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DTSTART:20260329T010000
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DTSTART;TZID=Europe/Helsinki:20260331T100000
DTEND;TZID=Europe/Helsinki:20260331T110000
DTSTAMP:20260710T020347
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LAST-MODIFIED:20260327T172245Z
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SUMMARY:Brianne DUBOIS (ENS-PSL) - "A Computational Sociology of Cultural Inequalities"
DESCRIPTION:Sociology Seminar \nTime: 10:00 am – 11:00 am\nDate: 31th of March\nOnline : Zoom https://liu-se.zoom.us/j/66781575458 \nBrianne DUBOIS (ENS-PSL) – “A Computational Sociology of Cultural Inequalities” \nAbstract :  \nThis talk presents my research in computational sociology\, which examines cultural inequalities through case studies of French contemporary art and beauty labor among hairdressers and interior designers. More specifically\, I will focus on a published study entitled “Public and Private French Contemporary Art Museums Facing International Dynamics.” In a country marked by a strong public cultural tradition\, the rapid expansion of private art foundations over the past two decades raises important questions about the reconfiguration of institutional roles and hierarchies in the French contemporary art world. Drawing on an original dataset covering the programming of four major institutions in the Paris region between 2016 and 2020\, I analyze how public and private organizations position themselves within national and international artistic fields. The findings identify three main institutional functions: contributing to the reproduction of international hierarchies in the French context\, consolidating established French artistic reputations\, and—more marginally—certifying emerging artists. The results also highlight a clear divide between public and private institutions. While public museums navigate both national and international arenas\, private foundations primarily act as importers of already internationally recognized artists. \nOrganizers: \nEtienne OLLION (Pôle sociologie CREST)\n \nPaola TUBARO (Pôle sociologie CREST) \nNicolas JULIA (Pôle sociologie CREST) \nPatrick PRÄG (Pôle sociologie CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/brianne-dubois-ens-psl-a-computational-sociology-of-cultural-inequalities/
CATEGORIES:Seminars,Sociology
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DTSTART;TZID=Europe/Helsinki:20260331T121500
DTEND;TZID=Europe/Helsinki:20260331T133000
DTSTAMP:20260710T020347
CREATED:20260121T143506Z
LAST-MODIFIED:20260313T102514Z
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SUMMARY:Amelie SCHIPROWSKI (University of Bonn) - "Reducing Mandatory Job Applications in Unemployment Insurance"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: March\, 31th\nRoom : 3001 \n  \nAmelie SCHIPROWSKI  “Reducing Mandatory Job Applications in Unemployment Insurance” \nAbstract :  \nIn this paper\, we estimate the effects of a large-scale reduction in job applications by unemployment benefit recipients. We exploit a policy experiment in Switzerland\, where a subset of public employment services significantly reduced the number of required applications and the use of vacancy referrals. Using detailed administrative data and difference-in-differences designs\, we find that the policy change led to an increase of about 6% in the average duration of unemployment spells. Exploiting additional variation in caseworkers’ pre-reform use of vacancy referrals\, we show that the reduction in application quantity (search requirement) and the increase in selectivity (vacancy referrals) each account for approximately half of the overall effect. Based on these estimates\, we back out an elasticity of job finding to applications of approximately 0.13. Finally\, the policy change led to an average 2% increase in reemployment earnings\, primarily driven by the reduced use of vacancy referrals. The findings suggest that policies restricting individuals’ selectivity in job search involve significant trade-offs between unemployment duration and reemployment earnings. \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-sites-google-com-site-amelieschiprowski/
CATEGORIES:Applied Seminar,Seminars
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DTSTART;TZID=Europe/Helsinki:20260331T140000
DTEND;TZID=Europe/Helsinki:20260331T153000
DTSTAMP:20260710T020347
CREATED:20260223T092101Z
LAST-MODIFIED:20260316T091323Z
UID:18820-1774965600-1774971000@crest.science
SUMMARY:Krishna BALASUBRAMANIAN (UC DAVIS)- Finite-Particle Convergence of (Regularized) Stein Variational Gradient Descent
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 31th March\nPlace: 3001 \n  \nKrishna BALASUBRAMANIAN (UC DAVIS)- Finite-Particle Convergence of (Regularized) Stein Variational Gradient Descent \n  \n Abstract:  \nStein Variational Gradient Descent (SVGD) is a widely used particle-based algorithm for approximate Bayesian inference. To address the intrinsic bias of SVGD\, a regularized variant (R-SVGD) has been proposed that applies a resolvent-type preconditioner to the kernelized Wasserstein gradient. In this talk\, I present recent results establishing explicit non-asymptotic finite-particle convergence guarantees for both SVGD and R-SVGD. The analysis is based on an entropy method for interacting particle systems\, showing that the time derivative of the relative entropy between the joint law of the particles and the product target measure decomposes into a dominant negative term proportional to the number of particles times the expected squared Kernelized Stein Discrepancy (KSD²)\, together with a smaller positive correction. This structure yields finite-particle convergence rates of order (N^{-1/2}) in KSD and Fisher information for SVGD and R-SVGD respectively. Under mild assumptions on the kernel and the target potential\, the resulting bounds grow only polynomially with the dimension. The analysis further yields Wasserstein convergence rates for both algorithms\, as well as marginal convergence and long-time propagation of chaos for the interacting particle system. \n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \n  \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/krishna-balasubramanian-uc-davis-tba/
CATEGORIES:Seminars,Statistics
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