Upcoming conferences

JSM is Coming Up in Portland, Oregon on August 3rd-8th!

Check out these Birds of a Feather Sessions!

In Person BoF Sessions

Sunday, August 4

4:00-5:00 pm PDT

Topic: Students Interested in Statistics and Data Science Education

Discussion Leader: Alyssa Hu (awh70@psu.edu)  

Abstract: This session is for current students interested in statistics and/or data science education! Our goal is for students across institutions to meet in a supportive environment -  whether it’s getting to know a few friendly faces over a meal, building a network across institutions, or chatting with others about your education research, we want you to feel comfortable at a large conference like JSM. This will be an excellent opportunity to also share ideas and resources, from student communities (e.g., SEEDS - Statistics Education: Engagement and Development for Students) to opportunities for professional development (e.g., various Conferences on Teaching Statistics).

Monday, August 5

12:30-1:30 pm PDT

Topic: Teaching both philosophies of statistics in the introduction class

Discussion Leader: Yuan Ji (yji@bsd.uchicago.edu)

Abstract: The main objective is to advocate teaching both Frequentist and Bayesian philosophies to students who first learn statistics. Anyone who teaches statistical theory or inference classes might be interested.

4:00-5:00 pm PDT

Topic: Balancing the "why" and the "how" of Statistical education. Is technology taking over?

Discussion Leader: Evidence Matangi (matangievidence@gmail.com)   

Abstract: We seek to discuss the burden of teaching introductory service Statistics courses in view of the role of technology. Seek solutions to handling overemphasis on technology, and learn from peers on navigating this reality and how technology is influencing the assessment for statistical competence. We hope to attract the attention of Data and Statistics educators, teaching assistants, and ASA leaders to champion the sustainability and scaling of the practice and profession of Statistics.

Tuesday, August 6

12:30-1:30 pm PDT

Topic: Resources for JEDI-Informed Teaching of Statistics

Discussion Leader: Jo Hardin (jo.hardin@pomona.edu) 

Abstract: Are you a statistics or data science instructor who is looking for a single website repository for educational resources related to Justice, Equity, Diversity, and Inclusion (JEDI)? Or do you use and/or create JEDI resources, and want to share how and what you use in your classrooms or research with others? The CAUSE Resources for JEDI-Informed Teaching of Statistics website offers materials such as classroom activities, curricular design, datasets, and professional development guidance to help all instructors incorporate more JEDI in their teaching and be more JEDI-Informed themselves. In this poster we will highlight some great examples that are currently on the CAUSE-JEDI website, provide guidance, and answer any questions about submitting JEDI materials that you have used and/or created for use in the statistics classroom. 

4:00-5:00 pm PDT

Topic: Revising the College GAISE report

Discussion Leader: Patti Frazer Lock (plock@stlawu.edu) 

Abstract: Members of the Steering Committee on revising the College GAISE report will be available to share updates and invite input.  We welcome anyone who is interested in learning more and discussing the next iteration of the College GAISE report.  The College GAISE report, available on the ASA site, provides "Guidelines for Assessment and Instruction in Statistics Education."  The original report was written in 2005 and revised in 2016.  We are currently working on updating this report again, and will also be including issues in Data Science.

Wednesday, August 7

12:30-1:30 pm PDT

Topic: Statistical Inference: Population Inference and Causal Inference

Discussion Leader: Milo Schield (mschield@ncf.edu)  

Abstract: Statistical literacy (confounder-based critical thinking about everyday statistics) is being taught at the U of New Mexico and at New College Florida.  The best way to learn about this new course is to teach it.  Let's discuss how to teach this material in three different formats: 1 or 2 weeks (3-6 hours) in a traditional population inference course,  4-6 weeks (12-16 hours) or a full semester (36+hours). Recommended: Before our BOF, obtain a copy (online pdf or hard copy) of the textbook from Kendall-Hunt. 

Co-host: Dan Kowalczyk.

4:00-5:00 pm PDT

Topic: Teaching Statistics for Biology and Pre-Med Students

Discussion Leader: Kelly Findley (kfindley@illinois.edu) 

Abstract: This session will consider statistical topics and learning goals that may be particularly relevant for an introductory statistics course geared toward biology and pre-med students. This may include discussions about how to incorporate measures of risk (risk ratios, odds ratios, hazard ratios), experimental and observational design, and possibly some experience with coding. This discussion welcomes both novice instructors of these courses as well as more veteran biostatistics instructors who have resources and rich experience to contribute. 

5:30-6:30 pm PDT

Topic: DataFest Discussion

Discussion Leader: Rob Gould (rgould@stat.ucla.edu)  

Abstract: For those who participated in DataFest or those who want to consider. What worked, what didn't, what should happen in the future?

