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The HSF Training Activity Area aims to help the research community to provide training in the computing skills needed for researchers to produce high quality and sustainable software. The group works with experiment training groups, HEP initiatives (such as IRIS-HEP and FIRST-HEP) and organisations like Software Carpentry to coordinate training activities.

The group aims to develop a training program that can be pursued by researchers to achieve the level of required knowledge. This ranges from basic core software skills needed by everyone to the advanced training required by specialists in software and computing.

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The GRAY SCOTT SCHOOL 2026 will be a deep dive into High Performance Computing, computing optimisation, profiling, and software engineering. Before the summer school, Gray Scott Thursdays are 17 webinars to guide you through important topics such as CPU/GPU architectures, Unit Tests, Computing Precision, Memory Allocation and profiling, with modern C++, Rust, Fortran and Python languages, and libraries such as Sycl, EVE, Vulkan, CUDA, Thrust, PyTorch.

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## Our History

The ATLAS Open Data project was [initiated in 2011](https://www.interactions.org/press-release/high-school-students-analyse-first-time-real-lhc-data) as part of the Education and Outreach program. 

Our first significant releases of proton-proton collision data were made available in [in 2016 for 8 TeV collisions](https://cds.cern.ch/record/2624572/files/ATL-OREACH-PUB-2018-001.pdf) and later [in 2020 for 13 TeV collisions](https://cds.cern.ch/record/2707171/files/ANA-OTRC-2019-01-PUB-updated.pdf).

In 2024, ATLAS began to release Open Data for the purpose of scientific research, with [13 TeV proton-proton collisions](https://atlas.cern/Updates/News/Open-Data-Research) followed by the first [release of Heavy Ion collision data](https://atlas.cern/Updates/News/Heavy-Ion-Open-Data). 

Several new releases are underway, including an [updated, four-times-larger release of Open Data for Education and Outreach](https://opendata.atlas.cern/docs/data/for_education/13TeV25_details) and the first release of [event generation output](https://opendata.atlas.cern/docs/data/for_research/evgen_data) to support theoretical and phenomenological research.


# Our Mission

The ATLAS experiment at CERN generates large, rich, and unique datasets from high-energy proton and heavy-ion collisions within its detector, using them to explore the fundamental properties of particles in the Universe. The ATLAS Collaboration is committed to the progressive release of its data for public use, aiming to support educational initiatives, foster citizen science, and enhance the potential for scientific research.

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HSF-India is a US National Science Foundation (NSF) funded project that began on October 1, 2022. HSF-India aims to join collaborative networks in India to networks in the U.S. and Europe in order to build the international research software collaborations required to reach the science goals of next-generation particle, nuclear and astroparticle physics experiments including the High-Luminosity Large Hadron Collider at CERN, the Deep Underground Neutrino Experiment at Fermilab, and the Electron Ion Collider at Brookhaven National Laboratory. To fully realize their discovery potential a new generation of software algorithms and approaches is required. Building these research software collaborations is challenging and inherently international matching the international nature of the experimental undertakings themselves. HSF-India will provide students, postdocs and early career personnel significant experience in international team science through engagement in a diverse research community.

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The CERN School of Computing (CSC) organises a series of international schools, covering various aspects of scientific computing for high-energy physics and other data-intensive sciences.

These schools are aimed at postgraduate (minimum of Bachelor degree or equivalent) engineers and scientists, working at CERN or at other research institutes, with experience in particle physics, computing or related fields. [Learn more](https://csc.web.cern.ch/schools/).

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IRIS-HEP is a software institute funded by the National Science Foundation. It is developing state-of-the-art software cyberinfrastructure required for the challenges of data intensive scientific research at the High Luminosity Large Hadron Collider (HL-LHC) at CERN, and other planned HEP experiments of the 2020’s. These facilities are discovery machines which aim to understand the fundamental building blocks of nature and their interactions. [Full Overview](https://iris-hep.org/about/overview.html)

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QuarkNet is dedicated to developing and broadening participation in America’s STEM workforce by engaging high school teachers and students in current particle physics research. QuarkNet is a partnership between Fermilab, the University of Notre Dame, and 50 research centers across the United States.
- We are teachers, gaining experience in physics research while developing our talents and classroom effectiveness within a network of peers with whom we grow as professionals.
- We are professional physics researchers, extending our educational impact and engaging with our local communities.
- We are experimental collaborations, sharing our experience and our data with teachers and students.
- We are the QuarkNet staff, a team of dedicated education professionals facilitating these interactions and creating new opportunities for our participants.

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The CERN Schools of High-Energy Physics include two series:

- The European School.
- The Latin-American School that is organised once every two years. 

CERN also participates strongly in the organisation of the Asia-Europe-Pacific School of High-Energy Physics that is organised every two years.

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The school on Computational and Data Science for High Energy Physics (CoDaS-HEP) was created to fill a void in the training of graduate students and postdocs working in HEP. Training young researchers in the latest computational tools and techniques is essential to their future careers in both research and industry. To be successful today’s grad students require a mix of particle physics domain knowledge and advanced software skills. Relevant computing topics are however often missing from traditional physics coursework and, as young researchers begin their active research careers, they discover the need for these skills, but are no longer in a position to follow such courses.

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Internation Particle Physics Outreach Group

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A network of scientists, science educators and communication specialists working across the globe in science education and public engagement for particle physics. Particle physics is the science of matter, energy, space and time. IPPOG brings new discoveries in this exciting field to young people and conveys to the public that the beauty of nature is indeed becoming understandable from the interactions of its most fundamental parts - the elementary particles.