Community-Impact

Openscapes is hiring a NASA Openscapes Suborbital Team Member to engage with NASA suborbital science teams and support open science practices. This is a part-time contract position (20 hrs/week) starting as early as December 1, 2025, with a 6-month initial term and potential for extension.

2i2c has successfully completed a hardware exchange with Universidad Nacional de Córdoba’s Centro de Computación de Alto Desempeño (CCAD) through funding from the Catalyst Project. CCAD used funding to purchase new on-prem computing infrastructure, significantly expanding their computing capabilities.

Thank you to Emilio Mayorga for sharing this publication. Several community members, including Paige Martin (Australian Climate Simulator), Eli Holmes (NOAA Fisheries), and Emilio Mayorga (University of Washington) published case studies in Oceanography magazine’s “Vision for Capacity Sharing” issue.

We are proud to share that several of 2i2c’s community partners are presenting their work at AGU 2024! In each case, 2i2c’s infrastructure plays a part in helping communities create and share knowledge, and grow their community.

Cross-posted from the Catalyst Project blog Catalyst Project community partners using accessible cloud infrastructure for open science leadership and training. (clockwise from top-left) NNB-CCG, MUST, CICADA and INER. Photos courtesy of Shirley Alquicira Hernández, Bennett Kankuzi, María Inés Fariello Rico and Yalbi I.

Our partner EarthScope published a blog post about their cloud stack which includes heavy mention of 2i2c’s infrastructure model. Check it out!

Our partner OpenScapes recently took a trip to the White House to advocate for Open Science and the Open Source ecosystem, check out their blog post about the experience.

We’ve developed and are now offering a Communtiy Hub Champion training, see this blog post from the Catalyst Project for more details. Acknowledgements # Thanks to the Catalyst Project for this work.

The DeepLabCut Team # Animal pose estimation using deep neural networks. Courtesy of the DeepLabCut Jupyter Book The DeepLabCut team is a group of researchers and developers who are working on open source tools for analyzing animal pose estimation by training deep neural networks on videos.