Autumn Physics of Data Workshop 2024
In the face of unprecedented global challenges such as climate change, public health crises, and the rapid advancement of digital technologies, the role of data-driven physics is more crucial than ever. The intersection of physics with data science, machine learning, and quantum technologies is unlocking new opportunities to address some of society’s most pressing issues.
This workshop aims to explore the frontiers of physics, data, and technology, with a focus on groundbreaking developments in particle physics, quantum computing, epidemiology, and energy markets. Through this interdisciplinary lens, the event will cover a wide spectrum of topics, ranging from simulations for Large Hadron Collider (LHC) events and real-time data selection at the CMS experiment, to advancements in quantum computing and tensor networks, and the statistical mechanics of transfer learning.
Key challenges such as antimicrobial resistance will be examined through machine learning and synthetic data, while novel approaches to integrating socio-economic variables into epidemic models will also be discussed. The workshop will additionally highlight the role of technology and expertise in industrial innovation projects, alongside pressing topics like the Italian electricity market and its transformation through data science.
This event provides a unique platform for participants to engage with leading experts from academia and industry. It offers the opportunity to deepen their understanding of the rapidly evolving landscape of data physics, while cultivating skills and insights that are vital for addressing the grand societal challenges of today and tomorrow.
Accommodation in Asiago will be covered thanks to the UNIPD grant in teaching innovation.
Organizers: prof. A. Triossi, prof. J. Pazzini, prof. M. Zanetti, prof. S. Suweis, prof. C. Poletto, prof. M. Allegra, prof. M. Baiesi, prof. A. Renzi, prof. I. Siloi, prof. G. Iorio, prof. C. Mordini, A.S. Bains, J. Carotenuto, E. Coradin, G. Doda, M. Goudarzi, A. Ponomareva, H. Sabzi, M. Shnaider, L. Vigorelli, M. Yavas
Workshop organizational support: Paola Zenere
WHEN
27 - 28September 2024
Accomodation
Registration form
To ensure we have accurate and up-to-date information, we kindly ask you to take a moment to complete this registration form
PROGRAM
Friday 27
11.00 – 11.30 Welcome coffee + Registration
11.30 – 11.45 Introduction
11.45 – 12.30 Andrea Rizzi – FlashSim: a flow matching based approach to LHC event simulation
12.30 – 14.00 Launch break/discussion
14.00 – 14.45 Gianluca Cerminara – Real-time data selection in particle physics: the trigger of the CMS experiment @ HL-LHC
14.45 – 15.30 Giuseppe Magnifico – Quantum Computing and Tensor Networks methods
15.30 – 16.15 Tommaso Faorlin – A journey from Physics of Data to trapped ion quantum computing
16.15 – 16.45 Coffee break/discussion
16.45 – 17.30 Michele Tizzoni – Generalized Contact Matrices Allow Integrating Socio-economic Variables into Epidemic Models
17.30 – 18.15 Chiara Brighenti – The role of technologies and expertise in innovation projects at SATE
18.15 – 18.45 Open discussion
20.00 Dinner
Saturday 28
9.00 – 9.45 Alessandro Ingrosso – Statistical mechanics of transfer learning in the proportional limit
9.45 – 10.30 Federico Ricci Tersenghi – Phase transitions and algorithmic thresholds for optimization and inference problems on sparse random graphs
10.30 – 11.00 Coffee break/discussion
11.00 – 11.45 Stefano Torniamenti – Understanding black holes in the era of gravitational waves
11.45 – 12.30 Claudia Sala – Fighting AntiMicrobial Resistance through Machine Learning and Synthetic data
12.30 – 14.00 Lunch
14.00 – 14.45 Maurizio Monaco & Luca Ciuffreda – Developing an AI service: lessons learned from a real case
14.45 – 15.30 Noemi Manara – Data Science for the Italian Electricity Market: Challenges and Opportunities
15.30 – 16.00 Open discussion
16.00 – 16.30 Farewell coffee