{"id":952875,"date":"2023-07-07T13:00:00","date_gmt":"2023-07-07T20:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?p=952875"},"modified":"2023-07-07T10:28:29","modified_gmt":"2023-07-07T17:28:29","slug":"research-focus-week-of-july-3-2023","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/research-focus-week-of-july-3-2023\/","title":{"rendered":"Research Focus: Week of July 3, 2023"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"193\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2-1024x193.jpg\" alt=\"Microsoft Research Focus 19 | Week of July 3, 2023\" class=\"wp-image-953568\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2-1024x193.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2-300x57.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2-768x145.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2-240x45.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-banner-1400x264-2.jpg 1400w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/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-99977763-32f5-4618-88db-0fc874a99aaa 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-99977763-32f5-4618-88db-0fc874a99aaa\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-99977763-32f5-4618-88db-0fc874a99aaa\">\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-99977763-32f5-4618-88db-0fc874a99aaa\" class=\"msr-table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-99977763-32f5-4618-88db-0fc874a99aaa\">\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=\"#the-best-of-both-worlds-unlocking-the-potential-of-hybrid-work-for-software-engineers\" class=\"msr-table-of-contents-block__list-item-link\">The Best of Both Worlds: Unlocking the Potential of Hybrid Work for Software Engineers<\/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=\"#prompt-engineering-improving-our-ability-to-communicate-with-llms\" class=\"msr-table-of-contents-block__list-item-link\">Prompt Engineering: Improving our ability to communicate with LLMs<\/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=\"#overwatch-learning-patterns-in-code-edit-sequences\" class=\"msr-table-of-contents-block__list-item-link\">Overwatch: Learning patterns in code edit sequences<\/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=\"#qlib-updates-harness-adaptive-market-dynamics-modeling-and-reinforcement-learning-to-address-key-challenges-in-financial-markets\" class=\"msr-table-of-contents-block__list-item-link\">Qlib updates harness adaptive market dynamics modeling and reinforcement learning to address key challenges in financial markets<\/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 class=\"wp-block-heading has-blue-color has-text-color\" id=\"new-research\">NEW RESEARCH<\/h6>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-best-of-both-worlds-unlocking-the-potential-of-hybrid-work-for-software-engineers\">The Best of Both Worlds: Unlocking the Potential of Hybrid Work for Software Engineers<\/h2>\n\n\n\n<p>The era of hybrid work has created new challenges and opportunities for developers. Their ability to choose where they work and the scheduling flexibility that comes with remote work can be offset by the loss of social interaction, reduced collaboration efficiency and difficulty separating work time from personal time. Companies must be equipped to maintain a successful and efficient hybrid workforce by accentuating the positive elements of hybrid work, while also addressing the challenges.<\/p>\n\n\n\n<p>In a new study: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-best-of-both-worlds-unlocking-the-potential-of-hybrid-work-for-software-engineers\/\">The Best of Both Worlds: Unlocking the Potential of Hybrid Work for Software Engineers<\/a>, researchers from Microsoft aim to identify which form of work \u2013 whether fully in office, fully at home, or blended \u2013 yields the highest productivity and job satisfaction among developers. They analyzed over 3,400 survey responses conducted across 28 companies in seven countries, in partnership with Vista Equity Partners, a leading global asset manager with experience investing in software, data, and technology-enabled organizations.<\/p>\n\n\n\n<p>The study found that developers face many of the same challenges found in other types of hybrid workplaces. The researchers provide recommendations for addressing these challenges and unlocking more productivity while improving employee satisfaction.<\/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-1 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--fe127745dfa5cb20db4e6ad8fe9318cc\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-best-of-both-worlds-unlocking-the-potential-of-hybrid-work-for-software-engineers\/\">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\" 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:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/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 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\" class=\"btn btn-brand glyph-append glyph-append-chevron-right\" aria-label=\"Microsoft research copilot experience\" 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 class=\"wp-block-heading has-blue-color has-text-color\" id=\"new-insights\">NEW INSIGHTS<\/h6>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"prompt-engineering-improving-our-ability-to-communicate-with-llms\">Prompt Engineering: Improving our ability to communicate with LLMs<\/h2>\n\n\n\n<p>Pretrained natural language generation (NLG) models are powerful, but in the absence of contextual information, responses are necessarily generic. The prompt is the primary mechanism for access to NLG capabilities. It is an enormously effective and flexible tool, yet in order to be actively converted to the expected output, a prompt must meet expectations for how information is conveyed. If the prompt is not accurate and precise, the model is left guessing. Prompt engineering aims to bring more context and specificity to generative AI models, providing enough information in the model instructions that the user gets the exact result they want.<\/p>\n\n\n\n<p>In a recent blog post: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/dynamics-insights-apps-artificial-intelligence-machine-learning\/articles\/prompt-engineering-improving-our-ability-to-communicate-with-an-llm\/\">Prompt Engineering: Improving our Ability to Communicate with an LLM<\/a>, researchers from Microsoft explain how they use retrieval augmented generation (RAG) to do knowledge grounding, use advanced prompt engineering to properly set context in the input to guide large language models (LLMs), implement a provenance check for responsible AI, and help users deploy scalable NLG service more safely, effectively, and efficiently.<\/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-2 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--e0a126e9573c7e13c388a3a4f63c324d\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/group\/dynamics-insights-apps-artificial-intelligence-machine-learning\/articles\/prompt-engineering-improving-our-ability-to-communicate-with-an-llm\/\">Read the article<\/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 class=\"wp-block-heading has-blue-color has-text-color\" id=\"new-resource\">NEW RESOURCE<\/h6>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"overwatch-learning-patterns-in-code-edit-sequences\">Overwatch: Learning patterns in code edit sequences<\/h2>\n\n\n\n<p>Integrated development environments (IDEs) provide tool support to automate many source code editing tasks. IDEs typically use only the spatial context, i.e., the location where the developer is editing, to generate candidate edit recommendations. However, spatial context alone is often not sufficient to confidently predict the developer\u2019s next edit, and thus IDEs generate many suggestions at a location. Therefore, IDEs generally do not actively offer suggestions. The developer must click on a specific icon or menu and then select from a large list of potential suggestions. As a consequence, developers often miss the opportunity to use the tool support because they are not aware it exists or forget to use it. To better understand common patterns in developer behavior and produce better edit recommendations, tool builders can use the temporal context, i.e., the edits that a developer was recently performing.