Autumn Physics of Data Workshop 2024
Extreme weather events, the emergence of infectious diseases, climate change, food-security big data, and technology advancements are some of the major challenges identified for the next decade, in the 2022 Global Risks report. These grand challenges require multidisciplinary approaches to be addressed, but the fundamental nature of the biophysical, physical, and environmental systems that define them calls physics of data to play a leading role, particularly in light of the digital transformation of many processes and the availability of large masses of data in so many areas that are the basis for developing predictive models and analyses.
In this sense, the grand societal challenges also represent an opportunity for today’s physicists. In particular, we identify three major areas of interest to next-generation physicists: 1) Epidemiology and precision Medicine; 2) Food, Environment and Climate; and 3) Technology, and Quantum Frontiers. To critically learn about and train skills that can help study these transformations and their impact on society, the Physics of Data and Societal Challenges project aims to provide students with interdisciplinary and extra-curricular training (including soft skills) through a series of seminars and two workshops. In this way, students will meet with top experts from both the academic and corporate worlds capable of activating formative processes in students to make a critical and mature synthesis of these societal transformations.
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 - 28
September 2024
Accomodation
Registration form
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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 Giuseppe Magnifico – Quantum Computing and Tensor Networks methods
14.45 – 15.30 Tommaso Faorlin – A journey from Physics of Data to trapped ion quantum computing
15.30 – 16.15 Michele Tizzoni – Generalized Contact Matrices Allow Integrating Socio-economic Variables into Epidemic Models
16.15 – 16.45 Coffee break/discussion
16.45 – 17.30 Chiara Brighenti – The role of technologies and expertise in innovation projects at SATE
17.30 – 18.15 Stefano Torniamenti – Understanding black holes in the era of gravitational waves
18.15 – 18.45 Open discussion
20.00 Dinner
Saturday 28
9.00 – 9.45 Gianluca Cerminara – Real-time data selection in particle physics: the trigger of the CMS experiment @ HL-LHC
9.45 – 10.30 Claudia Sala – Fighting AntiMicrobial Resistance through Machine Learning and Synthetic data
10.30 – 11.00 Coffee break/discussion
11.00 – 11.45 Alessandro Ingrosso – Statistical mechanics of transfer learning in the proportional limit
11.45 – 12.30 Federico Ricci Tersenghi – NA
12.30 – 14.00 Lunch
14.00 – 14.45 Maurizio Monaco – NA
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