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StatsChats: Home



StatsChats is an informal weekly gathering to discuss any quantitative questions you may have related to your research.

  • Who? Anyone who wants to join in and attempt to improve their quantitative skills, or share their knowledge and experience. Faculty are more than welcome to join us (in any capacity)!

  • What? Topics we have in mind include questions about Statistics, Experimental Design, Model Simulation & Analysis, Debugging R code, etc. Anything you can reasonably describe as quantitative is fair game! Please plan on focusing on a single, well formed question (or two) so we can make good use of the hour. Occasionally we will host informational sessions on a range of topics, which will be listed on this website! Let us know if you have any ideas for topics!

  • When? Spring 2024: Thursdays 12-1pm

  • Where The Lilli Brant reading room at the DeLaMare Science and Engineering Library (Third floor)

  • Google Calendar ID:

To join the StatsChats calendar, copy the Calendar ID above into the ‘Add a coworker’s calendar’ box (under ‘Other calendars’) and press Enter. The calendar will then show up in your ‘Other calendars’ list

  • iCal:

Discussion session with people learning statistics

Several people sitting in a classroom observing a presenter.

Join us

Join the StatsChats mailing list:

The first step to receive notifications, reminders, participate in discussions, and submit your discussion topics requests, please send an email to and in the subject field enter `subscribe’. Leave the email body blank. Follow the confirmation steps. 

Alternatively, just follow this link where you can join via your browser:


Add StatsChats to your calendar.

Alternatively, just follow this link where you can join via your browser:




Carlos Ramirez-Reyes (StatsChats contact)
Office: DeLaMare Library (MM) 102
Phone: (775) 682-7378

Paul Hurtado
Office: Davidson Math and Science Center 220
Phone: (775) 784-4655

Kevin Shoemaker
Office: Fleischmann Agriculture 220E
Phone: (775) 682-7449

Jessi Brown
Email: jessilbrown_at_gmail_dot_com

Ken Nussear
Office: Mackay Science Room 223
Phone: (775) 784-6612
Email: knussear_at_unr_dot_edu

Perry J Williams

Email: perryw_at_unr_dot_edu

Juli Petereit
Email: jpetereit_at_unr_dot_edu

Additional ways to get help with your research data projects:

Additional help is available through individual and small group consultations via the Research Data Services program at the University Libraries. Click here to learn more about these services: