[phys4phys] Podsetnik: Naučno-stručni skup AOB - sreda 10.6.2026. u 13h

[Natasa Bon]

Poštovane kolege,

Podsećam vas da će se sutra, 10. juna u 13h u biblioteci Astronomske 
opservatorije održati Naučno-stručni skup.

Predač je dr Andreja Stojić, naučni savetnik na Institutu za fiziku, 
Beograd.

U nastavku su podaci o predavanju:

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Towards a Context-Aware, AI-Enhanced Paradigm for Air Quality Analysis

Contemporary environmental science insufficiently recognizes the 
complexity of the factors that shape the evolution of pollution in the 
environment. Air quality is a clear example. Pollutant concentrations 
are influenced by physico-chemical transformations, climatic and 
meteorological conditions, interactions with other environmental media, 
solar-driven cycles, topography, urban structure, and many other 
interdependent factors. As a result, the spatio-temporal distribution of 
air pollution emerges from a highly complex system of interactions that 
can only be partially reconstructed through available concepts, data, 
methods, and interpretative frameworks.

The presentation will address methodological concepts that place air 
quality analysis within a broader shift in scientific paradigms: from 
empirical observation and theoretical modelling toward computational and 
data-intensive environmental science. The central aim is to transform 
data into facts, facts into knowledge, knowledge into insight, and 
insight into a basis for better environmental decisions. This requires 
not only measurements and traditional modelling approaches, but also 
contextualization, adequate data infrastructure, advanced analytical 
methods, expertise, and interpretation.

Artificial intelligence, model interpretation, optimization, uncertainty 
analysis, geospatially fused big-data analysis, visualization, and 
decision-support concepts are considered as components of a new 
analytical paradigm. Their value lies in supporting the investigation of 
nonlinear, multi-factorial, and spatio-temporal pollution dynamics that 
cannot be fully captured by traditional approaches, isolated 
observations, or simplified experimental settings. Within this context, 
the crAIRsis and ATLAS projects, supported by the Science Fund of the 
Republic of Serbia, along with several applied projects funded by city 
administrations across Serbia, demonstrate a broader methodological 
transition from fragmented and retrospective air quality analysis toward 
integrated, context-aware, scalable, and decision-oriented environmental 
intelligence. The broader implications of this paradigm include deeper 
understanding of pollutant behavior, improved interpretation of air 
quality evolution, stronger support for responsive assessment, more 
reliable environmental governance, and better translation of scientific 
knowledge into public-health-oriented and sustainability-oriented 
decisions.


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Srdačan pozdrav,
dr Nataša Bon
Koordinator seminara AO

-- 
dr Natasa Gavrilovic Bon
Associate Research Professor
web site: http://nbon.aob.rs/
Astronomical Observatory Belgrade
Volgina 7
11160 Belgrade, Serbia
Tel:+381 11 3089 068
Fax:2419 553