[et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” width=”100%” custom_padding=”|||2px||” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.unhcr.org\/blogs\/wp-content\/uploads\/sites\/48\/2023\/02\/Giulia-del-Panta-scaled.jpeg” alt=”author name” title_text=”Giulia del Panta” align=”center” _builder_version=”4.17.4″ _module_preset=”default” max_width=”200px” border_radii=”on|50%|50%|50%|50%” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” custom_padding=”||40px||false|false” global_colors_info=”{}”]<\/p>\n
UNHCR Associate Data Scientist<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Giulia Del Panta is an Associate Data Scientist at UNHCR, where she utilizes her knowledge in statistics and data science to address complex issues related to forced displacement. Ms. Del Panta holds a Bachelor\u2019s degree in Mathematics and two Master\u2019s degrees in Mathematical Medicine and Biology, and Statistics.\u00a0<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” background_color=”#f4f4f4″ custom_padding=”42px|||||” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”1px|||||” global_colors_info=”{}”]<\/p>\n The Power of Now: Nowcasting Refugee Population Figures at UNHCR<\/a> [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Giulia Del Panta UNHCR Associate Data ScientistGiulia Del Panta is an Associate Data Scientist at UNHCR, where she utilizes her knowledge in statistics and data science to address complex issues related to forced displacement. Ms. Del Panta holds a Bachelor\u2019s degree in Mathematics and two Master\u2019s degrees in Mathematical Medicine and Biology, and Statistics.\u00a0Articles by […]<\/p>\n","protected":false},"author":899,"featured_media":0,"parent":3003,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-5681","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/pages\/5681","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/users\/899"}],"replies":[{"embeddable":true,"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/comments?post=5681"}],"version-history":[{"count":6,"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/pages\/5681\/revisions"}],"predecessor-version":[{"id":9173,"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/pages\/5681\/revisions\/9173"}],"up":[{"embeddable":true,"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/pages\/3003"}],"wp:attachment":[{"href":"https:\/\/www.unhcr.org\/blogs\/wp-json\/wp\/v2\/media?parent=5681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Articles by Giulia<\/h2>\n
Innovation and partnerships to improve socioeconomic data on forced displacement<\/a><\/p>\n