{"id":941472,"date":"2023-05-24T09:00:00","date_gmt":"2023-05-24T16:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?p=941472"},"modified":"2023-05-24T09:32:28","modified_gmt":"2023-05-24T16:32:28","slug":"research-focus-week-of-may-22-2023","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/blog\/research-focus-week-of-may-22-2023\/","title":{"rendered":"Research Focus: Week of May 22, 2023"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1400\" height=\"264\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1.jpg\" alt=\"Microsoft Research\nResearch Focus 16 | Week of May 22nd, 2023\" class=\"wp-image-941862\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1.jpg 1400w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1-300x57.jpg 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1-1024x193.jpg 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1-768x145.jpg 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-banner-1400x264-1-240x45.jpg 240w\" sizes=\"auto, (max-width: 1400px) 100vw, 1400px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><em class=\"\">Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code\/datasets, new hires and other milestones from across the research community at Microsoft.<\/em><\/p><\/blockquote><\/figure>\n\n\n<aside id=accordion-88b4ffa1-4bd5-4fb9-b7cc-a66aa4e484ea class=\"msr-table-of-contents-block accordion mb-5 pb-0\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse bg-gray-100 mb-0 display-flex justify-content-between\" type=\"button\" data-mount=\"collapse\" data-target=\"#accordion-collapse-88b4ffa1-4bd5-4fb9-b7cc-a66aa4e484ea\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-88b4ffa1-4bd5-4fb9-b7cc-a66aa4e484ea\">\n\t\t<span class=\"msr-table-of-contents-block__label subtitle\">In this article<\/span>\n\t\t<span class=\"msr-table-of-contents-block__current mr-4 text-gray-600 font-weight-normal\" aria-hidden=\"true\"><\/span>\n\t<\/button>\n\t<div id=\"accordion-collapse-88b4ffa1-4bd5-4fb9-b7cc-a66aa4e484ea\" class=\"msr-table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-88b4ffa1-4bd5-4fb9-b7cc-a66aa4e484ea\">\n\t\t<div class=\"accordion-body bg-gray-100 border-top pt-4\">\n\t\t\t<ol class=\"msr-table-of-contents-block__list\">\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#causal-reasoning-and-large-language-models-opening-a-new-frontier-for-causality\" class=\"msr-table-of-contents-block__list-item-link\">Causal Reasoning and Large Language Models: Opening a New Frontier for Causality<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#dna-storage-in-thermoresponsive-microcapsules-for-repeated-random-multiplexed-data-access\" class=\"msr-table-of-contents-block__list-item-link\">DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#human-centered-ai-with-ben-shneiderman-distinguished-university-professor-university-of-maryland-department-of-computer-science\" class=\"msr-table-of-contents-block__list-item-link\">Human-centered AI with Ben Shneiderman, Distinguished University Professor\u2014University of Maryland Department of Computer Science<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t\t<li class=\"msr-table-of-contents-block__list-item\">\n\t\t\t\t\t\t<a href=\"#ai-and-the-new-future-of-work-call-for-proposals\" class=\"msr-table-of-contents-block__list-item-link\">AI and the New Future of Work &#8211; call for proposals<\/a>\n\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t<\/ul>\n\t\t<\/div>\n\t<\/div>\n\t<span class=\"msr-table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<h6 id=\"new-research\" class=\"wp-block-heading has-blue-color has-text-color\">NEW RESEARCH<\/h6>\n\n\n\n<h2 id=\"causal-reasoning-and-large-language-models-opening-a-new-frontier-for-causality\" class=\"wp-block-heading\">Causal Reasoning and Large Language Models: Opening a New Frontier for Causality<\/h2>\n\n\n\n<p><em><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/emrek\/\">Emre K\u0131c\u0131man<\/a>, <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/robertness\/\">Robert Ness<\/a>, <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/amshar\/\">Amit Sharma<\/a>, Chenhao Tan<\/em><\/p>\n\n\n\n<p>Recent advances in scaling large language models (LLMs) have led to breakthroughs in AI capabilities, including writing code in programming languages, generating stories, poems, essays, and other texts, and strong performance in certain reasoning tasks. LLMs can even create plausible explanations for their outputs, and update their conclusions given new evidence.<\/p>\n\n\n\n<p>At the same time, LLMs can make absurd claims and basic errors of logic, mathematics, and complex reasoning, which raises questions about their applicability in societally impactful domains such as medicine, science, law, and policy.<\/p>\n\n\n\n<p>In a new paper: <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/causal-reasoning-and-large-language-models-opening-a-new-frontier-for-causality\/\" target=\"_blank\" rel=\"noreferrer noopener\">Causal Reasoning and Large Language Models: Opening a New Frontier for Causality<\/a>, researchers from Microsoft examine the causal capabilities of LLMs. They find that LLMs, on average, can outperform state-of-the-art causal algorithms in graph discovery and counterfactual inference, and can systematize nebulous concepts like necessity and sufficiency of cause by operating solely on natural language input. They show that by capturing commonsense and domain knowledge about causal mechanisms, LLMs open new frontiers for advancing the research, practice, and adoption of causality. The researchers envision pairing LLMs alongside existing causal methods to reduce the required manual effort that has been a major impediment to widespread adoption of causal analysis.