{"id":12249,"date":"2022-01-24T14:27:40","date_gmt":"2022-01-24T14:27:40","guid":{"rendered":"https:\/\/direc.dk\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/"},"modified":"2025-11-17T12:17:19","modified_gmt":"2025-11-17T12:17:19","slug":"understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/","title":{"rendered":"Understanding Biases and Diversity of Big Data used for Mobility Analysis"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"12249\" class=\"elementor elementor-12249 elementor-12058\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-30e37e9f elementor-section-height-min-height elementor-section-items-stretch elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-full_width elementor-section-height-default\" data-id=\"30e37e9f\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-59577c4a\" data-id=\"59577c4a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-inner-section elementor-element elementor-element-78293fee elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"78293fee\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-6de937c0\" data-id=\"6de937c0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-674981b2 elementor-widget elementor-widget-heading\" data-id=\"674981b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DIREC-projekt<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d44a41f animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"6d44a41f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Understanding Biases and Diversity of Big Data used for Mobility Analysis<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-83ca80\" data-id=\"83ca80\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-5f944574 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5f944574\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-99834c0\" data-id=\"99834c0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5dbb64ad elementor-widget elementor-widget-heading\" data-id=\"5dbb64ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Resum\u00e9<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-3b3209a4\" data-id=\"3b3209a4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-717bbbaf elementor-widget elementor-widget-text-editor\" data-id=\"717bbbaf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Vores evne til at indsamle, lagre og analysere store m\u00e6ngder data er steget markant i de sidste to \u00e5rtier, og i dag spiller big data en kritisk rolle i st\u00f8rstedelen af statistiske algoritmer. Desv\u00e6rre er vores forst\u00e5else af bias i data ikke fulgt med. Selvom der er sket store fremskridt i udviklingen af nye modeller til at analysere data, har der v\u00e6ret langt mindre fokus p\u00e5 at forst\u00e5 de grundl\u00e6ggende mangler ved big data.<\/p>\n<p>Dette projekt vil kvantificere de bias og usikkerheder, der er forbundet med menneskelig mobilitetsdata indsamlet gennem digitale midler, s\u00e5som smartphone GPS-spor, mobiltelefondata og sociale mediedata.<\/p>\n<p>I sidste ende \u00f8nsker vi at stille sp\u00f8rgsm\u00e5let: er det muligt at rette op p\u00e5 big mobility data gennem en grundl\u00e6ggende forst\u00e5else af, hvordan bias manifesterer sig?<\/p>\n<p><strong>Projektperiode: <\/strong>2022-2024<\/p>\n<p><strong>Projektleder<\/strong><\/p>\n<ul>\n<li>Associate Professor Vedran Sekara<\/li>\n<li>Department of Computer Science, ITU<\/li>\n<li>vsek@itu.dk<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-678435c5 elementor-widget elementor-widget-toggle\" data-id=\"678435c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1731\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1731\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Mere om projektet (p\u00e5 engelsk)<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1731\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1731\"><p><strong>Value creation<\/strong><\/p>\n<p>We expect this project to have a long-lasting scientific and societal impact. The scientific impact of this work will allow us to explicitly model bias in algorithmic systems relying on human mobility data and provide insights into which population are left out. For example, it will allow us to correct for gender, wealth, age, and other types of biases in data globally used for epidemic modeling, urban planning, and many other use\u0002cases.<\/p>\n<p>Further, having methods to debias data will allow us to understand what negative impacts results derived from biased data might have. Given the universal nature of bias, we expect our developed debiasing frameworks will also pave the way for quantitative studies of bias in other realms of data science.<\/p>\n<p>The societal impact will be actionable recommendations provided to policy makers regarding: 1) guidelines for how to safely use mobility datasets in data-driven decision processes, 2) tools (including statistical and interactive visualizations) for quantifying the effects of bias in data, and 3) directions for<br \/>building fairer and equitable algorithm that rely on mobility data.<\/p>\n<p>It is important to address these issues now, because in their \u201cProposal for a Regulation on a European approach for Artificial Intelligence\u201d from April 2021 the European Commission (European Union) outlines potential future regulations for addressing the opacity, complexity, bias, and unpredictability of algorithmic systems.<\/p>\n<p>This document states that high-quality data is essential for algorithmic performance and suggest that any dataset should be subject to appropriate data governance and management practices, including examination in view of possible biases. This implies that in the future businesses and governmental agencies will need to have data-audit methods in place. Our project addresses this gap and provides value by<br \/>developing methodologies to audit mobility data for different types of biases \u2014 producing tools which Danish society and Danish businesses will benefit from.