Interesting: BIS 2026 will be held in Prague
Department of Information Systems
Poznań University of Economics and Business
During the international conference “Harnessing web data for next-generation skills intelligence”, organized by the European Centre for the Development of Vocational Training (CEDEFOP) and Eurostat, Mikołaj Tym, a researcher from our department, presented his findings on extracting information from online job advertisements concerning the skills required by employers using an AI agent-based approach.
The twenty-sixth edition of the International Conference on Business Information Systems (BIS 2026) was held on 10–12 June 2026 at the Prague University of Economics and Business. In response to the growing importance of AI and digital transformation in business, the theme of BIS 2026 was defined as: “From Hype to Impact: Turning AI into Real Business Value”.
An article by our researchers, titled “Cross-Topic Sentiment Analysis of Wikipedia Articles: A Comparative Study of AI Models“, has been published. The study focuses on one of Wikipedia’s core principles: the neutral point of view (NPOV), which requires information to be presented impartially. The publication demonstrates how modern AI methods can support the analysis of information quality on a global scale, while also revealing the complexity and challenges behind the … Read More
The scientific article titled “Supporting the Mental Health Care with Artificial Intelligence Chatbots” has been published on the Springer platform. The aim of the study was to analyze and evaluate the effectiveness of various AI-based chatbots in performing tasks related to mental health. The authors of the publication: Dominika Smoczyńska and Prof. Agata Filipowska. The growing scale of mental health challenges, combined with the rapid development of artificial intelligence and … Read More
On November 26–28, 2025, the 11th edition of the Scientific Conference on Business Informatics “IwZ 2025” was held at the Faculty of Management of the University of Łódź. The main theme of this year’s edition, “Digital Transformation – (R)evolution in Management”, reflected current research trends in the field of business informatics. Three representatives of the Department of Information Systems participated in the conference: Dr. Elżbieta Lewańska, Dr. Piotr Stolarski, and … Read More
The scientific monograph “AI-Driven Digital Transformation: Perspectives from a Business School” has been published by Routledge. The volume offers a multifaceted view of AI-driven digital transformation from the perspective of a renowned business school. It comprises 23 chapters divided into six thematic areas: decision support, data processing, marketing and product development, supply chains, finance, and broader social issues.
The 26th edition of the International Conference on Business Information Systems (BIS 2026) will take place on June 10–12, 2026, at the University of Economics in Prague (Czech Republic). From the very beginning this renowned conference has been recognized by scientists and business practitioners as a forum for the exchange and dissemination of topical research in the development, implementation, application, and improvement of computer systems for business.
The paper on automatic analysis of Wikipedia content neutrality, authored by our researchers, was presented at IJCAI 2025 (the 34th International Joint Conference on Artificial Intelligence). The event took place on 16-22 August 2025 in Montreal, Canada.
Employees of the Department of Information Systems took part in ACL 2025 (the 63rd Annual Meeting of the Association for Computational Linguistics), a top-tier conference on artificial intelligence, held in Vienna in the last week of July 2025. Researchers presented results published in the ACL Anthology, prepared as part of a shared task on the detection and classification of persuasion techniques in Slavic languages.
At the BIS 2025 conference, Ewelina Księżniak presented the results of a research project focused on the analysis of political narratives and misinformation spread via social media during the COVID-19 pandemic. Our researchers investigated how supporters of four Polish political parties – Law and Justice (PiS), Civic Platform (PO), Confederation, The Left (Lewica) – engaged in pandemic-related discussions. The study employed natural language processing techniques, including BERTopic and stance classification … Read More