Happy & Healthy 2023/ Year of the Rabbit! I hope the year has started well
As mentioned in Megan’s previous email, we are excited to keep the CAUSE
Research Reading Group going this year. We will focus on four topics/themes
this year each of which will last about three months, with two meetings per
month. Megan and I have selected several possible articles for each topic,
but we would appreciate it if interested participants could also suggest
and bring in other articles that fit each theme (especially those that they
would like to read and discuss with the others).
Big thanks to those who responded to our survey last month. According to
the received inputs, the top four chosen topics are:
- Assessment in Statistics Education (29)
- Data Science Education (23)
- Reasoning about data (23)
- Frameworks in Statistics and Data Science (21)
We will meet on the *first & third Wednesday* of the month at 2-3PM ET/
11AM-12PM PT during the *Spring 2023*. We will begin with the topic
in Statistics Education*”, and the first article we will read is:
*Sabbag, A. G., Garfield, J., & Zieffler, A. (2015). Quality Assessments in
Statistics Education: A Focus on the GOALS Instrument. In Advances in
Statistics Education: Developments, Experiences, and Assessments.
Proceedings of the Satellite Conference of the International Association
for Statistical Education (IASE). MA Sorto, available@
Our first meeting will be at *2 pm ET *(1 pm CT, noon MT, 11 am PT) on
*Wednesday*, *February 1st, 2023*.
Zoom: Register in advance for this meeting:
After registering, you will receive a confirmation email containing
information about joining the meeting.
You can find the complete schedule for the next three months February -
April (under this topic) here
Like last year, we are inviting and strongly encouraging interested
participants to *host* one article or two of their own choice in the new
year. Many of our past hosts (including ourselves) found this a very
valuable experience, so please consider hosting a meeting for the group. As
the host, you can choose one of the suggested articles on the list *OR
bring/suggest an article related to this topic that you would like to
discuss with the group,* and propose 4 to 5 questions to get the
conversation started from the article you pick. Please don’t hesitate to
let me or Megan know if you have any questions about hosting a session or
participating in this reading group.
Don’t worry if you didn’t attend our meetings last year. All meetings are
independent from each other, so please join us if you are interested. *All
Look forward to seeing you on February 1st!
Shu-Min and Megan
Happy New Year!
Just a reminder that we are seeking proposals for the CAUSE Research Satellite Conference (May 31 - June 1) to be held in concert with USCOTS 2023<https://www.causeweb.org/cause/uscots/uscots23/>. This satellite event provides a platform to promote and support the advancement of statistics and data science education research. The satellite will feature a plenary presentation, a poster session, and contributed presentations on research results related to teaching and learning statistics or data science.
We are seeking proposals for the poster session and for the contributed presentation session. For more information on satellite event and for the proposal submission links, see
Note that the deadline for the proposal submissions is January 29, 2023.
Please address questions to the satellite event organizers, Matt Beckman (mdb268(a)psu.edu<mailto:email@example.com>) and Laura Le (free0312(a)umn.edu<mailto:firstname.lastname@example.org>)
All the best,
Associate Research Professor | Penn State University
co-Associate Director for Research | CAUSE (www.causeweb.org)
We invite submissions to the Posters and Beyond sessions at the U.S. Conference on Teaching Statistics (USCOTS)<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…>, which will be held in State College, PA from June 1-3, 2023. The USCOTS theme for 2023 is "Communicating with/about Data."
Deadline for submitting a proposal<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…> for a “posters and beyond” contribution are:
· January 29th, 2023 for proposing a “posters and beyond” contribution, if you would like to receive formative feedback before your final submission
· March 5th, 2023 for final submission of proposals for a “posters and beyond” contribution, whether or not you submitted a version earlier for feedback
What is a “Poster” and what is “Beyond”?
For “Posters,” you will provide information on an activity, teaching method, or research on statistics/data science education that has support or evidence for efficacy in the classroom. Examples of evidence may include
· Institutional Course Evaluations
· Pre/Post Surveys or Assessments
· Focus Groups
· Qualitative Feedback from Students
· Measures of Student Learning
This is a great opportunity to disseminate your findings (and get feedback) from the statistics and data science community.
For “Beyond”, you will focus on how to incorporate a demonstration, activity, or method into the classroom, and how you assess (formative or summative) it. While there should be the potential for efficacy, evidence is not expected or necessary. This is a great opportunity to share that “cool thing” you do with others in the statistics and data science community.
You can find more information and a link to submit a proposal here:
Please address questions about the Posters & Beyond sessions to Judith Canner (jcanner(a)csumb.edu<mailto:email@example.com>).
