{"id":738,"date":"2026-11-05T18:37:15","date_gmt":"2026-11-05T18:37:15","guid":{"rendered":"https:\/\/kie.ue.poznan.pl\/en\/?p=738"},"modified":"2026-11-05T18:38:01","modified_gmt":"2026-11-05T18:38:01","slug":"srg-data-science-inaugural-meeting-2026-2027","status":"publish","type":"post","link":"https:\/\/kie.ue.poznan.pl\/en\/news\/srg-data-science-inaugural-meeting-2026-2027\/","title":{"rendered":"SRG Data Science: Inaugural Meeting 2026\/2027"},"content":{"rendered":"<p>On 22 October 2026, <a href=\"https:\/\/kie.ue.poznan.pl\/en\/srg-data-science\/\">SRG Data Science<\/a> held its inaugural meeting, during which the student research society&#8217;s plans and key priorities for the <a href=\"https:\/\/ue.poznan.pl\/wydarzenia\/skn-data-science-spotkanie-organizacyjne-2026-2027\/\" target=\"_blank\">2026\/2027 academic year<\/a> were presented. Over the coming months, the society will focus on developing practical skills in data analysis, Python programming and artificial intelligence.<!--more--><\/p>\n<p>Planned activities include workshops covering Python fundamentals, the use of popular libraries, and hands-on projects involving data processing and analysis. The programme will also feature lectures and workshops led by industry professionals.<\/p>\n<p>During the meeting, <a href=\"https:\/\/kie.ue.poznan.pl\/pl\/wlodzimierz-lewoniewski\/\">Dr W\u0142odzimierz Lewoniewski<\/a> demonstrated how open data and publicly available knowledge sources can be used in analytical and research projects. One example is <a href=\"https:\/\/mapafantastyki.pl\" target=\"_blank\">Mapa Fantastyki<\/a> (Map of Speculative Fiction), an interactive map visualising approximately 100,000 articles from the Polish- and English-language editions of Wikipedia. The project covers a broad range of fantasy, science fiction and related topics, including literature, films, television series, games, comics, anime, fictional characters and creators.<\/p>\n<p>Another part of the meeting focused on natural language processing (NLP) and the capabilities of modern artificial intelligence models. <a href=\"https:\/\/kie.ue.poznan.pl\/pl\/ewelina-ksiezniak\/\">Ewelina Ksi\u0119\u017cniak<\/a> discussed how AI models process and understand Polish, interpret meaning and context, recognise an author&#8217;s writing style, and how the performance of language models can be evaluated. As a practical example, Task 3 of the PolEval 2026 competition, &#8220;<a href=\"https:\/\/poleval.pl\/2026\/tasks\/style-modification\/\" target=\"_blank\">Adversarial Style Modification: Probing the Human\u2013AI Perception Gap<\/a>&#8220;, was presented. The task involves modifying text to make it more difficult for automated systems to identify an author&#8217;s writing style while preserving the original meaning and keeping the style recognisable to human readers. This example provided a basis for discussing the challenges of text analysis and the differences between human and machine perception of linguistic features.<\/p>\n<p>Participants also had the opportunity to ask questions about the society&#8217;s activities, upcoming initiatives and ways to get involved in its projects. Questions were answered by members of the SRG Data Science Board: <strong>Paulina Lange, Aniela Matusiak, Marek \u015aleszy\u0144ski and Przemys\u0142aw Wi\u0119cek<\/strong>.<\/p>\n<p>For more information about the society&#8217;s activities and upcoming events, visit the SRG Data Science Facebook page: <a href=\"https:\/\/www.facebook.com\/SKNDataScienceUEP\/\" target=\"_blank\">facebook.com\/SKNDataScienceUEP<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On 22 October 2026, SRG Data Science held its inaugural meeting, during which the student research society&#8217;s plans and key priorities for the 2026\/2027 academic year were presented. Over the coming months, the society will focus on developing practical skills in data analysis, Python programming and artificial intelligence.<\/p>\n","protected":false},"author":1,"featured_media":739,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[329,46,117,328,137,327,330,34,13],"class_list":["post-738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-aniela-matusiak","tag-artificial-intelligence","tag-ewelina-ksiezniak","tag-marek-sleszynski","tag-natural-language-processing","tag-paulina-lange","tag-przemyslaw-wiecek","tag-srg-data-science","tag-wlodzimierz-lewoniewski"],"_links":{"self":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts\/738","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/comments?post=738"}],"version-history":[{"count":0,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts\/738\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/media\/739"}],"wp:attachment":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/media?parent=738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/categories?post=738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/tags?post=738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}