2026 ARM Big Open Data Summer School

Monday, May 18, to Friday, May 22, 2026

The “Big Open Data Science Summer School” is geared toward students from undergraduates to early postdoctoral scholars. Planned activities include instructional talks, tutorials, and a mentored hackathon for attendees to work with ARM data and open-source software.

Mission

The overarching mission of the summer school is to enhance the scientific impact of ARM observations through the instruction of students in new techniques to gain insight into atmospheric processes using open science tools.

Objectives

• increase knowledge about the range of ARM observations, demonstrate innovative and methodologically sound use of those observations, and connect students to a variety of knowledgeable resources (e.g., ARM instrument mentors)

• introduce students to resources within ARM for high performance data-proximate computation

• equip students with a variety of techniques for comparing high-resolution model output with ARM observations to study a range of atmospheric processes

• apply artificial intelligence techniques to ARM data applications.

Organizers

Name	Affiliation	Links
Scott Collis	Argonne National Laboratory	Github
Joseph O'Brien	Argonne National Laboratory	Github
Jeri Knepper	Argonne National Laboratory

Instructors and Mentors

Instructor	Affiliation	Links
Mark Spychala	Argonne National Laboratory	Github
Adam Theisen	Argonne National Laboratory	Github
Robert Jackson	Argonne National Laboratory	Github
Bhupendra Raut	Argonne National Laboratory	Github
Bill Gustafson	Pacific Northwest National Laboratory	Github
Alyssa Sockol	University of Oklahoma/CIWRO	Github
Maria Cadeddu	Argonne National Laboratory
Connor Flynn	University of Oklahoma	Github
Hsi-Yen Ma	Lawrence Livermore National Laboratory	Github
Andrew Dzambo	CIWRO

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

1. Clone the 2026 ARM Summer School repository:

    git clone https://github.com/ARM-Development/arm-summer-school-2026

2. Move into the arm-summer-school-2026 directory

   cd arm-summer-school-2026

3. Create and activate your conda environment from the environment.yml file

   conda env create -f environment.yml
   conda activate arm-summer-school-2026-dev

4. Move into the notebooks directory and start up Jupyterlab

   cd notebooks/
   jupyter lab