{"id":38,"date":"2026-05-04T11:56:12","date_gmt":"2026-05-04T09:56:12","guid":{"rendered":"https:\/\/ideas.stat.unipd.it\/?page_id=38"},"modified":"2026-07-14T17:06:58","modified_gmt":"2026-07-14T15:06:58","slug":"about","status":"publish","type":"page","link":"https:\/\/ideas.stat.unipd.it\/index.php\/about\/","title":{"rendered":"About"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"38\" class=\"elementor elementor-38\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8e639c3 e-flex e-con-boxed e-con e-parent\" data-id=\"8e639c3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3fbe1ed elementor-widget elementor-widget-html\" data-id=\"3fbe1ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<style>\r\n\r\n.team-section2 {\r\n    max-width: 1000px;\r\n    margin: 50px auto;\r\n}\r\n\r\np {\r\n    font-size: 18px;\r\n        text-align: justify;\r\n}\r\n\r\n@media (min-width: 1025px) {\r\n  .mio-spazio {\r\n    height: 40px;\r\n  }\r\n  \r\n  \r\n  \r\n}\r\n\r\n<\/style>\r\n\r\n<section class=\"about\">\r\n    <div class=\"team-section2\">\r\n    <div class=\"mio-spazio\"><\/div>\r\n    \r\n    \r\n    <h1>About<\/h1>\r\n<center>\r\n    <p>\r\n        IDEAS-Lab brings together researchers in statistics with expertise in\r\n        social statistics, epidemiology, and data science.\r\n        The group aims to contribute to the understanding of complex societal\r\n        challenges through rigorous quantitative methods and interdisciplinary collaboration.\r\n\r\n        The lab is affiliated with the Department of Statistical Sciences at the\r\n        University of Padova and collaborates with national and international institutions.\r\n    <\/p>\r\n<\/section>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03d5d53 elementor-widget elementor-widget-html\" data-id=\"03d5d53\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<!DOCTYPE html>\r\n<html lang=\"it\">\r\n<head>\r\n<meta charset=\"UTF-8\">\r\n<title>The Team<\/title>\r\n\r\n<style>\r\nbody {\r\n    font-family: Arial, sans-serif;\r\n    background-color: #f2f2f2;\r\n}\r\n\r\n.team-section {\r\n    max-width: 1000px;\r\n    margin: 50px auto;\r\n}\r\n\r\n.team-section h2 {\r\n    font-size: 48px;\r\n    margin-bottom: 40px;\r\n}\r\n\r\n.team-member {\r\n    display: flex;\r\n    align-items: flex-start;\r\n    gap: 25px;\r\n    margin-bottom: 60px;\r\n}\r\n\r\n.team-member img {\r\n    width: 240px;\r\n    height: 240px;\r\n    object-fit: cover;\r\n}\r\n\r\n\/* INFO AREA *\/\r\n.member-info h2 {\r\n    margin: 0;\r\n    font-size: 24px;\r\n}\r\n\r\n\/* HEADER nome + icone *\/\r\n.person-header {\r\n    display: flex;\r\n    justify-content: space-between;\r\n    align-items: center;\r\n    flex-wrap: wrap;\r\n    margin-bottom: 8px; \/* spazio tra header e testo *\/\r\n}\r\n\r\n.social-icons {\r\n    display: flex;\r\n    gap: 10px;\r\n    margin-top: 0;\r\n}\r\n\r\n.social-icons a {\r\n    width: 28px;\r\n    height: 28px;\r\n    display: flex;\r\n    justify-content: center;\r\n    align-items: center;\r\n    background: #d9eef7;\r\n    border-radius: 6px;\r\n    color: black;\r\n    text-decoration: none;\r\n}\r\n\r\n\/* TESTO *\/\r\n.member-info p {\r\n    margin: 12px 0 0 0;\r\n    font-size: 16px;\r\n    color: #555;\r\n    text-align: justify;\r\n}\r\n\r\n\/* \ud83d\udcf1 MOBILE *\/\r\n@media (max-width: 768px) {\r\n\r\n    .team-member {\r\n        flex-direction: column;\r\n        align-items: center;\r\n        text-align: center;\r\n    }\r\n\r\n    .team-member img {\r\n        width: 180px;\r\n        height: 180px;\r\n    }\r\n\r\n    .person-header {\r\n        flex-direction: column;\r\n        align-items: center;\r\n        gap: 6px;\r\n    }\r\n\r\n    .social-icons {\r\n        justify-content: center;\r\n    }\r\n}\r\n<\/style>\r\n\r\n<\/head>\r\n<body>\r\n\r\n<div class=\"team-section\">\r\n\r\n    <h1>The Team<\/h1>\r\n\r\n    <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/06\/FotoBoccuzzo2.jpg\" alt=\"Giovanna Boccuzzo\">\r\n\r\n        <div class=\"member-info\">\r\n          \r\n            <div class=\"person-header\">\r\n\r\n      <h2>Giovanna Boccuzzo<\/h2>\r\n\r\n<div class=\"social-icons\">\r\n    <a href=\"https:\/\/homes.stat.unipd.it\/giovannaboccuzzo\/en\/home-2\/\"\r\n       target=\"_blank\"\r\n       rel=\"noopener noreferrer\">\r\n        <i class=\"fas fa-circle-user\"><\/i>\r\n    <\/a>\r\n    <a href=\"https:\/\/scholar.google.com\/citations?user=QdpuqqYAAAAJ&hl=it&oi=ao\"\r\n       target=\"_blank\"\r\n       rel=\"noopener noreferrer\">\r\n        <i class=\"fas fa-graduation-cap\"><\/i>\r\n    <\/a>\r\n    <a href=\"https:\/\/orcid.org\/0000-0003-2143-7730\"\r\n       target=\"_blank\"\r\n       rel=\"noopener noreferrer\">\r\n        <i class=\"fab fa-orcid\"><\/i>\r\n    <\/a>\r\n    <a href=\"https:\/\/www.linkedin.com\/in\/giovanna-boccuzzo-78053041\/\"\r\n       target=\"_blank\"\r\n       rel=\"noopener noreferrer\">\r\n        <i class=\"fab fa-linkedin\"><\/i>\r\n    <\/a>\r\n    <a href=\"mailto:giovanna.boccuzzo@unipd.it\">\r\n        <i class=\"fas fa-envelope\"><\/i>\r\n    <\/a>\r\n<\/div>\r\n\r\n<\/div>\r\n            <p>Giovanna Boccuzzo is Full Professor of Social Statistics at the University of Padova. Her research focuses on social and health statistics, with particular expertise in frailty, healthy ageing, composite indicators, and causal inference. She has been Scientific Officer for the University of Padua within the AGE-IT national partnership and co-leads Spoke 4 on trajectories for active and healthy ageing. Her work integrates advanced statistical methods, social epidemiology, and health data analysis to study risk factors and inequalities across the life course. She has extensively published on frailty measurement, multimorbidity, and ageing-related health outcomes.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n\r\n    <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/05\/Silan2.jpg\" alt=\"Margherita Silan\">\r\n\r\n        <div class=\"member-info\">\r\n                        <div class=\"person-header\">\r\n\r\n      <h2>Margherita Silan<\/h2> <div class=\"social-icons\">\r\n        <a href=\"https:\/\/sites.google.com\/view\/margheritasilan\" target=\"_blank\"><i class=\"fas fa-circle-user\"><\/i><\/a>\r\n                <a href=\"https:\/\/github.com\/SilanMarghe\" target=\"_blank\"><i class=\"fab fa-github\"><\/i><\/a>\r\n        <a href=\"https:\/\/scholar.google.com\/citations?hl=it&user=kqVTmdoAAAAJ\" target=\"_blank\" ><i class=\"fas fa-graduation-cap\"><\/i><\/a>\r\n        <a href=\"https:\/\/orcid.org\/0000-0001-5541-0603\" target=\"_blank\"><i class=\"fab fa-orcid\"><\/i><\/a>\r\n        <a href=\"https:\/\/www.linkedin.com\/in\/margherita-silan-432747b5\/\" target=\"_blank\"><i class=\"fab fa-linkedin\"><\/i><\/a>\r\n        <a href=\"mailto:margherita.silan@unipd.it\"><i class=\"fas fa-envelope\"><\/i><\/a>\r\n    <\/div>\r\n\r\n<\/div>\r\n            \r\n            <p>Margherita Silan is a Tenure Track Researcher in Social Statistics at the University of Padova.