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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20241209T110000
DTEND;TZID=Europe/Amsterdam:20241209T120000
DTSTAMP:20260502T174916
CREATED:20241022T115024Z
LAST-MODIFIED:20241028T132738Z
UID:1294-1733742000-1733745600@www.popnet.io
SUMMARY:POPNET Connects with Ana Macanovic (Hybrid)
DESCRIPTION:Please register to attend the seminar online via the button. You will receive a link to the virtual meeting via email. \n\n\n\nRegister\n\n\n\n \n\n\n\nLimits to Gender Equity in Science Communication (Hybrid)\n\n\n\nThe public continuously seeks scientific expertise on pressing issues and the scientists are becoming increasingly conscious of the importance of engaging with the public through different media outlets. Understanding and addressing contemporary societal challenges crucially depends on hearing diverse perspectives of a wide variety of scientists. Yet\, past research has shown that time in the media spotlight is unequally distributed between researchers belonging to different social groups. \n\n\n\nHere we focus on the representation of men and women scientists in the media. To better understand the complex landscape of gender differences in media representation\, we present a newly curated and fine-grained dataset\, the Dutch Professors in Media database (DPM). DPM contains information on scientific careers\, media attention across several media channels\, and co-authorship networks of almost 7 thousand full professors in the Netherlands. We start by evaluating gender inequality in professors’ media presence controlling for indicators of their own scientific prominence\, as well as the prominence of the collaborators in their scientific network. \n\n\n\nWe find that women receive significantly less attention than men in printed media\, but not in online news and on the social media across most scientific fields. Furthermore\, we evaluate the extent to which the features of one’s collaboration networks\, as well as the processes of cumulative advantage\, are associated with (gender differences in) professors’ consecutive media presence. \n\n\n\nAbout Ana Macanovic\n\n\n\n\n\n\n\nAna Macanovic is a Max Weber Fellow at the European University Institute (EUI) in Florence. Her interests include economic sociology\, study of inequalities\, and understanding of trust and cooperation in diverse groups. Ana is interested in how structural inequalities arise in societies and how they can be addressed. She has recently worked on gender representation of Dutch professors in newspapers and online media with Bas Hofstra. Currently\, Ana is working on several projects examining the accumulation of inequalities and innovation in academia\, as well as understanding the predictability of life outcomes of different social groups. \n\n\n\nIf you wish to attend this event on-site at IAS\, please send an email to j.murli@uva.nl. 
URL:https://www.popnet.io/events/popnet-connects-with-ana-macanovic/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20241021T140000
DTEND;TZID=Europe/Amsterdam:20241021T150000
DTSTAMP:20260502T174916
CREATED:20241009T093620Z
LAST-MODIFIED:20241009T093934Z
UID:1282-1729519200-1729522800@www.popnet.io
SUMMARY:POPNET Connects with Jolien Cremers
DESCRIPTION:Please register to attend the seminar online via the button. You will receive a link to the virtual meeting via email. \n\n\n\nRegister\n\n\n\n \n\n\n\nUnveiling the Social Fabric: A Temporal\, Nation-Scale Social Network and its Characteristics\n\n\n\nSocial networks shape individuals’ lives\, influencing everything from career paths to health. Statistics Denmark and Copenhagen Centre for Social Data Science developed a registry-based\, multi-layer and temporal network of the entire Danish population in the years 2008-2021 (roughly 7.2 mill. individuals). Our network maps the relationships formed through family\, households\, neighborhoods\, colleagues and classmates. Analysis of the network reveals how past connections reappear later in other layers\, that the number of relationships aggregated over time reflects the position in the income distribution\, and that we can recover canonical shortest path length distributions when appropriately weighting connections. \n\n\n\nAbout Jolien Cremers\n\n\n\n\n\n\n\nJolien Cremers is Senior Advisor at the Data Science Lab at Statistics Denmark. She is responsible for maintaining and developing the Danish Nation-Scale Social Network data as well as cooperating with outside researchers on projects that use this data. She obtained her Ph.D. in applied statistics for social science from Utrecht University in 2019. Her previous research was on Bayesian methodology for circular statistics as well as applied statistics for longitudinal models of health and other types of registry data.
URL:https://www.popnet.io/events/popnet-connects-with-jolien-cremers/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230522T110000
DTEND;TZID=Europe/Amsterdam:20230522T120000
DTSTAMP:20260502T174916
CREATED:20230508T112232Z
LAST-MODIFIED:20230516T120449Z
UID:1080-1684753200-1684756800@www.popnet.io
SUMMARY:POPNET Connects with Bas Hofstra
DESCRIPTION:This seminar is hybrid. Please register to attend the seminar online or on-site via the button. You will receive a link to the virtual meeting via email or a confirmation containing the on-site location \n\n\n\n\n\nAcademic Migration: Interdisciplinary Hierarchy\, Closure\, or Similarity?\n\n\n\nThe last two decades have seen a surge in research initiatives in many scientific fields surrounding interdisciplinarity. This has spawned many interdisciplinary research centers on US university campuses supported by billions of raised university or federal grant money to educate students as well as to facilitate interdisciplinary exchange and collaborations between faculty. This is often led by the belief that interdisciplinary exchange in science pushes research fields forward and accelerates breakthrough discovery. Interdisciplinary scientific collaboration is argued to pull together diverse insights from multiple bodies of knowledge\, is unrestricted by disciplinary boundaries or semantics\, and can draw from a larger methodological tool set. \n\n\n\nYet in spite of the push for interdisciplinary exchanges\, there is surprisingly little empirical knowledge on its prevalence\, patterning\, or determinants. This is remarkable\, because prior work shows that the social fabric of science itself is inherently shaped by exchanges of ideas\, knowledge\, and scholars themselves. Here\, we focus on the latter and study scholarly hiring between disciplines. How prevalent are such exchanges between disciplines and how did this develop over time? And\, more importantly\, what determines the emergence of these interdisciplinary exchange