#2i2c

2023-07-16

Thank you to all our collaborators listed below who have helped create content for Computational Tools for Climate Science!

It wouldn't have been possible without your incredible contributions 💯🎉

@ProjectPythia is an educational resource for the entire geoscience community, providing open-source, Python-centered learning materials. 🐍 #ProjectPythia

@Linked_Earth has been instrumental in collecting and analyzing valuable data, helping us understand our changing planet. 🌎 #LinkedEarth

The Coupled Model Intercomparison Project (CMIP) is a collaborative framework designed to improve our knowledge of climate change, facilitating multi-model comparisons and making data publicly available. 📊 #CMIP

ClimateMARGO provides a framework for optimizing climate change control strategies, bridging the gap between climate science and policy-making. 💚 #ClimateMARGO

Learning the Earth with Artificial Intelligence and Physics (LEAP) is merging climate science expertise with cutting-edge machine learning algorithms, advancing near-term climate projections. ⚡️ #LEAP

@ClimateChangeAI is an organization that brings together experts from academia, industry, and beyond, harnessing the power of machine learning to tackle climate change. 🤝 #ClimateChangeAI

@2i2c_org is a non-profit project of Code for Science and Society, fostering open communities and leveraging expertise in cloud engineering and open source to advance research, education, and collaboration worldwide. 🌍 #2i2c

@GeoLatinas is an empowering community dedicated to embracing, promoting, and inspiring Latinas in pursuing and thriving in careers in Earth and Planetary Sciences, providing tools, inspiration, and bridging gaps for success in the field. 🌎 #GeoLatinas

@GoogleDeepMind is at the forefront of artificial intelligence research addressing complex challenges and driving innovation across various domains, including climate science. 🤖#GoogleDeepMind

@NASATOPS is a transformative initiative driving the adoption of open science principles to create a more accessible and equitable scientific culture. 🚀#NASATOPS

We're grateful for your incredible contributions. Together, we're making a significant impact in understanding and addressing the challenges of climate change. 💚

Flyer 
Thank you to our content collaborators!

Logos of all the organizations mentioned in the post above
2023-05-31

@jonny ah yes, AWS' scam to make things seem "open" and "free" only to lure scientists into their private infrastructure and lock them in. Since I've pivoted to work more on #Sustainability than #Neuroscience lately, I was recently approached by someone to work on a research project using the datasets available on Amazon's Sustainability Data Initiative -- which I declined -- but I was amazed at how enticing they make this look. No wonder scientists fall into their trap!

If only open infra received that kinda marketing -- #climate scientists could then see how they could have both #OpenData AND the #OpenInfrastructure to host that data.

I've planted a seed into the minds of some of the @climatematch #JupyterHub #2i2c folks to consider not hosting on Amazon/Microsoft/Google Cloud infra and instead go for cleaner and greener alternatives that are not powered by #FossilFuel. According to this Dec 2019 wired article -- Amazon had the worst ratings of the 3 big players:
Overall Greenness: C-
Energy Efficiency: B
** Transparency: F **
Technological Innovation: Unknown

But the big draw for these evil private megacorps seems to be the "free credits" that they offer and scientists/labs/institutes that are not well funded end up choosing these private cloud service providers.

@investinopen sorry for the tag but thought of bringing this discussion to your attention since I am aware of the good work you are doing in trying to increase investments for open infrastructure. Thank you for your work!!

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