[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\/AndreaPellandra.jpg” alt=”author name” title_text=”AndreaPellandra” 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 Senior Data Scientist<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”6px|||||” global_colors_info=”{}”]<\/p>\n Andrea Pellandra is a Senior Data Scientist at the Global Data Service, where his work focuses on integrating big data and innovative statistical methods to produce high quality, timely and detailed forced displacement statistics. \u00a0He also leads the curation work for dissemination of forced displacement microdata on the UNHCR Microdata Library.\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 Microdata Library in 2024: Expanding Access to Data While Strengthening Privacy Protections<\/a><\/p>\n A New Discovery Tool for Household Survey Questionnaires on Forced Displacement: Towards Data Quality and Consistency<\/a><\/p>\n The Microdata library in 2023: furthering the commitment to the responsible sharing of microdata<\/a><\/p>\n Unraveling the Future: Data-Driven Action for Climate-Induced Forced Displacement<\/a><\/p>\n The Power of Now: Nowcasting Refugee Population Figures at UNHCR<\/a><\/p>\n Responsible and Timely: Sharing Data on UNHCR’s Microdata Library in 2022<\/a><\/p>\n Predicting refugee flows with big data: a new opportunity or a pipe dream?<\/span><\/a><\/p>\n 2021 for UNHCR\u2019s Microdata Library: What did we achieve?<\/a><\/span><\/p>\nArticles by Andrea<\/h2>\n