical results on social phenomena such as social networks\, workplace social capital and childhood adversity in families which arise from group dynamics and relate them to population health.  \n\n\n\n\n\n\n\nAbout Naja Hulvej Rod\n\n\n\nNaja Hulvej Rod is Professor of Epidemiology and Chair of the Section of Epidemiology\, University of Copenhagen. She is leading the Complexity and Big Data Group\, which aim at studying the social and biological factors determining health and disease across the life span. She has extensive expertise in working with longitudinal datasets\, register-based research and complex modelling including social influences and group dynamics. To embrace complexity in epidemiology\, she actively explores new sources (e.g. smartphones and geocoding) of ‘big data’\, incorporate system thinking and leverage insights across disciplines\, and she has been involved in several citizen science projects with a direct societal engagement and impact. Naja Hulvej Rod is PI of the Danish Life Course Cohort (DANLIFE) Study\, the Well-being in Hospital Employee Cohort (WHALE) study\, the SmartSleep program\, and the Corona Minds project.
URL:https://www.popnet.io/events/popnet-connects-with-naja-hulvej-rod/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220512T133000
DTEND;TZID=Europe/Amsterdam:20220512T150000
DTSTAMP:20260504T040933
CREATED:20220426T090638Z
LAST-MODIFIED:20220426T090640Z
UID:831-1652362200-1652367600@www.popnet.io
SUMMARY:The anatomy of a population-scale social network
DESCRIPTION:Lecture for the Institute for Analytical Sociology of Linköping University\, by Eszter Bokányi. \n\n\n\nAbstract: The analysis of large-scale societal networks has recently seen tremendous growth\, in part because of the relative abundance of digital data sources such as online social networks or mobile communication datasets. However\, most of these data sources lack demographic data on users or are uncertain with respect to the representativity of the user sample. Moreover\, it is often not clear what exact social relations these online or communication ties represent\, thus\, it is difficult to interpret findings. This talk will attempt to overcome a number of these drawbacks by presenting a thorough overview of the structure of a 17M node multilayer population-scale social network of the Netherlands containing roughly 1.6B edges derived from highly curated official data sources of CBS Netherlands. First\, we show how the degree distribution of this network is a composition of the degree distributions of the different types of edges. In the overall degree distribution\, we find a characteristic value that is in sharp contrast to the scale-free or other fat-tailed distributions found in online social networks or communication networks. Second\, we discuss different types of clustering in this multilayer network\, and show how closed or open network structures emerge for people of certain ages. In particular\, we introduce a normalized multilayer clustering coefficient that we call excess closure\, that captures the fraction of triangles in people’s social circles that span across multiple types of relationships. Finally\, we show that long-range ties that span large distances are very scarce in this network\, which is in contrast to findings in online social networks\, and does not promote fast and efficient diffusion processes over this structure\, despite average path lengths being low. Our measurements are first steps in building both methods and universal insights on the rich network structure of highly curated population-level network datasets.
URL:https://www.popnet.io/events/the-anatomy-of-a-population-scale-social-network/
CATEGORIES:Lecture
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220517T090000
DTEND;TZID=Europe/Amsterdam:20220517T100000
DTSTAMP:20260504T040933
CREATED:20220511T124947Z
LAST-MODIFIED:20220617T113600Z
UID:839-1652778000-1652781600@www.popnet.io
SUMMARY:POPNET Connects with Tamas David-Barrett
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\n\nStructural microfoundation theory\n\n\n\nYou are my love. You are my sister. You are my friend. A trivial fact of our species’ social life is that human social network edge type vary. This variation is not only important for each of these relationships\, but also for the structure of the social network around us. This talk will outline the theoretical models for what happens to the social network structure when the bulk of these relationships change. Our societies shift from kinship network to friendship networks due to falling fertility\, urbanisation\, and migration. Second\, the talk will offer an overview the existing empirical evidence using large datasets\, and suggest explicit empirical hypotheses. The final part will cover how three further phenomena is predicted by this theory\, and ideas of how to test these: the rise of modern law\, value fundamentalism\, and fake news. \n\n\n\n\n\n\n\nAbout Tamas David-Barrett\n\n\n\nTamas David-Barrett is an evolutionary behavioural scientist\, whose research asks what traits allow humans to live in large and culturally complex societies. He is especially interested in the architecture of social networks\, and the evolutionary origins of social network building traits. Tamas’s structural micro-foundation theory offers a new understanding of human societies\, and brings biological and social science models under a shared umbrella. \n\n\n\nCurrently\, Tamás is based in Oxford where he teaches at Trinity College. He was educated in London\, Cambridge\, Jerusalem\, and Budapest. Before becoming an academic\, he ran a research consultancy and worked all around the planet. He recently finished his book\, Matriocracy: The Science of Gender Rules. He is the host of the State of Species annual lecture\, and is currently working on a new book: How to Think Scientifically\, which tells the natural history of social and scientific truths.
URL:https://www.popnet.io/events/popnet-connects-with-tamas-david-barrett/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220519T083000
DTEND;TZID=Europe/Amsterdam:20220519T160000
DTSTAMP:20260504T040933
CREATED:20220421T123707Z
LAST-MODIFIED:20220421T124124Z
UID:809-1652949000-1652976000@www.popnet.io
SUMMARY:Dutch Network Science Society Symposium 2022
DESCRIPTION:The Dutch Network Science Society brings together researchers in network science in the Netherlands from various disciplines\, including math\, physics\, computer science\, social sciences\, economics and health sciences. There will be a program of invited talks from across the spectrum of research in network science. In addition\, there will be plenty of opportunities for the community to discuss\, socialize and enjoy food and drinks together. \n\n\n\nProgram\n\n\n\n9:30Walk in9:45Opening9:50Uniform sampling of random networks with sequential construction – Ivan Kryven\, Universiteit Utrecht10:25The anatomy of a population-scale social network – Eszter Bokányi\, Universiteit van Amsterdam/ Leiden University11:00Coffee break11:20From graphs to hypergraphs randomization – Tiziano Squartini\, IMT Lucca & Institute for Advanced Study UvA11:55Using machine learning to enhance graph processing algorithms – Ana Lucia Varbanescu\, Universiteit Twente & UvA12:30Lunch13:30Empirically calibrated network simulation as a tool to study social interventions – Christian Steglich\, Rijksuniversiteit Groningen14:05Multiscale network neuroscience: embracing the complexity of the human brain network – Linda Douw\, Vrije Universiteit14:40Industry & Society showcases15:10Coffee break15:40Using network models to describe\, predict\, understand\, and treat mental disorders – Eiko Fried\, Universiteit Leiden16:15Dutch Network Science Society Young Talent Prize Award – Bastian Prasse\, European Centre for Disease Prevention and Control17:00Drinks
URL:https://www.popnet.io/events/dutch-network-science-society-symposium-2022/
CATEGORIES:Symposium
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