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/causal-reasoning-and-large-language-models-opening-a-new-frontier-for-causality\/\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\t<div class=\"border-bottom border-top border-gray-300 mt-5 mb-5 msr-promo text-center text-md-left alignwide\" data-bi-aN=\"promo\" data-bi-id=\"1002645\">\n\t\t\n\n\t\t<p class=\"msr-promo__label text-gray-800 text-center text-uppercase\">\n\t\t<span class=\"px-4 bg-white display-inline-block font-weight-semibold small\">Spotlight: AI-POWERED EXPERIENCE<\/span>\n\t<\/p>\n\t\n\t<div class=\"row pt-3 pb-4 align-items-center\">\n\t\t\t\t\t\t<div class=\"msr-promo__media col-12 col-md-5\">\n\t\t\t\t<a class=\"bg-gray-300 display-block\" href=\"https:\/\/aka.ms\/research-copilot\/?OCID=msr_researchforum_Copilot_MCR_Blog_Promo\" aria-label=\"Microsoft research copilot experience\" data-bi-cN=\"Microsoft research copilot experience\" target=\"_blank\">\n\t\t\t\t\t<img decoding=\"async\" class=\"w-100 display-block\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2024\/01\/MSR-Chat-Promo.png\" alt=\"\" \/>\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"msr-promo__content p-3 px-5 col-12 col-md\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"h4\">Microsoft research copilot experience<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<p id=\"microsoft-research-copilot-experience\" class=\"large\">Discover more about research at Microsoft through our AI-powered experience<\/p>\n\t\t\t\t\n\t\t\t\t\t\t\t\t<div class=\"wp-block-buttons justify-content-center justify-content-md-start\">\n\t\t\t\t\t<div class=\"wp-block-button\">\n\t\t\t\t\t\t<a href=\"https:\/\/aka.ms\/research-copilot\/?OCID=msr_researchforum_Copilot_MCR_Blog_Promo\" aria-describedby=\"microsoft-research-copilot-experience\" class=\"btn btn-brand glyph-append glyph-append-chevron-right\" data-bi-cN=\"Microsoft research copilot experience\" target=\"_blank\">\n\t\t\t\t\t\t\tStart now\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div><!--\/.msr-promo__content-->\n\t<\/div><!--\/.msr-promo__inner-wrap-->\n\t<\/div><!--\/.msr-promo-->\n\t\n\n\n<h6 id=\"new-research\" class=\"wp-block-heading has-blue-color has-text-color\">NEW RESEARCH<\/h6>\n\n\n\n<h2 id=\"dna-storage-in-thermoresponsive-microcapsules-for-repeated-random-multiplexed-data-access\" class=\"wp-block-heading\">DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access<\/h2>\n\n\n\n<p>As the world generates more and more data, data storage capacity has not kept pace. Traditional long-term storage media such as hard disks or magnetic tape have limited durability and storage density. But DNA has an intrinsic capacity for information storage, durability, and high information density.<\/p>\n\n\n\n<p>In DNA data storage, a large amount of data is stored together, and it is important to perform random access \u2013 selective retrieval of individual data files. This is achieved using polymerase chain reaction (PCR), a molecular process that can exponentially amplify a target file. However, this process can damage the data and cause errors. PCR amplification of multiple files simultaneously creates serious undesired DNA crosstalk. Currently one can only read one file at a time, but not a subset of files in a larger set.<\/p>\n\n\n\n<p>In a recent paper: <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/dna-storage-in-thermoresponsive-microcapsules-for-repeated-random-multiplexed-data-access\/\">DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access<\/a>, researchers from Microsoft and external colleagues report on their work to develop a microcapsule-based PCR random access. By encapsulating individual files in each capsule, DNA files were physically separated, reducing undesired crosstalk. This enabled the simultaneous reading of all 25 files in the pool, without significant errors. The use of microcapsules also allowed DNA files to be recovered after random access, addressing the destructive reads problem and potentially making DNA data storage more economical.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/dna-storage-in-thermoresponsive-microcapsules-for-repeated-random-multiplexed-data-access\/\">Read the paper<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"microsoft-research-talk\" class=\"wp-block-heading has-blue-color has-text-color\">MICROSOFT RESEARCH TALK<\/h6>\n\n\n\n<h2 id=\"human-centered-ai-with-ben-shneiderman-distinguished-university-professor-university-of-maryland-department-of-computer-science\" class=\"wp-block-heading\">Human-centered AI with Ben Shneiderman, Distinguished University Professor\u2014University of Maryland Department of Computer Science<\/h2>\n\n\n\n<p>A new synthesis is emerging that integrates AI technologies with human-computer interaction (HCI) to produce human-centered AI (HCAI). Advocates of HCAI seek to amplify, augment, and enhance human abilities, so as to empower people, build their self-efficacy, support creativity, recognize responsibility, and promote social connections. Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of AI to include HCAI ways of thinking.<\/p>\n\n\n\n<p>In this recent Microsoft Research Talk: <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/human-centered-ai-ensuring-human-control-while-increasing-automation\/\">Human-Centered AI: Ensuring Human Control While Increasing Automation<\/a> Ben Shneiderman discusses his HCAI framework, design metaphors, and governance structures and other ideas drawn from his award-winning new book <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/global.oup.com\/academic\/product\/human-centered-ai-9780192845290?cc=us&lang=en&\" target=\"_blank\" rel=\"noopener noreferrer\">Human-Centered AI<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>. The talk by Shneiderman, a Distinguished University Professor in the University of Maryland Department of Computer Science, is hosted by Mary Czerwinski, Partner Researcher and Research Manager with Microsoft Research.