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Enhance contribution guidelines in README for OSPO Outreach Program #4

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Enhance contribution guidelines in README for OSPO Outreach Program #4

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45 changes: 39 additions & 6 deletions ospo-academic-outreach/README.md
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Expand Up @@ -6,21 +6,21 @@ 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:

- 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 |
Expand All @@ -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)