Sikimić, V. (2026). Navigating AI-Accelerated Science: An Intellectual Virtue Approach to Responsible Inquiry. Episteme, First View, 1–18. https://doi.org/10.1017/epi.2026.10140

Stecher, P. M., Sikimić, V., & Kahle, R. (2026). Do Different Artificial Neural Networks Think Alike? On the Feasibility of Cataloging Representations. Minds and Machines, 36(1), Article 17. https://doi.org/10.1007/s11023-026-09770-3

Sikimić, V. (2025). Fair or Flawed? Rethinking Grant Review with Generative AI. Synthese, 206(6), Article 282. https://doi.org/10.1007/s11229-025-05366-z

Fütterer, T., Goldberg, P., Bühler, B., Sikimić, V., Trautwein, U., Gerjets, P., Stürmer, K., & Kasneci, E. (2025). Artificial Intelligence in Classroom Management: A Systematic Review on Educational Purposes, Technical Implementations, and Ethical Considerations. Computers and Education: Artificial Intelligence, 9, Article 100483. https://doi.org/10.1016/j.caeai.2025.100483

Vučković, A., & Sikimić, V. (2025). Global Justice and the Use of AI in Education: Ethical and Epistemic Aspects. AI & Society, 40(4), 3087–3104. https://doi.org/10.1007/s00146-024-02076-x

Sikimić, V. (2025). From Data to Theory and Back: Why the AI Era Requires Philosophy. In H. A. Mieg and D. Morris (eds.), The Role of Theory, Berlin Universities Publishing, 189–202. https://doi.org/10.14279/depositonce-22440

Sikimić, V. (2024). Trust in Science During Global Challenges: The Pandemic and Trustworthy AI. In M. M. Resch, N. Formánek, A. Joshy and A. Kaminski (eds.), The Science and Art of Simulation: Trust in Science, Springer, Cham, 133–145. https://doi.org/10.1007/978-3-031-68058-8_9

Sikimić, V. (2023). Epistemic Inclusion as the Key to Benefiting from Cognitive Diversity in Science. Social Epistemology, 37(6), 753–765. https://doi.org/10.1080/02691728.2023.2258831

Vučković, A., & Sikimić, V. (2023). How to Fight Linguistic Injustice in Science: Equity Measures and Mitigating Agents. Social Epistemology, 37(1), 80–96. https://doi.org/10.1080/02691728.2022.2109531

Sikimić, V., Damnjanović, K., & Perović, S. (2023). (Dis)satisfaction of Female and Early-Career Researchers with the Academic System in Physics. Journal of Women and Minorities in Science and Engineering, 29(2), 25–50. https://doi.org/10.1615/JWomenMinorScienEng.2022038712

Sikimić, V., & Radovanović, S. (2022). Machine Learning in Scientific Grant Review: Algorithmically Predicting Project Efficiency in High Energy Physics. European Journal for Philosophy of Science, 12(3), Article 50. https://doi.org/10.1007/s13194-022-00478-6

Sikimić, V., & Herud-Sikimić, O. (2022). Modelling Efficient Team Structures in Biology. Journal of Logic and Computation, 32(6), 1109–1128. https://doi.org/10.1093/logcom/exac021

Sikimić, V. (2022). How to Improve Research Funding in Academia? Lessons From the COVID-19 Crisis. Frontiers in Research Metrics and Analytics, 7, Article 777781. https://doi.org/10.3389/frma.2022.777781

Sikimić, V., Nikitović, T., Vasić, M., & Subotić, V. (2021). Do Political Attitudes Matter for Epistemic Decisions of Scientists? Review of Philosophy and Psychology, 12(4), 775–801. https://doi.org/10.1007/s13164-020-00504-7

Perović, S., & Sikimić, V. (2020). How Theories of Induction Can Streamline Measurements of Scientific Performance. Journal for General Philosophy of Science, 51(2), 267–291. https://doi.org/10.1007/s10838-019-09468-4

