Scalable and Computationally Reproducible Approaches to Arctic Research

Held in person at National Center for Ecological Analysis and Synthesis in Santa Barbara, CA.
March 25th – March 29th, 2024

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.

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

Application closed on January 12, 2024.

Eligibility

Space for alll workshops are limited. Both early career and established researchers from the Arctic research community are encouraged to apply. Participants will be selected on the basis of their current research or work activities; their previous experience with open science practices, data management techniques and analysis methods; and their current or former opportunities to access training in these areas. We will prioritize applications from 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.