structures: do some disciplines disproportionately place faculty in other disciplines\, do disciplines cluster in such a hiring network\, or are interdisciplinary hires mostly explained by how intellectually similar discipline are? These questions motivate the main goals of this study: identifying patterns of interdisciplinary exchange and explaining the emergence and persistence of these network structures. \n\n\n\nWe build on and extend prior work\, particular the branches of literature on interdepartmental faculty hiring. Hiring often involves exchange indicative of implicit judgment; when one department hires a graduate student of another as faculty\, there is a positive assessment of the graduate department that places the student. The assortment of these dyadic exchanges across disciplines represent migration networks of scholars that illuminate disciplinary hierarchy\, clustering\, and similarity. Our study empirically considers these network dynamics\, thus providing insight into which disciplines wield the most influence in knowledge and scholarly exchange and why. \n\n\n\nOur empirical site contains a realized scientific migration market of approximately 1.03 million records of nearly all US PhD students and corresponding metadata – names\, supervisors\, disciplines\, and so forth – from their PhD theses (1980-2010). These data capture a wide cross-section of scholarly disciplines (N = 51) PhD-granting universities (N = 221)\, and departments (N = 8\,205). What is particularly useful about this database is that it allows us to follow PhD recipients through time in a near-closed system of PhD recipients and their scholarly careers moving onward\, thus showing the interdisciplinarization – which disciplines place students where and why? – of US academia. We analyze these interdisciplinary exchanges through a series of stERGMs that include nodal (discipline size\, popularity)\, dyadic (natural language processing measures of intellectual distance between disciplines\, field homophily)\, and closure dynamics. \n\n\n\n\n\n\n\nAbout Bas Hofstra\n\n\n\nBas Hofstra is Assistant Professor at Radboud University’s Department of Sociology. His work orbits the study of diversity\, stratification\, and innovation. It captures longitudinal systems of social and cultural exchange: from the gestation and birth of networks\, careers\, ideas\, or innovations\, to their use\, up until their eventual cessation. As such\, his work strives for three interrelated goals: (i) answering substantive questions on causes and effects of social networks\, while (ii) contributing to social theory\, and (iii) using computational methods and big data. His research appeared (among others) in PNAS\, American Sociological Review\, Social Forces\, Social Networks\, and Nature Human Behaviour\, and was honored with several grants and awards.
URL:https://www.popnet.io/events/popnet-connects-with-bas-hofstra/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230508T100000
DTEND;TZID=Europe/Amsterdam:20230508T110000
DTSTAMP:20260502T174916
CREATED:20230501T095640Z
LAST-MODIFIED:20230501T101407Z
UID:1073-1683540000-1683543600@www.popnet.io
SUMMARY:POPNET Connects with Miranda Lubbers and Michał Bojanowski
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\n\n \n\n\n\nSimulating society-wide networks based on NSUM\n\n\n\nIn a quest to understand larger patterns of sociability in a society and in particular its cohesion\, different methods have been employed based on survey data\, register data\, and social media data. In this talk\, we will discuss the ERC Advanced Grant project PATCHWORK\, which intends to simulate society-wide networks based on the Network Scale-Up Method (NSUM) that will be implemented in a cross-national survey. We will discuss its unique features\, how it compares to other methods used so far\, and potential benefits of integrating different methods of simulating society-wide methods. \n\n\n\n\n\n\n\n\nAbout Miranda Lubbers\n\n\n\nMiranda Lubbers (PhD from Groningen University\, the Netherlands) is Professor in Social and Cultural Anthropology of the Autonomous University of Barcelona (UAB)\, Spain\, director of the COALESCE Lab\, and an ICREA Acadèmia fellow. Her research studies how social networks shape processes of social cohesion\, polarization\, and exclusion. \n\n\n\n\n\n\n\n\n\nAbout Michał Bojanowski\n\n\n\nMichał Bojanowski is a computational sociologist (PhD from Utrecht University\, the Netherlands)\, researcher and Assistant Professor\, and R developer and trainer. His main research interests focus on (the dynamics of) social networks and mathematical/computational social science as tools for understanding conflict and cooperation. He is a researcher at the COALESCE Lab\, Universitat Autònoma de Barcelona\, participating in the Patchwork project\, and an Assistant professor at the Chair of Quantitative Methods and Information Technology\, Kozminski University.
URL:https://www.popnet.io/events/popnet-connects-with-miranda-lubbers-and-michal-bojanowski/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230220T100000
DTEND;TZID=Europe/Amsterdam:20230220T110000
DTSTAMP:20260502T174916
CREATED:20230116T150456Z
LAST-MODIFIED:20230116T150457Z
UID:1037-1676887200-1676890800@www.popnet.io
SUMMARY:POPNET Connects with Gert Stulp
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\n\n \n\n\n\nCollecting personal networks to study social influences on fertility behaviour\n\n\n\nPeople’s social environment is key in explaining their behaviour and preferences\, including how many children people want and have. Unfortunately\, obtaining information on the social environment\, for instance through collecting personal network data\, is difficult and often burdensome to participants. In this talk\, I will first report on my experiences with collecting large personal network data (25 alters) from a representative sample of Dutch women. I’ll discuss the trade-offs researchers face when designing network studies between the burden to respondents and the reliability of characteristics of networks. Data quality is further discussed\, including the usefulness of the concept “friend”. In the second part of the talk\, I use these data to test evolutionary and sociological ideas about the breakdown of kin networks in contemporary populations as an explanation for the fertility decline. I’ll further discuss how personal network data can inform on social influences on fertility behaviour. \n\n\n\n\n\n\n\nAbout Gert Stulp\n\n\n\nGert Stulp is based at the department of Sociology at the University of Groningen. He studies causes of the variation in the number of children people have and would like to have\, and employs diverse methods in his research including personal network data collection\, simulation studies\, and machine learning.
