Webinar title: “Looking back on 30 years of the Journal of Statistics and Data Science Education with some of the founders”
Tuesday, October 19th (4:00-5:00pm ET)
In the October CAUSE/Journal of Statistics and Data Science Education webinar series, we will take a step back in time to talk with some of the founders of what was initially the “Journal of Statistics Education” and will be publishing its 30th volume in 2022.
In 1992, Daniel Solomon and colleagues organized a conference at North Carolina State University to explore the idea of an “Electronic Journal: Journal of Statistics Education”. Many ideas and considerable enthusiasm flowed.
The first issue of JSE was published in 1993 under the editorship of the late Jackie (E. Jacquelin) Dietz and managing editorship of J. Tim Arnold. Other contributing editors included Joan Garfield, Robin Lock, and Jeff Witmer. The inaugural issue included, among other things, an interview with Fred Mosteller, the structure and philosophy of the journal, and Joan Garfield’s widely cited paper “Teaching statistics using small-group cooperative learning”.
In this webinar, we will have a chance to hear from some of the founders about their vision for the journal from three decades ago, their reflections on what has transpired since then, and their prognostications for the future.
J. Tim Arnold is a Principal Software Developer at the SAS Institute. He served as the founding managing editor of JSE.
Joan Garfield is Professor Emeritus of the Department of Educational Psychology at the University of Minnesota. Joan served alongside the late J. Laurie Snell as co-editor of JSE’s “Teaching Bits, a Resource for Teachers of Statistics”.
Jeff Witmer is Professor of Mathematics at Oberlin College and is the current editor of the Journal of Statistics and Data Science Education. Jeff was a founding Associate Editor for JSE.
The webinar will take place on Tuesday, October 19th from 4:00-4:45pm ET.
Registration is required but is free:
https://www.causeweb.org/cause/webinar/jsdse/2021-10<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…>
Useful (but not required) background reading includes:
Arnold: Structure and philosophy of the Journal of Statistics Education, https://www.tandfonline.com/doi/full/10.1080/10691898.1993.11910456
Rossman and Dietz: Interview with Jackie Dietz, https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889616
We hope that you can join what promises to be a lively discussion about the founding of the journal from some of those who had the vision and energy to make it a reality.
Warmly,
Leigh Johnson (Capital University) and Nick Horton (Amherst College)
Moderators, CAUSE/JSDSE Webinar Series
Nicholas Horton
Beitzel Professor of Technology and Society (Statistics and Data Science)
Amherst College
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GRINNELL COLLEGE –DEPARTMENT OF MATHEMATICS AND STATISTICS - TENURE-TRACK POSITIONS IN
STATISTICS AND DATA SCIENCE (START FALL 2022).
The Department of Mathematics and Statistics invites applications for two tenure-track appointments in Statistics, one with emphasis in Data Science, beginning Fall 2022. These faculty will teach courses across the undergraduate statistics and data science curriculum within an environment founded on a strong advising system and close student-faculty interaction. With generous funds for faculty development, travel and research with students, our department strives to develop teacher-scholars that engage students interested in a wide variety of professions as well as graduate school in various fields. To be assured of full consideration, all application materials should be received by November 1, 2021. Please visit our application website at https://jobs.grinnell.edu<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.grin…> to find more details about the jobs and to submit applications online.
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New Jersey Institute of Technology Mathematical Sciences
Position ID: req3267
Position Summary: The Department of Mathematical Sciences (DMS) at the New Jersey Institute of Technology seeks candidates to fill a tenure-track position at the assistant or associate professor level in the areas of statistical data science and machine learning. The appointment is to start in fall 2022. The department is particularly interested in that candidates be able to teach data science and statistics courses at undergraduate and graduate levels. Candidates should have a Ph.D. in statistics, data science, or related discipline with strong research, funding, and teaching potential. Outstanding candidates with a strong track record of research, funding, and teaching will be considered at the associate professor level. At the university's discretion, the education and experience prerequisites may be excepted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Essential Functions: Teach graduate and undergraduate courses each semester. Conduct research in statistics, data science, statistical machine learning, and biostatistics.
