Re: [community] Help us understand your needs for machine learning training and resources (now with survey link!)

• To: "community@xxxxxxxxxxxxxxxx" <community@xxxxxxxxxxxxxxxx>
• Subject: Re: [community] Help us understand your needs for machine learning training and resources (now with survey link!)
• From: Douglas Dirks <ddirks@xxxxxxxx>
• Date: Mon, 11 Aug 2025 12:40:44 -0600

Hello NSF Unidata Community,

It turns out the link to the survey was missing from the previous message:
apologies for that!

You can open the survey at:
https://docs.google.com/forms/d/e/1FAIpQLSeUgCKKsEbZa90SqHXsVOuz-1JxKNLbgG0tTP9l2Wnob71xog/viewform

Thanks again, and sorry for the missing link!

On Mon, Aug 11, 2025 at 11:23 AM Douglas Dirks <ddirks@xxxxxxxx> wrote:

> Hello NSF Unidata Community,
>
>
> NSF Unidata is participating in a UCAR-led investigation of the growing
> need for Machine Learning (ML) training in the Earth System Science (ESS)
> community, and we need your help to understand your needs. ML skills are
> typically acquired through specific graduate studies, specialized
> coursework, self-directed study, or on an ad-hoc basis. We want to hear
> from you about what we could do to fill some of the ML training gap!
>
> Do you need instructor guides to help implement ML topics in your courses,
> a formal in-person two-week-long course for professionals, a self-paced
> asynchronous online lesson for students to augment the curriculum, Python
> notebooks to use in lab sessions or workshops?  We want to hear what you
> need and how we can help.
>
> Our survey should take only 5-10 minutes to complete, and will be open
> through October 17th. We want to hear from as many people as possible; feel
> free to share the survey with your colleagues in the ESS community.
>
> To be clear, we are focused on Machine Learning -- not Agentic AI,
> Generative AI, or LLMs (e.g., ChatGPT).
>
> If you have any questions about the survey, please feel free to reach out
> to Bryan Guarente (guarente@xxxxxxxx) or Mariana Cains (mgcains@xxxxxxxx) .
>
> Thank you for helping us understand how we can help you use or teach ML
> techniques!
>

• References:
  • [community] Help us understand your needs for machine learning training and resources
    • From: Douglas Dirks