Data Science Applications in Physics, Balkan Spring School in Tirana 2026

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Hall 412 B (FNS) (Faculty of Natural Sciences (FNS))

Hall 412 B (FNS)

Faculty of Natural Sciences (FNS)

Faculty of Natural Sciences, UT, Bulevardi "Zogu I", 25, Tirana 1016
Mimoza Hafizi (Faculty of Natural Sciences, University of Tirana), Olta Çakaj (Faculty of Natural Sciences, University of Tirana), Rudina Osmanaj (Faculty of Natural Sciences, University of Tirana), Nicola De Filippis (Politecnico di Bari / INFN Bari (IT)), Gerti Xhixha (Faculty of Natural Sciences, Tirana, Albania), Klaudio Peqini (Physics Department, Faculty of Natural Sciences, University of Tirana)
Description

"Data Science Applications in Physics"

  Balkan Spring School in Tirana 2026

"Data Science Applications in Physics" Balkan Spring School in Tirana 2026

The seventh edition of the School on Data Science aims to bring together students and early-career researchers from different countries who study and work in the field of physics and interdisciplinary sciences. It will be dedicated to an application-oriented spectrum in Physics, such as Elementary Particles, Astroparticles and Medical Physics.

The School is organized by the National Institute of Physics, the Academy of Sciences of Albania, and the Department of Physics, Faculty of Natural Sciences, University of Tirana. It is supported by the Polytechnic University of Bari, the National Institute for Nuclear Physics (INFN), Bari Section, the University of Pristina, Kosovo, ECAP-FAU, Germany, Institute for Corpuscular Physics, Spain and Royal Berkshire Hospital, UK.

The School will include lectures and hands-on sessions in the above-mentioned fields, with a focus on data analysis. It will take place from April 21 to 24, 2026, and international students are also invited to apply, with preference given to applicants from Balkan countries. Applications will be open until April 17, 2026.

Participation this year will be available in person and online, free of charge, and all participants will receive a certificate at the end of the School.

Please submit to the organizers in one page your letter of motivation in the following address: infoschool@ikf-akad.al

 

Requirements for the hands-on sessions:

  1. Students must have a Gmail account

 

Hands-on session links - Fermi-LAT from Riccardo Di Tria:

  1. AGN analysis: https://colab.research.google.com/drive/1mFU0DU8S5B-trqS0zk-3EIdiyNmm9l_n?usp=sharing
  2. Navigation file exploration: https://colab.research.google.com/drive/1BpDBRTbJmtJlILIC2ryJUL3HRGvvNqu3?usp=sharing
Physics school secretariat
    • Students’ registration
    • Opening speech
      Conveners: Prof. Mimoza Hafizi (Academy of Sciences of Albania), Prof. Gerti Xhixha (Department of Physics, Faculty of Natural Sciences, University of Tirana)
    • Lecture: Measurement uncertainty and traceability in data-driven physics
      Convener: Prof. Sefer Avdiaj (University of Pristina, Kosovo)
    • Lunch break
    • Lecture and hands-on session: Data Analysis in Particle Physics
      Convener: Dr Mirald Tuzi (Institute for Corpuscular Physics, Valencia, Spain)
    • Lecture: How physics, data and artificial intelligence improve cancer treatment in radiotherapy
      Convener: Dr Xhulia Dosti (Royal Berkshire Hospital, UK)
    • Lecture: Frontier of particle physics and data challenges
      Convener: Prof. Nicola De Filippis (Politecnico di Bari & INFN Bari, Italy)
    • Coffee break
    • Lecture: Higgs physics at the future circular collider
      Convener: Prof. Nicola De Filippis (Politecnico di Bari & INFN Bari, Italy)
    • Lecture and hands-on session: Efficiency estimation by pseudo-tracking with multiple RPC Chambers
      Conveners: Prof. Klaudio Peqini (Faculty of Natural Sciences, University of Tirana), Dr Ilirjan Margjeka (University of Tirana and Polytechnic University of Tirana (AL))
    • Lecture: Astroparticle Physics at high energies: Strategies and experiments in space and on the ground
      Convener: Prof. Elisabetta Bissaldi (Politecnico di Bari & INFN Bari, Italy)
    • Coffee break
    • Hands-on session: High-Energy gamma-ray data analysis with Fermi-LAT
      Convener: Dr Riccardo Di Tria (INFN Bari, Italy)
    • Hands-on session: Machine learning applications for science
      Convener: Prof. Nicola De Filippis (Politecnico di Bari & INFN Bari, Italy)
    • Coffee break
    • Lecture: Data-driven fundamental physics: Machine learning and statistical inference with high-energy neutrino telescopes
      Convener: Dr Alba Domi (ECAP-FAU, Germany)
    • Certificates distribution and closing speech