NCAR-NEON Community Workshop Application

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This installment in our series of NCAR-NEON Workshops will focus on using NCAR-NEON modeling and data visualization tools to develop new research avenues and obtain feedback on how this collaboration can best serve the community going forward.

This will be an in-person workshop with attendance via an application process. Virtual participation will be available, but will be constrained to attending presentations and tutorials.

Those interested in attending in-person must complete this Workshop Application by 5pm MST, Friday February 17. Applicants will be notified of their acceptance by March 10.

Please provide us with your name, email, and affiliation
*

What are your preferred pronouns?

Please select the category below that best describes your affiliation.
*

University

Government

Non-Profit

Other:

Is your university or community college a minority serving institution?
*

Yes

Please select your career stage *

Early

Mid

Late

How did you hear about this workshop?
*

Newsletter

Listserv

Website

Colleague

Social Media

Other:

Have you engaged with NEON or NCAR in the past? Elaborate in a few sentences about your engagement with either or both organizations (e.g., have you used NEON or NCAR data or infrastructure). *

Are you involved in any other projects or networks relevant to the workshop topic? Please provide the name of the project/network, your role, and a link to more information (where applicable).
*

What is your experience with modeling and computing? Please select all that apply.

Note: we are asking this question to help us tailor the workshop to participants’ backgrounds - we will not evaluate applicants based on their responses to this question

Experience using scientific computing tools (e.g. Python, MATLAB, R) to analyze observational data and/or do statistical modeling

Experience using scientific computing tools (e.g. Python, MATLAB, R) to analyze output from a mechanistic land surface model or climate model

Experience running simulations using a land surface model

Experience running simulations using CTSM/CLM

Other:

Required

Please give a brief description of your general background, interests and research/work focus, as it relates to as it relates to established ecological networks (e.g., LTER, NEON) and modeling. (250 words max)
*

What do you hope to gain through your participation in the workshop? How is this relevant to your career and scientific goals moving forward? (550 characters max) *

The NEON/NCAR Workshop aims to support a diverse group of participants from groups historically excluded in STEM fields in the United States. The NSF traditionally defines “historically excluded and/or under-served in the STEM enterprise” as “Blacks and African Americans, Alaska Natives, Hispanics and Latinos, Native Americans, Native Hawaiians, Native Pacific Islanders, persons with disabilities, persons from economically disadvantaged backgrounds, women and girls, as well as intersectional identities” (from the NSF INCLUDES call), however, we recognize that there are other axes of identity not listed here but still underrepresented in STEM.

Do you consider yourself to be a member of a group underrepresented in STEM in the US? (check one).

Yes

Prefer not to answer

If you answered yes to the previous question, please explain in as much detail as you are comfortable sharing. Note that this information will only be shared internally by the NEON/NCAR organizing committee. If you are selected as a participant we may request more detailed demographic information later, which will still be optional to report (max 500 words).

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