Please find information below about an event affiliated with ACM Special Interest Group on Management of Data (SIGMOD).
They specifically seek to bring together complementary perspectives from “DB and CS Education communities, and adjacent communities, e.g., in Statistics Education.” The DataEd workshop is a dedicated venue for these communities to come together, for presentation and discussion of data management systems education experiences and research.
The event is June 23rd in Seattle WA (website: https://dataedinitiative.github.io/DataEd23/ )
I’ll add that although it’s called a “workshop” in the announcement, the event is akin to an education-oriented satellite conference of the larger ACM SIGMOD/PODS Conference in the vernacular of ASA/CAUSE/IASE statistics conferences.
I’ve cc’ed a shared Gmail inbox for the event organizers if you would like to follow up after reviewing the event information below and on the website.
All the best,
Associate Research Professor | Penn State University
co-Associate Director for Research | CAUSE (www.causeweb.org)
Call for submissions
International workshop on data systems education
In conjunction with SIGMOD/PODS 2023.
Friday June 23, Seattle, WA, USA.
*** Focus and purpose of DataEd 2023 ***
Data systems education is foundational in a variety of programs such as computer science, data science, and information systems and science. And, indeed, data management concepts are both timely and timeless in our increasingly data-driven world. A continual focus since the 1970’s in the database research community is the place in curricula and best practices for teaching data systems concepts. This important conversation is particularly lively in recent years given the rise of data science. There is also a long tradition in the Computer Science Education research community on investigations into how students learn data systems concepts. With the increasing focus on data in the past decade, there is renewed focus on data systems in education research.
Both the DB and CS Education communities, and adjacent communities, e.g., in Statistics Education, have complementary perspectives and experiences to share with each other. There is much to be gained by bringing the communities more closely together: to share findings, to cross-pollinate perspectives and methods, and to shed light on opportunities for mutual progress in data systems education. The DataEd workshop is a dedicated venue for these communities to come together, for presentation and discussion of data management systems education experiences and research.
This is the second edition of DataEd, building on the success of DataEd 2022 at SIGMOD/PODS 2022. The proceedings of the first edition can be found at https://dl.acm.org/doi/proceedings/10.1145/3531072
*** Submissions ***
Contributions are welcome in the broad area of data systems education: the teaching and learning of databases/data management/data systems topics, ranging across the whole field, from classical topics (such as physical design, query optimization, data modeling, data integration, visual analytics, and query languages) to contemporary topics (such as ML & AI for data management systems, data management for ML & AI, very large data science applications/pipelines, and responsible data management).
The workshop solicits three kinds of submissions: Research and Research Proposal Papers, Experience Reports, and Artefact Papers. Contributions of all types should be up to 5 pages in length (excluding references, which have no page limit) in the standard ACM Proceedings Format, with shorter submissions (2 pages in length) being encouraged.
Paper submissions are due by the end of March 1, 2023 (AoE). Pending approval, all papers will be published in the ACM Digital Library. Further details can be found on the DataEd 2023 website.
*** Format of the Workshop ***
DataEd 2023 will be a full day workshop held on Friday 23 June consisting of keynote talks, paper presentations & discussion, and a poster social session. We are thrilled to already announce our first keynote speaker Sourav Bhowmick (Nanyang Technological University)!
*** Organizers ***
Fenia Aivaloglou, Delft University of Technology.
George Fletcher, Eindhoven University of Technology.
Daphne Miedema, Eindhoven University of Technology.
*** Advisory Board ***
Michelle Hoda Wilkerson, University of California, Berkeley.
Zachary Ives, University of Pennsylvania.
Shriram Krishnamurthi, Brown University.
Juan Sequeda, data.world.
Julia Stoyanovich, NYU.
For further details, please see the DataEd website at
or contact the organisers at
This is a friendly reminder that the due date for all USPROC submissions is THIS Friday, Dec 23rd.
USPROC is a statistics & data science project competition for undergraduate student class projects and independent research.
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 2023!