\r\n\r\nHer research interests regard methods on constructing composite indicators, based both on classical and on multi-criteria approaches, such as Partially Ordered Set Theory, applied in particular to the evaluation of gender equality and for the identification of frail subjects and causal inference approaches, applied in particular to the study of neighbourhood effects on health.\r\n\r\nShe is Principal Investigator of a FIS3 project called <a href=\"https:\/\/www.stat.unipd.it\/en\/diamond\" target=\"_blank\">\r\nDIAMOND\r\n<\/a> (Data Integration Approaches for a Multidimensional hOlistic representation of Neighbourhood Deprivation) funded by the Italian Ministry of University and Research.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n    \r\n      <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/06\/Pietro2.jpg\" alt=\"Pietro Belloni\">\r\n\r\n        <div class=\"member-info\">\r\n                        <div class=\"person-header\">\r\n\r\n      <h2>Pietro Belloni<\/h2> <div class=\"social-icons\">\r\n        <a href=\"https:\/\/pietrobelloni.github.io\/\" target=\"_blank\"><i class=\"fas fa-circle-user\"><\/i><\/a>\r\n        <a href=\"https:\/\/github.com\/pietrobelloni\" target=\"_blank\"><i class=\"fab fa-github\"><\/i><\/a>\r\n        <a href=\"https:\/\/scholar.google.com\/citations?hl=it&user=QovgcSIAAAAJ\" target=\"_blank\" ><i class=\"fas fa-graduation-cap\"><\/i><\/a>\r\n        <a href=\"https:\/\/orcid.org\/0000-0002-8279-5876\" target=\"_blank\"><i class=\"fab fa-orcid\"><\/i><\/a>\r\n        <a href=\"https:\/\/www.linkedin.com\/in\/pietrobelloni\/\" target=\"_blank\"><i class=\"fab fa-linkedin\"><\/i><\/a>\r\n        <a href=\"mailto:pietro.belloni@unipd.it\"><i class=\"fas fa-envelope\"><\/i><\/a>\r\n    <\/div>\r\n\r\n<\/div>\r\n            \r\n            <p>Pietro Belloni is a researcher in statistics at the University of Padova. He works mainly on social, epidemiological and medical data, using both statistics and machine learning. He also has some expertise in pharmacovigilance and natural language processing.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n    \r\n      <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/05\/Maurizio2.jpg\" alt=\"Maurizio Nicolaio\">\r\n\r\n\r\n        <div class=\"member-info\">\r\n                        <div class=\"person-header\">\r\n\r\n      <h2>Maurizio Nicolaio<\/h2> <div class=\"social-icons\">\r\n        <a href=\"https:\/\/github.com\/maurizionicolaio\" target=\"_blank\"><i class=\"fab fa-github\"><\/i><\/a>\r\n        <a href=\"https:\/\/scholar.google.com\/citations?hl=it&user=dN3rnwwAAAAJ\" target=\"_blank\" ><i class=\"fas fa-graduation-cap\"><\/i><\/a>\r\n        <a href=\"https:\/\/orcid.org\/0009-0004-8702-4976\" target=\"_blank\"><i class=\"fab fa-orcid\"><\/i><\/a>\r\n        <a href=\"https:\/\/www.linkedin.com\/in\/maurizio-nicolaio-a4324b386\/\" target=\"_blank\"><i class=\"fab fa-linkedin\"><\/i><\/a>\r\n        <a href=\"mailto:maurizio.nicolaio@unipd.it\"><i class=\"fas fa-envelope\"><\/i><\/a>\r\n    <\/div>\r\n\r\n<\/div>\r\n            \r\n            <p>Maurizio Nicolaio is a research fellow at the Department of Statistical Sciences of the University of Padova.\r\nHis research interests regard methods on constructing composite indicators, social and health statistics, with a particular focus on frailty measurement and healthy ageing.