ANNOUNCEMENT: Florida Summer Institute in Biostatistics and Data Science (SIBDS) 2023
Have you ever wondered how data are used to make your life better? Any thought as to why COVID-19 affects certain populations more than others? What are clinical trials, why are they important, and how do we interpret evidence?
If you are an undergraduate or early graduate student with a curious mind, sense of justice, and some statistics, math, technology, biology and/or health science coursework, you are eligible for Florida’s Summer Institute in Biostatistics and Data Science Program (SIBDS). SIBDS is a Training Program funded by NIH. It will take place at Florida Atlantic University (FAU), Boca Raton campus from May 22nd through June 30th, 2023, with faculty from FAU, University of Miami, and Florida International University. Students enrolled will be housed at FAU unless they live close by, and will receive a stipend (not a salary) to cover most expenses.
Participation in SIBDS will provide great hands-on experience in conceptualizing research questions, determining and executing appropriate analyses, and interpreting results from three Projects using real data. You will also learn skills regarding resume building, networking and scientific communication. Please join us and you’ll see why in 2022 the U.S. News & World Report ranks ‘statistician’ as the 3rd top Business job, offering competitive salaries, limitless opportunities, and a healthy work-life balance. Careers in biostatistics and data science provide you with the tools to help change the world!
Women, Minorities and Persons with Disabilities are encouraged to apply.
Complete the APPLICATION BY April 1st, 2023 using the link below:
Questions and other correspondence can be emailed Drs. Freeman (kfreemancostin(a)health.fau.edu<mailto:firstname.lastname@example.org>) or Chang (changl(a)fau.edu<mailto:email@example.com>)
(Please put “SIBDS APP” in the Subject Line).
Happy & Healthy 2023! I'm writing to encourage you to attend an upcoming
webinar, titled "*Transitioning between School and Work with Disabilities*"
- hosted by the ASA's Committee on Statistics and Disability, Committee on
Career Development, and JEDI Outreach Group. The webinar will be hosted
next Friday, *January 20th 2023, 2-3 PM Eastern Time*.
This webinar will provide an overview of resources that help job seekers
with disabilities navigate transitions between school and work, as well as
testimonials. Many statisticians alternate between holding a professional
position and attending educational programs, often leading to multiple
transitions between school and work throughout one's career trajectory.
This webinar brings together experts on accommodations for transitions to
work as well as statisticians with disabilities who have experienced
transitions between school and work during their careers. A Q&A and
discussion period will follow the presentations. All are welcome to attend
Registration is available here
the flyer can be downloaded here
We look forward to seeing you at the webinar.
Shu-Min & Anja
SCRATCH to R: Toward an Inclusive Pedagogy in Teaching Coding
Tuesday, January 17th, 20234:00 pm – 4:30 pm ET
Presented by: Shu-Min Liao (Amherst 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, we highlight the research article, SCRATCH to R: Toward an Inclusive Pedagogy in Teaching Coding. In the webinar, Shu-Min Liao will introduce SCRATCH, a kid-friendly visual programming language developed by the Media Lab at MIT. SCRATCH was designed to introduce programming to children and teens in a “more thinkable, more meaningful, and more social” way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it particularly helpful for those who haven’t had the privilege of learning coding before college. In this presentation, Dr. Liao will discuss using SCRATCH as a gateway to learning R in introductory or intermediate statistics courses. She will explain the design of her current project and share observations from a pilot study in a liberal arts college with 39 students who had diverse coding experiences. She found that the most disadvantaged students were not those with no coding experience, but those with poor prior coding experience or with low coding self-efficacy. This innovative SCRATCH-to-R approach also offers instructors a pathway toward an inclusive pedagogy in teaching coding.
The webinar is free but pre-registration is required: please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2022-10<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Flinkprote…>
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 80th 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 January 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 December caption contest cartoon is shown here. The judges found the winning caption to be “Statistics is becoming so popular that trend lines are becoming trend setters," written by Dashiell Young-Saver, from IDEA Public Schools. Dashiell’s catchy caption can be used to discuss the value of visualizations for displaying time series data. An honorable mention this month goes to Larry Lesser from University of Texas at El Paso for his caption, “Walking the red carpet for her song "Mean", Taylor Swift was accompanied by a "moving average" plot!.” Larry’s caption focuses more specifically on teaching about using moving averages to provide a more stable estimate of a trend with time.
Thanks to everyone who submitted a caption and congratulations to our winners!