Skip to content

Commit 292243f

Browse files
committed
Copy-editing of the NASA grant blog post
1 parent b78936d commit 292243f

File tree

2 files changed

+97
-90
lines changed

2 files changed

+97
-90
lines changed

apps/labs/posts/nasa-rose-grant-2020.md

Lines changed: 0 additions & 90 deletions
This file was deleted.
Lines changed: 97 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,97 @@
1+
---
2+
title: 'NASA ROSES E7 Grant: Reinforcing the Fondations of Scientific Python'
3+
author: matti-picus
4+
published: Aug 10, 2022
5+
description: 'Announcing a 3-year program to improve NumPy, SciPy, pandas, and scikit-learn'
6+
category: [Funding]
7+
featuredImage:
8+
src: /posts/nasa-rose-grant-2020/scientific_python_ecosystem.png
9+
alt: 'River of scientific python projects, flowing from Python and NumPy, to
10+
Foundational projects, to technique-specific projects, to domain-specific
11+
projects, to applications.'
12+
hero:
13+
src: /posts/nasa-rose-grant-2020/scientific_python_ecosystem.png
14+
alt: 'River of scientific python projects, flowing from Python and Numpy, to
15+
Foundational projects, to technique-specific projects, to domain-specific
16+
projects, to applications.'
17+
---
18+
19+
### Announcement of the grant being awarded
20+
21+
We are happy and proud to announce that the [NASA ROSES 2020](https://science.nasa.gov/researchers/sara/grant-solicitations/roses-2020/release-research-opportunities-space-and-earth-science-roses-2020)
22+
program, specifically the [Support for Open Source Tools, Frameworks and Libraries](https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7B958CF134-D655-E512-B5AD-84501D14A0C1%7D&path=&method=init)
23+
component, has accepted [a
24+
proposal](/posts/nasa-rose-grant-2020/NASA_project_proposal.pdf)
25+
from the scientific Python community. The
26+
[selection](https://nspires.nasaprs.com/external/viewrepositorydocument?cmdocumentid=843923&solicitationId={958CF134-D655-E512-B5AD-84501D14A0C1}&viewSolicitationDocument=1)
27+
is for a 3-year, $385,385 per year grant, which will be split between the participating
28+
projects: [scikit-learn](https://scikit-learn.org),
29+
[pandas](https://pandas.org/), [SciPy](https://scipy.org/) and
30+
[NumPy](https://numpy.org/).
31+
32+
### Backstory
33+
34+
Once the NASA ROSES funding proposal opened, the working group began creating a
35+
proposal that answered the conditions of the program. The proposal was based on
36+
an earlier
37+
[rejected NSF proposal](https://figshare.com/articles/journal_contribution/Mid-Scale_Research_Infrastructure_-_The_Scientific_Python_Ecosystem/8009441).
38+
Many of the authors of the NSF proposal were also involved in the successful
39+
NASA ROSES proposal. The process of pulling the proposal together: laying out
40+
the scope of the program, splitting the grant writing into sections, and
41+
overall cooperation between the groups was in and of itself helpful to get many
42+
of the people at the core of scientific Python together.
43+
44+
### Deliverables
45+
46+
This [Gantt chart](/posts/nasa-rose-grant-2020/NASA_project_workplan.pdf)
47+
summarizes the primary deliverables of the project:
48+
49+
- Ongoing work with issue triaging & code review, maintenance, CI & packaging
50+
improvements
51+
- Creating a joint infrastructure for running benchmarks and create both
52+
micro-benchmarks and more general benchmarks for the projects
53+
- Use NumPy's new dtype infrastructure to create a flexible Unicode string
54+
type, and integrate that into pandas
55+
- More NumPy SIMD performance improvements
56+
- Move forward with Array API Standard adoption
57+
- Extend the use of Numba UDFs in pandas
58+
- Optimize pandas' memory usage, and implement Cython performance optimizations
59+
in sckit-learn
60+
- Add support for CuPy and Dask to SciPy and scikit-learn via the Array API
61+
standard
62+
- Add a framework for parallelization to SciPy
63+
- Add large-scale optimization routines to SciPy
64+
65+
The goals are quite ambitious given the amount of funding. They leverage
66+
synergy between the projects and underlying standards to move the entire
67+
scientific Python community forward.
68+
69+
### Who will be doing the work
70+
71+
The work will be executed by a mix of experienced maintainers and new talent
72+
recruited specifically for the project. Due to restrictions from the funders,
73+
research (which includes most or all work on new features) will be primarily
74+
executed by people in the United States, while the international team will take
75+
on the engineering and contributor tasks. Some of the work will be
76+
subcontracted to LANL and Cal Poly.
77+
78+
The grant will be administered via a committee. Dharhas Pothina, Quansight's CTO,
79+
is the PI. Leaders of the participating projects will advise and monitor
80+
activities and changes in scope to make sure they are aligned with what the
81+
projects need most.
82+
83+
### Final thoughts
84+
85+
This is a significant milestone in the growing stream of funding flowing
86+
towards community-driven Open Source - and to scientific Python projects in
87+
particular. The grant is one of the first to specifically fund cross-project
88+
collaboration, in a way that will leverage common interests toward improving
89+
the entire ecosystem. Institutional funders are realizing that we are indeed a
90+
web of interlinked projects supported by a community of contributors, and we
91+
are thankful to NASA for the opportunity to spearhead this new model.
92+
93+
We'll provide updates in future blog posts as well as on the mailing lists of
94+
the project involved as we achieve significant progress toward the goals of the
95+
grants.
96+
97+
These are exciting times, funding for core PyData projects is accelerating.

0 commit comments

Comments
 (0)