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n    \r\n    \r\n      <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/05\/Annalisa2.jpg\" alt=\"Annalisa Donno\">\r\n\r\n\r\n        <div class=\"member-info\">\r\n                        <div class=\"person-header\">\r\n\r\n      <h2>Annalisa Donno<\/h2> <div class=\"social-icons\">\r\n        <a href=\"https:\/\/www.stat.unipd.it\/ricerca\/donno-annalisa\" target=\"_blank\"><i class=\"fas fa-circle-user\"><\/i><\/a>\r\n\r\n        <a href=\"mailto:https:\/\/www.stat.unipd.it\/ricerca\/donno-annalisa\"><i class=\"fas fa-envelope\"><\/i><\/a>\r\n    <\/div>\r\n\r\n<\/div>\r\n            \r\n            <p>Annalisa Donno is a researcher in social statistics and demography at the University of Padova. Her work focuses on ageing, frailty, health, and well-being in later life. Her studies investigate frailty by considering the combined role of medical, physical, and social factors. Drawing on administrative and survey data, she applies quantitative methods to analyse complex ageing processes, health and social inequalities, and the interplay between clinical conditions, social resources, and well-being among older adults.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n    \r\n    \r\n      <div class=\"team-member\">\r\n        <img decoding=\"async\" src=\"https:\/\/ideas.stat.unipd.it\/wp-content\/uploads\/2026\/06\/Erika3.jpg\" alt=\"Erika Banzato\">\r\n\r\n\r\n        <div class=\"member-info\">\r\n                        <div class=\"person-header\">\r\n\r\n      <h2>Erika Banzato<\/h2> <div class=\"social-icons\">\r\n          <a href=\"https:\/\/www.stat.unipd.it\/ricerca\/erika-banzato\" target=\"_blank\"><i class=\"fas fa-circle-user\"><\/i><\/a>\r\n        <a href=\"https:\/\/github.com\/ebanzato\" target=\"_blank\"><i class=\"fab fa-github\"><\/i><\/a>\r\n        <a href=\"https:\/\/scholar.google.com\/citations?user=w_CJ6QIAAAAJ&hl=it&oi=ao\" target=\"_blank\"><i class=\"fas fa-graduation-cap\"><\/i><\/a>\r\n        <a href=\"https:\/\/orcid.org\/0000-0002-2137-9166\" target=\"_blank\"><i class=\"fab fa-orcid\"><\/i><\/a>\r\n        <a href=\"https:\/\/www.linkedin.com\/in\/erika-banzato-48321ab7\/\" target=\"_blank\"><i class=\"fab fa-linkedin\"><\/i><\/a>\r\n        <a href=\"mailto:erika.banzato@unipd.it\"><i class=\"fas fa-envelope\"><\/i><\/a>\r\n    <\/div>\r\n\r\n<\/div>\r\n            \r\n            <p>Erika Banzato is a statistician at the University of Padova. Her research focuses on multimorbidity and frailty, with particular interest in understanding how these two complex conditions interact and evolve throughout later life. She works on the development and application of novel statistical and methodological approaches for the study of population health and ageing. Her research also explores sex differences in health, investigating how patterns of multimorbidity and frailty manifest differently in men and women.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n\r\n<\/div>\r\n\r\n<\/body>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n<\/html>\r\n\r\n\r\n\r\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>About IDEAS-Lab brings together researchers in statistics with expertise in social statistics, epidemiology, and data science. The group aims to contribute to the understanding of<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-38","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/pages\/38","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/comments?post=38"}],"version-history":[{"count":235,"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":1315,"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/pages\/38\/revisions\/1315"}],"wp:attachment":[{"href":"https:\/\/ideas.stat.unipd.it\/index.php\/wp-json\/wp\/v2\/media?parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}