REGISTER NOW for the STEM Song Swap and Lesson Plan Jam
March 7, 2024 at 5pm Eastern
Presented by VOICES: Virtual Ongoing Interdisciplinary Collaborations on Educating with Song
If you use (or might consider using) songs in the teaching of STEM, please join us for a Lesson Plan Jam! This live session sponsored by VOICES<https://causeweb.org/voices> aims for practical classroom focus by taking a few songs on a common STEM topic and discussing the affordances of the songs themselves and what might be the best ways to use them in a face-to-face or virtual classroom setting. Attendance is free! And there will be time later in the session for attendees to share their screen with material/ideas to share and get feedback on. Register Now<https://psu.zoom.us/webinar/register/WN_RKMhliTKTnO5m29GXysw3A> for the Zoom link and please email us<mailto:dkp13@psu.edu;Rafael.DeAndradeMoral@mu.ie;lesser@utep.edu;Tracey-Ann.Palmer@uts.edu.au;EMHOWARD@tcd.ie;ncalmaro@nyit.edu> if you have any questions - see you there.
Hi everyone,
More due dates are approaching for eCOTS 2024.
1. Please submit your Birds of a Feather<https://causeweb.org/cause/ecots/ecots24/proposals/bof> topics by February 28th.
2. Please submit Posters and Beyond proposals by March 17th.
Please submit by these deadlines to be a part of the program for eCOTS 2024 "What's Next? Moving Forward".
Please let Megan (Megan.Mocko(a)warrington.ufl.edu<mailto:Megan.Mocko@warrington.ufl.edu>) know if you have questions about Birds of Feather or Judith (Judith Canner jcanner(a)csumb.edu<mailto:jcanner@csumb.edu>) for Posters and Beyond.
Best Regards,
Megan
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 93rd Cartoon Caption Contest! Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions (cartoons are posted at the beginning of the month and submissions are due at the end of the month). The caption contest is offered as a fun way to get your students thinking independently about statistical concepts.
The next cartoon and the entry rules for the contest ending February 29 are at
https://www.causeweb.org/cause/caption-contest/february/2024/submissions
The best submission will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the final cartoon or free registration to eCOTS2024.
[cid:fc0e5099-ec6e-49d0-9b48-1a1e726e947a]
Enjoy.
January Results:
The January caption contest cartoon is shown above. The judges found the winning caption to be How does that make you feel to hear the words ‘not normal?’. submitted by Mike Lueke from St Louis Community College. Mike’s caption can help student’s remember to use data to check model assumptions when they make them. Honorable mentions this month go to Dane Joseph from George Fox University for the caption "I just don't see the point anymore, doc. He's always going on about every little thing and I prefer to be discrete,” to Stephen Walsh from Elms College for the caption “And how did it make you feel when your assumptions were not met?” to Cigdem Sirin from The University of Texas at El Paso for the caption “I see one of you tries to normalize everything while the other one always seeks to summarize--let's analyze that!” and finally to an anonymous submission for the caption “Let's discuss the context a bit more before deciding what's normal and what's not-normal.”
As you can see - January had a new record for the number of honorable mentions in the CAUSE cartoon caption contest.
Thanks to everyone who submitted a caption and congratulations to our winners!
Causal Inference Is Not Just a Statistics Problem
Tuesday, February 20, 2024 4:00 - 4:30 pm ET
Presented by: Lucy D'Agostino McGowan (Wake Forest University), Travis Gerke (The Prostate Cancer Clinical Trials Consortium), and Malcolm Barrett (Stanford University)
Abstract: In this February edition of the JSDSE/CAUSE webinar series, we highlight the 2024 article: Causal Inference Is Not Just a Statistics Problem. The authors will discuss four datasets, similar to Anscombe’s quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the fourth involves the induction of M-Bias by an included factor. Despite the fact that the statistical summaries and visualizations for each dataset are identical, the true causal effect differs, and estimating it correctly requires knowledge of the data-generating mechanism. These example datasets can help practitioners gain a better understanding of the assumptions underlying causal inference methods and emphasize the importance of gathering more information beyond what can be obtained from statistical tools alone.
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2276446
The webinar is free but pre-registration is required. Please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2024-02
Please join us!
Leigh Johnson
Hi everyone,
Grinnell College is searching for a two-year visiting position.
The Department of Statistics invites applications for a two-year appointment beginning Fall 2024. Assistant Professor (Ph.D.) preferred; Instructor (ABD) or Associate Professor possible. In this position, you will have the opportunity to work with five other statistics faculty as we continue to improve and expand our curriculum in statistics and data science. Grinnell College has a very strong benefits package and provides generous support for faculty research. The teaching load is five courses over two semesters and may include courses at all levels of our undergraduate statistics and data science curriculum. Candidates with experience with data-driven courses, data science, or undergraduate research projects will receive strong consideration. Additional information about our curriculum and faculty can be found at https://www.grinnell.edu/academics/majors-concentrations/statistics.
The link to the job position is here: https://apply.interfolio.com/137983.
Please share this information with anyone who you think might be interested. Please don't hesitate to contact me directly if you have any questions.
Thanks!
Shonda Kuiper
kuipers(a)grinnell.edu<mailto:kuipers@grinnell.edu>
