[Talk] Machine Learning for your Research

[lmilechin]

Talk Selection

• [x] Decide on a talk
• [x] Get agreement from the speaker

Coordinate a date

• [x] Decide on date (we pick a few options to send to speaker) (June 22, 2023 at 2pm ET, 11am PT)
• [x] Gather information for the slide
• [x] Get permission to record

Zoom Prep

• [x] Decide on Zoom registration questions (review previous questions)
• [x] Put together Zoom event/registration

Advertisement

• [x] Put together event page on US-RSE site
• [x] Craft email
• [x] Craft short social media/slack message
• [x] Add to newsletter if timing works out

Send Advertisement

• Email
  • [x] 1 month (May 22)
  • [x] 2 weeks out (June 8)
  • [ ] 3-4 days before (June 19/20)
• Slack/Twitter
  • [x] With first email (May 22)
  • [x] Day before/day of (June 21/22)

Week of/before event prep

• [x] Put together Zoom poll (for end of event)
• [x] Set up event-specific slack channels as needed (discussion channel)
  • Channel: #et-seminar-ml-talk-june-2023
• [x] Add/remove people to #et-seminar-backchannel

After event

• [x] Send recording to be posted with description (include relevant links to slides, papers, etc)
• [x] Send email, slack message when video is posted
• [x] Add talk to wg web page

[lmilechin]

Quick Links

• Original Event: https://researchcomputing.princeton.edu/events/2022/machine-learning-your-research
• Slide: https://docs.google.com/presentation/d/1jpoe237paRoi678Qn9rdFvj7kSedY5UObc1MPwRusd4/edit?usp=sharing
• Email: https://docs.google.com/document/d/1c9h90XehvPoKo5Sid62ZJEx4ByGQuBMLlJPwVCgHd_o/edit
• Zoom Registration: https://mit.zoom.us/meeting/register/tJIudu-hpzsoGNSqglACVILdt0mcbV6oCA4M#/registration
• Event Page: https://us-rse.org/events/2023/2023-06-education-training-talk/
• Slack/Social Media post: https://docs.google.com/document/d/19-0tK7CvFB8ZlTM2ue4A01EzMbXHblzlRDzAZgm-9vk/edit?usp=sharing
• Talk slides: https://docs.google.com/presentation/d/1PAPYq1vyPdu9pB8-Aud9YAHXfQEqInot/edit?usp=sharing&ouid=105782733382539411172&rtpof=true&sd=true
• YouTube Video: https://youtu.be/yWjSZlNE0Jo

[lmilechin]

Registration Questions:

• What is your primary role?
  • Leadership/Manager
  • Staff (RSE, Research Computing and Data professional, Library)
  • Faculty/Researcher (Tenure track, Adjunct, Research Scientist)
  • Post-Doc
  • Research Assistant Graduate Student
  • Graduate Student
  • Undergraduate
  • Other
• What is your primary area?
  • RSE (software facing)
  • Data Facing
  • Researcher Facing (facilitator)
  • Systems facing (system administrator)
  • Strategy and policy facing (leadership)
  • Student
  • Other
• What is your primary institution?
  • Primary research university R1/R2
  • Community college or similar
  • National lab
  • Non-profit
  • Government
  • Industry
  • Other
• How did you hear about this talk?
  • US-RSE Newsletter or Announcement Email
  • Other Email List
  • US-RSE Slack
  • Colleague/Friend
  • Twitter
  • Other

Zoom Polls

• How helpful did you find this talk?
  • Extremely Helpful
  • Very Helpful
  • Somewhat Helpful
  • Slight Helpful
  • Not Helpful
• How Likely are you to Attend Another Technical Talk?
  • Very Likely
  • Likely
  • Neutral
  • Unlikely
  • Very Unlikely
• How Likely are you to Attend a Longer Hands-On Tutorial in this Seminar Series?
  • Very Likely
  • Likely
  • Neutral
  • Unlikely
  • Very Unlikely
• Are you interested in volunteering to help with Conference Tutorials at the US-RSE Conference in October?
  • Yes
  • No

[lmilechin]

Post-Tutorial Email with links:

Hello,

Thank you for registering for the Technical Talk the US-RSE Education and Training Seminar Series: Machine Learning for your Research on June 22. Savannah Thais from Columbia University gave an excellent and very informative talk.

If you had to miss the tutorial, would like to watch it again, or would like to share it with a colleague, we have posted the recording on YouTube: https://youtu.be/yWjSZlNE0Jo. The video description includes links to the slides.

If you would like to learn more about the US Research Software Engineering Association (US-RSE), you can visit the web page: https://us-rse.org/. You can join by clicking the “Join” button in the top right corner of the web page, or click “Join US-RSE” under the “Get Involved” tab.

Thank you,

Lauren Milechin