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Nearly 500 teams worldwide entered the competition.<\/p>\n\n\n\n<p>Fadi Alsaleem, UNL assistant professor of architectural engineering and an expert on big data analysis, had assembled the team to tackle another pandemic-related project: predicting outbreaks across the state. He was joined by Alison Freifeld, University of Nebraska Medical Center professor of internal medicine and infectious diseases expert; Basheer Qolomany, University of Nebraska at Kearney assistant professor of computer science and expert in deep learning in support of smart services and disease progression; and Dan Piatkowski, UNL assistant professor of community and regional planning.<\/p>\n\n\n\n<figure class=\"wp-block-gallery alignfull columns-4 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"1024\" src=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210223_Alsaleem_ENG_007-SM-683x1024.jpg\" alt=\"\" data-id=\"411\" data-link=\"https:\/\/research.unl.edu\/annualreport\/2021\/pandemic\/210223_alsaleem_eng_007-sm\/\" class=\"wp-image-411\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210223_Alsaleem_ENG_007-SM-683x1024.jpg 683w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210223_Alsaleem_ENG_007-SM-200x300.jpg 200w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210223_Alsaleem_ENG_007-SM-768x1152.jpg 768w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210223_Alsaleem_ENG_007-SM.jpg 1000w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><figcaption class=\"blocks-gallery-item__caption\">Fadi Alsaleem<\/figcaption><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"638\" height=\"1024\" src=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/02_19_2021_AlisonFreifeldXPRIZE012-SM-638x1024.jpg\" alt=\"\" data-id=\"413\" data-link=\"https:\/\/research.unl.edu\/annualreport\/2021\/pandemic\/02_19_2021_alisonfreifeldxprize012-sm\/\" class=\"wp-image-413\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/02_19_2021_AlisonFreifeldXPRIZE012-SM-638x1024.jpg 638w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/02_19_2021_AlisonFreifeldXPRIZE012-SM-187x300.jpg 187w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/02_19_2021_AlisonFreifeldXPRIZE012-SM-768x1232.jpg 768w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/02_19_2021_AlisonFreifeldXPRIZE012-SM.jpg 935w\" sizes=\"auto, (max-width: 638px) 100vw, 638px\" \/><figcaption class=\"blocks-gallery-item__caption\">Alison Freifeld<\/figcaption><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"643\" src=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM-1024x643.jpg\" alt=\"\" data-id=\"415\" data-full-url=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM.jpg\" data-link=\"https:\/\/research.unl.edu\/annualreport\/2021\/pandemic\/basheer-qolomany-2_pp-sm\/\" class=\"wp-image-415\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM-1024x643.jpg 1024w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM-300x188.jpg 300w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM-768x482.jpg 768w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/Basheer-Qolomany-2_pp-SM.jpg 1500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"blocks-gallery-item__caption\">Basheer Qolomany<\/figcaption><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210222_Piatkowski_009-SM-1024x683.jpg\" alt=\"\" data-id=\"414\" data-link=\"https:\/\/research.unl.edu\/annualreport\/2021\/pandemic\/210222_piatkowski_009-sm\/\" class=\"wp-image-414\" srcset=\"https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210222_Piatkowski_009-SM-1024x683.jpg 1024w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210222_Piatkowski_009-SM-300x200.jpg 300w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210222_Piatkowski_009-SM-768x513.jpg 768w, https:\/\/research.unl.edu\/annualreport\/2021\/wp-content\/uploads\/2021\/10\/210222_Piatkowski_009-SM.jpg 1500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"blocks-gallery-item__caption\">Dan Piatkowski<\/figcaption><\/figure><\/li><\/ul><\/figure>\n\n\n\n<p>The team shifted its focus for the Pandemic Response Challenge, which aimed to harness data and artificial intelligence in equipping policymakers, health officials and business leaders with insights and guidance to implement public safety measures and safely deliver the COVID-19 vaccine, maximizing their ability to keep local economies open while minimizing potential virus breakouts.<\/p>\n\n\n\n<p>The team\u2019s work and data focused on Nebraska but it applied its model globally. \u201cTo apply the model across the whole world and see that it\u2019s performing at least as well as other models is very gratifying. It was a good surprise,\u201d Alsaleem said.<\/p>\n\n\n\n<p>Initially, the Nebraska model was noted for its accurate, stable predictions about where outbreaks were likely. The team then expanded the model to help predict how government interventions \u2013 such as closing schools or recommending employees work from home \u2013 could affect caseloads. This data-driven approach proved useful for responding to the COVID-19 pandemic and could be implemented in future pandemics.<\/p>\n\n\n\n<p>\u201cI think one of the strengths in this team, and across the NU system, is how quickly everyone jumped on board and was ready to provide perspectives and expertise from their own disciplines,\u201d Piatkowski said. \u201cIt\u2019s certainly nice to be competitive against such impressive teams, but it also underscores our strengths in both scientific excellence and collaboration here in Nebraska.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A team of researchers from three University of Nebraska institutions was among the world\u2019s best in developing an artificial intelligence-driven model to advise policymakers on how best to handle the COVID-19 pandemic. Their aim was to align medical recommendations with policy implementation. The team was one of eight to receive an honorable mention in the&hellip; <a class=\"more-link\" href=\"https:\/\/research.unl.edu\/annualreport\/2021\/pandemic\/\">Continue reading <span class=\"screen-reader-text\">Team Among World&#8217;s Best in Pandemic Challenge<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[103,102],"tags":[42,205,48,43,46,41,40,39,47,44,23,45],"class_list":["post-83","post","type-post","status-publish","format-standard","hentry","category-architecture-and-business","category-creative-activity","tag-alison-freifeld","tag-architecture-and-business","tag-artificial-intelligence-driven-model","tag-basheer-qolomany","tag-big-data","tag-covid-19-response","tag-dan-piatkowski","tag-fadi-alsaleem","tag-interdisciplinary-research","tag-pandemic-response-challenge","tag-public-health","tag-xprize-foundation","entry"],"_links":{"self":[{"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/posts\/83","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/comments?post=83"}],"version-history":[{"count":5,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/posts\/83\/revisions"}],"predecessor-version":[{"id":567,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/posts\/83\/revisions\/567"}],"wp:attachment":[{"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/media?parent=83"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/categories?post=83"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2021\/wp-json\/wp\/v2\/tags?post=83"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}