{"id":6811,"date":"2026-04-08T09:24:59","date_gmt":"2026-04-08T07:24:59","guid":{"rendered":"https:\/\/eaa-online.org\/arc\/events\/"},"modified":"2026-04-08T09:24:59","modified_gmt":"2026-04-08T07:24:59","slug":"data-science-as-a-research-method","status":"publish","type":"event","link":"https:\/\/eaa-online.org\/arc\/events\/data-science-as-a-research-method","title":{"rendered":"Data Science as a Research Method"},"content":{"rendered":"<p><em>Registration deadline: September 6, 2026<\/em><\/p>\n<p>The learning objective of the course is to enable participants to apply these techniques in design-oriented and\/or quantitative empirical research projects.<\/p>\n<p>The course is targeted at PhD students and young researchers who want to apply data science methods in their research. It covers various data preparation, statistical modeling, and visualization techniques for extracting knowledge from the vast and complex data sets that have emerged in business over the past years. The learning objective of the course is to enable participants to apply these techniques in design-oriented and\/or quantitative empirical research projects.<\/p>\n<p>Topics include supervised machine learning for regression and classification (linear and non-linear models), unsupervised machine learning (e.g., clustering, dimensionality reduction), ensemble models, AutoML, interpretability of machine learning, and natural language processing (e.g., dictionary-based methods, supervised text classification, topic modeling).<\/p>\n<p><b>Lecturer<\/b><br \/>\nProf. Dr. Oliver M\u00fcller<br \/>\nUniversit\u00e4t Paderborn<br \/>\n<a href=\"mailto:oliver.mueller@uni-paderborn.de\">oliver.mueller@uni-paderborn.de<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Registration deadline: September 6, 2026 The learning objective of the course is to enable participants to apply these techniques in design-oriented and\/or quantitative empirical research projects. The course is targeted at PhD students and young researchers who want to apply data science methods in their research. It covers various data preparation, statistical modeling, and visualization [&hellip;]<\/p>\n","protected":false},"author":570,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0},"event_category":[163,168],"event_tag":[],"event_target_group":[58,59,183,152],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science as a Research Method - ARC<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science as a Research Method - ARC\" \/>\n<meta property=\"og:description\" content=\"Registration deadline: September 6, 2026 The learning objective of the course is to enable participants to apply these techniques in design-oriented and\/or quantitative empirical research projects. 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