URL:https://www.popnet.io/events/popnet-connects-with-gert-stulp/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230206T140000
DTEND;TZID=Europe/Amsterdam:20230206T150000
DTSTAMP:20260502T174916
CREATED:20221024T095804Z
LAST-MODIFIED:20230113T145850Z
UID:963-1675692000-1675695600@www.popnet.io
SUMMARY:POPNET Connects with Ozan Candogan
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\n\n \n\n\n\nControlling Epidemic Spread: Reducing Economic Losses with Targeted Closures\n\n\n\nData on population movements can be helpful in designing targeted policy responses to curb epidemic spread. However\, it is not clear how to exactly leverage such data and how valuable they might be for the control of epidemics. To explore these questions\, we study a spatial epidemic model that explicitly accounts for population movements and propose an optimization framework for obtaining targeted policies that restrict economic activity in different neighborhoods of a city at different levels. We focus on COVID-19 and calibrate our model using the mobile phone data that capture individuals’ movements within New York City (NYC). We use these data to illustrate that targeting can allow for substantially higher employment levels than uniform (city-wide) policies when applied to reduce infections across a region of focus. In our NYC example (which focuses on the control of the disease in April 2020)\, our main model illustrates that appropriate targeting achieves a reduction in infections in all neighborhoods while resuming 23.1%–42.4% of the baseline nonteleworkable employment level. By contrast\, uniform restriction policies that achieve the same policy goal permit 3.92–6.25 times less nonteleworkable employment. Our optimization framework demonstrates the potential of targeting to limit the economic costs of unemployment while curbing the spread of an epidemic. \n\n\n\n\n\n\n\nAbout Ozan Candogan\n\n\n\nOzan Candogan is a Professor of Operations Management at Chicago Booth. Prior to joining Booth\, he was an Assistant Professor at the Fuqua School of Business where he was a member of the Decision Sciences area. He received his Ph.D. and M.S. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.Candogan’s main research area is social and economic networks.  His research covers two complementary themes. On one hand\, he investigates the impact of networks on operational decisions: He studies how to leverage network data (such as data on social networks\, mobility networks\, and trading networks) to improve operational decisions (ranging from pricing to inventory management and from information disclosure to facility location)\, and sheds light on the value of such data in different operational settings. On the other hand\, he develops novel approaches and tools for the analysis of complex social and economic systems; and explores their applications to characterization of equilibria and dynamics in games\, study of equilibria and comparative statics in trading networks\, and design of information disclosure policies. His research has applications to operations of online social networks\, ride-sharing platforms\, delivery platforms\, two-sided marketplaces\, supply chains\, and online advertising platforms\, among others. Ozan Candogan is a recipient of the 2022 Revenue Management and Pricing Section Prize\, and a finalist for the 2013 George Nicholson Student Paper Competition and the 2021 M&SOM Service Management SIG Prize. He was also a recipient of the 2009 Siebel Scholarship and the 2012 Microsoft Research Ph.D. Fellowship. 
URL:https://www.popnet.io/events/popnet-connects-with-ozan-candogan/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20221212T100000
DTEND;TZID=Europe/Amsterdam:20221212T110000
DTSTAMP:20260502T174916
CREATED:20221103T114159Z
LAST-MODIFIED:20221103T114749Z
UID:979-1670839200-1670842800@www.popnet.io
SUMMARY:POPNET Connects with Sune Lehmann
DESCRIPTION:Please register for the seminar via the button below. You will receive a confirmation and link to the meeting via email. \n\n\n\n\nRegister to attend online\n\n\n\n\n \n\n\n\nLife2vec: Predicting personality\, death\, emigration\, and other life-events from embeddings of registry data\n\n\n\nOver the past decade\, machine learning has revolutionised computers’ ability to analyze text through flexible computational models. Beyond text\, emerging transformer-based architectures have shown promise as tools to make sense of a range of multi-variate sequences from protein-structures to weather-forecasts due to their structural similarity to written language. Another type of process which has a strong structural similarity to language is human lives. From one perspective\, lives are simply sequences of events: We are born\, we visit the pediatrician\, we start school\, we move to a new location\, we get married\, and so on. Here\, we use this similarity to adapt innovations from natural language processing to examine the evolution and predictability of human lives based on day-to-day event sequences.  \n\n\n\n\n\n\n\nAbout Sune Lehmann\n\n\n\nSune is a Professor of Networks and Complexity Science at DTU Compute\, Technical University of Denmark. He’s also a Professor of Social Data Science at the Center for Social Data Science (SODAS)\, University of Copenhagen. His work focuses on quantitative understanding of social systems based on massive data sets. A physicist by training\, Sune’s research draws on approaches from the physics of complex systems\, machine learning\, and statistical analysis. He works on large-scale behavioral data and while his primary focus is on modeling complex networks\, his research has made substantial contributions on topics such as human mobility\, sleep\, academic performance\, complex contagion\, epidemic spreading\, and behavior on Twitter.
URL:https://www.popnet.io/events/popnet-connects-with-sune-lehmann/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20221121T120000
DTEND;TZID=Europe/Amsterdam:20221121T130000
DTSTAMP:20260502T174916
CREATED:20221103T113344Z
LAST-MODIFIED:20221103T114807Z
UID:977-1669032000-1669035600@www.popnet.io
SUMMARY:POPNET Connects with Ágnes Backhausz
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\nRegister to attend online\n\n\n\n\n \n\n\n\nThe impact of spatial and social structure on an SIR epidemic on a weighted multilayer network\n\n\n\nThe household model defined and analyzed by Frank Ball consists of households (small cliques of the same size)\, connected to each other with edges of smaller weight. However\, this model does not include dense clusters other than the households themselves\, hence\, for example\, school classes are not represented. Starting from this\, in the current work we were interested in the behaviour of an SIR process on a more complex random graph model\, based on the layer of households\, a layer of schools and workplaces\, the layer representing the spatial structure and a fourth layer representing communal places. We studied the sensitivity of the model for the different parameters\, looked for estimates of the parameters in a simpler case\, and compared different vaccination strategies. Our model and the main results will be presented in the talk. \n\n\n\nJoint work with István Z. Kiss\, Péter L. Simon and György Székely. \n\n\n\n\n\n\n\nAbout Ágnes Backhausz\n\n\n\nÁgnes Backhausz obtained her PhD in 2013 at ELTE Eötvös Loránd University\, Budapest\, Hungary\, with a thesis on preferential attachment random graphs. As a postdoctoral researcher\, she spent two years at Alfred Renyi Institute of Mathematics\, working in the “Limits of Structures” research group. Her research topic includes random graphs\, graph limit theory\, and more recently epidemic spread on random networks. Currently she is an assistant professor at ELTE Eötvös Loránd University\, Budapest\, Hungary\, and also a research fellow at Alfréd Rényi Institute of Mathematics.
