What we do

At Openscapes, we champion open practices in environmental science to help uncover data-driven solutions faster. Regardless of research question, environmental scientists are united by the need to analyze data — and to do so in a way that is efficient, reproducible, and easily communicated. With tools specifically created to meet modern demands for collaborative data science, we help create a positive open culture to enable better science in less time. Here’s how:



Engage

We build awareness and excitement. We engage scientists with the possibilities of open data science with empathy, art, and storytelling, using narratives like our own path to better science in less time.

Empower

We help build confidence and skills. We empower scientists by connecting them with existing open software and communities that meet them where they are so they can develop the skills they need.

Amplify

We build champions and communities. We amplify scientists’ efforts through academic seminars as well as blogs and social media to increase the visibility of open practices on campus and online.

Champions Program

Openscapes Champions is a mentorship program that empowers science teams with open data science tools and grows the community of practice in the research group, organization, and beyond. Read how the 2019 Openscapes Champions have supercharged their research, and contact us about participating in the Champions program.

Operated by NCEAS and incubated by Mozilla

Openscapes bridges environmental synthesis science with the open movement. Learn more about us.

    

From our blog

Blog posts are both Openscapes stories and advice snippets for the community. Some are cross-posted on Medium.com. Also, see our media page for media, presentation slide decks, and publications.

How we work: the Buckley Lab

By Lauren Buckley on January 16, 2020

Dr. Lauren Buckley spent her fall sabbatical at NCEAS, where she chatted with Julie Lowndes about her lab practices and open data science. Here she shares how she is using practices from Openscapes in her own research group at the University of Washington. Learn more about her research at faculty.washington.edu/lbuckley. Thermal art of the Getty Museum by one of Dr. Buckley’s research initiatives @trenchproject.

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Openscapes 2020

By Julie Lowndes on January 5, 2020

Openscapes’ vision is a scientific culture that is more efficient and collaborative, and can uncover data-driven solutions faster. We engage and empower scientists with open data science, which not only increases transparency and reproducibility in science, but also enables kinder science. This is a brief recap of how we began doing this in 2019 and how we will continue in 2020. 2019 Review 2019 was a big year for Openscapes, full of firsts, excitement, and a lot of learning.

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Towards kinder science

By Julie Lowndes on December 11, 2019

Towards kinder science Earlier this week I published a piece in Scientific American called Open software means kinder science. It’s about how open source is not only good for science, it’s good for scientists. Having science be not only more transparent and reproducible but also more kind and inclusive is a huge part of what Openscapes is working towards. Art by Allison Horst Open science is not just about improving the way we share data and methods; it is also about improving the way we think, work and interact with each other.

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Supercharging research with open data science and teamwork

By Julie Lowndes on October 31, 2019

Supercharging research with open data science and teamwork Today we published a piece in Nature’s Career Column called Supercharge your research: A 10-week plan for open data science, and we are so thrilled to share this with the community. Co-authored with group leads from our inaugural Openscapes cohort – Halley Froehlich, Allison Horst, Nishad Jayasundara, Malin Pinsky, Adrian Stier, Nina Therkildsen, and Chelsea Wood – it really summarizes what we learned with the entire first cohort of Openscapes Champions and aims to welcome others to engage in open data science.

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