The Alma Dal Co School on Collective Behaviour
29th September – 4th October, 2025
Palazzo Franchetti, Venice, Italy

The Alma Dal Co School will focus on collective behaviour across biological systems, from cells to communities, and will use a highly interactive format to foster knowledge exchange between disciplines and career stages. Early career scientists, from PHD student to starting group leaders, are welcomed participants.

Deadlines
Application 28th February, 2025 (23:59 CEST)
Registration 2nd May, 2025

Website: https://almadalcoschool.github.io/

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 aimed 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 covered 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.

https://www.aisociety-unipd.it/autumn-physics-of-data-workshop-2024/

The International School on AstroParticle Physics 2024 aimed to expose young researchers to the broad theoretical landscape of dark matter particle candidates. Topics included motivated candidates from the top-down, early universe scenarios for dark matter genesis, and detection strategies.

https://indico.dfa.unipd.it/event/864/

The modeling and the theoretical interpretation of complex natural phenomena from large amounts of data are at the core of the research in Physics. The Big Data revolution presents in this sense the challenges and opportunities for the physicists of today. This workshop provided an overview of the possible open problems and research paths in several that physicists of Data can tackle thanks to their training. Topics in Fundamental Physics, Astrophysics, Physics of Complex Systems, Quantum and Machine Learning were presented through international researchers and young scholars, as well as alumni of the Physics of Data Master.

https://www.aisociety-unipd.it/spring-workshop-on-physics-of-data-2024/

The Quantum Computing and Simulation Center (QCSC) of Padova, Aqtivate and Engage Maria Skłodowska Curie Phd held a three-week event targeted at PhD students and young Postdocs on Quantum Computing and Tensor Networks.

The event brought together emerging researchers in the field of quantum computing, providing an intensive learning experience and networking opportunity. Participants engaged in lectures, workshops, and hands-on sessions exploring the latest advancements in quantum computing technologies and tensor network methods. The successful gathering fostered collaboration and knowledge exchange among the next generation of quantum scientists and engineers.

https://indico.dfa.unipd.it/event/1038/

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 then developing predictive models and analyses.

In this sense, the grand societal challenges also represent an opportunity for today’s physicist. In particular, we identify three major areas that are 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 in 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 met with top experts from both the academic and corporate worlds capable of activating formative processes in students to make critical and mature synthesis of these societal transformations.

https://www.aisociety-unipd.it/physics-of-data-and-societal-challenges-workshop-2023/

The goal of the meeting is to strengthen the links among the different Italian groups working in the field of condensed matter theory.

The conference was divided in five sections covering approximately all CMT fields. Each section was introduced by a reknowned speaker (keynote) followed by four invited talks by younger scientists (Post PhD level).

A very inclusive poster section was devoted to younger scientists (Master, PhD students,...)

The conference was the ideal continuation of the Fai della Paganella conference that strongly contributed to the building of a tight community feeling between the diverse but related scientific fields.

https://cmtconference.it/CMT_2023/index.html

The modeling and the theoretical interpretation of complex natural phenomena from large amounts of data are at the core of the research in Physics. The Big Data revolution presents in this sense the challenges and opportunities for the physicists of today.

This workshop provided an overview of the possible open problems and research paths in several areas that physicists of Data could tackle thanks to their training. Topics in Fundamental Physics, Astrophysics, Physics of Complex Systems, Quantum and Machine Learning were presented through international researchers and young scholars, as well as alumni of the Physics of Data Master.

https://www.aisociety-unipd.it/spring-workshop-on-physics-of-data-2023/

The busy week was proposed (by Stefan Stroebele) at the Kick-off meeting as an effective way to boost activity and communication. It was decided to have two busy weeks during the phase A, the first one in Europe early in the phase A (05/2019) to kick start the project and the second one in Australia close to the end of the phase A (02/2020) to work on the final phase A document writing. The Asiago Observatory, managed by INAF - Padova Observatory and University of Padova, was picked for the first busy week.

http://mavis-ao.org/mavis/2019/05/23/asiago-busy-week.html