URL:https://www.popnet.io/events/popnet-connects-with-agnes-backhausz/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20221027T110000
DTEND;TZID=Europe/Amsterdam:20221027T120000
DTSTAMP:20260502T174916
CREATED:20221013T092705Z
LAST-MODIFIED:20221026T141059Z
UID:948-1666868400-1666872000@www.popnet.io
SUMMARY:POPNET Connects with Vincent Traag
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\nRegister to attend online\n\n\n\n\n \n\n\n\n\nRegister to attend on-site\n\n\n\n\nLocation: Leiden UniverisityLeiden Institute of Advanced Computer Science (LIACS)\, Room 403Niels Bohrweg 12333 CA Leiden \n\n\n\nLarge network community detection by fast label propagation\n\n\n\nMany networks exhibit some community structure. There exists a wide variety of approaches to detect communities in networks\, each offering different interpretations and associated algorithms. For large networks\, there is the additional requirement of speed. In this context\, the so-called label propagation algorithm (LPA) was proposed\, which runs in near linear time. In partitions uncovered by LPA\, each node is ensured to have most links to its assigned community. We here propose a fast variant of LPA (FLPA) that is based on processing a queue of nodes whose neighbourhood recently changed. We test FLPA exhaustively on benchmark networks and empirical networks\, finding that it runs up to 700 times faster than LPA. In partitions found by FLPA\, we prove that each node is again guaranteed to have most links to its assigned community. Our results show that FLPA is generally preferable to LPA. \n\n\n\nAbout Vincent Traag\n\n\n\n\n\n\n\nVincent Traag is a senior researcher at the Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands. He leads the research line on modelling the research system within the Quantitative Science Studies (QSS) research group. His main interests are mathematical models in the social sciences with a focus on (social) networks. In addition to his scientific research\, Traag also acts as a bibliometric consultant at the CWTS. \n\n\n\nTraag obtained his Master in sociology (cum laude) from the University of Amsterdam (2008). Coming from a computer science background\, and taking up mathematics during his studies in sociology\, he went on to obtain a PhD in applied mathematics in Louvain-la-Neuve\, Belgium (2013). During his PhD he studied methods for detecting communities in complex networks\, resulting in a Python software package. In addition\, he applied this methodology in several fields across the (social) sciences\, ranging from citation networks to international relations. He joined the CWTS in 2015.
URL:https://www.popnet.io/events/popnet-connects-with-vincent-traag/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220919T100000
DTEND;TZID=Europe/Amsterdam:20220919T110000
DTSTAMP:20260502T174916
CREATED:20220623T115514Z
LAST-MODIFIED:20220905T080707Z
UID:872-1663581600-1663585200@www.popnet.io
SUMMARY:POPNET Connects with Floris Vermeulen
DESCRIPTION:Please register for the seminar via the button. You will receive a confirmation via email.  \n\n\n\n\n\nWhat do big data analytics reveal about neighbourhood organisational vitality?\n\n\n\nBig data from images captured by Google Street View (GSV) can be used to analyse the extent to which the built environment impacts the survival rate of neighbourhood-based social organisations in Amsterdam\, the Netherlands. These organisations are important building blocks for social life in urban neighbourhoods. Examining these organisations’ relationships with their environment has been a useful way to study their vitality. To extract data on built environment features from GSV images\, we applied a deep learning model\, DeepLabv3+. Using elastic net regression we were able to test the relationship between the built environment empirically – distinguishing between car-related\, walking-related and mixed-use land infrastructure – and the survival of neighbourhood organisations. This testing approach is novel\, to our knowledge not yet having been applied in Urban Studies. Besides revealing the effects of built environment features on the social life between buildings\, our study points to the value of easily applicable observational big data. Data captured by GSV and other recently developed methods offer researchers the opportunity to conduct detailed yet relatively swift and inexpensive studies without resorting to overly coarse or common subjective measurements. \n\n\n\n\nRead the full article\n\n\n\n\nAbout Floris Vermeulen\n\n\n\n\n\n\n\nDr. Floris Vermeulen is associate professor (universitair hoofddocent) at the department of political science at the University of Amsterdam . He has been chair of the department of Political Science (2015-1017) and co-director of the Institute for Migration and Ethnic Studies (IMES) (2011-2014) and co-programme group leader of Challenges to Democratic Representation of the Amsterdam Institute of Social Science Research (AISSR) (2011-2014). He studied Economic and Social History at the University of Amsterdam. His dissertation (Cum Laude) was published in the IMISCOE-AUP publication programme\, entitled The immigrant organising process. Turkish organisations in Amsterdam and Berlin and Surinamese organisations in Amsterdam 1960-2000.
URL:https://www.popnet.io/events/popnet-connects-with-floris-vermeulen/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220517T090000
DTEND;TZID=Europe/Amsterdam:20220517T100000
DTSTAMP:20260502T174916
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220510T090000
DTEND;TZID=Europe/Amsterdam:20220510T100000
DTSTAMP:20260502T174916
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220419T090000
DTEND;TZID=Europe/Amsterdam:20220419T100000
DTSTAMP:20260502T174916
CREATED:20220401T083134Z
LAST-MODIFIED:20220401T083825Z
UID:768-1650358800-1650362400@www.popnet.io
SUMMARY:POPNET Connects with Rense Corten
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.    \n\n\n\n\nRegister\n\n\n\n\nSocial networks research with digital traces data\n\n\n\nThe emergence of the internet and its various modes of online interaction have created unprecedented opportunities for social scientists to study classic social questions in new ways\, but also to ask new questions. This holds in particular for themes like social networks\, social order\, and cooperation. In this talk I will present various examples of my work over the past years on these themes\, drawing on a variety of different “digital traces” data sources\, including social media and online markets. \n\n\n\nAbout Rense Corten\n\n\n\n\n\n\n\nRense Corten is Associate Professor at the Department of Sociology. His research revolves around the themes of cooperation\, trust\, and (the dynamics of) social networks\, with empirical applications including adolescent networks\, social media\, the sharing economy\, online criminal networks\, and laboratory experiments. In 2016 he received an NWO Vidi grant for a research project on the origins and consequences of trust in the sharing economy.He obtained his PhD in social sciences in 2009 and his doctorate in sociology in 2004 at Utrecht University.