<\/p>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-3b36c1e7 elementor-section-height-min-height elementor-section-items-stretch elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-stretched elementor-section-boxed elementor-section-height-default\" data-id=\"3b36c1e7\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-43a227df\" data-id=\"43a227df\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4e2d0e87 animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"4e2d0e87\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Insights<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-1b59de9e elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1b59de9e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-1a59014b\" data-id=\"1a59014b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-58a27393 elementor-widget__width-initial elementor-widget elementor-widget-eael-post-list\" data-id=\"58a27393\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-post-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"eael-post-list-container default layout-default\"><div class=\"eael-post-list-wrap\"><div class=\"eael-post-list-posts-wrap eael-post-appender eael-post-appender-58a27393\"><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/naar-big-data-svigter-itu-forsker-afsloerer-huller-i-mobilitetsdata\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/08\/Huller-i-mobilitetsdata_nyhed-1024x577.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/naar-big-data-svigter-itu-forsker-afsloerer-huller-i-mobilitetsdata\/\" >N\u00e5r big data svigter: ITU-forsker afsl\u00f8rer huller i mobilitetsdata<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 10. oktober 2024<\/span><\/div><\/div><\/div><\/div><\/div>\n\t\t<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-161a6943\" data-id=\"161a6943\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Form\u00e5let med dette projekt er at kvantificere de bias og usikkerheder, der er forbundet med menneskelig mobilitetsdata indsamlet gennem digitale midler, s\u00e5som smartphone GPS-spor, mobiltelefondata og data fra sociale medier.<\/p>\n","protected":false},"author":3,"featured_media":38905,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[188,212,33,218],"tags":[],"class_list":["post-12249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-afsluttet-projekt","category-dataanalyse-og-algoritmer","category-explore-projekt","category-projekt"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC<\/title>\n<meta name=\"description\" content=\"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC\" \/>\n<meta property=\"og:description\" content=\"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"DIREC\" \/>\n<meta property=\"article:published_time\" content=\"2022-01-24T14:27:40+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-17T12:17:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Susanne Br\u00f8ndberg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet af\" \/>\n\t<meta name=\"twitter:data1\" content=\"Susanne Br\u00f8ndberg\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimeret l\u00e6setid\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/\"},\"author\":{\"name\":\"Susanne Br\u00f8ndberg\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#\\\/schema\\\/person\\\/3fcdff2b9bc83fcb7b642fa67a946f38\"},\"headline\":\"Understanding Biases and Diversity of Big Data used for Mobility Analysis\",\"datePublished\":\"2022-01-24T14:27:40+00:00\",\"dateModified\":\"2025-11-17T12:17:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/\"},\"wordCount\":494,\"publisher\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Understanding-biases_lille-1.jpg\",\"articleSection\":[\"Afsluttet projekt\",\"Dataanalyse og algoritmer\",\"Explore-projekt\",\"Projekt\"],\"inLanguage\":\"da-DK\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/\",\"url\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/\",\"name\":\"Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Understanding-biases_lille-1.jpg\",\"datePublished\":\"2022-01-24T14:27:40+00:00\",\"dateModified\":\"2025-11-17T12:17:19+00:00\",\"description\":\"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#breadcrumb\"},\"inLanguage\":\"da-DK\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#primaryimage\",\"url\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Understanding-biases_lille-1.jpg\",\"contentUrl\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2022\\\/01\\\/Understanding-biases_lille-1.jpg\",\"width\":1920,\"height\":1080},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/direc.dk\\\/da\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Understanding Biases and Diversity of Big Data used for Mobility Analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#website\",\"url\":\"https:\\\/\\\/direc.dk\\\/da\\\/\",\"name\":\"DIREC\",\"description\":\"Digital Research Centre Denmark\",\"publisher\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/direc.dk\\\/da\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"da-DK\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#organization\",\"name\":\"DIREC\",\"url\":\"https:\\\/\\\/direc.dk\\\/da\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2021\\\/02\\\/DIREC_logo_2023_bla.png\",\"contentUrl\":\"https:\\\/\\\/direc.dk\\\/wp-content\\\/uploads\\\/2021\\\/02\\\/DIREC_logo_2023_bla.png\",\"width\":2786,\"height\":786,\"caption\":\"DIREC\"},\"image\":{\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/direc.dk\\\/da\\\/#\\\/schema\\\/person\\\/3fcdff2b9bc83fcb7b642fa67a946f38\",\"name\":\"Susanne