{"id":703,"date":"2009-03-21T17:44:07","date_gmt":"2009-03-21T22:44:07","guid":{"rendered":"http:\/\/www.cs.uri.edu\/?page_id=703"},"modified":"2026-03-03T13:07:24","modified_gmt":"2026-03-03T18:07:24","slug":"news-and-events","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/cs\/news-and-events\/","title":{"rendered":"News and Events"},"content":{"rendered":"<h1>News and Events<\/h1>\n<hr>\n<div class=\"cl-tiles halves\">\n<div>\n<h2>News<\/h2>\n<p><ul class=\"display-posts-listing\"><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260417\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Hoon Cho\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260417\/\">[Talk] Hoon Cho: Enabling Collaborative Genomic Studies with Privacy<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 17, 3:00 PMWhere: Tyler 055 AbstractThe sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260410\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Anny-Claude Joseph\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260410\/\">[Talk] Anny-Claude Joseph: Causal Inference under Spatial Interference<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 10, 3:00 PMWhere: Tyler 055 AbstractEnvironmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal Model (RCM). An important assumption under RCM is no interference, that is, the potential outcomes of one unit in the study are not affected [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-ds-260413\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"IACR\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-ds-260413\/\">[Talk] Data and Discussion DS event: Academic and Professional Opportunities<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 3, 12-2 pm Where: LIB 166 Join us for an engaging Data Science event co-hosted with the Women in Data Science club. Our featured speaker is Alena Korshunova (MBA), a Principal Business Intelligence Analyst in Innovation, Analytics &amp; AI at FM Global. She will share insights into her career path and experience [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-250403\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fox-tyler_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Ryan Fox-Tyler\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fox-tyler_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fox-tyler_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-250403\/\">[Talk] Ryan Fox-Tyler: AI Agents in Production: The Gap Between What&#8217;s Possible and What&#8217;s Deployable<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 3, 3:00 PMWhere: Tyler 055 AbstractEvery generation of developer infrastructure faces the same core tension: how do you give increasingly powerful systems the ability to act autonomously while maintaining the safety and governance guarantees that organizations require? For decades, this played out in distributed systems \u2014 microservices, data pipelines, and platform engineering [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260331\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fig1_600-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Optimization Example\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fig1_600-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/fig1_600-300x300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260331\/\">[Talk] LicketySPLIT: Near-Optimal Decision Trees in a SPLIT Second<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Tuesday, March 31, 11:00 AMWhere: Bliss Hall 190 AbstractDecision tree optimization is fundamental to interpretable machine learning. The most popular approach is to greedily search for the best feature at every decision point, which is fast but provably suboptimal. Recent approaches find the global optimum using branch and bound with dynamic programming, showing substantial [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260326\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Forastiere_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Laura Forastiere\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Forastiere_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Forastiere_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260326\/\">[Talk] Laura Forastiere: Maximizing effectiveness under constrained resources through policy targeting under heterogeneous spillover effects<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, March 27, 3:00 PMWhere: Tyler 055 AbstractIn many empirical settings, individuals are interconnected, and an individual\u2019s outcome may depend on the treatment of others, leading to interference. When interference is heterogeneous, treating individuals with specific characteristics can influence the population average outcome differently, either through their direct response or their impact on others. [&hellip;]<\/span><\/li><\/ul><br \/>\n<a class=\"cl-button  \" href=\"https:\/\/web.uri.edu\/cs\/category\/news\/\" title=\"\">All News<\/a>\n<\/p><\/div>\n<div>\n<h2>Recent Awards<\/h2>\n<p><ul class=\"display-posts-listing\"><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/shaun-wallace-named-2026-uri-ssirep-public-policy-fellow\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Shaun Wallace\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/shaun-wallace-named-2026-uri-ssirep-public-policy-fellow\/\">Shaun Wallace Named 2026 URI SSIREP Public Policy Fellow<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">Assistant Professor Shaun Wallace has been selected as a 2026 Public Policy Fellow through URI&#8217;s Social Science Institute for Research, Education, and Policy (SSIREP). Wallace&#8217;s fellowship project, &#8220;Exploring Cyber Dating Aggression in Real-Time Among Young Adults,&#8221; will prototype a web-based user-first privacy-preserving extraction pipeline for identifying cyber dating aggression (CDA) from their naturally occurring digital [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/sarah-brown-receives-nsf-career-award\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Sarah Brown\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown-150x150.png 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown.png 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/sarah-brown-receives-nsf-career-award\/\">Sarah Brown Receives NSF CAREER Award<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">Assistant Professor of Computer Science Sarah Brown has received an NSF CAREER award for CAREER: Realizing Sociotechnical Machine Learning Through Modeling, Explanations, And Reflection. NSF CAREER awards are made in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/department-of-defense-awards-100000-for-low-code-or-no-code-tools\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Shaun