URL:https://www.popnet.io/events/popnet-connects-with-rense-corten/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220405T090000
DTEND;TZID=Europe/Amsterdam:20220405T100000
DTSTAMP:20260502T174916
CREATED:20220329T093530Z
LAST-MODIFIED:20220401T083859Z
UID:757-1649149200-1649152800@www.popnet.io
SUMMARY:POPNET Connects with Willem Boterman
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.   \n\n\n\n\nRegister\n\n\n\n\nSchool choice and school segregation\n\n\n\nSchool segregation is both a result and a cause of educational inequalities in societies world-wide. Understanding mechanisms for the emergence of school segregation is crucial for understanding potential policy solutions. A vast literature has identified a number of main factors in school segregation of which residential patterns and school choice are arguably the most important. Drawing on findings from a range of qualitative and quantitative studies\, I will outline the complexity of school segregation and suggest to combine existing approaches with a complexity science perspective. I will present both empirical evidence from the Netherlands and insights from theoretical models. \n\n\n\nAbout Willem Boterman\n\n\n\n\n\n\n\nWillem Boterman is Associate Professor Urban Geography at the University of Amsterdam. He combines qualitative and quantitative methods in his interdisciplinary work into the relationship between spatial and social inequalities. His work is primarily concerned with segregation in neighborhoods and schools\, but also with formations of social class and gender.
URL:https://www.popnet.io/events/popnet-connects-with-willem-boterman/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220322T090000
DTEND;TZID=Europe/Amsterdam:20220322T100000
DTSTAMP:20260502T174916
CREATED:20220304T122239Z
LAST-MODIFIED:20220304T122414Z
UID:753-1647939600-1647943200@www.popnet.io
SUMMARY:POPNET Connects with Marjolijn Das
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nUsing a whole population network in the social sciences\n\n\n\nNetwork research can have enormous added value in different substantive research fields\, ranging from epidemiology and infectious disease control to economics and the social sciences. This talk focuses on the use of integral administrative register data within the social sciences\, in particular the Dutch whole population network which contains links between neighbours\, household members\, family\, colleagues and classmates. I will present social research done at CBS with register data and with the network\, such as contagion of demographic behaviour\, segregation\, and clustering of crime within networks. I will also sketch avenues for future social research. \n\n\n\n\n\n\n\nAbout Marjolijn Das\n\n\n\nMarjolijn Das works as a senior statistical researcher at Statistics Netherlands and is an endowed professor of Urban Statistics at the Erasmus School of Social and Behavioural Sciences\, Erasmus University Rotterdam\, appointed within the Leiden-Delft-Erasmus Centre for BOLD Cities. Her research focuses on quantitative social research with large-scale register data. For a number of years\, she has been working with the whole population network derived by CBS. Her research theme is the interplay between people and their urban/social environment. She published on spatial inequalities\, mobility in the life course\, social and family networks and the intergenerational transmission of education. She holds a PhD in Ethology from Utrecht University.
URL:https://www.popnet.io/events/popnet-connects-with-marjolijn-das/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220221T100000
DTEND;TZID=Europe/Amsterdam:20220221T110000
DTSTAMP:20260502T174916
CREATED:20220216T150605Z
LAST-MODIFIED:20220216T150812Z
UID:748-1645437600-1645441200@www.popnet.io
SUMMARY:POPNET Connects with Fariba Karimi
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.    \n\n\n\n\nRegister\n\n\n\n\nNetwork Inequality: Emergence of inequalities and bias in social networks\n\n\n\nIn this talk\, I show how fundamental properties of social interactions such as homophily can result in the emergence of inequalities and biases in society and algorithms and what societal consequences it has on the visibility of minorities. \n\n\n\n\n\n\n\nAbout Fariba Karimi\n\n\n\nFariba Karimi is leading the Network Inequality group at Complexity Science Hub. \n\n\n\nHer expertise encompasses network analysis\, computational social science\, data science\, and agent-based modeling. Her current research focuses on emergence of inequalities and biases in social networks and online algorithms. She has recently awarded a Digital Humanism grant to study the impact of algorithms on exacerbating social inequalities. \n\n\n\nHer research appears in leading journals including Nature Human Behavior\, Scientific Reports\, Nature Humanities and Social Sciences Communications\, Advances in Complex Systems\, and EPJ Data Science. She is among the 7 candidates for the Hedy Lamarr Prize of the city of Vienna honoring women researchers in Austria for their outstanding achievements in the field of information technology.
URL:https://www.popnet.io/events/popnet-connects-with-fariba-karimi/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20220208T100000
DTEND;TZID=Europe/Amsterdam:20220208T110000
DTSTAMP:20260502T174916
CREATED:20220112T124725Z
LAST-MODIFIED:20220113T123313Z
UID:708-1644314400-1644318000@www.popnet.io
SUMMARY:POPNET Connects with David Schoch
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.   \n\n\n\n\nRegister\n\n\n\n\nRethinking one-mode projections\n\n\n\nTwo-mode networks are usually analyzed in one of two ways. With the “direct” approach using methods tailored for bipartite graphs\, or with the “conversion” approach\, which includes all methods that project the two-mode network onto each mode separately.In this talk\, I focus on one-mode projections where one mode serves as the primary mode and the second mode only as a proxy for relations among actors in the primary mode. Drawing parallels to item response theory\, I argue that projected (and dichotomized) ties are conceptually different than traditional ties\, which therefore restricts the applicability and interpretability of standard network analytic tools in such cases. I will introduce a set of alternative methods to analyze one-mode projections and exemplify these with several empirical examples. \n\n\n\nAbout David Schoch\n\n\n\n\n\n\n\nDavid came to Manchester in September 2018 as a Presidential Fellow in Sociology. He received his PhD in 2015 at the Department of Computer and Information Science\, University of Konstanz\, Germany. During that time\, He was also a member of the Graduate School of Decision Sciences. His thesis focused on theoretical advancements for network centrality in the field of social network analysis. He continued as a postdoctoral researcher at the University of Konstanz (11/2015-10/2017) and ETH Zurich (11/2017-8/2018). David also holds a diploma in economathematics from the Karlsruhe Institute of Technology\, Germany.In his current research\, he focuses on methodological and theoretical contributions to the field of Social Network Analysis. Additionally\, he is involved in a project on disinformation campaigns on social media platforms (“political astroturfing”).
