CAUSE Research Reading Group meetings continue! Our next meeting is
scheduled next *Wednesday, September 21*, at *12:00-1:00pm ET*. Please find
the link for registration and the link to the article below.
*Article: **Wickham (2014): "Tidy Data", Journal of Statistical Software,
59(1): 1-23.* https://www.jstatsoft.org/article/view/v059i10
Zoom: Register in advance for this meeting:
After registering, you will receive a confirmation email containing
information about joining the meeting.
Our host for this session will be Tyler George (thank you so much, Tyler!).
We are still looking for interested volunteers to host our sessions on
October 6, October 19, and November 3. Please consider hosting one of those
sessions and you can find our complete schedule in Fall 2022 via this link
Look forward to having you join us next Wednesday,
The Department of Mathematics and Statistics seeks applicants for a
Tenure-track position beginning August 2023, with expertise in Statistics,
at the rank of assistant professor. Applicants must have a Ph.D. by the
start of the position.
The successful candidate will offer courses across the undergraduate
statistics curriculum (e.g. Introductory Statistics, Statistical Modeling,
Probability Theory) as well as courses that contribute to the College’s
general education requirements. The standard annual teaching load is five
courses. The department offers majors in mathematics, a newly developed
mathematics-statistics combined major, as well as combined majors in
mathematics-economics and mathematics-physics. We have also launched an
interdisciplinary minor in Data Science. The new hire will have flexibility
in designing courses within our curriculum as well as their own specialty
courses. The department welcomes ideas for developing interdisciplinary
courses (e.g. Statistics and Justice, Sports and Statistics, Statistics and
the Life Sciences). We also require a semester-long project for all of our
majors and place a high premium on student-faculty research. The College
provides a generous pre-tenure sabbatical leave program and professional
development support for both research and teaching.
Whitman College is committed to cultivating an inclusive learning
community. Applicants should be able to demonstrate their commitment to
diversity, equity, and inclusion and articulate how their classroom and
scholarly practices work to advance antiracism in the learning environment.
This statement can be included in the cover letter or the teaching
statement. In their cover letter, candidates should address their interest
in working at a small college with undergraduates, majors as well as
non-majors, at all levels of instruction.
Located in the historic community of Walla Walla, Whitman’s beautiful
tree-lined campus is home to an intellectually diverse, dynamic, and
supportive community of some 500 staff and faculty serving roughly 1,500
students from the local region and across the globe. With exceptional
students, accomplished faculty and staff, along with a fiercely loyal and
growing number of engaged alumni, Whitman College continues to build on its
national reputation for academic excellence as one of the top liberal arts
colleges in the country. Our college has a strong commitment to engaging
our local community, including a collaborative relationship with the
Confederated Tribes of the Umatilla Indian Reservation. More information
on our mission statement can be found at
To apply, go to https://whitman.bamboohr.com/careers/234. BambooHR will
prompt you to submit all of the required materials: a letter of
application; separate statements addressing the candidate’s teaching
interests and scholarly agenda; curriculum vitae; contact information for
three references; graduate transcripts; and evidence of demonstrated or
potential excellence in undergraduate instruction.
The review of applications will begin on November 22, 2022.
Marina Ptukhina (Pa-*too*-he-nuh), PhD
*Pronouns*: She / Her / Hers
Department of Mathematics and Statistics
Walla Walla, WA
Dear CAUSEweb friends,
We are excited to post this advertisement for a tenure-track position in Statistics and Data Science, with a focus on Analytical Storytelling.
In addition to our undergraduate statistics major and several minors, we have recently launched a 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, it has quickly become among the largest graduate programs on our primarily undergraduate campus.
The Statistics faculty at Truman are dedicated to excellent teaching and 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 related areas, including business, accounting, psychology, economics, biology, health, linguistics, and environmental science. Truman scores well in rankings like US News 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 can be found here:
I'd be happy to talk to you about the positon or answer any questions.
K. Scott Alberts, PhD (he/his), salberts(a)truman.edu<mailto:firstname.lastname@example.org>
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
Tenure-Track Assistant Professor of Statistics and Data Science, Fall 2023
Position: The School of Science and Mathematics at Truman State University is seeking applicants for at least one full-time Tenure-Track position in Statistics and Data Science to begin August 2023. The position is expected to be at the rank of Assistant Professor. Ample opportunities for additional summer teaching and research mentoring are available, as well as opportunities to participate in the rich interdisciplinary culture of our university.
Responsibilities: Successful candidates will provide classroom instruction in undergraduate statistics and data science classes and online graduate data science courses offered by the Department of Statistics, advise and mentor Undergraduate and Master's-level students, including supervising capstone and thesis projects, maintain scholarly activity consistent with Truman's teacher-scholar model, serve on departmental and university committees, and perform other duties as assigned.
Program: The Department of Statistics at Truman State University has, in addition to an undergraduate statistics major with concentrations in classical statistics and data science, recently launched a Professional Masters Degree in Data Science and Analytic Storytelling. The department has 10 full-time faculty members with a variety of specialties who support our programs and campus-wide needs with over 50 sections of undergraduate statistics and 20 sections of graduate data science courses annually. We also offer an undergraduate Statistics Minor and actively support an Actuarial Science minor, statistically-related majors across campus, and other interdisciplinary areas such as environmental science. More information about the department can be found at http://stat.truman.edu<http://stat.truman.edu/>.
The University: Truman State University is home to a vibrant educational community. The approximately 4,000 students who make up its student body are well prepared for the challenging academics in a supportive environment. More than 20 percent engage in significant undergraduate research and creative projects. Most gain leadership experience and nearly half go on to graduate or professional school within a year of earning a degree. Founded in 1867, Truman is known for its focus on student learning and outcomes and places an emphasis on high-impact experiences such as internships, research and study abroad opportunities. Truman has the highest overall graduation rate among the state's public colleges and universities. For more than two decades, Truman has been recognized as the No. 1 public university in the Midwest regional category by U.S. News & World Report, and Washington Monthly consistently ranks Truman as one of the best master's universities in the nation. For more information regarding additional rankings and acknowledgments, visit truman.edu/about<http://truman.edu/about>.
The Community: Located in northeast Missouri, Kirksville is a cultural and economic hub in the region. In addition to being the home of Truman, Kirksville is the birthplace of osteopathic medicine and features a medical school, dental school and community college, and the Kirksville School District is consistently recognized for academic excellence. The community takes pride in several annual events including the Round Barn Blues Festival and the FLATS Trail Half-Marathon. The charming downtown area features an arts center, as well as several local shops and restaurants. It is also the site of numerous community events including the Red, White and Blue Festival in the summer and the Red Barn Arts and Craft Festival each fall. Just a few minutes outside of town is beautiful Thousand Hills State Park with hiking and biking opportunities surrounding the 700-acre Forest Lake. Kirksville offers easy access by car to Kansas City, St. Louis, Chicago and Des Moines. Daily flights from Kirksville Regional Airport to St. Louis provide quick access to one of the Midwest's major metropolitan areas. More information about Kirksville can be found at visitkirksville.com<http://visitkirksville.com/>.
Required Qualifications: A doctoral degree in statistics, data science, or a closely related field with substantial coursework or teaching experience in statistics and/or data (ABD candidates will be considered with an expected Ph.D. completion prior to the start of the next contract date in August 2024.); and Coursework, teaching, or other programming experience using R Statistical Software.
Candidates will be evaluated on: academic qualifications listed above; evidence of strong oral, written, and interpersonal communication skills; demonstrated potential for and evidence of excellence in teaching a variety of undergraduate statistics courses offered by the statistics department; demonstrated potential for and evidence of excellence in teaching undergraduate courses in data science and graduate courses offered within the professional data science and analytical storytelling program; ability to advise and mentor undergraduate and graduate students, including supervision of capstone projects, masters' theses, and other research projects; evidence of and potential for scholarly activity consistent with the teacher-scholar model; and desire and ability to support Truman's liberal arts and sciences mission inside and outside of the department, including an understanding of the role of analytical storytelling as a component of data science, and how statistics and data science students should learn to consider communication, ethics, and their broader impact on society.
Application: The application process is handled by the School of Science and Mathematics. Electronic submission of applications is preferred and the process can be completed at http://employment.truman.edu/. Application materials may also be submitted to hrstaff(a)truman.edu<mailto:email@example.com> or by mail to Truman State University, Office of Human Resources, 100 E. Normal MC 101, Kirksville, 63501. Completed applications must include a letter of application that clearly addresses the qualifications and evaluative criteria listed above, a statement of teaching philosophy, a statement of research interests and goals, current curriculum vitae, official or unofficial undergraduate and graduate transcripts, and three letters of recommendation.
References: Three reference letters are required for completion of your file. Requests will only be sent to the references you list in the reference section via the email you provide. It is suggested that you list more than three references to ensure that the minimum requirements is met. It is also suggested that you contact you references to let them know they will be receiving a request for a letter from noreply@peopleadmin. They may need to check their spam or other mailbox for the email.