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
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
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%2Fwww.cause…>
Best, the USPROC & eUSR Co-Chairs,
Maria Tackett (Duke University)
Jennifer Ward (Clark College)
Juanjuan Fan (San Diego State University)
Monika Hu (Vassar College)
Mine Dogucu (University College London)
I hope everyone is almost finished (or finished) with the Fall semester. The CAUSE Research Reading Group has completed the papers in Rob Gould's eCots 2022 talk.
Shu-Min and I are excited to keep the reading group going.
As we move into 2023, we thought it might be great to pick four topics. We would have a list of possible articles for each topic, but participants could also suggest other articles that fit the theme.
Each topic would last three months and two meetings per month. This method would allow us to have six articles per topic. As before, we are inviting and encouraging interested participants to host one article or two of their own choice in the new year
Please let us know what themes you are interested in and what times you would be available by completing this survey<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.gle…>. Please reply by Jan. 13th.
I hope that you have a great Winter Break!
Megan and Shu-Min
Information Systems and Operations Management
WARRINGTON COLLEGE OF BUSINESS
UNIVERSITY OF FLORIDA
Stuzin Hall 341
PO Box 117169, Gainesville, FL 32611
The ASA Section on Teaching of Statistics in the Health Sciences (TSHS) is excited to present our Winter 2023 webinar. Dr. Amy Nowacki of the Cleveland Clinic will moderate our 2-hour panel discussion with Dr. Amanda Ellis of the University of Kentucky, Dr. Steve Foti of the University of Florida, Dr. Steve Grambow of Duke University, Dr. Matt Hayat of Georgia State University, Dr. James Odei of Ohio State University, and Dr. Matt Zawistowski of the University of Michigan. They will discuss teaching career pathways in the health sciences.
The webinar is FREE and open to all. Details and registration information are below.
TITLE: Teaching in the Health Sciences: Is there a Viable Teaching Career Pathway?
PANELISTS: Dr. Amy Nowacki, Cleveland Clinic (moderator)
Dr. Amanda Ellis, University of Kentucky
Dr. Steve Foti, University of Florida
Dr. Steve Grambow, Duke University
Dr. Matt Hayat, Georgia State University
Dr. James Odei, Ohio State University
Dr. Matt Zawistowski, University of Michigan
DATE/TIME: January 31, 2023, from 3-5pm (Eastern)
VENUE: Online webinar hosted using the Zoom platform
ABSTRACT: Career pathways for collaborative biostatisticians, where the primary focus is collaborative research, have been established in many biostatistics departments and research organizations in the last decade or so. Comparable career pathways for teaching biostatisticians, where the primary focus is teaching and teaching-related research, are much rarer, although they are becoming more common in statistics departments. These positions go by a variety of names including Teaching Professor, Professor of the Practice, or Clinical Professor. In this webinar a panel of faculty in teaching-focused positions in biostatistics will discuss the opportunities and challenges for such positions. We will discuss how common teaching-focused positions are; the typical position responsibilities, advancement opportunities, and evaluation metrics; the value of these positions for their institutions; and the barriers to their implementation. This webinar will interest biostatisticians currently in or considering teaching-focused positions, PhD students and postdocs curious about these types of positions, as well as department heads thinking about how such positions could be structured.
REGISTRATION: To register, please complete the form here:
We will send the Zoom link for the webinar to your email address about a week before the webinar.
We would like to invite you to take part in a research study called "Pedagogical Content Knowledge of Introductory Data Science Instructors". We are a team of researchers focused on statistics and data science education.
We are conducting interviews as part of a research study to enhance our understanding of pedagogical content knowledge of introductory data science instructors. As a data science instructor, you are in an ideal position to give us valuable first-hand information from your own unique expertise. For this reason, we would like to invite you to share your teaching experiences in a one-off interview (90 minutes) with a researcher of our team. There are no right or wrong answers to this - we are keen to gain a wide variety of teaching experiences. We are simply trying to capture your teaching experiences on being a data science instructor.
You are eligible to participate in the study if you have taught a course titled Introduction to Data Science at the undergraduate level at least twice. If you have any questions regarding your eligibility, please contact Dr Sinem Demirci (email: s.demirci(a)ucl.ac.uk<mailto:firstname.lastname@example.org>)
You will receive a £50 gift card for completing the interview.