URL:https://www.popnet.io/events/popnet-connects-with-david-schoch/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20211217T090000
DTEND;TZID=Europe/Amsterdam:20211217T100000
DTSTAMP:20260502T174916
CREATED:20220112T130212Z
LAST-MODIFIED:20220113T123305Z
UID:716-1639731600-1639735200@www.popnet.io
SUMMARY:ANET Lab Seminar Series: Frank W. Takes
DESCRIPTION:Frank W. Takes (Leiden University & University of Amsterdam): Population-scale Social Network Analysis \n\n\n\nAbstract | Country-wide administrative register data\, as studied within the POPNET project\, enables the discovery of population-scale insights into contemporary social scientific problems such as segregation\, inequality\, loneliness and poverty. This talk considers responsibly anonymized population-scale social network data on all 17 million inhabitants of the Netherlands. We discuss how the formal links in this social network require one to critically rethink network analysis concepts such as the unit of analysis\, measurement errors effects and the boundary specification problem\, but also allows us to in a unique way revisit the well-known small-world phenomenon. The talk furthermore presents initial findings on the relation between the network structure and spatial distribution of the population. \n\n\n\nBio | Frank Takes is head of the Computational Network Science Lab at LIACS\, the computer science department of Leiden University. He is also co-PI of the Population-scale social network Analysis (POPNET) platform\, involving a collaboration between Leiden University\, University of Amsterdam and Statistics Netherlands (CBS). His research deals with understanding the connectivity of our highly connected society\, and is fascinated by how complex network structures cause societies or economies to fail or succeed. He is a steering committee member of the International Conference on Computational Social Science and a board member of the Dutch Network Science Society\, an official chapter of the International Network Science Society. For more information\, see https://franktakes.nl
URL:https://www.popnet.io/events/anet-lab-seminar-series-frank-w-takes/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20211214T100000
DTEND;TZID=Europe/Amsterdam:20211214T110000
DTSTAMP:20260502T174916
CREATED:20211207T134827Z
LAST-MODIFIED:20220113T123255Z
UID:699-1639476000-1639479600@www.popnet.io
SUMMARY:POPNET Connects with Lőrincz László
DESCRIPTION:The role of skills in local and global coworker networks\n\n\n\nSocial connections that reach distant places are advantageous for individuals\, firms and cities\, providing access to new skills and knowledge. However\, systematic evidence on how firms build global knowledge access is still lacking. In this paper\, we analyse how global work connections relate to differences in the skill composition of employees within companies and local industry clusters. We gather survey data from 10% of workers in a local industry in Sweden\, and complement this with digital trace data to map co-worker networks and skill composition. This unique combination of data and features allows us to quantify global connections of employees and measure the degree of skill similarity and skill relatedness to co-workers. We find that workers with extensive local networks typically have skills related to those of others in the region and to those of their co-workers. Workers with more global ties typically bring in less related skills to the region. These results provide new insights into the composition of skills within knowledge-intensive firms by connecting the geography of network contacts to the diversity of skills accessible through them. \n\n\n\nAbout  Lőrincz László\n\n\n\n\n\n\n\nLászló Lőrincz is a Sociologist (Ph.D) at NETI Lab at Corvinus University\, and ANet Lab at Research Centre for Economic and Regional Studies. He joined the Research Centre for Economic and Regional Studies in 2013\, after working in the government\, and in the private sector. He works at Corvinus University since 2016. His research includes adoption and collapse of online social networks\, and network aspects of labor mobility and migration. His work was published in Social Networks\, Journal of Technology Transfer and Applied Network Science.
URL:https://www.popnet.io/events/popnet-connects-with-lorincz-laszlo/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20211116T100000
DTEND;TZID=Europe/Amsterdam:20211116T110000
DTSTAMP:20260502T174916
CREATED:20211012T112037Z
LAST-MODIFIED:20211029T100224Z
UID:654-1637056800-1637060400@www.popnet.io
SUMMARY:POPNET Connects with Márton Karsai
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nSocioeconomic correlations in social-communication networks and mobility\n\n\n\nOur understanding of the structure and dynamics of social systems has been developed considerably during the last years due to the recent availability of large digital datasets collecting interactions of millions of individuals. However\, although these studies consider the structural\, temporal\, or spatial characters of human interactions they commonly miss one important dimension regarding the socioeconomic status of individuals\, which may largely determine the social structure itself. The uneven distribution of wealth and individual economic capacities are among the main forces\, which shape modern societies and arguably bias the emerging social network. In this talk\, we will discuss a set of results aiming to close this gap through studies relying on various data-driven observations on mobile-phone communication\, bank transaction\, satellite\, online social system and human mobility datasets. We will find that socioeconomic disparities lead to segregation patterns not only in space but in the social network structure and mobility patterns of people. \n\n\n\nAbout Márton Karsai\n\n\n\n\n\n\n\nMárton Karsai\, PhD\, Habil.\, is an Associate Professor in the Department of Network and Data Science at the Central European University\, researcher at the Rényi Institute of Mathematics\, and fellow of the ISI Foundation in Torino. His research interest falls within human dynamics\, computational social science\, and data science\, especially focusing on heterogeneous temporal dynamics\, spatial and temporal networks\, socioeconomic systems and social contagion phenomena. His main expertise is in analysing large human interaction datasets and in the development of data-driven models of various social phenomena.
