Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Ritm1260426 #181

Merged
merged 13 commits into from
Oct 29, 2024
Merged

Ritm1260426 #181

merged 13 commits into from
Oct 29, 2024

Conversation

attorri
Copy link
Contributor

@attorri attorri commented Oct 29, 2024

Ticket -

Ritm1260426

Preview Link -
https://federalist-e0a7489d-c5c2-4a41-b4ce-e27bc0bc4913.sites.pages.cloud.gov/preview/gsa/fcsm/RITM1260426/

Updated Specifics -
Too much space after the purpose section and before the DSFS Areas of Interest Section.

The linked headline that says "Presentations" should say "DSFS Presentations."

Ticket Description -
Summary of Update Requested:
The FCSM Computational Statistics and the Production of Official Statistics (CSPOS) Interest Group has
been renamed to Data Science for Federal Statistics (DSFS) Interest Group

  1. Update the current Computational Statistics and the Production of Official Statistics (CSPOS) (https://www.fcsm.gov/groups/cspos/)|
    FCSM.gov page with the following:
    a. Change the title to Data Science for Federal Statistics (DSFS)
    b. Remove the current text on the body of the page and replace with the following text:
    The purpose of this interest group (previously, the Computational Statistics and the Production of
    Official Statistics Interest Group) is to share information on data science methods and uses across
    federal agencies. These applications are broad ranging, including the use of data science methods and
    insights for the production of statistics and data products, for internal administrative activities of
    agencies, and for research purposes. The interest group provides opportunities to identify areas of
    common research, practice, and challenges, to coordinate collaborative research projects in those areas,
    and to disseminate relevant information. Topics of growing interest machine learning methods and
    natural language processing. A recurrent focus of the group's activities is organizing the GASP!
    (Government Advances in Statistical Programming) conferences.
    DSFS Areas of Interest
    · New and emerging computational methods in statistics such a machine learning methods
    and natural language processing
    · Training statistical and information technology staff on open-source programming
    languages such a R and Python
    · Sharing best practices for implementation and maintenance of statistical software
    · Identifying and exploring opportunities for collaboration on statistical computing projects

Please contact the group chair(s) if you are a federal employee and interested in participating.
DSFS Resources (https://www.fcsm.gov/groups/cspos-resources/)
Government Advances in Statistical Programming (GASP) (https://www.fcsm.gov/groups/cspos-gasp/)
DSFS Presentations (https://www.fcsm.gov/groups/cspos-presentations/)
Contacts:
· José Bayoán Santiago Calderón (Co-chair) at Jose.Santiago-Calderon@bea.gov
· Ellen Galantucci (FCSM Liaison) at egalantucci@fmc.gov

  1. Revise the links on the Groups Overview | FCSM.gov page to Data Science for Federal Statistics
    (DSFS) Interest Group:
    Replace any links with Computational Statistics and the Production of Official Statistics (CSPOS) with the Data Science for Federal Statistics (DSFS) See attached Example for reference

  2. Update any hyper-links with CSPOS to DSFS

Copy link
Contributor

@arnayv-47 arnayv-47 left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

@attorri attorri merged commit 906b13a into staging Oct 29, 2024
1 of 2 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants