CAUSE January 2024

cause@causeweb.org

5 participants
10 discussions

by Mocko,Megan E

Hi everyone! Want to present at the electronic Conference on Teaching Statistics? Remember to submit your abstract eCOTS 2024: What's Next Moving Forward for the Posters and Beyond Sessions<https://www.causeweb.org/cause/ecots/ecots24/pnbinfo> if you want to receive feedback from session organizers by January 28th (SUNDAY NIGHT) Final abstracts for Posters and Beyond is March 10th. The electronic Conference on Teaching Statistics is a completely online conference, which includes pre-conference workshops, poster and beyond sessions, breakout sessions, and several amazing keynote speakers. It is also super cheap to attend! This is a great opportunity to present your work, get feedback, and engage with the Statistics and Data Science Education Community. Please reach out to Judith Canner jcanner(a)csumb.edu<mailto:jcanner@csumb.edu> if you have any questions. Best Regards, Megan Mocko

3 months

Open Position at Department of Statistics, Duke University

by Taylor, Kati

The Department of Statistical Science at Duke University in Durham, NC, invites applications for the position of Director of the Master's in Statistical Science (MSS) program. The candidate will also be appointed as a regular rank, non-tenure track faculty member in the department. The MSS is a 2 year degree that provides a modern, comprehensive education in statistical and data science, emphasizing theory, methods and computation. The program brings students into challenging, real world research areas, and prepares students for positions in industry, government and other sectors as well as for PhD programs. Roughly 2/3 of the graduating MSS students move to industry and 1/3 to PhD programs. In concert with the faculty, the Master's Program Director will build on the existing foundation of the program to extend and develop partnerships in industry, government, non-profit, and other sectors, expanding internships and post-graduation job opportunities, as well collaborate on aspects of the MSS administration and curriculum, and contribute to teaching and mentoring. Full details of the department and the MSS program can be found at www.stat.duke.edu<https://stat.duke.edu/>. Preference will be given to candidates with post-PhD experience in relevant areas and a strong interest in program development and administration with relevant experience in leadership and mentoring. To apply, submit a letter, curriculum vitae, personal statement, and names of three references via Academic Jobs Online (academicjobsonline.org/ajo/program/27053<https://urldefense.com/v3/__https:/academicjobsonline.org/ajo/program/27053…>) The personal statement should describe your experiences and qualifications relevant for the position. Inquiries can be emailed to stat-search-msd(a)duke.edu<mailto:stat-search-msd@duke.edu>. The application pool will remain open until the position is filled. Starting date is flexible, with preference for July 1, 2024, or sooner. Individuals in dual career couples are encouraged to visit the website Dual Career Assistance Program | Office for Faculty Advancement (duke.edu)<https://facultyadvancement.duke.edu/recruitment-hiring-retention/dual-caree…> for information on opportunities for dual career couples in the area and how the university can help. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

3 months

by Taylor, Kati

[Logo] Did you know that out of the 37,000 students surveyed across 150 countries in the Transforming Education Report, 55% said they feel they are not learning enough about digital skills, especially how to analyze and use data? Join us on Wednesday, January 24th at 1 pm ET for our panel discussion titled “Passport to Potential: Exploring K-12 Data Literacy Worldwide” as we celebrate International Day of Education 2024 by bringing together education leaders from both UNESCO Worlds Largest Lesson and the U.S. to discuss the Transforming Education Report. [https://mcusercontent.com/54ed75d9b0d3438f3fc9cdd14/images/302fdfd1-8c24-53…]<https://centerforrisc.us4.list-manage.com/track/click?u=54ed75d9b0d3438f3fc…> Register Now!<https://share.hsforms.com/1WBC4Wg6DRB2dwjAIxpgNXgq0vx4?utm_campaign=2024%20…> Join our moderator Zarek Drozda (DS4E) and panelists Mayuri Dhumal (Global Partnership for Sustainable Development Data), Fatuma Faarah (Global Partnership for Sustainable Development Data), Wesley Hedgepeth (National Council for Social Studies) and Hollylynne Lee (NC State University) as they discuss the global need for students to have access to data literacy and data science education and share findings from the Transforming Education Survey<https://centerforrisc.us4.list-manage.com/track/click?u=54ed75d9b0d3438f3fc…>- a research project from UNESCO World’s Largest Lesson centered on hearing and elevating the voices of 37,000 students around the world. Attendees may also request a certificate of completion for use towards teacher professional development hours. Check with your state or district for their requirements, and simply select yes during registration to obtain a certificate after the event! See you there! [Twitter icon]<https://centerforrisc.us4.list-manage.com/track/click?u=54ed75d9b0d3438f3fc…> [LinkedIn icon] <https://centerforrisc.us4.list-manage.com/track/click?u=54ed75d9b0d3438f3fc…> [Logo] Copyright (C) 2024 Center for RISC. All rights reserved. You are receiving this email because you opted in via our website. Our mailing address is: Center for RISC 1340 E 55th St Chicago, IL 60615-5302 Add us to your address book<https://centerforrisc.us4.list-manage.com/vcard?u=54ed75d9b0d3438f3fc9cdd14…>