URL:https://www.popnet.io/events/popnet-connects-with-marton-karsai/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20211011T100000
DTEND;TZID=Europe/Amsterdam:20211011T110000
DTSTAMP:20260502T174916
CREATED:20210917T083834Z
LAST-MODIFIED:20211029T100232Z
UID:637-1633946400-1633950000@www.popnet.io
SUMMARY:POPNET Connects with Milena Tsvetkova
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nUsing networks to study inequality: two examples \n\n\n\nDo daily decisions and social interactions reproduce socioeconomic inequality? Limited resources could drive self-defeating behaviour\, strain interactions with others\, and restrict access to valuable information in ways that reinforce people’s disadvantaged position\, while already abundant resources could beget additional advantages in ways that make the rich richer. I will present two projects that use radically different computational and analytical methods to address this general hypothesis. In the first example\, we conduct online network cooperation experiments to study whether the visibility of outcome-relevant resources (ability\, intelligence\, knowledge\, etc.) and the visibility of wealth could improve inequality. In the second example\, we analyse the bipartite network of verified Twitter accounts of companies\, brands\, and organizations and their followers to estimate the socioeconomic status of individual Twitter users.  \n\n\n\nAbout Milena Tsvetkova \n\n\n\n\n\n\n\nMilena Tsvetkova is Assistant Professor of Computational Social Science at the Department of Methodology at the London School of Economics and Political Science. She completed her PhD in Sociology at Cornell University and postdoctoral research at the Oxford Internet Institute. Her research interests lie in the fields of computational social science. She uses large-scale web-based social interaction experiments\, network analysis of online data\, and agent-based modelling to investigate fundamental social phenomena such as cooperation\, social contagion\, segregation\, and inequality.
URL:https://www.popnet.io/events/popnet-connects-with-milena-tsvetkova/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210927T100000
DTEND;TZID=Europe/Amsterdam:20210927T110000
DTSTAMP:20260502T174916
CREATED:20210907T112024Z
LAST-MODIFIED:20211029T100247Z
UID:625-1632736800-1632740400@www.popnet.io
SUMMARY:POPNET Connects with Tobias Blanke
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nAlgorithmic Reason – The New Government of Self and Other\n\n\n\nTobias Blanke will present parts of their forthcoming book (together with Claudia Aradau) on “Algorithmic Reason – The New Government of Self and Other”. He will focus on the big data debates as they are pertinent to fundamental questions of the relations between the governing of individuals and populations before focussing on a case of how these translate into the identification of ‘others’ in the global war on terror using network analysis. \n\n\n\nAbout Tobias Blanke\n\n\n\n\n\n\n\nTobias Blanke is Distinguished University Professor of Artificial Intelligence and Humanities at the University of Amsterdam and project partner of POPNET. \n\n\n\nHis academic background is in moral philosophy and computer science. Tobias’ principal research interests lie in the development and research of artificial intelligence and big data devices as well as infrastructures for research\, particularly in the human sciences. Recently\, he has also extensively published on ethical questions of AI like predictive policing or algorithmic otherings\, as well as critical digital practices and the engagement with digital platforms. \n\n\n\nTobias’ monographs include most recently Digital Asset Ecosystems – Rethinking Crowds and Clouds\, which offers a new perspective on the collaboration between humans and computers in global digital workflows. He is currently writing a book on the socio-economic position of AI called ‘Algorithmic Reason – the Governance of Self and Other’.
URL:https://www.popnet.io/events/popnet-connects-with-tobias-blanke/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210913T100000
DTEND;TZID=Europe/Amsterdam:20210913T110000
DTSTAMP:20260502T174916
CREATED:20210831T141616Z
LAST-MODIFIED:20211029T100253Z
UID:617-1631527200-1631530800@www.popnet.io
SUMMARY:POPNET Connects with Lasse Folke Henriksen
DESCRIPTION:Please register for the seminar via the button. You will receive a link to the virtual meeting via email.  \n\n\n\n\nRegister\n\n\n\n\nCareers through Networks – Studying the Relational Underpinnings of Social Mobility using Danish Register Data\n\n\n\nLabor market mobility is the product of people traversing complex interdependent networks of institutions and people. Over the course of careers\, workers build social networks to other workers through shared institutional and organizational histories. For a long time\, scholars have studied how such networks enable and constraint the mobility of workers\, shaping horizontal movement across workplaces as well as vertical movement in the occupational structure. In this talk we theorize the relative importance of different configurations of worker ego networks in enabling social mobility in labor markets\, along with their changing utility across different occupational careers. \n\n\n\nWe consider family\, education-\, workplace-\, and resident-based ties to co-workers and managers and provide a theoretical framework that link synergies between the type\, strength and power asymmetry of social ties to horizontal and vertical mobility outcomes. We present various analytical strategies for identifying workers’ network configurations and for testing the relative importance of different configurations on different mobility outcomes. Combining linked employer-employee data with population registers and educational records we reconstruct workers’ network configurations as they move between workplaces. By combining dynamic multimodal network data with mobility outcomes across workers’ careers we are able to demonstrate the multiple pathways by which networks inform labor market mobility.  \n\n\n\nAbout Lasse Folke Henriksen\n\n\n\n\n\n\n\nLasse Folke Henriksen is Associate Professor at Copenhagen Business School. Henriksen’s research interests involve: social networks in organisations and markets; experts and professions in governance and policy; the socio-economic and political prominence of corporate elite; inequality in a comparative perspective; and the politics of conservation and environmental sustainability. His work frequently deploys social network analytic tools to trace the origins of social and political action. Henriksen is the author of several books and he has published in journals such as Organization; Social Networks; Regulation & Governance; Global Networks; and International Political Sociology.
