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DTSTART;TZID=Europe/Amsterdam:20230508T100000
DTEND;TZID=Europe/Amsterdam:20230508T110000
DTSTAMP:20260503T121954
CREATED:20230501T095640Z
LAST-MODIFIED:20230501T101407Z
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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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DTSTART;TZID=Europe/Amsterdam:20230516T100000
DTEND;TZID=Europe/Amsterdam:20230516T110000
DTSTAMP:20260503T121954
CREATED:20230328T133438Z
LAST-MODIFIED:20230330T075655Z
UID:1063-1684231200-1684234800@www.popnet.io
SUMMARY:Segregation in population scale social networks
DESCRIPTION:Lecture by Eelke Heemskerk and Yuliia Kazmina at the Sociology Department of Utrecht University \n\n\n\nWe propose a social network-aware approach to study socio-economic segregation. The key question is whether patterns of segregation are more pronounced in social networks than the common spatial manifestations of segregation. We conduct a population-scale social network analysis to uncover socio-economic segregation at a comprehensive and highly granular level. At the basis of this analysis is high quality register data consisting of complete information on $\sim$17.2 million registered residents of the Netherlands that are connected through 1.3 billion ties distributed over four distinct tie types. By comparing income assortativity between the social network and the spatial perspective\, we find that the social network structure exhibits  a factor of two higher segregation.  This may signal  that while at a particular  scale of spatial aggregation (e.g.\, the geographical  neighborhood)\, patterns of socio-economic segregation appear to be minimal\,  they in fact persist in the underlying social network structure. Furthermore\, we discover higher socioeconomic segregation in larger cities as opposed to a widespread view of cities as hubs for diverse socioeconomic mixing. A population scale  social network perspective hence offers a way to uncover hitherto “hidden” segregation that extends beyond spatial neighborhoods and infiltrates multiple aspects of human life.
URL:https://www.popnet.io/events/segregation-in-population-scale-social-networks/
CATEGORIES:Lecture
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DTSTART;TZID=Europe/Amsterdam:20230522T110000
DTEND;TZID=Europe/Amsterdam:20230522T120000
DTSTAMP:20260503T121954
CREATED:20230508T112232Z
LAST-MODIFIED:20230516T120449Z
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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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