Br\u00f8ndberg\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"da-DK\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g\",\"caption\":\"Susanne Br\u00f8ndberg\"},\"url\":\"https:\\\/\\\/direc.dk\\\/da\\\/author\\\/susanne\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC","description":"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/","og_locale":"da_DK","og_type":"article","og_title":"Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC","og_description":"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.","og_url":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/","og_site_name":"DIREC","article_published_time":"2022-01-24T14:27:40+00:00","article_modified_time":"2025-11-17T12:17:19+00:00","og_image":[{"width":1920,"height":1080,"url":"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg","type":"image\/jpeg"}],"author":"Susanne Br\u00f8ndberg","twitter_card":"summary_large_image","twitter_misc":{"Skrevet af":"Susanne Br\u00f8ndberg","Estimeret l\u00e6setid":"4 minutter"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#article","isPartOf":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/"},"author":{"name":"Susanne Br\u00f8ndberg","@id":"https:\/\/direc.dk\/da\/#\/schema\/person\/3fcdff2b9bc83fcb7b642fa67a946f38"},"headline":"Understanding Biases and Diversity of Big Data used for Mobility Analysis","datePublished":"2022-01-24T14:27:40+00:00","dateModified":"2025-11-17T12:17:19+00:00","mainEntityOfPage":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/"},"wordCount":494,"publisher":{"@id":"https:\/\/direc.dk\/da\/#organization"},"image":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#primaryimage"},"thumbnailUrl":"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg","articleSection":["Afsluttet projekt","Dataanalyse og algoritmer","Explore-projekt","Projekt"],"inLanguage":"da-DK"},{"@type":"WebPage","@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/","url":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/","name":"Understanding Biases and Diversity of Big Data used for Mobility Analysis - DIREC","isPartOf":{"@id":"https:\/\/direc.dk\/da\/#website"},"primaryImageOfPage":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#primaryimage"},"image":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#primaryimage"},"thumbnailUrl":"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg","datePublished":"2022-01-24T14:27:40+00:00","dateModified":"2025-11-17T12:17:19+00:00","description":"Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.","breadcrumb":{"@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#breadcrumb"},"inLanguage":"da-DK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/"]}]},{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#primaryimage","url":"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg","contentUrl":"https:\/\/direc.dk\/wp-content\/uploads\/2022\/01\/Understanding-biases_lille-1.jpg","width":1920,"height":1080},{"@type":"BreadcrumbList","@id":"https:\/\/direc.dk\/da\/understanding-biases-and-diversity-of-big-data-used-for-mobility-analysis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/direc.dk\/da\/"},{"@type":"ListItem","position":2,"name":"Understanding Biases and Diversity of Big Data used for Mobility Analysis"}]},{"@type":"WebSite","@id":"https:\/\/direc.dk\/da\/#website","url":"https:\/\/direc.dk\/da\/","name":"DIREC","description":"Digital Research Centre Denmark","publisher":{"@id":"https:\/\/direc.dk\/da\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/direc.dk\/da\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"da-DK"},{"@type":"Organization","@id":"https:\/\/direc.dk\/da\/#organization","name":"DIREC","url":"https:\/\/direc.dk\/da\/","logo":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/direc.dk\/da\/#\/schema\/logo\/image\/","url":"https:\/\/direc.dk\/wp-content\/uploads\/2021\/02\/DIREC_logo_2023_bla.png","contentUrl":"https:\/\/direc.dk\/wp-content\/uploads\/2021\/02\/DIREC_logo_2023_bla.png","width":2786,"height":786,"caption":"DIREC"},"image":{"@id":"https:\/\/direc.dk\/da\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/direc.dk\/da\/#\/schema\/person\/3fcdff2b9bc83fcb7b642fa67a946f38","name":"Susanne Br\u00f8ndberg","image":{"@type":"ImageObject","inLanguage":"da-DK","@id":"https:\/\/secure.gravatar.com\/avatar\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e8d2e418b1a0402f1ebb3e45dc93b7b681ec163ec692e71cb65c848ff80d3ab7?s=96&d=mm&r=g","caption":"Susanne Br\u00f8ndberg"},"url":"https:\/\/direc.dk\/da\/author\/susanne\/"}]}},"dynamic_page_title":"","dynamic_page_description":"","dynamic_page_partners":"","dynamic_page_scientific_impact":"","dynamic_page_people":"","dynamic_page_project_period":"","dynamic_page_funding":"","dynamic_page_publications":"","dynamic_page_cover_image":"","_links":{"self":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/12249","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/comments?post=12249"}],"version-history":[{"count":3,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/12249\/revisions"}],"predecessor-version":[{"id":38953,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/posts\/12249\/revisions\/38953"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/media\/38905"}],"wp:attachment":[{"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/media?parent=12249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/categories?post=12249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/direc.dk\/da\/wp-json\/wp\/v2\/tags?post=12249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}