{"id":3420,"date":"2021-06-14T16:24:35","date_gmt":"2021-06-14T14:24:35","guid":{"rendered":"https:\/\/datascience.unifi.it\/?page_id=3420"},"modified":"2022-10-12T16:32:52","modified_gmt":"2022-10-12T14:32:52","slug":"seminar","status":"publish","type":"page","link":"https:\/\/datascience.unifi.it\/index.php\/seminar\/","title":{"rendered":"Seminar"},"content":{"rendered":"<h2><strong>Seminars\u00a0<\/strong><\/h2>\n<div class=\"abcfslFiltersCntr abcfslFItemMLR20  abcfslMB50\"><div class=\"abcfslFItemsCntr_3511 abcfslFItemsCntr  abcfslFItemColor3\"><ul id=\"abcfslCAT\" class=\"abcfslTxtCenter\"><li><a class=\"fSelected  abcfslFActive2 abcfslUpper\" href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/?staff-category=inter-connect-seminars\">InterConnect Seminar Series<\/a><\/li><li><a class=\"abcfslUpper\" href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/?staff-category=d2-seminar-series\">D2 Seminar Series<\/a><\/li><li><a class=\"abcfslUpper\" href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/?staff-category=sg-seminar-series\">SG Seminar Series<\/a><\/li><li><a class=\"abcfslUpper\" href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/?staff-category=young-res\">YR Seminar Series<\/a><\/li><li><a class=\"abcfslUpper\" href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/?staff-category=rec\">Recordings<\/a><\/li><\/ul><\/div><\/div><div class=\"abcfslGridCntr  abcfslMLRAuto slv409_t3529_L abcfslGridCntr_3529\"><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2023\/10\/solo_rosso_small-300x275.jpeg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><p><strong>\u201cInterConnect Seminar Series\u201d<\/strong> is a new seminar series organized by the Florence Center for Data Science designed to promote connections and collaborations between the Center and universities, and other data science centers around the world.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/04\/scutari-200x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar:\u00a0Marco Scutari<\/h3>\n<h6>24th OF may 2024, FROM 12.00 am &#8211; 1.00 pM:<\/h6>\n<p><strong>Dr. Marco Scutari<\/strong>, senior researcher at Istituto Dalle Molle di Studi sull\u2019Intelligenza Artificiale (IDSIA, Switzerland), presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cCausal Modelling in Space and Time\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/webinar-marco-scutari\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/03\/Di-Guilmi-214x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar:\u00a0Corrado Di Guilmi<\/h3>\n<h6>1oth OF may 2024, FROM 2.00 &#8211; 3.00 pM:<\/h6>\n<p><strong>Prof. Corrado Di Guilmi<\/strong>, associate professor at the University of Florence, presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cDoes the supply network shape the firm size distribution? The Japanese case\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/webinar-corrado-di-guilmi\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/12\/annafoto-1-259x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Anna Monreale<\/h3>\n<h6>28th OF march 2024, FROM 12.00 am &#8211; 1.00 pM:<\/h6>\n<p><strong>Prof. Anna Monreale<\/strong>, associate professor at the Computer Science Department of the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cInterplay between Privacy and Explainable AI\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-anna-monreale\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/02\/Silvia-Liverani-pic-2021-1-200x300.jpeg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Silvia Liverani<\/h3>\n<h6>15th OF march 2024, FROM 11.00 &#8211; 12.00 aM:<\/h6>\n<p><strong>Prof. Silvia Liverani<\/strong>, Reader in Statistics, and Head of the Research Centre in Probability, Statistics and Data Science in the School of Mathematical Sciences at Queen Mary University of London, presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cBayesian modelling for spatially misaligned health areal data\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-silvia-liverani\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/02\/Lagona-223x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Francesco Lagona<\/h3>\n<h6>23rd OF February 2024, FROM 12.00 AM &#8211; 1.00 PM:<\/h6>\n<p><strong>Prof. Francesco Lagona<\/strong>, professor of statistics at the University of Roma Tre where