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DTSTART;TZID=UTC:20240604T140000
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SUMMARY:Introduction to Topological Data Analysis - Bertrand Michel (Ecole Centrale de Nantes)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nTuesday\n  \n4th June 2024\n  \nFrom 2pm to 5pm\n  \nTBD\n\n\n  \nWednesday\n  \n5th June 2024\n  \nFrom 2pm to 5pm\n  \nTBD\n\n\n\nSummary\n\nWith the recent explosion in the amount\, the variety and the dimensionality of available data\, identifying\, extracting and exploiting their underlying structure has become a problem of fundamental importance for data analysis and statistical learning. Topological Data Analysis (TDA) is a recent field whose aim is to uncover\, understand and exploit the topological and geometric structure underlying complex and possibly high dimensional data. It proposes new well-founded mathematical theories and computational tools that can be used independently or in combination with other data analysis and statistical learning techniques. \nOutline\nThe course will be organized around the following topics that play a central role in TDA: \n\nPersistent homology: an introduction (simplicial complexes\, filtrations\, homology\,…).\nMapper\, a topological tool for data exploration and visualization.\nApplications of persistent homology in TDA: clustering\, topological signatures\, statistical aspects\, TDA + Deep Learning\n\nNo specific background in topology is required to follow the course. Practical sessions (with Python\, Jupyter Lab and Gudhi library) will be organized to illustrate the concepts and help the audience to become familiar with the tools of TDA. \n\n\n
URL:https://crest.science/event/introduction-to-topological-data-analysis-bertrand-michel-ecole-centrale-de-nantes/
CATEGORIES:Doctoral Courses,Statistics
ORGANIZER;CN="Sebastien%20Da%20Veiga":MAILTO:sebastien.da-veiga@ensai.fr
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DTSTART;TZID=Europe/Helsinki:20240605T121500
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LAST-MODIFIED:20240529T100529Z
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SUMMARY:Daphne SKANDALIS (University of Copenhagen) - "Motherhood and the Cost of Job Search" coécrit avec Arnaud Philippe"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 05/06/2024\nSalle : 3001 \nDaphne SKANDALIS (University of Copenhagen) – “Motherhood and the Cost of Job Search” coécrit avec Arnaud Philippes” \nCV : After losing their job\, mothers have a 8.9% lower job finding rate than similar women with no children in France. To understand why\, we analyze the job applications sent on a popular online platform for 350\,000 involuntarily unemployed workers. We highlight that mothers send 12.2% fewer job applications than other women and are more selective regarding both wages and non-wage amenities. Moreover\, mothers differ in the timing of their applications: unlike other women\, their rate of applications decreases by 20% in the hours and days when there is no school. We also find that a reform that introduced school on Wednesday in France increased mothers’ applications and narrowed their gap in search timing with other women. Finally\, we interpret our empirical findings in the lenses of a simple search model: beyond their higher opportunity cost of market work\, mothers also experience higher search costs. This novel channel explains about one fifth of unemployed mothers’ lower job finding rate. \nOrganisateurs : \nJulien COMBE (Pôle d’Economie du CREST)\n​​​​​​​​​​​​Yves Le YAOUNQ (Pôle d’Economie du CREST)\n​​​​​​​​​Matias NUNEZ (Pôle d’Economie du CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/daphne-skandalis-university-of-copenhagen-motherhood-and-the-cost-of-job-search-coecrit-avec-arnaud-philippe/
CATEGORIES:Microeconomics,Seminars
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