{"id":2,"date":"2026-02-13T17:39:13","date_gmt":"2026-02-13T17:39:13","guid":{"rendered":"https:\/\/www.marshall.edu\/reu\/?page_id=2"},"modified":"2026-10-07T13:31:37","modified_gmt":"2026-10-07T13:31:37","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/www.marshall.edu\/reu\/","title":{"rendered":"Home"},"content":{"rendered":"

NSF-FUNDED DATA ANALYTICS REU<\/h2>\n
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\n\t\t\t\tEmpowering Future Data Scientists in Appalachia\n\t\t\t<\/div>\n\n\t\t\t
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T<\/strong>he REU: Undergraduate Research in Data Analytics (URDA) is a 10-week summer research experience at Marshall University. This NSF-funded program provides meaningful research opportunities for undergraduate students, including first-generation students, underrepresented groups, and students from resource-limited institutions. Through research, mentoring, and professional development.<\/p>\n

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\n\t\t\t\t Developing Future Data Scientists\n\t\t\t<\/div>\n\n\t\t\t
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Our program equips students with practical skills in data analytics, machine learning, cybersecurity, and artificial intelligence while connecting classroom knowledge to real-world applications. Through faculty mentorship, hands-on research projects, technical workshops, and professional networking, participants build the knowledge, experience, and confidence needed to succeed in graduate study and careers in data science and related computing fields.<\/p>\n

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Why Choose REU: URDA?<\/h2>\n

A structured research experience combining faculty mentorship, technical training, professional development, and research dissemination.<\/p>\n

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Work on real-world research problems in computing and data-intensive fields.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Meet regularly with faculty mentors and research assistants throughout the summer.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Build scientific writing, presentation, ethics, and career skills.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Prepare posters, presentations, publications, and other research outputs.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n\n<\/div>\n\n

Core Research Areas<\/h2>\n

Projects combine data analytics with modern computing and engineering applications.<\/strong><\/p>\n

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Estimate battery state of health using sensor, cycling, and aging data.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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\n\t\t\t\t Intelligence Cybersecurity\n\t\t\t<\/div>\n\n\t\t\t
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Apply data-driven methods to security monitoring and threat analysis.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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\n\t\t\t\tHuman Emotion & Computer Vision\n\t\t\t<\/div>\n\n\t\t\t
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Study emotion classification and intelligent methods.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Use sensing and analytics to study transportation and infrastructure systems.<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n\n<\/div>\n\n

\t\t\n\t\tApply Now<\/span>\n\t<\/a>\n\t! Don’t miss this opportunity.<\/h2>\n
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Duration<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Student stipend<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Provided<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n
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Support available<\/strong><\/div>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\n\t\t\n\t\t\t<\/div>\n\t\n\n<\/div>\n<\/div>\n\n\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

NSF-FUNDED DATA ANALYTICS REU Why Choose REU: URDA? A structured research experience combining faculty mentorship, technical training, professional development, and research dissemination. Core Research Areas Projects combine data analytics with modern computing and engineering applications. ! Don’t miss this opportunity.<\/p>\n","protected":false},"author":46,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"acf":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/users\/46"}],"replies":[{"embeddable":true,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":50,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":779,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages\/2\/revisions\/779"}],"wp:attachment":[{"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}