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Virtual Training for Collaboration in Environmental Data Science¶

This work is licensed under a Creative Commons Attribution 4.0 International License.

Welcome to the Environmental Data Science Innovation & Inclusion Lab (ESIIL)! These training sessions are intended to provide attendees to the ESIIL Innovation Summit with some technical background to help foster innovation and collaboartion during the summit. Through this training, attendees will learn how to access and engage with cloud-based communication and computational tools that will be relied on throughout the summit, fundamental Environmental Data Science (EDS) skills using R and Python, and ways to make your science open and reproducible. These sessions are being recorded and published on KIStorm for anyone who is unable to attend, or for those who would like to go back and revisit these lessons. Finally, we will have super-fun virtual and in-person help desks set up during the summit as questions come up and for anyone who would like help troubleshooting.

Agenda¶

Each session will run from 12pm - 2pm Mountain Daylight Time and will meet virtually over Zoom.

Current local time in
Boulder, United States

Day 1 (Wednesday May, 17)¶

Collaborating with Other People Using Cloud Computing¶

Instructors: Culler, CyVerse Team, Greaves, Tuff, Verleye

Welcome!

Navigating KIStorm (Greaves) ⚡

Navigating the Constellation of Cyberinfrastructure (CyVerse Team, Tuff, Verleye)

CyVerse Discovery Environment ✨

JetStream2 🚀

GitHub for Collaboration (Culler, Tuff, Verleye) 🤝

GitHub Pages Instructions

Day 2 (Thursday May, 18)¶

R and Python Bilingualism: How to Talk to Everybody¶

Instructors: Culler, Tuff

Day 3 (Friday May, 19)¶

Tools for Keeping Your Science Open and Reproducible¶

(borrowed from the CyVerse Foundational Open Science Skills 2023 open online course)

Instructors: CyVerse Team

Introduction to Open Science

Documentation & Communication

Repeatability and Reproducibility