{"id":108,"date":"2024-10-14T15:19:35","date_gmt":"2024-10-14T13:19:35","guid":{"rendered":"https:\/\/iamc.unibs.it\/?page_id=108"},"modified":"2024-11-19T13:19:00","modified_gmt":"2024-11-19T12:19:00","slug":"projects","status":"publish","type":"page","link":"https:\/\/iamc.unibs.it\/index.php\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"\n<div class=\"wp-block-group alignfull has-global-padding is-content-justification-center is-layout-constrained wp-container-core-group-is-layout-78f5e5d4 wp-block-group-is-layout-constrained\">\n<p class=\"has-text-align-center has-large-font-size\"><strong>European projects<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"> European Linkage of Initiative from Science to Action in Health <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\">(<strong>Elisah<\/strong>), <strong>EU4Health<\/strong><\/mark>,<br>(2023-2026). The ELISAH project aims to reduce the burden of breast cancer by acting on<br>modifiable risk factors (environmental pollution, built environment, life style).<br><a href=\"https:\/\/elisah.eu\">https:\/\/elisah.eu<\/a><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>Surrogate models identification and validation based on CTM results<\/strong>, <strong>EC JRC<\/strong><\/mark><br>n.C686554.X0, (2018-2019). Artificial intelligence techniques to identify source-receptor models for Europe<br>as a component of an AQ Integrated Assessment Model.<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\">CAMS use case on air quality planning in urban areas using the<strong> <mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\">ATMOSYS-CAMS<br>application ECMWF\/COPERNICUS\/2017\/CAMS_95f_VITO<\/mark><\/strong>, (2017-2018) Assessment of<br>ATMOSYS-CAMS applications in urban areas in the framework of Copernicus activities<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>EU FP7 APPRAISAL<\/strong><\/mark>, Air Pollution Policies foR Assessment of Integrated<br>Strategies At regional Local scales, EU FP7 308395, (2012-2015). Designing an<br>Integrated Assessment Modeling framework for efficient AQ&amp;LC efficient policies.<br>Communicating to key stake-holders and policy-makers the state-of-the-art scientific<br>knowledge on emission abatement assessment.<br><a href=\"https:\/\/cordis.europa.eu\/project\/id\/308395\/reporting\">https:\/\/cordis.europa.eu\/project\/id\/308395\/reporting<\/a><\/p>\n\n\n\n<p class=\"has-text-align-center has-large-font-size\"><strong>National projects<\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>Data science to reduce agri-food impact on air quality in the Po<br>Valley<\/strong> (<strong>AgriAir<\/strong>)<\/mark>. Fondazione Cariplo (IT), (2021-2023)<br><a href=\"http:\/\/www.agriair.it\">http:\/\/www.agriair.it<\/a><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>FANGHI Hub<\/strong><\/mark>. Innovation Hub. POR-FESR Regione Lombardia (IT),<br>(2020-2022). Circular economy of organic waste: air quality, GHG emission, health impact <br>assessment of energy production from sewage sludge.<br><a href=\"https:\/\/www.openinnovation.regione.lombardia.it\/it\/b\/38399\/forme-avanzate-di-gestione-dei-fanghi-di-depurazione-in-un-hub-innovat\">https:\/\/www.openinnovation.regione.lombardia.it\/it\/b\/38399\/forme-avanzate-di-gestione-dei-fanghi-di-depurazione-in-un-hub-innovat<\/a><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\">BIOMASS Hub<\/mark><\/strong>. Innovation Hub. POR-FESR Regione Lombardia (IT), (2019-2022)<br>Circular economy of organic waste: air quality, GHG emission, health impact assessment<br>of biomethane and hydrogen production and use in Lombardy Region.<br><a href=\"https:\/\/www.chimicaverdelombardia.it\/progetto-biomass-hub\/\">https:\/\/www.chimicaverdelombardia.it\/progetto-biomass-hub\/<\/a><\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>ATHLETIC<\/strong> (<strong>Air quaIiTy and Life styles: HeaLTh Cobenefits<\/strong>)<\/mark>, University<br>of Brescia (IT), (2016-2018). Modelling assessment of health (direct and indirect) co-<br>benefits due to behavioral changes (soft mobility, animal protein intake)<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>2015<\/strong> <strong>AIR-ENERGY<\/strong><\/mark>, Open Innovation Regione Lombardia (IT), (2015).<\/p>\n\n\n\n<p class=\"has-text-align-center has-medium-font-size\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-secondary-color\"><strong>VALUTA<\/strong> (<strong>Assessing the impact and the economic value of the<br>Lombardia Region Air Quality Plan<\/strong>)<\/mark>, ARPA Lombardia (IT), (2014-2015). Modelling assessment of the air<br>quality, GHG emissions, health impacts due to the implementation of the Lombardy Region<br>Air Quality plan<\/p>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>European projects European Linkage of Initiative from Science to Action in Health (Elisah), EU4Health,(2023-2026). The ELISAH project aims to reduce the burden of breast cancer by acting onmodifiable risk factors (environmental pollution, built environment, life style).https:\/\/elisah.eu Surrogate models identification and validation based on CTM results, EC JRCn.C686554.X0, (2018-2019). Artificial intelligence techniques to identify source-receptor models &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/iamc.unibs.it\/index.php\/projects\/\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;Projects&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inspiro_hide_title":false,"footnotes":""},"class_list":["post-108","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/comments?post=108"}],"version-history":[{"count":33,"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/108\/revisions"}],"predecessor-version":[{"id":376,"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/pages\/108\/revisions\/376"}],"wp:attachment":[{"href":"https:\/\/iamc.unibs.it\/index.php\/wp-json\/wp\/v2\/media?parent=108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}