Come and learn about Data Science Education and meet a great group of
educators involved in shaping Data Science at the Undergraduate level.
The first two days will cover what UC Berkeley is doing in the space,
including its open source curriculum and a large popular major. The second
two days will have a variety of panel discussions amongst a diverse group
of Data Science Educators.
This year will be the fifth annual meeting of educators interested in Data
Science education, and seeks to combine the benefits of in-person and
online conferences as we continue to build community. The first two days
will be principally in person, with a smaller group gathering in Blum Hall
on the Berkeley Campus. The second two days will be hybrid with a few in
person presenters, and a larger online presence with panels with national
and international reach.
International Perspectives on Data Science Education
Building National Capacity for Student-Driven Data Science Communities
Human Contexts and Ethics in Data Science
California Alliance for Data Science Education
Data Science Program Development
Spatial Data Science and Scientific Reasoning
Technology Pathways for teaching Data Science
Inclusion in Data Science
Participation in the workshop is free both for in person and online
participants. Updated information available at :
https://data.berkeley.edu/2022workshop and conference registration at:
https://bit.ly/ds-summer-2022 Contact conference organizers at
Dr. Judith E Canner
Professor of Statistics
Statistics Program Coordinator
Department of Mathematics and Statistics
California State University, Monterey Bay
100 Campus Center
Seaside, CA 93955
Have you registered<https://web.cvent.com/event/e898def5-4828-417c-84db-9ef566887497/summary?rt…>?
We are one week away from eCOTS 2022, Preparing the Modern Student. The pre-conference workshops start on Thursday and the opening session is Monday, May 23rd at noon ET.
Join Slack to talk with other participants
We will be using Slack to keep the conversation going. It is free and easy to use. So, don't worry if you have never used it before. Click here to join: causeweb.org/slack<http://causeweb.org/slack>. Once you are on the CAUSE Slack workspace, click on MORE to see a list of potential channels. We will be focusing our conversation on the following channels.
Conversations are starting! Please join slack today!
If you have trouble with slack, check out this help video
Speed Mentoring Session
We also hope you will consider participating in the Speed Mentoring Session, which will take place on Wed, May 25th, from 10:30 - 11:45 am ET. This mentoring session is a great opportunity for newer statistics and data science educators to meet some more experienced folks. We are looking for both mentors and mentees who are willing to participate; please sign up here<https://urldefense.proofpoint.com/v2/url?u=https-3A__nam10.safelinks.protec…> by Mon, May 23rd.
"See" you next week!
We are looking to hire an Assistant Teaching Professor in Statistics
Education at the University of Minnesota. This person would be responsible
for providing leadership within the Department of Educational
Methods in Education Program
<https://www.cehd.umn.edu/edpsych/academics/qme/>. We are especially
interested in recruiting someone that has experience teaching statistics,
especially simulation-based methods of inference, at the undergraduate and
graduate level and research training in the teaching and learning of
This position actively supports and advances the University’s commitment to
equity, diversity, and inclusion. This a full-time, 9-month, non
tenure-track contract faculty position at the rank of Teaching Assistant
Professor. The anticipated starting date for this appointment is August
29, 2022 and the salary is competitive and commensurate with experience.
Apply for this position through the U of M job site:
Associate Professor of Teaching | Quantitative Methods in Education
Department of Educational Psychology | College of Education and Human
Development | http://www.cehd.umn.edu/edpsych/
University of Minnesota | umn.eduhttp://www.datadreaming.org/
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 72nd Cartoon Caption Contest - completing our sixth year! 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 May 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 or free registration for eCOTS.
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April Results: The April caption contest cartoon is shown here. The winning caption for the contest was “Data is right up a statistician's alley!" written by Larry Lesser from the University of Texas at El Paso. Larry’s caption provides a reminder of the ubiquitous importance of data in Statistics & Data Science. An honorable mention this month goes to Debmalya Nandy, at the Colorado School of Public Health “Whether it's bowling or another game, dedicated practice can, almost surely, beat random chance!,” which invites classroom conversation about what is expected under random versus non-random circumstances.
Thanks to everyone who submitted a caption and congratulations to our winners!
eCOTS 2022 "Preparing the Modern Student" is quickly approaching. It is less than three weeks away. Please make sure to register<https://web.cvent.com/event/e898def5-4828-417c-84db-9ef566887497/summary?rt…>.
You must be registered to attend pre-conference workshops. Workshops start May 19th.
The conference starts on Monday, May 23rd. Four great invited talks, numerous breakout sessions, birds of feather sessions, speed mentoring, etc.
Speed Mentoring Session
We also hope you will consider participating in the Speed Mentoring Session, which will take place on Wed, May 25th, from 10:30 - 11:45 am ET. This mentoring session is a great opportunity for newer statistics and data science educators to meet some more experienced folks. We are looking for both mentors and mentees who are willing to participate; please sign up here<https://forms.gle/s2hcnT4zVoEBuUek9> by Mon, May 23rd.
The Great Cookie Experiment
On Wednesday, May 25th, from 4:45 - 5:30 pm ET, we will have the "The Great Cookie Experiment" social time. Cooking and baking are some of my favorite things to do. During the height of the pandemic, I (Megan Mocko) was cooking with people all over the globe from my kitchen (I did this a lot). Cooking and baking are social activities for me, but it is also a research experience. I have tons of notes in the recipe margins (not enough orange flavor, bland, excellent, try adding more flour, try using less salt).
As you probably know, lots of conditions affect baking and cooking. You can change the white and brown sugar ratio, increase the baking soda by a little, and change from a cookie pan to a jelly roll pan. All of these will change the outcome. What is the outcome, you ask? The outcomes could be the crunchiness of the cookie, the rise of the cookie, or even its own survival. So, I want to invite you to my kitchen to bake and experiment with me. I am planning on baking my family's favorite - chocolate chip cookies. I will bake two versions: one with 1 hour of refrigeration and one straight into the oven. Which one will have the most rise?
What experiment will you conduct? We invite you to join the Zoom session to cook and experiment! The week of the conference, post your research question in the CAUSE Slack workspace under "ecots-the-great-cookie-experiment."
University of Florida
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