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"yt-consent-placeholder\" role=\"region\" aria-label=\"Video playback requires cookie consent\" data-video-id=\"arOzDH9uALM\" data-poster=\"https:\/\/img.youtube.com\/vi\/arOzDH9uALM\/maxresdefault.jpg\"><iframe aria-hidden=\"true\" tabindex=\"-1\" title=\"Human-Centered AI: Ensuring Human Control While Increasing Automation\" width=\"500\" height=\"281\" data-src=\"https:\/\/www.youtube-nocookie.com\/embed\/arOzDH9uALM?feature=oembed&rel=0&enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><div class=\"yt-consent-placeholder__overlay\"><button class=\"yt-consent-placeholder__play\"><svg width=\"42\" height=\"42\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\" focusable=\"false\"><g fill=\"none\" fill-rule=\"evenodd\"><circle fill=\"#000\" opacity=\".556\" cx=\"21\" cy=\"21\" r=\"21\"\/><path stroke=\"#FFF\" d=\"M27.5 22l-12 8.5v-17z\"\/><\/g><\/svg><span class=\"yt-consent-placeholder__label\">Video playback requires cookie consent<\/span><\/button><\/div><\/div>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 id=\"opportunities\" class=\"wp-block-heading has-blue-color has-text-color\">OPPORTUNITIES<\/h6>\n\n\n\n<h2 id=\"ai-and-the-new-future-of-work-call-for-proposals\" class=\"wp-block-heading\">AI and the New Future of Work &#8211; call for proposals<\/h2>\n\n\n\n<p>The <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/the-new-future-of-work\/\">Microsoft&nbsp;New Future of Work Initiative<\/a> is now accepting proposals to fund academic projects that help maximize the impact of LLMs and related AI systems on how work gets done. This <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/academic-program\/ai-and-the-new-future-of-work\/\">call for proposals<\/a> targets work that specifically supports the use of LLMs in productivity scenarios.&nbsp;The program plans to distribute five $50,000 USD unrestricted awards to support creative research that redefines what work might mean in various contexts<strong>.<\/strong>&nbsp;<\/p>\n\n\n\n<p>For example: how can we ensure these new technologies truly accelerate productivity rather than having effects on the margins; how can LLMs achieve these gains by augmenting human labor; what is the future of a \u2018document\u2019 in a world where natural language can be so easily remixed and repurposed. &nbsp;<\/p>\n\n\n\n<p><strong>Proposals will be accepted through June 5, 2023.<\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-16018d1d wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--3\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/academic-program\/ai-and-the-new-future-of-work\/\">Learn more & apply<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this edition: New research explores the causal ability of LLMs and DNA storage in thermoresponsive capsules; a talk on human-centered AI; and a CFP for funding for LLM productivity research projects from the Microsoft New Future of Work Initiative.<\/p>\n","protected":false},"author":42183,"featured_media":941964,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[],"msr_hide_image_in_river":0,"footnotes":""},"categories":[1],"tags":[],"research-area":[13556,13554,13555,13568],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243984],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-941472","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-blog","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-research-area-search-information-retrieval","msr-research-area-technology-for-emerging-markets","msr-locale-en_us","msr-post-option-blog-homepage-featured"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199565],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[940782],"related-groups":[],"related-projects":[717493,212072],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-960x540.jpg\" class=\"img-object-cover\" alt=\"Microsoft Research Focus 16 | Week of May 22, 2023\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-960x540.jpg 960w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-300x169.jpg 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-1024x576.jpg 1024w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-768x432.jpg 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-1066x600.jpg 1066w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-655x368.jpg 655w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-343x193.jpg 343w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-240x135.jpg 240w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-640x360.jpg 640w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1-1280x720.jpg 1280w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2023\/05\/RF16-blog-hero-1400x788-1.jpg 1400w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/>","byline":"","formattedDate":"May 24, 2023","formattedExcerpt":"In this edition: New research explores the causal ability of LLMs and DNA storage in thermoresponsive capsules; a talk on human-centered AI; and a CFP for funding for LLM productivity research projects from the Microsoft New Future of Work Initiative.","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/941472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/users\/42183"}],"replies":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/comments?post=941472"}],"version-history":[{"count":14,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/941472\/revisions"}],"predecessor-version":[{"id":945690,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/posts\/941472\/revisions\/945690"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/941964"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=941472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/categories?post=941472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/tags?post=941472"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=941472"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=941472"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=941472"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=941472"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=941472"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=941472"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=941472"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=941472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}