Update _posts/2024-04-16-pyos-open-education-resources-announcement.md

Co-authored-by: Leah Wasser <[email protected]>
pyOpenSci · Apr 16, 2024 · e03cfa4 · e03cfa4
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 Our vision for our free, online trainings is for the curriculum to be added to our library of open education resources, making them free, accessible, and published for anyone to use. And we intend to experiment with delivering this curriculum in an asynchronous, cohort-based manner that allows learners from all over the world to come together for a period of time to work through the curriculum together. If you were part of one of the original cohorts of the [R for Data Science Online Learning Community](https://dslc.io/) created by our Community Manager, [Jesse Mostipak](https://github.com/kierisi), then you know that these asynchronous trainings will be thoughtfully crafted, a fantastic learning experience, and a ton of fun!
 
-pyOpenSci is the recipient of the [Better Software for Science Fellowship](https://bssw.io/pages/bssw-fellowship-program), which will help fund the creation of these open educational resources. You can stay up to date with more information on these types of lessons through [our Discourse forum](https://pyopensci.discourse.group/) as well as [our mailing list](https://eepurl.com/iM7SOM).
+pyOpenSci is the recipient of the [Better Software for Science Fellowship](https://bssw.io/fellows/leah-wasser), which will help fund the creation of these open educational resources. You can stay up to date with more information on these types of lessons through [our Discourse forum](https://pyopensci.discourse.group/) as well as [our mailing list](https://eepurl.com/iM7SOM).
 
 These asynchronous trainings will be free, online, and center around community building and collaborative learning with larger cohort sizes. Part of the intention of these trainings is to foster a vibrant learning community where participants are empowered to learn from one another.