NASA Roses Support for Open Source Tools and Libraries, NOI Due May 7th!

ChrisRackauckas
Sun, 21 Apr 2024 21:07:59 +0000
Community

NASA is running a new round of ROSES for supporting open source software. If you would like to contribute to the Julia community, one of the best ways would be to secure grants to get more students working on the ecosystem!

https://nspires.nasaprs.com/external/solicitations/summary.do?solId={910CC61E-4616-9958-C26F-F8D9BC5AB8D9}&path=&method=init

SMD seeks proposals for the improvement and sustainment of existing high-value,
open-source tools, frameworks, and libraries that have significantly impacted the SMD
science community. We are seeking proposals that satisfy the following objectives:
• Open-source software tools, frameworks, and libraries that have significant
usage in the NASA science community, were developed following open and
collaborative practices, and are aligned with the scientific vision and data
strategic plan of SMD as described in Science 2020-2024: A Vision for Scientific
Excellence - 2023 Update and the SMD’s Strategy for Data Management and
Computing for Groundbreaking Science 2019-2024 documents .
• Proposals should look to improve the sustainability and utility of these tools,
frameworks, or libraries through improvements such as adding extensions,
documentation, infrastructure, security, and maintenance of the software.
For the purposes of this program element, the following classifications apply:
• Tools: Systems that support scientific processes and analysis. This can include
software packages, web- or cloud-based tools, or other digital services. This can
include tools related to publications, data, software, events, data analysis,
modeling, machine learning, or other scientific processes.
• Frameworks: Systems that incorporate a variety of inputs to enable scientific
processes. This can include data formats, collections of models, citizen science
infrastructure, or other digital services.
• Libraries: Generic software packages, often with a larger user base,
implementing well-known algorithms, providing statistical analysis, visualization,
or other services that are incorporated in other software or used on their own.

I’d be happy to chat with any academics (i.e. professors, staff, or postdocs who can have PI status) who are interested in getting involved but haven’t done this before.

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