Wallace\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Shaun-Wallace_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/department-of-defense-awards-100000-for-low-code-or-no-code-tools\/\">Department of Defense awards $100,000 for low-code \/ no-code tools<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">The United States Air Force (DoD) awarded Shaun Wallace and collaborator BAM Technologies a $100,000\u00a0SBIR\/STTR Phase 1 grant. Their goal is to develop new, improve, or replace existing low-code or no-code technologies or frameworks that address end-users&#8217; issues. Specifically, these tools will allow non-technical users to develop applications to solve organizational challenges secondary to the [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/krishna-venkatasubramanian\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/KV_biopic_2-300x300-1-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Krishna Venkatasubramanian\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/KV_biopic_2-300x300-1-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/KV_biopic_2-300x300-1.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/krishna-venkatasubramanian\/\">NSF Awards $599,999 for VR for Post-Trauma Self-Regulation<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">The National Science Foundation (NSF) has awarded $599,999 to Krishna Venkatasubramanian for Using Virtual Reality Technologies for Post-Trauma Self-Regulation for Adults with Intellectual and Developmental Disabilities, a project that will design VR-mediated technologies that empower adults with I\/DD to engage in independent post-trauma self-regulation (PTSR) to cope with the negative effects of trauma.<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/abdeltawab-hendawi-2\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Abdeltawab_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Abdeltawab Hendawi\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Abdeltawab_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Abdeltawab_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/abdeltawab-hendawi-2\/\">$100,000 Award for Sidewalk Stress Detection and Routing<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">$100,000 in scholarships from The 401 BridgeTech foundation have been awarded to Abdeltawab Hendawi&#8217;s AI Lab for Sidewalk Stress Detection and Routing. This project aims at the development of algorithms, spatial data structures, and artificial intelligence (AI) models for sidewalk feature identification to provide safer accessibility routing and services on sidewalks.<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/sarah-brown\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Sarah Brown\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown-150x150.png 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Sarah-Brown.png 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/sarah-brown\/\">Survival and Flourishing Fund Awards $163,000 for Fair Data Science<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">The Survival and Flourishing Fund awarded Sarah Brown $163,000 for Machine Learning for Socio-technical Systems Lab. The project will build a benchmark for LLM Agents at doing fair data science.<\/span><\/li><\/ul><br \/>\n<a class=\"cl-button  \" href=\"https:\/\/web.uri.edu\/cs\/category\/grants\/\" title=\"\">All Awards<\/a>\n<\/p><\/div>\n<\/div>\n<div style=\"margin-top: 2em\">\n<section class=\"cl-wrapper cl-boxout-wrapper\"><div class=\"cl-boxout  \"><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/p>\n<h1>Seminars and Colloquia<\/h1>\n<p><ul class=\"display-posts-listing\"><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260417\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Hoon Cho\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/cho_profile_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260417\/\">[Talk] Hoon Cho: Enabling Collaborative Genomic Studies with Privacy<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 17, 3:00 PMWhere: Tyler 055 AbstractThe sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-260410\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"Anny-Claude Joseph\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/Anny-Claude-Joseph_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-260410\/\">[Talk] Anny-Claude Joseph: Causal Inference under Spatial Interference<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 10, 3:00 PMWhere: Tyler 055 AbstractEnvironmental epidemiologists are increasingly interested in establishing causality between exposures and health outcomes. A popular model for causal inference is the Rubin Causal Model (RCM). An important assumption under RCM is no interference, that is, the potential outcomes of one unit in the study are not affected [&hellip;]<\/span><\/li><li class=\"listing-item\"><a class=\"image\" href=\"https:\/\/web.uri.edu\/cs\/talk-ds-260413\/\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail wp-post-image\" alt=\"IACR\" srcset=\"https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300-150x150.jpg 150w, https:\/\/web.uri.edu\/cs\/wp-content\/uploads\/sites\/1531\/IACR_logo_300.jpg 300w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a> <a class=\"title\" href=\"https:\/\/web.uri.edu\/cs\/talk-ds-260413\/\">[Talk] Data and Discussion DS event: Academic and Professional Opportunities<\/a> <span class=\"excerpt-dash\">-<\/span> <span class=\"excerpt\">When: Friday, April 3, 12-2 pm Where: LIB 166 Join us for an engaging Data Science event co-hosted with the Women in Data Science club. Our featured speaker is Alena Korshunova (MBA), a Principal Business Intelligence Analyst in Innovation, Analytics &amp; AI at FM Global. She will share insights into her career path and experience [&hellip;]<\/span><\/li><\/ul><br \/>\n<a class=\"cl-button  \" href=\"https:\/\/web.uri.edu\/cs\/category\/seminars\/\" title=\"\">All Speakers<\/a><br \/>\n<\/p><\/div><\/section>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>News and Events News Recent Awards<\/p>\n","protected":false},"author":4688,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-703","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/pages\/703","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/users\/4688"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/comments?post=703"}],"version-history":[{"count":4,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/pages\/703\/revisions"}],"predecessor-version":[{"id":18372,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/pages\/703\/revisions\/18372"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/media?parent=703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}