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@@ -306,7 +306,7 @@ In four months, we published a shiny new peer review guide. In January 2023, we
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<!-- TODO: rename repo to "guide" (rename it to be metrics and then link to it) -->
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You can see more of our [peer review metrics on the myst markdown metrics dashboard here](https://www.pyopensci.org/peer-review-metrics/pyopensci-peer-review-stats)
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You can see more of our [peer review metrics on our MyST Markdown metrics dashboard here](https://www.pyopensci.org/peer-review-metrics/pyopensci-peer-review-stats)
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{: .button }
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@@ -368,7 +368,7 @@ There’s a strong demand for the work pyOpenSci is doing. Still, every nonprofi
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*How do we keep this going long-term?*
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Writing grants to bring in funding is essential, but I need to do more than just write grants. Writing grants takes tremendous energy, with only a ~10-20% chance of success. Also, grant calls usually focus on innovation rather than keeping a project maintenance.
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Writing grants to bring in funding is essential, but I need to do more than just write grants. Writing grants takes tremendous energy, with only a ~10-20% chance of success. Also, grant calls usually focus on innovation. They do not often support project maintenance and daily operations.
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To ensure that pyOpenSci is sustainable, we’re rolling out paid online training events. Paid events are a revenue model used by other nonprofits in our ecosystem:
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These paid events will support the low-cost training, event scholarships, free online tutorials, and resources we will continue to create and publish online.
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## What's next for pyOpenSci - The Road Ahead
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Our next training event is the inaugural pyOpenSci Fall Festival - a week-long event that teaches skills needed to:
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Our next training event is the inaugural pyOpenSci Fall Festival--a week-long event that teaches skills needed to:
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* Write cleaner, more modular code,
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* Package and share code,
@@ -403,7 +403,7 @@ Follow us on social platforms:
If you are on LinkedIn, you should subscribe to our newsletter too.
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If you are on LinkedIn, you should [subscribe to our newsletter, too](https://www.linkedin.com/newsletters/7179551305344933888/?displayConfirmation=true).
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<divclass = "notice"markdown="1">
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## About Me
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1.**NEON Data Skills Program** at NEON
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2.**Earth Analytics Program** at CU Boulder
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I'm now building **pyOpenSci** - a vibrant, active, and diverse community of practice that supports open science and the open-source software that drives that science.
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I'm now building **pyOpenSci**--a vibrant, active, and diverse community of practice that supports open science and the open-source software that drives that science.
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The programs I build have consistently stayed at the cutting edge of technology through continual evaluation and a data-driven approach. Throughout my career, I've observed significant gaps between the innovative tools being developed and the training scientists receive, which has driven my work in bridging these gaps.
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