Essential Characteristics: Must abide by the university's core values which include excellence, integrity, civility, social responsibility, diversity and communication.
Prerequisite Qualifications: Candidates should have a Ph.D. in statistics, data science, or related discipline with strong research, funding, and teaching potential.
Special Instructions to Applicants: Submissions must include (a) cover letter, (b) resume/CV, (c) research statement, (d) teaching statement, and (e) names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled.
To apply, please visit: https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=3267<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnjit.csod…>
Submit a cover letter, resume/CV, research and teaching statements, teaching evaluations if available, and names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled.
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University of Minnesota
Tenure or Tenure-Track (Open Rank) Data-based Decision Making, School Psychology Program
The School Psychology program<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclick.eco…> seeks an individual with expertise in school-based data-based decision making or intervening within integrated service delivery models. We would particularly welcome a scholar with emphasis on academic development in K-12 settings or whose research addresses learners from minoritized populations. This is a full-time tenure-track position beginning August 29, 2022. For qualifications and application procedures, please visit University of Minnesota website at http://z.umn.edu/epsy-schpsy<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fz.umn.edu%…>
Assistant or Associate Professor, Educational Measurement and Statistics, Quantitative Methods in Education Program (2 positions)
The Quantitative Methods in Education program<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclick.eco…> seeks two tenure or tenure-track scholars well-versed in the development and application of statistical methods, measurement, and/or psychometric models in educational research. These full-time positions have a start date of August 29, 2022. For qualifications and application process, please visit University of Minnesota website at http://z.umn.edu/epsy-qme<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fz.umn.edu%…>
Assistant Professor, Educational Technology / Learning Analytics, Psychological Foundations of Education Program
The Psychological Foundations of Education program<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclick.eco…> seeks an individual with a research program that includes a strong educational technology component, such as learning analytics, the development of new learning technologies, or the utilization of emerging technologies to better support student learning. This is a full-time tenure-track faculty position beginning August 29, 2022. For qualifications and application process, please visit University of Minnesota website at http://z.umn.edu/epsy-psyf<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fz.umn.edu%…>
For more information about positions available in the Department of Educational Psychology, contact Department Administrator Bre Krzyzanowski (krzyz008(a)umn.edu<mailto:krzyz008@umn.edu?subject=Faculty%20positions%20in%20Ed%20Psych%20at%20UMN%0A>).
California Polytechnic State University, San Luis Obispo
The Statistics Department in the College of Science and Mathematics at California Polytechnic State University, San Luis Obispo, is seeking a full-time, academic year, tenure-track position, with appointment beginning September 12, 2022. Appointment at the Assistant Professor rank is anticipated; higher ranks will be considered. Rank and salary are commensurate with qualifications and experience. Primary responsibilities will include teaching undergraduate statistics classes to non-statistics majors as well as teaching introductory and upper-level statistics and data science classes for statistics majors and minors. If a proposed master’s program in statistics is approved, responsibilities may also include teaching master’s level statistics courses and supervising graduate students. For more further information or to apply, please view the original job posting at https://jobs.calpoly.edu/en-us/job/504467/tenure-track-position-statistics<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.calp…>. Please direct any questions to statisticsdepartment(a)calpoly.edu<mailto:statisticsdepartment@calpoly.edu>. Review of applications will begin October 13, 2021 and will continue until the position is filled.
The Pennsylvania State University
The Department of Statistics, at the Pennsylvania State University, invites applications at the rank of Lecturer, Assistant Teaching Professor, Associate Teaching Professor and Teaching Professor depending on candidates’ qualifications. Applicants must have a master’s or terminal degree (Ph.D.) in statistics, data science, or a closely related field by appointment start date; at a minimum a master’s degree is required. The courses for which this position would be responsible may range in level from introductory undergraduate to upper-level undergraduate statistics and data science courses. There is also the possibility that the qualified candidate would be expected to teach graduate-level statistics and data science service courses for non-statistics students. Examples of courses the faculty member may be expected to teach include a capstone course for statistics majors and a course on introductory data science and computing. If desired, the opportunity to occasionally teach in an online setting or to help design/redesign courses that benefit our majors is also a possibility.
