CAUSE is excited to announce the 2022 Electronic Conference on Teaching Statistics held online from May 23rd to May 26th, 2022. The conference theme is "Preparing the Modern Student." The conference will include four keynote addresses by Mine Cetinkaya-Rundel at Duke University, Talithia Williams at Harvey Mudd College, Jasmine McNealy from the University of Florida, and Rob Gould at University of California, Los Angeles. There will also be thirty-minute or seventy breakout sessions, online pre-conference workshops, birds of feather sessions, virtual poster and beyond sessions, and reading groups.
We are calling for proposals for sessions focusing on these four tracks.
1. Statistical and Data Literacy for the Modern Student – what every student needs to know in personal and professional lives.
2. Diversity, Inclusion and Social Justice in data science and statistics.
3. Preparing Mentors, Leaders, and Teachers for tomorrow.
4. The (old and new) skills needed for the modern data scientist and statistician.
This conference strives to drive the conversation on how to prepare the modern student.
In addition to the online content, there will also be regional face-to-face meetings to encourage discussion in local statistics and data science education communities.
There will be three phases of due dates.
Phase 1 due date is January 30th, 2022. This due date is for pre-conference workshops, breakout sessions, and reading groups.
Phase 2 due date is February 15th, 2022. This due date is for regional conferences.
Phase 3 due date is March 13th, 2022. This due date is for virtual posters and beyond and birds of feather discussions.
Please see the website (https://causeweb.org/cause/ecots/ecots22/) for more information or send me an email if you have any questions, Megan Mocko (Megan.Mocko(a)warrington.ufl.edu<mailto:Megan.Mocko@warrington.ufl.edu> ).
I wish everyone a good rest of your term.
Are you an adjunct or part-time instructor of introduction to statistics? Would you be interested in participating in a 30-minute interview through Zoom for a qualitative project?
The topics discussed in this interview are:
o Background in statistics, pedagogy in teaching statistics, barriers or difficulties when teaching as an adjunct instructor.
You do not necessarily need to be an adjunct right now, but the interview will focus on this part of your career. Interested in a variety of departments for example mathematics, psychology, health sciences, business among others.
o Compensation for your time $75 Amazon card. Only have 3 left!
o Will be using pseudonyms to preserve confidentiality
Send email to at estr2525(a)gmail.com<mailto:firstname.lastname@example.org>
Dr. Samantha Estrada
University of Texas at Tyler
Psychology and Counseling
Samantha Estrada Aguilera PhD
University of Texas at Tyler
Psychology and Counseling
3900 University Blvd
Tyler, Texas 75799
I’m writing to put out a reminder to encourage students to submit projects and a call for judges for the next round of the Undergraduate Statistics Project Competition (USPROC). USPROC is a statistics & data science project competition for undergraduate student class projects and independent research. The next submission deadline is coming up on December 22, 2021.
You can find more information at the USPROC website here: https://www.causeweb.org/usproc/<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>
Call for project submissions
We continue to be excited by the increased number of submissions to USPROC, and we hope you’ll encourage your students to participate this semester/term as they do class projects and independent research (including summer projects). Winners receive cash prizes and have an opportunity to present at the Electronic Undergraduate Statistics Research Conference (eUSR) in Fall 2022! The submission deadline is December 22, 2021.
Competition tracks are available for all student levels
The purpose of USPROC is to encourage the development of data analysis skills, to enhance presentation skills, and to recognize outstanding work by undergraduate statistics students. There are two main categories for submission:
1. Undergraduate Statistics Class Project Competition (USCLAP): For students taking statistics courses at the introductory or intermediate levels. Find out more details at this link: https://www.causeweb.org/usproc/usclap<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…>
2. Undergraduate Statistics Research Project Competition (USRESP): For students who conduct statistics research (e.g. projects in an REU, capstone, or an independent research) or who are taking an advanced senior-level statistics course. Find out more details at this link: https://www.causeweb.org/usproc/usresp<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…>
Call for judges
We are starting to look for volunteers to help us with the judging of these projects. Would you be willing to serve as a judge for this round of submissions? If so, please sign up at this link: https://forms.gle/1krdF2nkQkTzXmu37
Based on the typical number of submissions, judging should not amount to more than 6 hours of work. It is done independently, with some e-mail discussion (when needed) to decide on prizes. To give you a sense of the timeline, we would send you projects to score in January 2022 and give you about a month to complete the judging. If you are able to help, we will send further instructions closer to the December 22 submission deadline. Thank you in advance for your consideration!
If you have colleagues who teach undergraduate statistics courses or who advise undergraduate statistics research, please share the information in this email with them. We appreciate your help in spreading the word about the competition and opportunities to judge!
Best, the USPROC & eUSR Co-Chairs,
Maria Tackett (Duke University)
Brianna Heggeseth (Macalester College)
Jennifer Ward (Clark College)
Mine Dogucu (UC, Irvine)
Monika Hu (Vassar College)
Are you currently teaching an introductory statistics course at the postsecondary level? If yes, I am writing to request your assistance in helping to gather data to assist in the development of a learning map of topics typically taught in introductory statistics. A theoretical map (Stat-LM) of statistics knowledge and skills exists, but to determine whether the theoretical arrangement of knowledge and skills is accurate for actual students, we need information about how students think about statistical ideas and problems. The research team has assembled the Stat-LM Assessment, which will be presented in an online Qualtrics survey.
Our team requests your help at this time by asking your students to complete the Stat-LM Assessment. Each participating student will receive about 30 items, and different students may receive different collections of items. All items relate to material taught in a typical introductory statistics course. Student responses to the questions will used to assess the accuracy of the hypothesized structure of our learning map model.
The first 50 instructors who volunteer, and whose students complete the Stat-LM Assessment, will receive a $40 Amazon gift card. In addition to a report including the names of your participating students, we will share a summary of the statistical knowledge captured from all participating students. Instructors may choose to administer the assessment items to your students either inside or outside of the classroom. You may want to offer extra credit to your students as an incentive.
Ideally, we would prefer that your student complete the Stat-LM Assessment by December 17, 2021. If this will not be possible, please let me know. I sincerely hope that you will be able to help during this phase of our study.
The information collected about your students will be used by:
Dr. Laura Ziegler, Iowa State University
Dr. Angela Broaddus, Benedictine College
Dr. Jonathan Templin, the University of Iowa
Please let us know if you are interested by filling out this survey: https://iastate.qualtrics.com/jfe/form/SV_4UiAAxmt4RXCUMS.
Iowa State University
Department of Statistics
Researcher Contact Information
Angela Broaddus, PhD
Mathematics and Computer Science
1020 North 2nd Street
Atchison, Kansas 66002
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 66th 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 November 30 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.
October Results: The October caption contest featured a woman sitting at a desk next to a cup of coffee and a computer with statistical plots on the screen. In front of her are three boxes labelled “IN” (highest stack of papers), “OUT | IN” (smallest stack of papers), and “OUT” (middle sized stack of papers. The winning caption for the October contest was “When in doubt the data's better in than out” written by Erik Svenneby a student at University of Colorado Boulder. Erik’s caption can be used to help start a class conversation about the importance of avoiding the removal of outliers without appropriate cause. An honorable mention this month goes to an anonymous entry for the caption: “Surprising evidence that P(out | in) < P(out),” that also offers lesson guidance for the instructor to ask their class “If something can only go in the "OUT" pile if it first went through the "IN" pile, then is the statement in the caption true, false, or possibly true or false?” (answer is false as long as some papers don’t make it into the “IN” pile)
Thanks to everyone who submitted a caption and congratulations to our winners!