he teaches statistical modelling and environmental statistics,\u00a0presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cNonhomogeneous hidden semi-Markov models for environmental toroidal data\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-francesco-lagona\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2024\/01\/lorenzo_tamellini-214x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Lorenzo Tamellini<\/h3>\n<h6>12th OF January 2024, FROM 2.30 &#8211; 3.30 PM:<\/h6>\n<p><strong>Dr. Lorenzo Tamellini<\/strong>, senior researcher at the Institute for Applied Mathematics and Information Technologies \u201cEnrico Magenes\u201d, presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cA multi-fidelity method for uncertainty quantification in engineering problems\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-lorenzo-tamellini\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2023\/10\/152_l_res_bw-300x295.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Flavio Soares Correa da Silva<\/h3>\n<h6>24th OF november 2023, FROM 4 &#8211; 5 PM:<\/h6>\n<p><strong>Flavio Soares Correa da Silva<\/strong>, Associate Professor in the Department of Statistics and Mathematichs at University of S\u00e3o Paulo (Brazil), presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cGeneral Artificial Intelligence can be OK, Artificial General Intelligence cannot\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-flavio-soares-correa-da-silva\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2023\/10\/headshot-200x300.jpeg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Qiwei Li<\/h3>\n<h6>10th OF november 2023, FROM 4 &#8211; 5 PM:<\/h6>\n<p><strong>Dr. Qiwei Li<\/strong>, Assistant Professor of Statistics in the Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, Texas, United States. presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cWhen statistics meets AI: Bayesian modeling of spatial biomedical data\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-qiwei-li\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2023\/10\/bio.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Eric Chi<\/h3>\n<h6>27th OF october 2023, FROM 4 &#8211; 5.30 PM:<\/h6>\n<p><strong>Dr. Eric Chi<\/strong>, Associate Professor in the Department of Statistics at Rice University, presented a seminar on<\/p>\n<h6><span class=\"JsGRdQ\">\u201cProximal MCMC for Approximate Bayesian Inference of Constrained and Regularized Estimation\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/5667\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><div class=\"abcfslItemCntrLst abcfslPadBMB30 abcfClrFix\"><div class=\"abcfslLstCol abcfslLstCol-2 abcfslImgColLst\"><div class=\"abcfslImgCntrLst abcfslMLRPc\"><img decoding=\"async\"  src=\"https:\/\/datascience.unifi.it\/wp-content\/uploads\/2023\/10\/170810_Dan_Kowal-0007-219x300.jpg\" style=\"aspect-ratio : 1 \/ 1; object-fit: cover; width: 100%;\" alt=\"\" itemprop=\"image\"  \/><\/div><\/div><div class=\"abcfslLstCol abcfslLstCol-10 abcfslTxtColLst\"><div class=\"abcfslTxtCntrLst  abcfslPadLPc5\"><div class=\"CE-F2\"><h3>InterConnect webinar: Daniel Kowal<\/h3>\n<h6>13th OF october 2023, FROM 4 &#8211; 5.30 PM:<\/h6>\n<p><strong>Dr. Dan Kowal<\/strong>, Dobelman Family Assistant Professor in the Department of Statistics at Rice University, presented a semin &#8230;<\/p>\n<h6><span class=\"JsGRdQ\">\u201cNonparametric Copula Models for Multivariate, Mixed, and Missing Data\u201d<\/span><\/h6>\n<p><a href=\"https:\/\/datascience.unifi.it\/index.php\/event\/interconnect-webinar-daniel-kowal\/\">Click here<\/a> to access the abstract of the seminar<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<div class=\"abcfslGridCntr  abcfslMLRAuto slv409_t4724_L abcfslGridCntr_4724\"><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Seminars\u00a0 &nbsp;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-3420","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3420","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=3420"}],"version-history":[{"count":12,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3420\/revisions"}],"predecessor-version":[{"id":4728,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3420\/revisions\/4728"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=3420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}