Find inspiration in OPI PIB experts’ scientific publications

We are committed to sharing the findings of our research to support scientists and specialists in understanding the crucial trends in science and technology. We hope that our publications inspire readers to make new discoveries and develop practical solutions.

Subject areas

Our publications focus on the following subject areas:

  • Information technology and telecommunications
    Research on the development of IT systems, data security, artificial intelligence, machine learning and human–technology interaction.
  • Social sciences
    Publications on innovation, the analysis of scientists and institutions, the sociology of science and the impact of science on economies.
  • Technological implementation
    We share our experiences in the design, development and maintenance of IT systems.

Open access 

  • We want our publications to be accessible to the public. The majority of our publications are available on an open-access basis.

Our latest publications

Discover our latest publications that advance scientific development.

List of publications

  • The Digital Transformation: The End of Linear Television?

    Sławomir Rybka

    2026 W: Digital Interaction and Machine Intelligence : Proceedings of MIDI’2024 – 12th Machine Intelligence and Digital Interaction – Conference, December 12, 2024, Warsaw, Poland (Hybrid Formula) / Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jakub Możaryn, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski. – Cham : Spriger. – s. 178-185

    https://link.springer.com/chapter/10.1007/978-3-032-05802-7_19

  • Twice Overlooked: The Impact of Neoliberal Dynamics on Older Female Professors in STEM in Poland

    Anna Knapińska

    2026 W: Diversity, Equity, and Inclusion in Central and Eastern Europe : A Multidisciplinary Approach Beyond Borders / red. Anna M. Górska, Barbara Czarniawska, Monika Kostera. – Cham : Palgrave Macmillan, 2026. – s. 305-328

    https://link.springer.com/chapter/10.1007/978-3-032-12722-8_14

  • A comparative analysis over time

    Anna Knapińska, Anna Łobodzińska, Joanna Mirosław, Agata Roguz, Marta Czarnocka-Cieciura

    2025 W: Statistical Analysis for Inclusive Gender Equality : Practical Guidance for Analysing GEAM Data / red. Jörg Müller, Dalia Argudo, Ewa Krzaklewska, Paulina Sekula. – [s.l.] : [s.n.]

    https://geamtool.eu/analysis/04-compare-in-time.html

  • A Physiologically Explainable Classifier for Labour Prediction Based on Electrohysterographical Signals

    Dariusz S. Radomski, Zuzanna Ościk, Rafal Jóźwiak, Ewa Dmoch-Gajzlerska

    2025 Applied Sciences – Basel. – T. 15, nr 24, Art. no 12960

    https://www.mdpi.com/2076-3417/15/24/12960

  • A Review of the Challenges with Massive Web-Mined Corpora Used in Large Language Models Pre-training

    Michał Perełkiewicz, Rafał Poświata

    2025 W: Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada. – Cham : Springer. – s. 153-156

    International Conference on Artificial Intelligence and Soft Computing [ICAISC], Zakopane, 16-20.06.2024

    https://link.springer.com/chapter/10.1007/978-3-031-81596-6_14

  • Agile in public sector unit in Poland based on example of National Information Processing Institute (OPI PIB)

    Jakub Tomczak, Marek Michajłowicz

    2025 Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie. – nr 58, s. 65-77

    https://znz.pcz.pl/fcp/gGBUKOQtTKlQhbx08SlkTUQJEUWRuHQwFDBoIVURNFDgPW1ZpCFghUHcKVigEQR1BXQEsKTwdAQsKJBVYCRlYdxdFDy5IGzpEMEIrMQxBC0EBS0R6fk8Q/_users/code_oAlkUKkpVKlo0XgczCU5cAl4WCSEnLR0BE2sRXQ/58_6.pdf

  • AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases

    Michifumi Yamashita, Natalia Piaseczna, Akira Takahashi, Daisuke Kiyozawa, Narihito Tatsumoto, Shohei Kaneko, Natalia Zurek, Arkadiusz Gertych

    2025 Computer Methods and Programs in Biomedicine. – Vol. 268, art. no 108842

    https://www.sciencedirect.com/science/article/pii/S0169260725002597

  • AI4AR: Reporting, Education, and Artificial Intelligence in the Era of Value-Based Radiology

    Rafał Jóźwiak, Jan Mycka, Ihor Mykhalevych, Michał Gonet, Piotr Sobecki, Tomasz Jaworski, Krzysztof Tupikowski, Joanna Dołowy, Tomasz Lorenc & Anna Zacharzewska-Gondek

    2025 2025 W: Information Technology in Biomedicine : 10th International Conference, ITIB 2025, Zabrze, Poland, June 23–25, 2025 Proceedings / red. Pawel Badura, Joanna Czajkowska, Arkadiusz Gertych, Jacek Kawa, Ewa Piętka, Wojciech Wieclawek. – Cham : Springer. – s. 3-14

    https://link.springer.com/chapter/10.1007/978-3-031-95582-2_1

  • An Unsupervised Learning Algorithm for the Automatic Classification of Coronary Artery Lesions

    Julia Szopińska, Piotr A. Regulski, Maciej Mazurek, Marcin Grabowski, Piotr Wendykier, Rafał Jóźwiak

    2025 Cureus. – T. 27, no 7, pp E88638

    https://pmc.ncbi.nlm.nih.gov/articles/PMC12374174/

  • Assessing generalization capability of text ranking models in Polish

    Sławomir Dadas, Małgorzata Grębowiec

    2025 W: Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada. – Cham : Springer. – s. 37-49

    International Conference on Artificial Intelligence and Soft Computing [ICAISC], Zakopane, 16-20.06.2024

    https://link.springer.com/book/10.1007/978-3-031-84353-2