{"id":444072,"date":"2017-12-06T12:30:13","date_gmt":"2017-12-06T20:30:13","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=444072"},"modified":"2019-05-22T10:12:45","modified_gmt":"2019-05-22T17:12:45","slug":"skies-epitomized","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/skies-epitomized\/","title":{"rendered":"The skies epitomized"},"content":{"rendered":"\t\t\t<div class=\"ms-grid \">\n\t\t\t<div class=\"ms-row\">\n\t\t\t\t\t<div  class=\"l-col-16-24 center\" >\n\t\t<h3><em>Art + Machine Learning showing how we see the sky.<\/em><\/h3><p><em>The Skies Epitomized<\/em> is a series of artworks exploring the essence of the sky from the perspective of humans gazing at it. The works were created in collaboration between <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/www.majapetric.com\/about\/\" target=\"_blank\" rel=\"noopener noreferrer\">Maja Petri\u0107<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, an artist, and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jojic\/\">Neboj\u0161a Joji\u0107<\/a>, a machine learning researcher. The artwork is derived from <em>big data<\/em> through a <em>machine learning algorithm<\/em> that is used to create visual summarizations (epitomes) of sky images people posted on the Internet.<\/p><p>Exhibited: <em>December 2015 \u2013 March 2016<\/em><\/p><p>Maja Petri\u0107 explains the motivation behind the art: <em>I find it fascinating to see a visualization of how we see the world. Neboj\u0161a Joji\u0107\u2019s epitome algorithm actually paints the picture of the sky in the eyes of the Internet community, which includes most of us. I believe that the image of \u201cthe sky in our eyes\u201d can unlock understanding about human relationship towards our origin, and our surroundings.<\/em><\/p><p>Neboj\u0161a Joji\u0107\u2019s epitome model is a generative model of images that assumes that all images of interest come from a large panorama in which individual pixels can change slightly. The individuals are small cutouts with small local perturbations. The panorama is much larger than the images in the set, but much smaller than a tiling of all images would be. The panorama is thus referred to as an epitome of the set, as it captures the variation seen in the data in a miniature form, but also expands on individual images by placing them in the context of other images. The learning algorithm iteratively maps each of the images from the set to the best matching locations in the epitome and then re-estimates the panorama and the variation parameters until it achieves convergence.<\/p><div style=\"height: 20px;\"><\/div><p><iframe loading=\"lazy\" style=\"margin-bottom: 15px;\" src=\"https:\/\/www.youtube.com\/embed\/QSjj4FjuguQ?rel=0\" width=\"1024\" height=\"586\" frameborder=\"0\" align=\"left\" allowfullscreen=\"allowfullscreen\"><\/iframe><br style=\"clear: both;\" \/><\/p><h2>Artist statement<\/h2><p>People have been turning their eyes towards the sky for meaning and guidance since prehistoric times. Our gaze directed towards the sky has shaped astronomy, mythology, religion, agriculture, art, physics, and world-views of cultures across this globe. As an artist, I am interested in the meaning of that gaze at the sky as an element that is both mundane and archetypal for the history of our civilization.<\/p><p>I was guided by the notion that on Earth, we share one sky, but each person looking at it has its\u2019 own experience of it that depends on time and place they are observing it, but mostly it depends on their \u201ceyes\u201d, subjective view. The multitude of mental images of the sky reflects large numbers of perspectives about the space that surrounds us and our place in the universe.<\/p><p>I wonder what is the significance of our way of perceiving the sky and how is that perception of the sky shaping the environment and our behavior towards the surroundings, and in so other people. In this project, we used Neboj\u0161a Joji\u0107\u2019s epitome model to construct the visualization (epitome) of sky images people posted on the Internet. Here, a machine learning technique allows us to go inside the head of the Internet and have a peek of it\u2019s mental image of the sky, and also of the process of constructing that image.<\/p><h2>Epitome of earth skies<\/h2><div id=\"attachment_448269\" style=\"width: 1034px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448269\" class=\"wp-image-448269 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/maja_cover1.jpg\" alt=\"Artist Maja Petri\u0107 uses machine learning algorithms to create a world map of epitomized skies\" width=\"1024\" height=\"541\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/maja_cover1.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/maja_cover1-300x158.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/maja_cover1-768x406.jpg 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><p id=\"caption-attachment-448269\" class=\"wp-caption-text\">A world map of epitomized skies<\/p><\/div><p>The machine learning algorithm sifts through big data for representational images of the sky for each climate and uses it to create visual summarization (epitome) of people\u2019s perception of the sky changing across the globe. It is a visualization of the sky from the human perspective. Each location in the world is covered by the most recognizable kind of sky in that area. It is meant to be reminiscent of the transient nature of the experience people have when they gaze up. The goal is to allow the viewer to grasp the wide range of experiences and memories from these geographic locations.<\/p><h2>Epitome of local skies<\/h2><p>This series epitomizes the online images of the sky retrieved through web search for keywords corresponding to specific times and places. Through these epitomes, we depict the collective view of the sky across several locations in time and space. These views are facilitated by the vast collection of images people around the world have posted on the web, and are thus also a reflection of how the web might \u201ccomprehend\u201d the sky in its boundless variation: Epitomes reveal archetypical skies defined by a global Internet community. With this series we are both inquiring about what people see when they gaze into the sky, and exploring ways in which human views of the sky shape our landscapes.<\/p><p>Maja posed a question: <em>What is a collective perception of the polar sky?<\/em><\/p><p>In search of an answer, we used big data that was processed by a machine learning algorithm to construct a visual summarization (epitome) of the polar sky.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-448035 size-full alignnone\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_2.jpg\" alt=\"visual summarization (epitome) of the polar sky\" width=\"1800\" height=\"562\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_2.jpg 1800w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_2-300x94.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_2-768x240.