Tomaso Aste

 

Tomaso Aste is professor of complexity science at UCL Computer Science Department. A trained Physicist, has substantially contributed to research in complex systems modeling and complex data analytics. His research activity concerns predictive analytics by using network theoretic and statistical physics tools. He is passionate in the application of Blockchain Technologies to domains beyond digital currencies. He is Scientific Director of the UCL Centre for Blockchain Technologies; Head of the Financial Computing and Analytics Group; Programme Director of the MSc in Financial Risk Management; Vice-Director of the Centre for doctoral Training in Financial Computing & Analytics; Member of the Board of the ESRC LSE-UCL Systemic Risk Centre. Prior to UCL he held positions in UK and Australia. He is consulting for financial institutions, banks and digital-economy startups.
 
 
 
Predictive modeling for a complex world: a data-driven perspective

We all experience complexity in everyday life where simple answers are hard to find and the consequences of our actions are difficult to predict. Understanding and modeling the complex nature of markets, peoples and societies have become a crucial scientific challenge with great practical impact. The current big-data revolution has provided unprecedented access to large amount of data for modeling and forecasting complex systems. However, analyzing, understanding, filtering and making use of such a large amount of data have also become a challenge in itself.
I will present methodologies based on the combination network theory, statistical physics, data science, multiscale analysis and computational methods to unwind complexity and produce robust and meaningful models that are capable to make reliable predictions.

 

News

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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Workshops

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

Italy

 

ISC - CNR

Roma, Italy

 

Technical University of

Crete Chania, Greece

 

Aristotele University of

Thessaloniki, Greece

 

N.C.S.R. Demokritos

Athens, Greece

 

University of Leuven

Belgium

University of Cagliari

Italy

 

AFEA Company

Athens, Greece

 

 

Entropy

MDPI publisher

 

 

EPJ B

edp Scince publisher

 

 

Springer publisher