Each year, our training and outreach staff help provide hands-on training at Arctic research conferences and in dedicated training sessions targeting early-career and under-represented populations. Training and outreach focus on effective means for long-term data management, following a curriculum developed and refined by the open science community. Applications for our 2025 courses are now rolling out!
Scalable and Computationally Reproducible Approaches to Arctic Research
Course Dates: April 7-11, 2025
Taught in-person at the National Center for Ecological Analysis and Synthesis, Santa Barbara, CA
This 5-day in-person workshop will provide researchers with an introduction to advanced topics in computationally reproducible research in Python, including software and techniques for working with very large datasets. This includes working in cloud computing environments, docker containers, and parallel processing using tools like parsl and dask. The workshop will also cover concrete methods for documenting and uploading data to the Arctic Data Center, advanced approaches to tracking data provenance, responsible research and data management practices including data sovereignty and the CARE principles, and ethical concerns with data-intensive modeling and analysis. This course is intended for Arctic researchers with a solid foundation in programming (R, python, or similar). The application deadline has been extended- apply by November 29th!
Topics include:
- Scalable computing
- Cloud computing concepts
- Docker environments
- Remote computing
- Parallel processing and concurrency
- Large data transfer, data staging
- Data extraction
- I/O efficiency
Eligibility
Participation in all workshops is limited. We encourage both early-career and established researchers from the Arctic research community to apply. Selection will be based on:
- Current research or work activities
- Previous experience with open science practices, data management techniques, and analysis methods
- Access to training in these areas, both current and former
Priority will be given to individuals currently funded through NSF Polar Programs.
How to Apply
Applicants should complete the online application form at the link above. The application form requests basic demographics in addition to information about research background and data science training and skills. Please also submit a 2-page Curriculum Vita in PDF format.