Open-Source Science (OSSci) is a new NumFOCUS initiative – launched in partnership with IBM – that aims to accelerate scientific research and discovery through the improved use, development, coordination, sustainability, etc., of open source across science. OSSci was officially announced at the SciPy conference in Austin, TX last July. The first five interest groups are currently getting underway and cover both verticals (material science, life sciences, climate & sustainability) and cross-cutting topics (reproducibility, mapping the open-source landscape in the scientific sector).
We are hosting our first community event tomorrow, February 16, from 5 to 7.30pm Pacific Time at UC Santa Cruz. You can also join remotely via Zoom. We're bringing together a great group of panelists and will reserve plenty of time to answer any questions from the audience. Should be fun!
Details and RSVP: OSSci Meetup: Increasing Research Impact Through Open Source and Open Data
OSSci ties into topics such as data science, big data, AI, etc., in a number of interesting ways:
- All published scientific papers are now sources of powerful knowledge extraction via modern NLP methods.
- Generative AI speeds up the hypothesis creation.
- Robotic labs enable quick testing and validation.
- Simulation at scale and with high fidelity accelerates experiments.
- New platforms combining all of these approaches are emerging (and some say this has the potential to bring about a revolution of science).
We are actively seeking collaborators and partners and are eager to connect with our neighbors in the ecosystem. If you know people or organizations we should talk to, please point them our way or feel free to make an introduction (tim at opensource dot science). Thanks!
Unable to make it? No problem! We'll share the recording along with a summary of key insights on the Open-Source Science Medium within a few days following the event.
#opensource #Python
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Tim Bonnemann
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