URL:https://www.popnet.io/events/popnet-connects-with-lasse-folke-henriksen/
CATEGORIES:Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210615T130000
DTEND;TZID=Europe/Amsterdam:20210615T143000
DTSTAMP:20260502T174916
CREATED:20210609T082811Z
LAST-MODIFIED:20220113T123135Z
UID:460-1623762000-1623767400@www.popnet.io
SUMMARY:POPNET Connects with Zoltán Elekes
DESCRIPTION:Using Swedish register data for regional and network science \n\n\n\nDrawing on statistical registers\, Sweden offers world-class microdata resources for quantitative research. The register data covers the entire population of Sweden in a panel structure\, also matching workers to workplaces. As such it provides detailed information on individuals\, workplaces\, firms and regions over time. In this talk I will give an overview of the use of this dataset\, and provide examples of ongoing research based on it in the context of regional and network science. This part will first cover inferring coworker networks to explain individual\, firm and regional outcomes. Second\, I will show how constructing skill-relatedness networks enables the study of individual wage-mobility\, the economic resilience of local labour markets\, and helps informing regional policy on economic diversification. \n\n\n\nAbout Zoltan Elekes \n\n\n\nZoltán Elekes is engaged in research on topics at the intersection of evolutionary economic geography and network science. He holds a PhD in economics from the Doctoral School of Economics\, University of Szeged\, Hungary since 2018. In his thesis he explored how multinational enterprises and import influence the economic diversification of microregions. He is a research fellow at the ANET Lab of the Centre for Economic and Regional Studies in Hungary\, where he studies the geography of collaborative knowledge production and supplier-buyer networks. He leads a research project at the Centre for Regional Science at Umeå University\, Sweden on how the network structure of local labour markets condition regional economic resilience. He has published in leading field journals including Regional Studies and European Planning Studies\, and has refereed for Economic Geography and Regional Studies among others. Zoltán is the 2019 recipient of the Excellent Young Regional Scientist Award of the Hungarian Regional Science Association\, the Hungarian section of ERSA. Since 2019 he has been engaged on multiple occasions in consulting policymakers in Swedish regions on smart specialization and regional economic development. He continues to mentor students in Hungary\, and contributes to the Network and Spatial Analysis course developed by the ANET Lab. \n\n\n\nAbout POPNET Connects \n\n\n\nPOPNET Connects is the seminar series of the Population Scale Network Analysis (POPNET) platform. We invite everyone to join the seminar\, connect with others and get involved in discussion. Interested in joining? Send us an email or sign up for our mailing list.
URL:https://www.popnet.io/events/popnet-connects-with-zoltan-elekes/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20210518T130000
DTEND;TZID=Europe/Amsterdam:20210518T143000
DTSTAMP:20260502T174916
CREATED:20210517T063808Z
LAST-MODIFIED:20220113T123103Z
UID:387-1621342800-1621348200@www.popnet.io
SUMMARY:POPNET Connects with Yuliia Kazmina
DESCRIPTION:Uncovering corruption risks in public procurement using big data: the case of Ukraine \n\n\n\nCorruption\, favoritism and lack of public accountability have long been a central topic in academic research and policy debates. This study focuses on the phenomenon of corruption in a bureaucratic context\, in one of the most corruption-prone sectors – public procurement. In their attempts to fight institutionalized grand corruption\, governments all over the world improve the regulatory frameworks to ensure transparent and efficient public procurement market. One of the recent developments in the field was a successful launch of the ProZorro public procurement platform in Ukraine that achieved recognition all over the world as one of the best procurement reforms. Despite the enormous effort invested in the development of the transparent and efficient public procurement platform\, it is too early to conclude that ProZorro successfully eliminated corruption. Hence\, this study sets out to precisely estimate the prevalence and distribution of corruption risks in ProZorro. Overall\, we find that ProZorro faces issues related to the lack of competition such as a low number of suppliers and a high share of single bidding contracts in some of the procurement markets. To tackle these issues\, we develop a risk assessment tool for policymakers that could signal higher corruption risks in tendering processes. \n\n\n\nAbout Yuliia Kazmina \n\n\n\nYuliia Kazmina is a PhD Candidate at the POPNET project. She obtained a master’s degree in Economic Policy in Global Markets from the Central European University\, Hungary.Yuliia’s research interests concern the domain of computational social science and data-driven policymaking with a focus on network science approach. Previously Yuliia has been a data scientist at a think tank researching and advocating good governance and her policy projects focused on issues of transparency\, corruption\, and collusion in public funds as well as risks of organized crime.
URL:https://www.popnet.io/events/popnet-connects-with-yuliia-kazmina/
CATEGORIES:Seminar
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DTSTART;TZID=Europe/Amsterdam:20210429T140000
DTEND;TZID=Europe/Amsterdam:20210429T150000
DTSTAMP:20260502T174916
CREATED:20210423T090227Z
LAST-MODIFIED:20220113T123021Z
UID:222-1619704800-1619708400@www.popnet.io
SUMMARY:POPNET Connects with Eszter Bokányi
DESCRIPTION:Thursday 29th April 2021 from 14:00 – 15:00Seminar \nThe anatomy of metropolitan spatial social networks\nSpatially embedded social networks have long been at the focus of researchers\, but the resolution of most studies was not enough to analyze how connections are formed within large urban areas\, and how all this is linked to the socio-economic status of people within the network. First\, I am going to show how commuting distance conditions the online social ties of Twitter users in the 50 largest metropolitan areas of the United States. Home and work locations are identified from geolocated tweets that enable us to infer the socio-economic status of individuals. The results suggest that commuting-enabled mixing manifests in reduced levels of income assortativity in online social relationships suggesting a universal role of commuting in integrating disparate social networks in cities. Second\, I am going to talk about the difference between the spatial concentration of social ties around people’s home and work locations\, and how the concentration around the home locations is stronger for people with lower socio-economic status\, whereas higher status users have a higher social connection density around their workplaces. These differences between the poor and the rich can also be observed in certain structural metrics of the ego-networks linked to social capital such as the clustering coefficient and the share of supported ties. This suggests that the structure of social networks around homes provide greater social capital for poor users than for rich users. \nAbout Eszter Bokányi\nEszter Bokányi is a research postdoc in the POPNET project investigating a population-scale longitudinal social network of the Netherlands. She has a background in physics\, and graduated with a PhD from statistical physics at Eötvös Loránd University in Budapest. The topic of her thesis was already rather connected to computational social science\, having investigated a huge database of geolocated Twitter messages.Nowadays\, she is still mostly interested in spatial social networks and their connection to human mobility\, as well as dynamical phenomena such as the spreading of innovations over these social networks.\n \n \n\n\nAbout POPNET Connects\n\n\n\nPOPNET Connects is the seminar series of the Population Scale Network Analysis (POPNET) platform. We invite everyone to join the seminar\, connect with others and get involved in discussion.
URL:https://www.popnet.io/events/popnet-connects-with-eszter-bokanyi/
LOCATION:Online
CATEGORIES:Seminar
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