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_2-1024x320.jpg 1024w\" sizes=\"auto, (max-width: 1800px) 100vw, 1800px\" \/><\/p><p>To create the epitome of the polar sky, the algorithm sifted through big data in search of the images under the keywords sky, skyscape, north+pole+sky, south+pole+sky and used Neboj\u0161a Joji\u0107\u2019s epitome model to extrapolate parts in found images into an epitomized data set representing what people perceive to be a typical polar sky.<\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-448041\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3.jpeg\" alt=\"The skies epitomized graphic\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_3-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p><p>Next to each sky epitome is a photograph of a person gazing at the sky. The photographs are retrieved from the web in the same manner: by web search for a person that represents that location, climate, or time point.<\/p><div id=\"attachment_448230\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448230\" class=\"wp-image-448230 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4.jpeg\" alt=\"\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_4-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448230\" class=\"wp-caption-text\">Epitome of the Polar Skies<\/p><\/div><div id=\"attachment_448233\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448233\" class=\"wp-image-448233 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of woman\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_5-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448233\" class=\"wp-caption-text\">Epitome of the Tropical Monsoon Skies<\/p><\/div><div id=\"attachment_448236\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448236\" class=\"wp-image-448236 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of woman\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_6-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448236\" class=\"wp-caption-text\">Epitome of the Arid Climate Skies<\/p><\/div><div id=\"attachment_448239\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448239\" class=\"wp-image-448239 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of woman with mask\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_7-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448239\" class=\"wp-caption-text\">Epitome of the Moderate, Hot and Humid Skies<\/p><\/div><div id=\"attachment_448242\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448242\" class=\"wp-image-448242 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this cloudy sky graphic, shown alongside a black\/white glamour portrait of woman\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_8-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448242\" class=\"wp-caption-text\">Epitome of the Moderate, Mild and Rainy Skies<\/p><\/div><div id=\"attachment_448245\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448245\" class=\"wp-image-448245 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of man\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_9-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448245\" class=\"wp-caption-text\">Epitome of the Tropical Wet Skies<\/p><\/div><div id=\"attachment_448248\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448248\" class=\"wp-image-448248 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of a fireman\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_10-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448248\" class=\"wp-caption-text\">Epitome of the 9\/11 Skies<\/p><\/div><div id=\"attachment_448251\" style=\"width: 1930px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-448251\" class=\"wp-image-448251 size-full\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11.jpeg\" alt=\"Artist Maja Petri\u0107 used machine learning algorithms to create this sky graphic, shown alongside a portrait of female\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11.jpeg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11-300x169.jpeg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11-768x432.jpeg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11-1024x576.jpeg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/12\/the_skies_epitomized_11-343x193.jpeg 343w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><p id=\"caption-attachment-448251\" class=\"wp-caption-text\">Epitome of the Baghdad Skies<\/p><\/div><p>\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\n<h2>People<\/h2>\n<ul class=\"msr-people-list stripped ms-row no-margin-bottom\">\n<li class=\"xs-col-12-24 s-col-4-24 m-col-4-24 l-col-4-24 margin-bottom-sp3\"><img decoding=\"async\" class=\"avatar avatar-180 photo msr-profile-image \" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/11\/maja_portrait_200.jpg\" alt=\"Portrait of Maja Petri\u0107\" \/>\n<p class=\"body-alt no-margin-bottom\"><a class=\"semibold\" href=\"https:\/\/www.majapetric.com\/about\/\">Maja Petri\u0107<\/a><\/p>\n<p class=\"body-alt no-margin-bottom\">Artist<\/p>\n<\/li>\n<li class=\"xs-col-12-24 s-col-4-24 m-col-4-24 l-col-4-24 margin-bottom-sp3\"><img decoding=\"async\" class=\"avatar avatar-180 photo msr-profile-image \" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/NebojsaJojic.jpg\" alt=\"Portrait of Neboj\u0161a Joji\u0107\" \/>\n<p class=\"body-alt no-margin-bottom\"><a class=\"semibold\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/jojic\/\">Neboj\u0161a Joji\u0107<\/a><\/p>\n<p class=\"body-alt no-margin-bottom\">Principal Researcher<\/p>\n<p class=\"body-alt no-margin-bottom\">Microsoft Research<\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The Skies Epitomized is a series of artworks exploring the essence of the sky from the perspective of humans gazing at it. The works were created in collaboration between Maja Petri\u0107, an artist, and Neboj\u0161a Joji\u0107, a machine learning researcher. The artwork is derived from big data through a machine learning algorithm that is used to create visual summarizations (epitomes) of sky images people posted on the Internet.<\/p>\n","protected":false},"featured_media":444075,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13554],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-444072","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[441990],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/444072","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":74,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/444072\/revisions"}],"predecessor-version":[{"id":589264,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/444072\/revisions\/589264"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/444075"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=444072"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=444072"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=444072"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=444072"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=444072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}