{"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":"2026-03-05T19:13:19","modified_gmt":"2026-03-05T19:13:19","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/www.marshall.edu\/reu\/","title":{"rendered":"Home"},"content":{"rendered":"<h2>NSF-FUNDED DATA ANALYTICS REU<\/h2>\n<p>Empowering Future Data Scientists in Appalachia. Welcome to the REU: Undergraduate Research in Data Analytics (URDA), <strong>a 10-week summer research experience at Marshall University.<\/strong> This NSF-funded program is designed to provide transformative research opportunities for undergraduate students, particularly first-generation students, underrepresented minorities, and students from resource-limited institutions in Appalachia.<\/p>\n<p>Our program equips students with cutting-edge skills in data analytics, machine learning, cybersecurity, and artificial intelligence, connecting classroom knowledge to real-world applications. Through mentorship, hands-on projects, workshops, and networking, participants will gain the expertise needed to excel in graduate studies and careers in data science.<\/p>\n<p><iframe loading=\"lazy\" title=\"Campus Tour | Marshall University\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/Tsf5MphHSWA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2>Why Choose REU: URDA?<\/h2>\n<ul>\n<li>Work on innovative research projects in predictive, descriptive, diagnostic, risk, threat, behavior, and visual analytics.<\/li>\n<li>Gain hands-on experience with real-world datasets and advanced data science tools.<\/li>\n<li>Receive personalized mentorship from leading faculty in Computer Science and Data Analytics.<\/li>\n<li>Collaborate with peers in a supportive and inclusive research community.<\/li>\n<li>Present your research at conferences and symposiums\u00a0with opportunities for publication.<\/li>\n<\/ul>\n<h2>Program Highlights<\/h2>\n<ul>\n<li><strong>Duration:<\/strong> 10 weeks (Summer)<\/li>\n<li><strong>Location:<\/strong> Marshall University, Huntington, WV<\/li>\n<li><strong>Stipend:<\/strong> Competitive NSF-funded stipend<\/li>\n<li><strong>Eligibility:<\/strong> Open to undergraduate students nationwide, with an emphasis on students from West Virginia, Kentucky, and Ohio.<\/li>\n<\/ul>\n<h2>Apply Now! Don&#8217;t miss this opportunity to jumpstart your research career in data science!<\/h2>\n<p><a href=\"https:\/\/etap.nsf.gov\/award\/7954\/opportunity\/10858\">https:\/\/etap.nsf.gov\/award\/7954\/opportunity\/10858<\/a><\/p>\n<div class=\"marsha-row mt-4 mb-4 flex flex-wrap -mx-2 lg:-mx-6  justify-start border-0 border-gray-100 first:mt-0\">\n\t\n<div class=\"columns w-full lg:w-6\/12  lg:px-6    mt-6\">\n<div class=\"\">\n\n<h2>Core Research Areas<\/h2>\n<ul>\n<li><strong>Big Data &amp; Predictive Analytics:<\/strong> Forecasting trends, anomaly detection, and workload predictions, i.e., Truth Tracker: Can AI Spot Fake News?<\/li>\n<li><strong>Cybersecurity &amp; Threat Analytics:<\/strong> Analyzing security logs, intrusion detection, and risk analytics, ie, Analyzing Intrusion Detection Logs in IoT Networks<\/li>\n<li><strong>Machine Learning &amp; AI:<\/strong> Data modeling, deep learning, and algorithm optimization, ie, Emotional Analytics for Images, Innovative Railroad Maintenance System<\/li>\n<li><strong>Social Media &amp; Behavioral Analytics:<\/strong> Understanding user behavior through social media data, ie, Understanding Virtual Reality Players<\/li>\n<li><strong> IoT &amp; Smart Systems Analytics:<\/strong> Leveraging sensor data for security and efficiency, ie, Immersive Virtual Reality for Enhanced Learning Environments, Smart IoT-Driven Data Visualization for Decision Making<\/li>\n<\/ul>\n\n<\/div>\n<\/div>\n\n<div class=\"columns w-full lg:w-6\/12  lg:px-6    mt-6\">\n<div class=\"\">\n\n<div class=\"marsha-row mt-4 mb-4 flex flex-wrap -mx-2 lg:-mx-6  justify-start border-0 border-gray-100 first:mt-0\">\n\t\n<\/div>\n\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-15630\" src=\"http:\/\/www.marshall.edu\/cecs\/files\/Screen-Shot-2025-02-02-at-7.25.39-PM-300x199.png\" alt=\"\" width=\"482\" height=\"320\" \/>\n\n<\/div>\n<\/div>\n\n\n<\/div>\n\n<div class=\"marsha-row mt-4 mb-4 flex flex-wrap -mx-2 lg:-mx-6  justify-start border-0 border-gray-100 first:mt-0\">\n\t\n<div class=\"columns w-full lg:w-6\/12  lg:px-6    mt-6\">\n<div class=\"\">\n\n<h2>Participants will engage in<\/h2>\n<ul>\n<li>Hands-on research projects guided by faculty mentors.<\/li>\n<li>Workshops &amp; Seminars on cutting-edge data analytics techniques.<\/li>\n<li>Technical and professional development training to enhance research skills.<\/li>\n<li>Networking opportunities with industry professionals and graduate school representatives.<\/li>\n<li>Final Research Symposium, where students present their work.<\/li>\n<\/ul>\n\n<\/div>\n<\/div>\n\n<div class=\"columns w-full lg:w-6\/12  lg:px-6    mt-6\">\n<div class=\"\">\n\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-15637\" src=\"http:\/\/www.marshall.edu\/cecs\/files\/Screen-Shot-2025-02-02-at-7.25.19-PM-300x186.png\" alt=\"\" width=\"468\" height=\"290\" \/>\n<\/p><\/div>\n<\/div>\n\n\n<\/div>\n\n<h2>Activities<\/h2>\n<p><strong>Engaging, Hands-On Research &amp; Learning Experience<\/strong><\/p>\n<p>The <strong>REU: URDA<\/strong> program is designed to provide students with <strong>real-world research experience<\/strong> through various activities:<\/p>\n<p><strong>Technical Workshops:<\/strong><\/p>\n<ul>\n<li>Data Analytics Tools (Python, R, Weka, Jupyter Notebooks)<\/li>\n<li>Data Cleaning &amp; Preprocessing Techniques<\/li>\n<li>Machine Learning &amp; AI for Data Science<\/li>\n<li>Cybersecurity &amp; Threat Analytics<\/li>\n<li>Data Visualization and Dashboard Creation<\/li>\n<\/ul>\n<h2>Research Seminars &amp; Professional Development<\/h2>\n<ul>\n<li>Scientific Writing &amp; LaTeX for Research Papers<\/li>\n<li>How to Present Research Effectively<\/li>\n<li>Ethics in Data Science<\/li>\n<li>Career Paths in Data Analytics<\/li>\n<li>Graduate School Preparation<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>NSF-FUNDED DATA ANALYTICS REU Empowering Future Data Scientists in Appalachia. Welcome to the REU: Undergraduate Research in Data Analytics (URDA), a 10-week summer research experience at Marshall University. This NSF-funded program is designed to provide transformative research opportunities for undergraduate students, particularly first-generation students, underrepresented minorities, and students from resource-limited institutions in Appalachia. Our program<\/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":[],"_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":12,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":243,"href":"https:\/\/www.marshall.edu\/reu\/wp-json\/wp\/v2\/pages\/2\/revisions\/243"}],"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}]}}