<\/p>\n\n\n\n<p>To enable edit recommendations based on temporal context, researchers from Microsoft created <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/video\/oopsla-2023-overwatch-learning-patterns-in-code-edit-sequences\/\">Overwatch<\/a>, a novel technique for learning edit sequence patterns from traces of developers\u2019 edits performed in an IDE. Their experiments show that Overwatch has 78% precision and that it not only completed edits when developers missed the opportunity to use the IDE tool support, but also predicted new edits that have no tool support in the IDE.<\/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<iframe loading=\"lazy\" title=\"[OOPSLA] Overwatch: Learning Patterns in Code Edit Sequences\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/hokwBH9-tIg?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<h6 class=\"wp-block-heading has-blue-color has-text-color\" id=\"updated-resource\">UPDATED RESOURCE<\/h6>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"qlib-updates-harness-adaptive-market-dynamics-modeling-and-reinforcement-learning-to-address-key-challenges-in-financial-markets\">Qlib updates harness adaptive market dynamics modeling and reinforcement learning to address key challenges in financial markets<\/h2>\n\n\n\n<p>Qlib is an open-source framework built by Microsoft Research that empowers research into AI technologies applicable to the financial industry. Qlib initially supported diverse machine learning modeling paradigms, including supervised learning. Now, a series of recent updates have added support for market dynamics modeling and reinforcement learning, enabling researchers and engineers to tap into more sophisticated learning methods for advanced trading system construction.<\/p>\n\n\n\n<p>These updates broaden Qlib&#8217;s capabilities and its value proposition for researchers and engineers, empowering them to explore ideas and implement effective quantitative trading strategies. The updates, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/microsoft\/qlib\" target=\"_blank\" rel=\"noreferrer noopener\">available on GitHub<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, make Qlib the first platform to offer diverse learning paradigms aimed at helping researchers and engineers solve key financial market challenges.<\/p>\n\n\n\n<p>A significant update is the introduction of adaptive concept drift technology for modeling the dynamic nature of financial markets. This feature can help researchers and engineers invent and implement algorithms that can adapt to changes in market trends and behavior over time, which is crucial for maintaining a competitive advantage in trading strategies.<\/p>\n\n\n\n<p>Qlib\u2019s support for reinforcement learning enables a new feature designed to model continuous investment decisions. This feature assists researchers and engineers in optimizing their trading strategies by learning from interactions with the environment to maximize some notion of cumulative reward.<\/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-3 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill-github\"><a data-bi-type=\"button\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/github.com\/microsoft\/qlib\" target=\"_blank\" rel=\"noreferrer noopener\">Download the code<\/a><\/div>\n<\/div>\n\n\n\n<p><strong>Related research:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ddg-da-data-distribution-generation-for-predictable-concept-drift-adaptation\/\">DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/universal-trading-for-order-execution-with-oracle-policy-distillation\/\">Universal Trading for Order Execution with Oracle Policy Distillation<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this issue: A new study looks at engineers\u2019 views on hybrid work; prompt engineering adds context and specificity to generative AI models; Overwatch learns code edit patterns to aid developers; a Qlib update addresses financial market challenges. <\/p>\n","protected":false},"author":42183,"featured_media":953559,"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":"","footnotes":""},"categories":[1],"tags":[],"research-area":[13560],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[243984],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-952875","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-blog","msr-research-area-programming-languages-software-engineering","msr-locale-en_us","msr-post-option-blog-homepage-featured"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199560,199565],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[733597,144860,663303],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"960\" height=\"540\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-960x540.jpg\" class=\"img-object-cover\" alt=\"Microsoft Research Focus 19 | Week of July 3, 2023\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-960x540.jpg 960w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-300x169.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-1024x576.jpg 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-768x432.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-1066x600.jpg 1066w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-655x368.jpg 655w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-343x193.jpg 343w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-240x135.jpg 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-640x360.jpg 640w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1-1280x720.jpg 1280w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2023\/06\/RF19-blog-hero-1400x788-1.jpg 1400w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/>","byline":"","formattedDate":"July 7, 2023","formattedExcerpt":"In this issue: A new study looks at engineers\u2019 views on hybrid work; prompt engineering adds context and specificity to generative AI models; Overwatch learns code edit patterns to aid developers; a Qlib update addresses financial market challenges.","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/952875"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/42183"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=952875"}],"version-history":[{"count":15,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/952875\/revisions"}],"predecessor-version":[{"id":955089,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/952875\/revisions\/955089"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/953559"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=952875"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=952875"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=952875"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=952875"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=952875"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=952875"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=952875"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=952875"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=952875"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=952875"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=952875"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}