From f9a5440340db84a88fd3c725b4064774df2c570c Mon Sep 17 00:00:00 2001 From: Ana Jimenez Santamaria Date: Mon, 24 Nov 2025 17:39:56 +0100 Subject: [PATCH] Enhance contribution guidelines in README include licensing requirements to make submission and be clearer that this program is intended for academic and research --- ospo-academic-outreach/README.md | 45 +++++++++++++++++++++++++++----- 1 file changed, 39 insertions(+), 6 deletions(-) diff --git a/ospo-academic-outreach/README.md b/ospo-academic-outreach/README.md index cf34fb7..0889b19 100644 --- a/ospo-academic-outreach/README.md +++ b/ospo-academic-outreach/README.md @@ -6,13 +6,13 @@ The PyTorch OSPO & Academic Outreach Program is an initiative connecting PyTorch - Support academic OSPOs in integrating PyTorch into educational programs and institutional research workflows - Educate on reproducible and transparent research aligned with the open source principles that drive PyTorch +# For Contributors + ## What are the deliverables? - Webinar Series for Academia: Recordings focused on PyTorch fundamentals for academic research and transfer knowledge and open source AI best practices. Starting January 2026 - Hands-on teaching materials: lecture slides and notebooks with exercises -# For Contributors - ## Who can contribute? We’re calling on subject matter experts in PyTorch and the academic research community who are: @@ -20,7 +20,7 @@ We’re calling on subject matter experts in PyTorch and the academic research c - Instructors, researchers, or educators using PyTorch - Subject-matter experts in open source AI, reproducibility, or applied research - Interested in sharing their knowledge with the academic community - + ## How can I contribute? |Option 1: Host a Webinar Session | Option 2: Submit Hands-On Materials | @@ -32,10 +32,43 @@ We’re calling on subject matter experts in PyTorch and the academic research c - Recognition as part of the first PyTorch Academic Instructor cohort and/or webinar program committee ## Make your submission -- PyTorch Ambassadors can submit their proposals using [this form](https://github.com/pytorch-fdn/ambassador-program-management/issues/new/choose) +- PyTorch Ambassadors with direct engagement in the academic world (for example, delivering courses or lectures, supervising students, or designing curricula in academic or research contexts) can submit their proposals using [this form](https://github.com/pytorch-fdn/ambassador-program-management/issues/new/choose) - If you’re not an ambassador but would like to contribute as an instructor, please email your proposal to 📩 `ospo-outreach@pytorch.org +## Make your submission + +### If you are an Ambassador + +PyTorch Ambassadors who are directly engaged in academic or research contexts, or who have previous experience working with academia, can submit their proposals using [this form](https://github.com/pytorch-fdn/ambassador-program-management/issues/new/choose). Examples of relevant experience include: +- Teaching or co-teaching courses, labs, or workshops that use PyTorch or tools from the PyTorch ecosystem +- Teaching or co-teaching courses, labs, or workshops that share open source AI best practices +- Collaborating with universities, research institutes, or academic OSPOs on open source AI/ML initiatives + +### If you come from academia or research + +If you’re not an ambassador but are directly involved in academic or research work, or have previous experience collaborating with academia, please email your proposal to 📩 `ospo-outreach@pytorch.org` with a short description of: +- Your role and institution +- How do you use open source AI / PyTorch in teaching or research +- The type of contribution you’d like to make (webinar, hands-on materials, or both) + +Examples of topics to submit include: + +- Open source AI best practices +- Courses, labs, or projects that rely on PyTorch or PyTorch ecosystem tools +- Open source and reproducible research workflows + +### Licensing and contribution requirements + +All contributions to the PyTorch OSPO & Academic Outreach Program are under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license. By submitting materials, you confirm that you have the necessary rights to license your contribution under CC-BY-4.0. When making a submission, you agree that: + +- Program repositories used for this initiative will clearly specify CC-BY-4.0 as the license for documentation +- Contributed documentation files must include an appropriate SPDX license identifier for CC-BY-4.0 +- [Developer Certificate of Origin (DCO) bot](https://github.com/apps/dco) is enabled for this repository. Contributors must sign off their commits to confirm they have the right to contribute under these terms + # For Participants -If you are a student, professor, or researcher involved in academic or applied AI research, we’re creating a dedicated mailing list for participants to stay updated on the latest program deliverables and educational materials. -For now, you can express your interest in joining by emailing 📩 `ospo-outreach@pytorch.org` with the subject line: “Request to join the OSPO & Academic Outreach mailing list” +If you are a student, professor, or researcher involved in academic or applied AI research, please join our [mailing list](https://lists.pytorch.org/g/ospo-outreach) to stay updated on new webinars, teaching materials, and other program deliverables + +# Get Connected + +To receive updates about webinars, teaching materials, and contribution opportunities, please subscribe to the program’s mailing list: [OSPO & Academic Outreach mailing list](https://lists.pytorch.org/g/ospo-outreach)