Perović, S., Radovanović, S., Sikimić, V., & Berber, A. (2016). Optimal Research Team Composition: Data Envelopment Analysis of Fermilab Experiments. Scientometrics, 108(1), 83–111. https://doi.org/10.1007/s11192-016-1947-9

Frittella, S., Greco, G., Kurz, A., Palmigiano, A., & Sikimić, V. (2016). A Proof-Theoretic Semantic Analysis of Dynamic Epistemic Logic. Journal of Logic and Computation, 26(6), 1961–2015. https://doi.org/10.1093/logcom/exu063

Frittella, S., Greco, G., Kurz, A., Palmigiano, A., & Sikimić, V. (2016). Multi-type Display Calculus for Dynamic Epistemic Logic. Journal of Logic and Computation, 26(6), 2017–2065. https://doi.org/10.1093/logcom/exu068

Frittella, S., Greco, G., Kurz, A., Palmigiano, A., & Sikimić, V. (2014). Multi-type Sequent Calculi. Proceedings of Trends in Logic XIII, eds. A. Indrzejczak, J. Kaczmarek and M. Zawidzki, Łódź University Press, 81–93

Singh, P., Khuong, T. G. H., Sikimić, V., Rachmat, B. K., Ayonrinde, K., Ullah, I., … & Vanschoren, J. (2026). Position: AI Should Verify, Not Judge, Scientific Work. ICML 2026 AI for Science Workshop

Daamen, Y., Sikimić, V., & Lakens, D. (2026). The Intellectual Justice Scale: Measuring How Fairly People Engage With Knowledge. OSF preprint

Stecher, P., Radovanović, S., Sikimić, V., & Kahle, R. (2026). Features have life history. And we should care. arXiv. https://doi.org/10.48550/arXiv.2605.18789

Stecher, P., Radovanović, S., Sikimić, V., & Kahle, R. (2026). Scaffolded representation learning in deep networks. Research Square. https://doi.org/10.21203/rs.3.rs-9269961/v1

Sikimić, V., Radovanović, S., & Perović, S. (2018). When Should We Stop Investing in a Scientific Project? The Halting Problem in Experimental Physics. Proceedings of the XXIV Conference “Empirical Studies in Psychology”, 105–107

Sikimić, V. (2017). Interdisciplinarity in Contemporary Philosophy: The Case of Social Epistemology. Proceedings of the Science and Contemporary University 6 Conference, 19–26

Sikimić, V., & Berber, A. (2016). Contemporary Challenges in Moral and Legal Treatment of Animals. Belgrade Philosophical Annual, 29, 143–155. https://doi.org/10.5937/bpa1629143s

Berber, A., & Sikimić, V. (2015). The Moral Status of Animals (in Serbian). In S. Divjak & J. Babić (Eds.), Collected Papers of the International Philosophical School Felix Romuliana 2008–2015 (pp. 479–485). Zaječar

Sikimić, V. (2014). A Formal Solution to a Paradox of Democracy. Theoria, 57(2), 65–72. https://doi.org/10.2298/THEO1402065S

Eelink, G., & Sikimić, V. (2013). Defining Knowledge: Gettier-like Scenarios. Belgrade Philosophical Annual, 26, 7–22. https://doi.org/10.5937/bpa1326007e

Vučković, A., Sikimić, V., & Budić, M. (2026). The Future of Education in Digital Environments: Editorial for the Topical Collection AI in Education: Ethical and Epistemic Perspectives. Digital Society, 5, Article 10. https://doi.org/10.1007/s44206-026-00247-5

Sikimić, V., Stuart, M., & Shaw, J. (2022). Science Funding Policy and the COVID-19 Pandemic. International Journal of Risk & Safety in Medicine, 33(3), 211–216. https://doi.org/10.3233/JRS-227015

Sikimić, V. (2019). Optimization of Scientific Reasoning: A Data-Driven Approach [Doctoral dissertation, University of Belgrade]

Sikimić, V. (2013). Towards a Proof-Theoretic Semantics for Dynamic Logics [Master’s thesis, University of Amsterdam]. ILLC Publications, MoL-2013-27