3 months

Position announcement at Ohio State University

by Ferguson, Andrew

Position Overview The Department of Statistics at The Ohio State University seeks to fill a position of assistant professor of teaching practice. This is a full-time, non-tenure-track, renewable position. Successful candidates will be expected to teach (in-person and/or online) a diverse body of students at both the undergraduate and graduate levels in an atmosphere that supports innovation in teaching approaches and application of modern pedagogical methods. In addition to teaching, the successful candidate may have opportunities to advise undergraduate and master’s level research, mentor and work with graduate teaching assistants, and develop new courses. Successful candidates will be expected to contribute to scholarly and service activities in and beyond the department. Education and Experience Requirements Required: A Ph.D. in Statistics, Biostatistics, or a closely-related field by the start of employment.   Desired: Candidates should demonstrate excellent communication skills, an interest in high quality and pedagogically sound educational experiences within the modern higher educational landscape, and the potential for leadership in statistical education. Evidence of scholarly activities is desirable. Candidates should show commitment to building a culturally diverse intellectual community, in line with Ohio State’s Shared Values<https://oaa.osu.edu/shared-values-initiative>. How to Apply Please follow this link<https://urldefense.com/v3/__https://osu.wd1.myworkdayjobs.com/OSUCareers/jo…> for a full description of the position and application instructions. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, ethnicity, gender, gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status.

3 months, 1 week

CAUSE Webinar January Announcement

by Taylor, Kati

Coding Code: Qualitative Methods for Investigating Data Science Skills Wednesday, January 31, 2024 4:00 - 4:30 pm EDT Presented by: Allison Theobold (California Polytechnic State University, San Luis Obispo), Megan Wickstrom (Montana State University), Stacey Hancock (Montana State University) Abstract: In this January edition of the JSDSE/CAUSE webinar series, we highlight the 2023 article: Coding Code: Qualitative Methods for Investigating Data Science Skills. The authors will discuss how to conceptualize and carry out a qualitative coding process with students' computing code, which allows them to explore research questions about students' learning. Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these studies illuminate different aspects of students’ programming behavior or conceptual understanding, a method has yet to be employed that can shed light on students’ learning processes. This type of inquiry necessitates qualitative methods, which allow for a holistic description of the skills a student uses throughout the computing code they produce, the organization of these descriptions into themes, and a comparison of the emergent themes across students or across time. Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2277847 The webinar is free but pre-registration is required. Please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2024-01 Please join us! Leigh Johnson