It is expected that the successful applicant is committed to quality undergraduate teaching (additional details in support of this can be included in the statement of teaching). Applications must be submitted electronically and include a cover letter, CV, statement of teaching experience and contact information for two references. Interested individuals must complete an online Penn State application at https://tinyurl.com/59tjxsek and on Mathjobs.orghttps://www.mathjobs.org/jobs/list/18251. This is a limited term position that is initially funded for one-year from date of hire with excellent possibility of re-funding. Full review of applications will begin immediately and continue until the position is filled. Additional information about the department can be found at http://science.psu.edu/stat.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO is the Law
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
University of Cincinnati Non-Tenure-Track Positions (Assistant Professor – Educator)
The Carl H. Lindner College of Business, Department of Operations, Business Analytics, and Information Systems (OBAIS), invites applications for non-tenure-track positions at the level of Assistant Professor - Educator. Essential Functions are to teach undergraduate and graduate courses in subjects such as business analytics, regression models, data analysis methods, data wrangling, simulation methods, and data visualization. Prior to effective date of appointment, the candidate must have Master's degree in Business Analytics, Statistics, or related field, at least one academic term of college level teaching in business analytics and at least one year of experience utilizing one of the following analytic tools: R, Python, Tableau, Power BI, or Excel. Review of applications will begin immediately and will continue until the positions are filled. Desired start date is as early as January 2022. Compensation and employment benefits are competitive. Applications can be submitted at: https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=71269&compan…<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareer8.s…>
The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / Minority / Female / Disability / Veteran.
Smith College Statistical & Data Sciences 2021 Tenure Track Hiring
1. Assistant Professor of Statistical & Data Sciences
The Statistical & Data Sciences Program at Smith College invites applications for a tenure-track position in Biostatistics at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Biostatistics, Statistics, or a closely-related discipline is expected by the time of appointment. Candidates from any field in Biostatistics are encouraged to apply. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year. Teaching responsibilities for this position will regularly include introductory statistics, as well as intermediate and advanced-level courses in their area of interest, for example multiple regression, design and analysis, and public health. Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Statistical and Data Sciences Program may be found at http://www.smith.edu/sds. For more information contact Prof. Randi Garcia rgarcia(a)smith.edu<mailto:rgarcia@smith.edu>; to apply visit http://apply.interfolio.com/93173. Review of applications will begin on October 8, 2021. EO/AA/Vet/Disability Employer.
2. Assistant Professor of Statistical, Mathematical, and Data Sciences
The Program in Statistical & Data Sciences and Department of Mathematics & Statistics at Smith College jointly invite applications for a tenure-track position at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Statistics or a relevant field is expected by the time of appointment. Candidates should have a strong foundation in both mathematics and statistics and candidates with experience in Bayesian statistics, high-dimensional data analysis, and machine learning are particularly encouraged to apply. The position has a teaching load of two courses per semester. Teaching responsibilities for this position will regularly include introductory and advanced courses in statistics and mathematics. Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Program in Statistical & Data Sciences may be found at https://www.smith.edu/academics/statistics and details about the Department of Mathematics & Statistic may be found at https://www.smith.edu/academics/mathematics-statistics. For more information contact Prof. Katherine M. Kinnaird kkinnaird(a)smith.edu<mailto:kkinnaird@smith.edu>; to apply visit http://apply.interfolio.com/93965. Review of applications will begin on October 15, 2021. EO/AA/Vet/Disability Employer.
