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

  • Measurement or induction? Methodological challenges in studying empathy and compassion with technology-assisted tools

    Gabriela Górska, Paweł Holas

    2026 Computers in Human Behavior Reports. – T. 23, August 2026, Art. no 101190

    https://www.sciencedirect.com/science/article/pii/S2451958826002642?getft_integrator=scopus&pes=vor&utm_source=scopus

  • RAGdeterm: Deterministic retrieval-augmented generation for code generation

    Adam Bochenek, Jarosław Protasiewicz, Witold Pedrycz

    2026 SoftwareX. – T. 34, June 2026, Art. no 102636

    https://www.sciencedirect.com/science/article/pii/S2352711026001299?via%3Dihub

  • Sztuczna inteligencja w pracy lekarza

    Jarosław Protasiewicz

    2026 W: Mapa źródeł danych medycznych w Polsce / red. Aneta Sieradzka. – Warszawa : Fundacja AI One Health. – s. 54

    https://polpharma.pl/naukowa-fundacja-polpharmy/mapa-zrodel-danych-medycznych-w-polsce/#!fundament-ochrony-zdrowia-opartej-na-danych

  • 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

  • The Epistemic Shift in Science Communication: Strategic Foresight for the Future of Peer Review

    Cezary Biele, Jarosław Kowalski

    2026 SCIENCE COMMUNICATION. – T. 48

    https://journals.sagepub.com/doi/abs/10.1177/10755470261426817

  • 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

  • Virtual Reality as a Tool for Examining the Role of L1 and L2 in Enhancing Empathy and Reducing Ethnocentrism: Evidence From a Micro-Longitudinal Study

    Daniela Hekiert, Gabriela Górska, Iga Stasiak, Wojciech Milczarski, Magdalena Igras-Cybulska, Łukasz Kmiotek, Rafał Muda

    2026 International Journal of Bilingualism. – T. 30

    https://journals.sagepub.com/doi/10.1177/13670069261447430

  • 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