Review of applications will begin on November 7, 2022 and continue until the position is filled. If hired, applicants must provide proof of eligibility to work in the United States, official graduate transcripts, or documentation of degrees if transcripts are not available. Final candidates will be expected to undergo and successfully pass a background check.
Questions about this position may be directed to Dr. K. Scott Alberts, Department of Statistics Chair, salberts(a)truman.edu.
The Arts Data Literacy and Diversity project is an interdisciplinary project between music and statistics which explores the role of the arts in enhancing data literacy. It involves the design and delivery of an education intervention in data literacy in culturally diverse communities and seeks to address trust in data and reducing the gap between those who are data rich and data poor. Funded by the Irish Research Council, the project is recruiting for a post-doctoral researcher with a background in statistics education to be based at the University of Limerick, Ireland<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.irish…>. Further information on the position is available at https://www.ul.ie/hrvacancies<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ul.ie…> and informal enquiries can be addressed to Ailish.Hannigan(a)ul.ie<mailto:Ailish.Hannigan@ul.ie>
As a part of my sabbatical this semester, I'd like to gather feedback regarding your use of active learning and GAISE recommendations in online asynchronous introductory statistics courses. I'd like to gain a better understanding of current practices to aid in future course design.
If you teach an online asynchronous introductory statistics course and are willing to share your thoughts, please click on the survey link below. The survey should take no more than 10 minutes to complete and is anonymous. Thank you in advance for your input and participation.
Thank you for your time.
The Millersville University Department of Mathematics welcomes applicants for a Tenure Track Assistant Professor position specializing in statistics beginning August 2023. Responsibilities include teaching, advising students, scholarly work and department and university service. Actual assignments will depend upon department needs and may include courses offered in the day, evening and/or weekend, and online. The department, housed in Wickersham Hall, is comprised of sixteen full-time faculty members, one regular part-time faculty member, and one support staff member. The Department of Mathematics, in the College of Science and Technology, has approximately 170 undergraduate major/minor students, and all majors are assigned to the full-time faculty members within the program for course advising and program mentoring. The department offers B.A., B.S. and B.S.E. degrees in mathematics with options in statistics, actuarial science, and applied mathematics, as well as an M.Ed. degree in mathematics education. For more information and to apply, please see the posting here: https://jobs.millersville.edu/postings/9982<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.mill…>
The ASA Section on Teaching of Statistics in the Health Sciences (TSHS) is excited to present our Fall 2022 webinar. Our speaker will be Dr. Amanda Ellis of the University of Kentucky College of Public Health, presenting methods for introducing the future public health workforce to data analysis.
The webinar is FREE and open to all. Details and registration information are below.
TITLE: Methods for Introducing the Future Public Health Workforce to Data Analysis
PRESENTER: Dr. Amanda Ellis, Department of Biostatistics at the University of Kentucky College of Public Health
DATE/TIME: Wednesday, November 2, 2022 @ 4pm EDT
VENUE: Online webinar hosted using the Zoom platform
ABSTRACT: The challenges of teaching introductory data analysis in an online environment are well known. These challenges can increase when the primary audience for the course are students pursuing non-quantitative degrees. In this talk, we will discuss the development of a fully online synchronous course designed for such a student audience, specifically Master of Public Health (MPH) students. Both problem-based learning and experiential learning theory methodologies informed course design. Students in the class worked individually and as team scientists to complete a data analysis project. They were exposed to data analysis elements from project initiation to dissemination while simultaneously learning methodologic concepts. Although the course was designed for MPH students, an instructor could modify the course for any cohort of students in an introductory statistics course where the focus is application and communication. Both course development and design will be discussed, and evaluations from both students and the instructor will be provided.
REGISTRATION: To register, please complete the form here:
The webinar link will be sent to you in a confirmation email after registering, and a link to the webinar recording will be sent to you about a week after the session.
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 76th 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 September 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.
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The August caption contest cartoon is shown here. The judges found the winning caption to be “Creating the best graphs to describe your data means many revisions get left behind," written by Elise Lahiere, a student at Montclair State University. Elise’s caption can be a vehicle to discuss how finding an appropriate data visualization may require multiple revisions to ensure it is aligned with what is important in the data. An honorable mention this month goes to Jim Alloway from EMSQ Associates for his caption, “Reproducible research means never saying goodbye to your analyses.” Jim’s caption aligns with introducing the idea of reproducible research in any investigating and associated tools to do so. A second honorable mention goes to Toni Sorrell from Longwood University for her caption “Reuse, Recycle, Re-analyze!” that opens the door to conversations about repurposing tools and data for different analysis goals.
