W4. Climate and Environment

Workshop organized by:
- D. Hristopulos 
- S. Blesic


Section I

Statistical Physics and Machine Learning for Environmental Modeling

 D. Hristopulos 

The aim of this inter-disciplinary workshop is to bring together theoretical, experimental and computational contributions that focus on the understanding and modeling of environmental processes and datasets.  Statistical, stochastic, and machine learning methods, which are routinely used to analyze and extract information from complex patterns in environmental datasets, have strong links with statistical physics. This workshop aims to highlight such connections and the applications of stochastic, machine learning, and statistical physics approaches in climate and the environment.  

A non-exclusive list of topics of interest includes computational and theoretical methods for the analysis of large spatiotemporal data sets, causality detection in environmental and climate series, methods that address multi-scale interactions, applications of Gaussian process regression and other machine learning methods to spatiotemporal environmental datasets, simulation of non-Gaussian heterogeneous media, applications of stochastic differential equations to environmental and ecological processes, change-of-scale methods for spatiotemporal systems, applications of complex network theory to hydrological processes, and estimation of long-range correlations. Physical phenomena of interest include environmental flow and pollutant transport, natural hazards (earthquakes, fires, avalanches, floods, and landslides), extreme meteorological and hydrological events, atmospheric precipitation, and ocean waves. 


Section II

Understanding climate, contributing to overall adaptation efforts

 S. Blesic

The most pressing issues facing current interdisciplinary efforts that deal with the complexity of climate change are in advancements in understanding and explaining the physical basis of climate dynamics realized, in parallel, with utilization of that knowledge to effectively contribute to new lines of research that will develop innovative applications that drive particularly adaption efforts. This workshop will be organized to showcase current research and research potential of both paths. Statistical physics community has already done a lot of important work in understanding climate variability. Therefore, the workshop will present statistical physics approaches to understanding of physical aspects of climate phenomena. The workshop will be extended with work that investigates various physical and non-physical phenomena in climatic context, thus contributing to the overall adaptation efforts. These kinds of investigations have an additional appeal, particularly to statistical physics community that standardly works in interdisciplinary areas, for they usually bring together researchers, practitioners and communities with discrete expertise, in order to better understand climate change and its impacts. Focuses of these researches are different but areas of interest are vast and can include any critical issue that climate change threatens to seriously exacerbate. What statistical physics can offer in this context is data- or model-led understandings that are of wider value to the scientific community and applicable local-scale insights.



SigmaPhi Prizes

The SigmaPhi Prize for 2020 and SigmaPhi Prize for 2023 have been awarded during SigmaPhi2023 Conference to

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SigmaPhi Awards

During the conference, four works selected out of all the oral and poster presentations have been awarded.

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SigmaPhi 2023 Europhysics Conference

The European Physical Society (EPS) has recognized the SigmaPhi 2023 as Europhysics Conference.

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W1. Quantum Physics and Machine Learning

Workshop organized by:F. Caruso

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W2. Data Science and Econophysics

Workshop organized by:P. Argyrakis

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W3. Complex Networks: Hidden Geometry and Dynamics

Workshop organized by:N. Gupte, M.M. Dankulov and B. Tadic

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W4. Climate and Environment

Workshop organized by:- D. Hristopulos - S. Blesic

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W5. Statistical physics of biophysical systems

Workshop organized by: A. Deutsch and B. Hatzikirou

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W6. Statistical physics methods for power grids

Workshop organized by:G. Odor and C. Beck

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W7. Fluctuations in Physics

Workshop organized by:F. Oliveira

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W8. Thermalization of Nonintegrable Many-Body Systems

Workshop organized by:S. Flach

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W9. Fifty years of the renormalization group

Workshop organized by:A. Aharony

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W10. Non-Extensive Statistical Mechanics and Kappa Distributions

Workshop organized by:G. Livadiotis, M. Leubner, P. Yoon and K. Dialynas

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Special Sessions

S1. Spin Glass Theory and Beyond

Special Session organized by E. Marinari and G. Parisi

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S2. Entropies and Correlations in Complex Systems

Special Session organized by V. Ilić, J. Korbel and S. Gupta

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S3. Holographic and other cosmologically relevant entropies

Special Session organized by P. Jizba and G. Lambiase

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S4. Quantum Long-Range Systems

Special Session organized by A. Trombettoni, S. Ruffo and D. Mukamel

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Scientific Sponsors 2023


Statistical and Nonlinear

Physics Division 

Politecnico di Torino




Roma, Italy


Technical University of

Crete Chania, Greece


Aristotele University of

Thessaloniki, Greece


N.C.S.R. Demokritos

Athens, Greece


University of Leuven


University of Cagliari



AFEA Company

Athens, Greece




MDPI publisher




edp Scince publisher



Springer publisher