Seminar for
DECISION MAKING – THEORY, TECHNOLOGY AND PRACTICE

 

PROGRAM

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Predavanja možete pratiti i online putem MITEAM stranice Seminara Odlučivanje - teorija, tehnologija, praksa:
https://miteam.mi.sanu.ac.rs/asset/sEL32w8mjmruyeEqW

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Plan rada Seminara Odlučivanje - teorija, tehnologija, praksa za JUN 2026.

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Četvrtak, 04.06.2026. u 13:00, Online
Aleksandar Stanković, Faculty of Technical Sciences, University of Novi Sad
TEMPOTRIADS: STREAMING ESTIMATION OF TEMPORAL TRIADIC MOTIFS FOR SOCIAL-COMPUTING STREAMS
Social platforms and communication networks generate high-velocity interaction streams in which higher-order patterns, such as triadic closures, can reveal important mechanisms of reciprocity, transitivity, and conversational cascades. This talk presents TempoTriads, a streaming estimator for temporal triadic motifs under a sliding time window. The method maintains a compact reservoir of active wedges and applies Horvitz–Thompson weighting at closure time to produce unbiased, anytime estimates with calibrated uncertainty. TempoTriads supports directed and undirected graphs, as well as typed interaction regimes, making it suitable for social-computing and governance analytics. Experiments on public social interaction graphs show that the method achieves low relative error at practical memory budgets, while preserving an aggregate, privacy-aware view of temporal social structure.

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Utorak, 09.06.2026. u 14:15, Pariske Komune bb, Niš i Online
Melanija Mitrović, Faculty of Mechanical Engineering, University of Niš
AN INTRODUCTION TO CONSTRUCTIVE CALCULUS OF RELATIONS
Following A. Tarski, On the calculus of relations, Journal of Symbolic Logic 6 (1941), 73–89, “Aside from the fact that the concepts occurring in this calculus possess an objective importance and are in these times almost indispensable in any scientific discussion, the calculus of relations has an intrinsic charmand beauty which makes it a source of intellectual delight to all who become acquainted with it.” It is commonly accepted that binary relations are a mathematical way of talking about relationships that exist between pairs of objects. Such relations permeate every aspect of mathematics, of science, and of human affairs.
In this presentation, we will limit ourselves primarily to the constructive theory of binary relations defined on a set with apartness, focusing more specifically on the part of this theory called the constructive calculus of relations. Overall, we aim to provide a clear and understandable picture of constructive calculus of relations defined on a set with (non-tight) apartness, which we develop in Bishop’s style of constructive mathematics, BISH. The talk will draw primarily on our ongoing work M. Mitrovic, M. N. Hounkonnou, Constructive Calculus of Relations vs. Classical Calculus of Relations.
Joint meeting with the seminar Computer Science and Applied Mathematics.

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Četvrtak, 18.06.2026. u 13:00, Online
Kosovka Ognjenović, Institute of Economic Sciences
APPLYING THE STOCHASTIC FRONTIER MODEL TO ESTIMATE PAY DIFFERENCES AMONG WORKERS IN FULL-TIME AND PART-TIME JOBS: THEORETICAL AND PRACTICAL IMPLICATIONS
Stochastic frontier analysis employs econometric models to assess the efficiency of economic agents in reaching their market potential. In this paper, stochastic frontier analysis is used to measure deviations from potential market wages, translating these deviations into the inefficiency experienced by workers based on the observable characteristics. In this paper, this approach is applied to calculating the inefficiency of women in achieving potential market wages compared to men as an indicator of the pay gap. Because women more frequently choose flexible work arrangements, the sample was divided into part-time and full-time groups of workers, and the analysis was conducted on these two subsamples. The importance of a well-defined context, whether at the economic or organizational level, arises from the fact that underestimating the working-time component can diminish the perceived significance of the pay gap, potentially undermining public policies aimed at improving the position of lower-paid workers, advocating for greater pay transparency, and promoting equal opportunities. The methodological approach for testing these research assumptions is based on a wage model specified as a stochastic frontier and estimated separately for full-time and part-time employees in the wage sector. Using data from the household survey on income and living conditions for 2019–2020, the empirical analysis shows that the inefficiency of female workers in achieving potential market wages compared to men is 9.3% for full-time employees and 19.8% for part-time employees. This analysis has both theoretical and practical implications, as distinguishing these practices is important for monitoring pay transparency and understanding women’s preferences for part-time versus full-time employment.

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Četvrtak, 25.06.2026. u 13:00, Pariske Komune bb, Niš i Online
Sanja Stevanović, Mathematical Institute of the Serbian Academy of Sciences and Arts
CELIAC DISEASE AWARENESS AND ARTIFICIAL INTELLIGENCE: FROM PUBLIC UNDERSTANDING TO DIGITAL DIAGNOSIS
May is observed as Celiac Disease Awareness Month, making it an appropriate occasion to discuss both the public-health importance of celiac disease and the emerging role of artificial intelligence in its study. This seminar will begin with a general introduction to celiac disease as a chronic autoimmune condition triggered by gluten, emphasizing why awareness matters: many people remain undiagnosed, symptoms can vary widely, and early recognition can improve quality of life. The first part of the lecture will therefore focus on basic understanding, common misconceptions, and the importance of education among patients, families, schools, healthcare providers, and the wider community. The second part of the lecture will briefly review how artificial intelligence is being used to support celiac disease research and diagnosis, with emphasis on the technologies rather than detailed medical findings. Examples will include machine learning for screening and risk prediction, deep learning and computer vision for analyzing biopsy and endoscopic images, and AI-based tools that can help identify patterns in clinical or biomedical data. The lecture will also touch on important practical questions such as data quality, explainability, validation, and the role of AI as a support tool for medical experts. Overall, the lecture will show how AI can contribute to earlier detection, improved analysis, and new research directions in celiac disease, while keeping the main focus on awareness, understanding, and public education.

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