Date: 30 - 31 July 2026

Timezone: UTC

Language of instruction: English

Speakers: Matthew Feickert (University of Wisconsin Madison (US)), Gordon Watts (University of Washington (US))

The joint IRIS-HEP computational and data science software training event will take place from Thursday 30 July through Friday 31 July, 2026 at the University of Arizona. The training event will be co-located with the 2026 US ATLAS Summer Workshop in Tucson, Arizona.
Training event materials GitHub repositoryWorkshop communication will take place on the IRIS-HEP Slack channel Advanced software is a critical ingredient to scientific research. Training young researchers in the latest tools and techniques is an essential part of developing the skills required for a successful career both in research and in industry.
Specific topics to be covered at the school include:

Columnar analysis and uproot 

Distributed analysis and Dask
Data Visualization techniques and libraries
Using the UChicago Analysis Facility
Statistical tools

 
The school offers a limited number of young researchers an opportunity to learn these skills from experienced scientists and instructors. Successful applicants will receive travel and lodging support to attend the school. Thank you to everyone who applied!
Instructor Team

Matthew Feickert, University of Wisconsin-Madison
Artur Cordeiro Oudot Choi, University of Washington
Gordon Watts, University of Washington
Giordon Stark, UC Santa Cruz

Organizing Committee

Matthew Feickert, University of Wisconsin-Madison
Gordon Watts, University of Washington

Local Organizers

Rachel Hyneman, University of Arizona

 

This event is sponsored by the National Science Foundation through Cooperative Agreement PHY-2323298 (Institute for Research and Innovation in Software - IRIS-HEP). Any opinions, findings, conclusions or recommendations expressed in this material are those of the developers and do not necessarily reflect the views of the National Science Foundation.

https://indico.cern.ch/event/1633749/

Contact: matthew.feickert@cern.ch


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