3. MassMutual Assistant Professor of Statistical & Data Sciences
The Program in Statistical & Data Sciences at Smith College invites applications for a tenure-track position at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Statistics, Computer Science, Information Sciences, Mathematics, or a related field. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year. Teaching responsibilities for this position will regularly include introductory data science, as well as intermediate, advanced, and capstone courses in data science. Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Statistical and Data Sciences Program may be found at http://www.smith.edu/sds. For more information contact Prof. Albert Y. Kim akim04(a)smith.edu<mailto:akim04@smith.edu>; to apply visit https://apply.interfolio.com/94358. Review of applications will begin on October 22, 2021. EO/AA/Vet/Disability Employer.
Greetings!
As part of a research study at Elon University, we are asking college instructors of introductory statistics courses to complete an online survey. This study seeks to understand the work that is being done by faculty who teach introductory statistics courses to incorporate issues around diversity, equity, and inclusion (DEI) into their curriculum.
As a thank you for your time, participants will be randomly chosen to receive a $50 Amazon gift card. A random drawing will be held for every 100 participants who complete the survey. The survey is expected to take 10-20 minutes to complete.
All responses to the survey will be anonymous and confidential so that results of the study will not be linked back to you. You will have the option to indicate if you are also interested in participating in an additional part of the study by opting into a follow-up interview.
To participate, please click the following link. When you click on the link below you will first be prompted to read the informed consent and then electronically provide consent before participating in the survey.
Follow this link to the Survey:
Diversity, Equity and Inclusion Initiatives Inventory for Introductory College Statistics Courses<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Felon.co1.q…>
If you know of other college instructors of introductory statistics courses that may be interested in participating in this study, please feel free to share the link with them. We greatly appreciate all responses.
Sincerely,
Kirsten Doehler and Heather Barker
kdoehler(a)elon.edu<mailto:kdoehler@elon.edu> and hbarker2(a)elon.edu<mailto:hbarker2@elon.edu>
Elon University
Continuing Lecturer, Department of Mathematics, Statistics, and Actuarial Science, Butler<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.butle…> University
The primary responsibility is to teach 12 credit hours per semester of introductory level mathematics courses such as calculus for STEM majors, calculus for business, college algebra, or introductory statistics. Other responsibilities include academic advising and contributing to building an inclusive learning environment for an increasingly diverse student population.
A master’s or doctoral degree (or its equivalent) in an appropriate discipline is required. Lecturers are expected to demonstrate excellence in teaching, good communication skills, and a commitment to a collegial and supportive academic environment.
Interested candidates should indicate in their application materials whether they can begin their appointment in January 2022 or August 2022 and send a cover letter, CV, evidence of teaching excellence, and two letters of reference (at least one of which should address teaching) to Ms. Rena Duerksen at rduerkse(a)butler.edu<mailto:rduerkse@butler.edu>. Applications review will begin on September 1 and continue in an ongoing basis as they are received until October 1.
Butler University is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We welcome applications from all individuals, regardless of age, gender, gender identity, sex, race, religion, color, disability, protected veteran status, sexual orientation, national origin, or any other legally protected category.
https://www.butler.edu/hr/faculty-openings<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.butle…>
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 64th Cartoon Caption Contest – now ongoing every month for 2^6 months! 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
https://www.causeweb.org/cause/caption-contest/september/2021/submissions<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…>
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.
Enjoy.
August Results: The August caption contest featured a “war room” scene with four generals looking at a battle plan. All of the generals have multiple medals on their uniforms but the medals for one are statistical graphs. The winning caption for the August contest was “It's important not to over-generalize from a small dataset,” written by John Bailer from Miami University. John’s caption can be used to help start a class conversation about when it is proper to generalize a conclusion to a broader population. Three honorable mentions this month go to
* Jim Alloway of EMSQ Associates for his caption: “When dealing with uncertainty and interactions, those utilizing data generally come out ahead,”
* Elise Abbot, a student at Penn State University, for her caption: “Despite his vague and sometimes confusing directions, the army kept General Statistics with them because he knew too much: He was far too valuable to let fall into enemy hands,” and
* Larry Lesser of The University of Texas at El Paso for his caption: “Rank-order statistics is not just for the military!”
Thanks to everyone who submitted a caption and congratulations to our winners!