3 months, 1 week

Introductory Data Science Topics Survey

by Kerby-Helm, April T

(sorry for any cross-postings!) Dear Colleagues, Do you teach DATA SCIENCE? What is DATA SCIENCE? (You get asked this a lot, don't you?) We want to know what you teach in your undergraduate introductory data science class. Please fill out our Introductory Data Science Topics Survey<https://winona.az1.qualtrics.com/jfe/form/SV_3ERzZgTXyPKvquy>! This should only take about 15-20 minutes to complete and will help us better understand what is being taught in introductory data science courses in a variety of settings around the world. (Of note, this is a shortened version to a previous survey that we had disseminated. If you already completed the old one, we would appreciate you completing the shorter version for uniformity of responses.) URL for survey: https://winona.az1.qualtrics.com/jfe/form/SV_3ERzZgTXyPKvquy We need data from a WIDE range of instructors (graduate student TAs, instructors who have only taught a data science course one time, seasoned instructors, and everything in between) and from a variety of institutions (two-year colleges, liberal arts colleges and universities, R1s, etc.). Please share this invitation with anyone you know who has taught or is teaching an undergraduate introductory data science course. The results of this survey will be disseminated broadly in the various communities which have an interest in data science, as well as on our Statistics and Data Science Attitudes Website<https://sdsattitudes.com/>. We thank you in advance for your help! Sincerely, Dr. April Kerby-Helm, Winona State University (akerby(a)winona.edu<mailto:akerby@winona.edu>) Dr. Michael A. Posner, Villanova University (michael.posner(a)villanova.edu<mailto:michael.posner@villanova.edu>) Dr. Alana Unfried, California State University, Monterey Bay Dr. Marjorie E. Bond, The Pennsylvania State University Dr. Douglas Whitaker, Mount Saint Vincent University Dr. Leyla Batakci, Elizabethtown College

3 months, 2 weeks

Please help spread the word: Bayes BATS application open for 2024-2025

by Taylor, Kati

Happy New Year! We would like to ask your help to spread the word that our Bayes BATS<https://www.stat.uci.edu/bayes-bats/> applications are now open for 2024-2025. If you can help distribute within your networks, that will be greatly appreciated. Best, Monika --------------------------------------------------------------------- Call for application: STEM educators to incorporate Bayesian thinking and methods in teaching Application for the Bayes BATS <https://www.stat.uci.edu/bayes-bats/> program is now open at this link<https://forms.gle/GQ5i8VeD7QSQo7hU6>. BATS is a three-tiered program geared at STEM educators who would like to incorporate Bayesian thinking and methods into their own disciplinary courses. Funded by the National Science Foundation, up to 20 attendees, who will be US citizens and permanent residents from diverse scholarly backgrounds<https://urldefense.com/v3/__https:/www.nsf.gov/about/research_areas.jsp__;!…> and educational environments, will spend July 15-19, 2024 at Vassar College in an instructor-training bootcamp. In the second tier of the program, roughly 10 attendees will spend Fall 2024 developing teaching and learning materials for their courses with the support of the BATS PIs. In the third tier, selected instructors will receive support to disseminate their teaching and learning materials through conferences and publications. Prior exposure to Bayesian statistical methods is not required. Program objectives include increasing the number of undergraduate students exposed to Bayesian methods, enhancing the capacity of STEM instructors to include Bayesian materials in their teaching, and the development of teaching and learning materials that showcase use of Bayesian methods in STEM. More details can be found at the BATS website<https://www.stat.uci.edu/bayes-bats/>. We welcome STEM faculty members of all career stages who have interest in incorporating Bayesian methods in their classes at all undergraduate levels. Instructors at minority serving institutions are particularly encouraged to apply. Due to funding restrictions, only US citizens and permanent residents are eligible. Interested applicants are asked to complete a short Google Form application<https://forms.gle/GQ5i8VeD7QSQo7hU6> (sign-in required) describing their educational background and interests. Applications are due February 15, 2024. Questions can be directed to Monika Hu at jihu(a)vassar.edu<mailto:jihu@vassar.edu>. Best, The Bayes BATS PI Team Mine Dogucu, Monika Hu, and Amy Herring

3 months, 2 weeks

Stats+Stories Activity Contest Deadline Extended!

by Mocko,Megan E

Hi everyone, The Stats + Stories Lesson Plan Content<https://www.causeweb.org/cause/ecots/ecots24/stats-and-stories> deadline has been extended until Feb. 1st. Please consider entering. There will be cash prizes for top-placed activity designs as well as a 30 min breakout session at eCOTS 2024 for you to demonstrate your activity! Best Regards, Megan Megan Mocko (she/her/hers) Lecturer Information Systems and Operations Management WARRINGTON COLLEGE OF BUSINESS UNIVERSITY OF FLORIDA ____________________________ 352-392-9731 Megan.Mocko(a)warrington.ufl.edu<mailto:Megan.Mocko@warrington.ufl.edu> Stuzin Hall 351B PO Box 117169, Gainesville, FL 32611 WARRINGTON.ufl.edu [cid:image005.jpg@01D3D18E.A16AD250]

