Dear CAUSEweb friends,
We are excited to post this advertisement for a tenure-track position in
Statistics with a starting date as early as August 2023! We also have
several ongoing non-tenure-track openings in Statistics, Data Science, and
Mathematics - you can see the full gamut of open positions at at Truman's
jobs page <https://trumansu.peopleadmin.com/>:
In addition to our undergraduate statistics major, and several minors,
Truman has a relatively new Masters in Data Science and Analytical
Storytelling, combining statistics and technical coding skills with broader
skills (I’d never call them “soft”) including writing, rhetoric, design,
and ethics. In its second year, this fully-only program has quickly become
the largest graduate program on our primarily undergraduate campus.
The ten (after this successful search) statistics faculty at Truman are
dedicated to excellent teaching and mentoring, building connections with
students not just in our program, but across campus, including a required
introductory statistics course for all undergraduates. We also support
students and faculty in statistics-related areas, including business,
accounting, psychology, economics, biology, health, education, linguistics,
environmental science, and our new major in cannabis & natural medicinals.
Truman scores well in rankings like US News and Washington Monthly because
of our commitment to students and student learning, while embracing a
teacher-scholar model that connects our scholarly research to the classroom.
The full posting for the tenure-track position can be found here:
Review of candidates will start in Mid-June, and I'd be happy to answer any
questions to salberts(a)truman.edu.
K. Scott Alberts, PhD (he/his), salberts(a)truman.edu
Professor and Chair, Dept. of Statistics, Truman State University
Associate Director, Center for Applied Statistics and Evaluation (CASE)
Fortune favors the brave. - Virgil
Chance fights ever on the side of the prudent. – Euripides
Chance favors only the prepared mind. -- Pasteur
There is still time to register for the 2023 U.S. Conference on Teaching Statistics (USCOTS), which will take place at State College, Pennsylvania, beginning at 4:30pm on Thursday, June 1 and concluding at 3:15pm on Saturday, June 3. Pre-conference workshops start on the afternoon of Tuesday, May 30, and a research satellite mini-conference will be held on the evening of Wednesday, May 31 and morning of Thursday, June 1. The conference theme is "Communicating with/about Data." The conference program can be found here: https://www.causeweb.org/cause/uscots/uscots23/program
To register, visit: https://www.causeweb.org/cause/uscots/uscots23/local-info
Students, high school teachers, and two-year college instructors can apply for a registration fee waiver here: www.causeweb.org/cause/uscots/uscots23/grants<https://www.causeweb.org/cause/uscots/uscots23/grants>
Please join us and hundreds of other statistics and data science teachers for presentations, conversations, interaction, sharing, learning, camaraderie, and fun at USCOTS!
Kelly McConville and Allan Rossman
(for the USCOTS Program Committee)
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 84th 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 May 31 are at
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.
The April caption contest cartoon is shown here. The judges found the winning caption to be "Collecting data requires knowing what sample size one can feasibly handle!" written by retired AP Statistics teacher Jodene Kissler. Jodene's caption can be used in discussing how choosing an appropriate sample size must balance budget and logistics along with statistical power. An honorable mention this month goes to the caption: "The Negative Correlation Moving Company had trouble holding on to their shorter employees," an anonymous submission that can be used to discuss the difference between positive and negative associations.
Thanks to everyone who submitted a caption and congratulations to our winners!
Join us for a virtual workshop on project-based learning in statistics and data science.
Thurs. May 11, 2023, 3 pm ET
Register at bit.ly/41Hz8YY<http://bit.ly/41Hz8YY>
In the workshop, our awesome panelists, Nick Horton, Emily Griffith, and Mark Daniel Ward, will briefly summarize the lessons they have learned from mentoring and supervising open-ended data science work and will provide suggestions for those interested in engaging in similar work. Resources related to undergraduate research will be provided and there will be plenty of time for questions.
Please share the attached flyer with your colleagues.
Kelly McConville & Donna LaLonde
Playmeans: Inclusive and Engaging Data Science Through Music
Tuesday, May 16th, 2023 4:00 pm - 4:30 pm EDT
Presented by: Davit Khachatryan (Babson College)
Abstract: This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar series, Dr. Davit Khachatryan discusses his web application (and paper): Playmeans. According to decades of research in educational psychology, learning is a social process that is enhanced when it happens in contexts that are familiar and relevant. But because of the skyrocketing popularity of data science, professors today often work with students coming from an abundance of academic concentrations, professional, and personal backgrounds. How can teaching account for the existing multiplicity of interests and be inclusive of diverse cultural, socioeconomic, and professional backgrounds? Music is a convenient medium that can engage and include. Enter Playmeans, a novel web application ("app") that enables students to perform unsupervised learning while exploring music. The flexible user interface lets a student select their favorite artist and acquire, in real time, the corresponding discography in a matter of seconds. The student then interacts with the acquired data by means of visualizing, clustering, and, most importantly, listening to music-all of which are happening within the novel Playmeans app.
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2138801
The webinar is free but pre-registration is required: please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2023-05
Please join us!