Interesting: BIS 2027 will be held in Poznań
Department of Information Systems
Poznań University of Economics and Business
Włodzimierz Lewoniewski – member of the Department of Information Systems. More information →
Dr. Włodzimierz Lewoniewski and Izabela Czumałowska have been selected as finalists in the 6th edition of the competition to become a speaker at Pyrkon’s Scientific Zone. Winning the competition will give them the opportunity to deliver their own presentation at Pyrkon 2027, one of Europe’s largest fantasy and science fiction festivals.
On 22 October 2026, SRG Data Science held its inaugural meeting, during which the student research group’s plans and key priorities for the 2026/2027 academic year were presented. Over the coming months, the research group will focus on developing practical skills in data analysis, Python programming and artificial intelligence.
At the international conference “Open Knowledge: Wikimedia & Research in the CEE Region”, held on October 9–10, 2026, in Katowice, Dr. Włodzimierz Lewoniewski delivered a talk entitled “Measuring Wikipedia Quality at Scale: Assessment of Content, Information Sources, Data Visualizations”. The presentation focused on the use of artificial intelligence and advanced data analysis methods to automatically assess the quality of information on Wikipedia.
At the invitation of Arizona State University, Dr. Włodzimierz Lewoniewski delivered a talk entitled “Methods and Tools for Automatic Quality Assessment of Wikipedia Articles and Their Information Sources”. The talk focused on the challenges associated with the automatic assessment of information quality in multilingual Wikipedia.
An open-access paper by researchers from our Department entitled “Evaluating Multilingual Sentiment Classifiers Using an LLM-Annotated Wikipedia Benchmark” has been published. Authors of the work: Dr. Milena Stróżyna, Dr. Włodzimierz Lewoniewski, Izabela Czumałowska. The paper was presented at ACL 2026 in San Diego, held from July 2 to 7, 2026.
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
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
A study authored by our researchers, dedicated to the analysis of research trends in the fields of blockchain technology and crypto-assets, has been published in open access on the Elsevier publishing platform. The study analyzes more than 50,000 scientific publications from the years 2015–2025, and its findings provide a unique, data-driven picture of how blockchain research has evolved over time.
The article “Quality Measures for Data Visualization: A Case Study of Polish Wikipedia”, authored by our researchers, has been published in open access. The work focuses on analyzing the quality of data visualizations in the Polish edition of Wikipedia. The study draws on an extensive dataset of over one million articles, from which visual elements such as tables, charts, diagrams, and maps were extracted and classified.