If you are willing to participate in the interview, please fill out the participation form (https://forms.office.com/e/eTXun9mm5z) and we will contact you for further details. If you have any questions, please do not hesitate to ask.
Dr Sinem Demirci (University College London)
Dr Mine Dogucu (University College London & University of California Irvine)
Dr Joshua Rosenberg (University of Tennessee, Knoxville)
Dr Andrew Zieffler (University of Minnesota)
Dear all, CAUSE Research
Reading Group meetings continue! Our next meeting is
scheduled Wednesday, December 14th from 12:00-1:00pm ET.
Please find the link for
registration and the link to the article below.
Frischemeier, D., & Biehler, R. (2017, February). Stepwise development of statistical literacy and thinking in a statistics course for elementary preservice teachers
Zoom: Register in advance
for this meeting: https://ufl.zoom.us/meeting/register/tJwodeChpjMiEtMjGtTqCxH_4fCIDDiMbYUJ
After registering, you
will receive a confirmation email containing information about joining the
meeting. Our host for this session will be Tom Peyton (thank you so much, Tom!).
Look forward to having you
join us on Wednesday,
Megan & Shu-Min
Information Systems and Operations Management
WARRINGTON COLLEGE OF BUSINESS
UNIVERSITY OF FLORIDA
Stuzin Hall 341
PO Box 117169, Gainesville, FL 32611
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 79th 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 December 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.
[A picture containing text Description automatically generated]
The November caption contest cartoon is shown here. The judges found the winning caption to be “Keep cooking those numbers. Something useful is bound to pop out!," written by Kim Bennett, from Georgia State University. Kim’s caption can be used in a discussion about ethical guidelines in reporting data and the importance of avoiding manipulations that represent what we hope to show while hiding opposing results also seen in the data. An honorable mention this month goes to Jim Alloway of EMSQ Associates for his caption, “Revealing the information in the numbers isn’t magic; your team has to invest energy and stir up the numbers to capture it.” Jim’s caption focuses on teaching about revelations in the data that might come from a teamwork approach of statisticians and content experts.
Thanks to everyone who submitted a caption and congratulations to our winners!
The U.S. Conference on Teaching Statistics (USCOTS)<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…> will be held at the Penn Stater in State College, PA from Thursday, June 1st through Saturday June 3rd, 2023, with pre-conference workshops starting on Tuesday, May 30th. This conference provides a welcoming and engaging (perhaps even fun!) environment in which teachers can exchange ideas and motivate each other to improve their teaching of statistics. The conference features thought-provoking plenary sessions, interactive breakout sessions, informative posters-and-beyond sessions, and opening and closing sessions with inspiring and lively five-minute presentations. Other highlights include birds-of-a-feather discussions, a speed mentoring session, an awards ceremony, extensive pre-conference workshops, and exhibitor technology demonstrations.
The USCOTS theme for 2023 is "Communicating with/about Data." Sessions will explore many aspects of this theme, including teaching students to present data-driven arguments through words, visualizations, and even code, and helping teachers effectively communicate with their students as they develop their understanding of key statistical ideas.
USCOTS has been held in odd-numbered years since 2005. While USCOTS 2021 was held virtually due to COVID-19, all sessions of USCOTS 2023 will be held in–person. Please consider attending and even better, consider submitting a proposal<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cause…> for an interactive breakout session, pre-conference workshop, “posters and beyond” contribution, or “birds of a feather” discussion topic. Deadlines are:
· November 30th, 2022 for proposing a pre-conference workshop
· November 30th, 2022 for proposing an interactive breakout session
· 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
· May 6th, 2023 for proposing a “birds of a feather” discussion
USCOTS 2023 will also feature a Research Satellite, to be held on May 31st and June 1st, that brings together researchers in statistics and data science education to promote and support projects of common interest.
You can find more information about the conference and its theme, along with proposal submission links, here:
Please address questions to program co-chairs Allan Rossman (arossman(a)calpoly.edu<mailto:email@example.com>) or Kelly McConville (kmcconville(a)fas.harvard.edu<mailto:firstname.lastname@example.org>), or to CAUSE director Dennis Pearl (dkp13(a)psu.edu<mailto:email@example.com>).