Thanks to everyone who submitted a caption and congratulations to our winners!
If you’d like to help us learn what the community feels makes a good cartoon caption, please go to https://CAUSEweb.org/caption-experiment<https://causeweb.org/caption-experiment> and answer the questions you are asked about the cartoons you see. Participation is voluntary, confidential, and quick.
If you’d like to try your hand at creating your own statistics cartoon or song or video or poem, or other fun item, you should enter CAUSE’s A-mu-sing contest (see https://www.causeweb.org/cause/a-mu-sing/2023/rules).
The next U.S. Conference on Teaching Statistics (USCOTS) will be held on June 1-3, 2023 at the Penn Stater in State College, Pennsylvania, with pre-conference workshops beginning on May 30. This in-person conference will bring together teachers of statistics and data science for engaging sessions on the conference theme of “Communicating with/about Data.” (See below for more information about USCOTS and this theme.)
Opportunities to participate in USCOTS will include pre-conference workshops, interactive breakout sessions, poster-and-beyond presentations, birds-of-a-feather discussions, and a speed mentoring session. A satellite conference devoted to education research in statistics and data science will be held in conjunction with USCOTS.
Please save the dates and spread the word. Also watch for a call for proposals that will be sent out within the next month. More information will be posted at: https://causeweb.org/cause/uscots/uscots23<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcauseweb.…>.
Questions about USCOTS can be sent to program chairs Allan Rossman (arossman(a)calpoly.edu<mailto:firstname.lastname@example.org>) and Kelly McConville (kmcconville(a)g.harvard.edu<mailto:email@example.com>). We hope to see you in person at the Penn Stater in the spring of 2023!
--- Allan Rossman and Kelly McConville
CAUSE has held the United States Conference on Teaching Statistics (USCOTS) every other year since 2005. The 2023 USCOTS will be held on Thursday, June 1st - Saturday, June 3rd at the Penn Stater Conference Center in State College, Pennsylvania, with pre-conference workshops on Tuesday, May 30th – Thursday, June 1st. The conference theme is Communicating with/about Data.
USCOTS enables teachers of statistics and data science to exchange ideas and discover how to improve their teaching. The conference features thought-provoking plenary sessions, interactive breakout sessions, informative posters-and-beyond sessions, and engaging exhibitor technology demonstrations. Other highlights of the conference include opening and closing sessions comprised of inspiring five-minute presentations, a banquet with an after-dinner speaker and awards presentations, and birds-of-a-feather lunch discussions.
We trust that you will find USCOTS to provide a very welcoming, active, and fun environment. We hope that you will meet new colleagues and renew friendships with peers who are united by a common desire to teach statistics and data science effectively to the next generation of citizens and scholars.
About the Theme:
Communicating is an essential component of all academic disciplines. Statistics is by no means exempt. All aspects of a statistical investigation – asking questions, designing studies, collecting data, analyzing data, drawing conclusions – involve communication. Conducting an important study and gaining key insights are only worthwhile if the findings can be communicated effectively to stakeholders and the public.
Moreover, all human interactions rely on effective communication. Teaching and learning are by no means exempt. A key aspect of teaching involves communication between teacher and learner, in both directions, as well as among learners.
That explains the first word in our conference theme. What about the last word, the other capitalized word? Data lie at the center of the practice of statistics, as well as the teaching and learning of statistics. Statistics teachers strive for their students to become adept with data in all aspects, from collecting to wrangling to analyzing to drawing conclusions.
This brings us to the two prepositions in the theme. Communicating with data is crucial for making evidence-based arguments, for making others aware of insights that one garners from working with data. Such communication occurs in many ways: with words for sure, but also through visualizations, summaries, code, and notation. Helping students to communicate well with data is an integral, and challenging, objective in most statistics courses.
Communicating about data is what statistics teachers do on a daily basis. Teachers communicate with students to lead them to explore and develop their understanding about statistical concepts, such as variability, sampling, bias, confounding, tendency, association, and on and on.
This conference will feature sessions that address all aspects of Communicating with/about Data, with two broad sub-themes:
* Helping students to communicate the process and results of their statistical analyses,
* Helping teachers to communicate with students in order to develop their understanding of statistical concepts and their ability to implement statistical methods.