<aside> 📢

TL;DR

When: To be submitted 13-15 days after invite email received (see email for exact date)

What: Continuation of hackathon submission resulting in a polished blogpost or artifact

Who: All members of hackathon team who want to!

Why: Experience, blogpost feedback, Apart Lab Studio application

Submission: Apart Studio Application: Blogpost Submission Form

</aside>

Why?

Trying out your research idea in a hackathon over the weekend can be fun and exciting! Once the dust settles, it can be a valuable exercise to review what you worked on, why you thought it was interesting, and how you think you may build on your work.

Writing up your work in polished blogpost can be beneficial because:

• The community can more easily engage with the underlying research, increasing their likelihood to use, or build on, your ideas
• You can share it as an example of your competence and expertise in research, AI safety, and scientific communication
• For entry into the Apart Lab Studio, it helps us to gauge your ability to write your ideas in a clear and expressive manner

Overview

• Create a blogpost expanding on your hackathon submission with your hackathon team
• Submit to Apart Lab’s Studio Team for feedback and review
• Receive feedback on blogpost, and notification of acceptance into the Apart Lab Studio
• Make final edits and publish your blogpost

<aside> ❗

There is no obligation to continue your work once you’ve published your blogpost

</aside>

What We’d Like to See

If you’re wanting to continue this work in the Apart Lab Studio, there should be a meaningful improvement from your hackathon submission.

• Make your work more accessible
  • Avoid jargon
  • Include links/citations to references and explainers
  • Improve plots and tables
  • Add diagrams or other visuals to explain your process
• Ground your submission with prior works
  • What are the other most related works, and how is yours different?
• Synthesize into a concise narrative
  • What’s the problem
  • How does your intervention solve that problem
  • Why should others believe you
• Extending experimentation and results
  • Uncertainty analysis
  • More samples
  • NOTE: Attempting to include methodological improvements can be tempting, but you are likely to out-scope yourself
• Additional analysis
  • Limitations
  • Open questions
  • Potential next steps