3 months, 2 weeks

PAID Participation in NSF-funded National Sample of Introductory Stat/DS Instructors

by Bond, Marjorie Ellen

(sorry for any cross-postings!) Dear Colleagues, We invite you to participate in MASDER<http://sdsattitudes.com/wp/>, an NSF-funded research study of attitudes toward statistics and data science. YOU can help us collect a representative sample AND receive a $125 Amazon gift card for participation. Sign up quickly (within the first week of your term!); only the first 100 instructors who sign up are eligible for the gift card! We need data from a WIDE range of instructors: graduate student TAs, instructors who have only taught a statistics or data science course one time, seasoned experienced instructors, and everything in between. Please share widely with anyone you know who has taught or is teaching an undergraduate introductory statistics or data science course. This national data collection is the last phase of a multi-year project funded by the National Science Foundation (DUE-2013392) which has received Institutional Review Board approval<https://drive.google.com/drive/folders/1V4o0R0du_vPt6ZPWx8tlZx1HNcLp-Sd0?us…> from California State University, Monterey Bay. Collecting this nationally representative sample is essential to its success. We have developed a family of instruments to help us understand students’ attitudes about statistics and data science within the broader context of the instructor and learning environment. In the spring term (January-June 2024), we would like for you to participate in this study by: * Giving a student attitudes survey to your class, which students will complete in a pre/post format * Completing an instructor attitudes survey, one time * Completing a learning environment inventory in a pre/post format As a thank you for administering these surveys, you will be compensated with a $125 Amazon Gift Card (not a drawing!). We will also provide you with a customized report comparing your own class(es) to the national sample. At the end of the project, we will publicly release the de-identified dataset that you will be able to download and use. We are also looking for a subset of instructors to administer an optional statistics/data science content assessment (that can be given as a take home assignment) so that we can link students’ attitudes to statistics/data science content knowledge; instructors who administer the content assessment will receive an additional $25 Amazon Gift Card. For more information and answers to Frequently Asked Questions, please visit our website<http://sdsattitudes.com/wp/faq-spring-2024/>. You can also email the MASDER team at MASDER(a)winona.edu<mailto:MASDER@winona.edu> for more information about the project. Please note that due to our IRB approval and scope of grant, we are only recruiting courses taught in the United States. Please fill out this short survey<https://forms.gle/Ke3zhTaJXN6PLkBG8> by the start of your semester/term to let us know if you intend to participate. We thank you in advance for your help! Dr. Alana Unfried (PI), California State University, Monterey Bay (aunfried(a)csumb.edu) Dr. Marjorie E. Bond, The Pennsylvania State University Dr. April Kerby-Helm, Winona State University (akerby(a)winona.edu) Dr. Michael A. Posner, Villanova University Dr. Douglas Whitaker, Mount Saint Vincent University Dr. Leyla Batakci, Elizabethtown College

3 months, 2 weeks

The CAUSE Cartoon Caption Contest for January is now taking entries!

by Taylor, Kati

The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 92nd 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 https://www.causeweb.org/cause/caption-contest/january/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:9ac09c63-15d6-4f6f-bdff-14590f53fb3d] Enjoy. December Results: The December caption contest cartoon is shown above. The judges found the winning caption to be “Always an outlier, Stan wondered why he never lined up with those around him.” submitted by Jeremy Case from Taylor University. Jeremy’s caption is intended to help discuss how outliers in linear regression models are worth studying and can lead you to further research questions. An honorable mention this month goes to José Villalobos from The University of Texas at El Paso for his caption: “Not everyone can be an influencer” that relates a social media pun to illustrates the difference between a point being an outlier and being influential (since the outlier in the plot is not particularly influential in the regression). Thanks to everyone who submitted a caption and congratulations to our winners!

3 months, 2 weeks

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