Input Requested: UCAR/NSF NCAR: What are your Machine Learning training needs?

[Grace Marasco-Plummer]

Happy Friday, RIEEE Folks!

As many of you know, Appalachian State is a member of the University Corporation for Atmospheric Research (UCAR), the university engagement arm of the National Corporation for Atmospheric Research (NCAR).  Please see the request for input below on AI/ML training needs in the ESS community.  Chris Thaxton and I are our current UCAR member representatives - please reach out to us if you would like to learn more about opportunities this UCAR membership affords.  

Those of you interested in this topic might also be interested in this fall's EnviroData Collaborative Workshops - there are a few spots left!

• Getting Hands-On with Data: Interactive visualizations in R; Instructors: Michael Erb, Research Scientist in RIEEE; William Armstrong, Associate Professor in GES; Date & Time: September 23, 2–4 p.m.; Location: Anne Belk Hall, Room 222; Register here.
• From Data to Decisions: Supervised machine learning with R; Instructors: Lasanthi Watagoda, Assistant Professor in MAT; Hasthika Rupasinghe, Associate Professor in MAT; William Armstrong, Associate Professor in GES; Michael Erb, Research Scientist in RIEEE; Date & Time: November 12, 1–3 p.m.; Location: Anne Belk Hall, Room 222; Register here.

Thank you,

Grace

____________________________
Grace Plummer
Managing Director
1117 Peacock Hall
828-262-7514

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Dear Member Reps, 

A team here at UCAR and NSF NCAR are investigating the growing need for machine learning (ML) training in the Earth System Science (ESS) community, and we need your help to understand the 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 that ML training gap!

The survey will be open through October 17th and we want to hear from as many people as possible. Feel free to distribute this survey to your colleagues and students in the Earth System Science community.  To be clear, we are focused on ML not Agentic AI, Generative AI, or LLMs (e.g., ChatGPT).

We will also be hosting a breakout session on this topic at the UCAR Annual Members Meeting in October. 

If you have any questions about the survey, please feel free to reach out to Bryan Guarente (guar...@ucar.edu) or Mariana Cains (mgc...@ucar.edu).

~~~~~~~~~~

Mariana Goodall Cains

Scientific Liaison & Coordinator | Convergence Science Program (CSP)

Development Lead | Education, Engagement & Early-Career Development (EdEC)

NSF National Center for Atmospheric Research (NSF NCAR)

Thank you, 

Aneka 

Aneka Finley Erhart 

UCAR Governance 

UCAR President's Office 

303-497-1655

afi...@ucar.edu

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