Virtual BoF Sessions

Monday, August 12

2:00-3:00 pm EST

Topic: Revising the College GAISE report

Zoom link: https://stlawu.zoom.us/my/pflock 

Discussion Leader: Patti Frazer Lock (plock@stlawu.edu) 

Abstract: Members of the Steering Committee on revising the College GAISE report will be available to share updates and invite input.  We welcome anyone who is interested in learning more and discussing the next iteration of the College GAISE report.  The College GAISE report, available on the ASA site, provides "Guidelines for Assessment and Instruction in Statistics Education."  The original report was written in 2005 and revised in 2016.  We are currently working on updating this report again, and will also be including issues in Data Science.  

Tuesday, August 13

1:00-2:00 pm Eastern

Topic: Teaching both philosophies of statistics in the introduction class

Zoom Link: TBA

Discussion Leader: Yuan Ji (yji@bsd.uchicago.edu)

Abstract: The main objective is to advocate teaching both Frequentist and Bayesian philosophies to students who first learn statistics. Anyone who teaches statistical theory or inference classes might be interested.

Wednesday, August 14

1:00-2:00 pm Eastern

Topic: Statistical Inference: Population Inference and Causal Inference

Zoom link: TBA

Discussion Leader: Milo Schield (mschield@ncf.edu)  

Abstract: Statistical literacy (confounder-based critical thinking about everyday statistics) is being taught at the U of New Mexico and at New College Florida.  The best way to learn about this new course is to teach it.  Let's discuss how to teach this material in three different formats: 1 or 2 weeks (3-6 hours) in a traditional population inference course,  4-6 weeks (12-16 hours) or a full semester (36+hours). Recommended: Before our BOF, obtain a copy (online pdf or hard copy) of the textbook from Kendall-Hunt. 

Co-host: Dan Kowalczyk

eCOTS: Electronic Conference On Teaching Statistics

Next eCOTS: TBA

eCOTS 2022 (May 23-26): "Preparing the Modern Student"

eCOTS 2020: "Engaging Everyone"

eCOTS 2018: “Data Science for All” 

IASE: International Association for Statistical Education - Roundtable Conference

Next IASE 2023 Satellite: July 11-13 (possibly in Toronto) “Statistics and Data Science Learning”

IASE 2020 (VIRTUAL): "New Skills in the Changing World of Statistics Education"

IASE 2016: "Promoting Understanding of Statistics about Society"

ICOTS: International Conference on the Teaching of Statistics

Next ICOTS 2024: July 12-17, Brisbane, Australia (IASE schedule)

ICOTS: 2022, Rosario, Argentina (Sept. 11-16): "Bridging the Gap: Empowering and Educating Today’s Learners in Statistics" 
ICOTS 10 (2018), Kyoto, Japan: “Looking Back, Looking Forward” 
ICOTS 9 (2014), Flagstaff (AZ), USA: “Sustainability in Statistics Education” 

JSM: Joint Statistical Meetings

Next: JSM 2024, (August 3 - August 8) Portland, Oregon

JSM 2023, Ontario, Canada

JSM 2022, Washington, DC: section-sponsored events

JSM 2021,VIRTUAL

JSM 2020, VIRTUAL: list of events from the Section on Statistics and Data Science Education.

JSM 2019: list of events from the Section on Statistics and Data Science Education.

JSM 2018 Stat. Ed. sponsored presentations archive.

JSM 2017 Stat. Ed. sponsored presentations archive.

JSM 2016 Stat. Ed. sponsored presentations archive.

JSM 2015 Stat. Ed. sponsored presentations archive.

StatFest

Next  

StatFest 2023 September 23rd SAS Headquarters, Cary, NC

StatFest 2022 VIRTUAL, September 17-18  

StatFest 2021, VIRTUAL

StatFest 2020, VIRTUAL

StatFest 2019, University of Texas Health Science Center at Houston.

StatFest 2018, at Amherst College (first StatFest conference)

StatFest is a one-day conference aimed at encouraging undergraduate students from historically underrepresented groups to consider careers and graduate studies in the statistical sciences.

USCOTS: United States Conference on Teaching Statistics

Next USCOTS 2023 June 1-3, 2023, State College, Pennsylvania: "Communicating with/about data"

USCOTS 2021, VIRTUAL: "Expanding Opportunities"

USCOTS 2019 "Evaluating Evidence"

USCOTS 2017: “Show Me the Data!” 

WSC: World Statistics Congress

Next TBA

 WSC 2023, Ottawa, Canada, July 16-20, 2023

WSC 2021, VIRTUAL, July 11-6, 2021

WSC 2019, Kuala Lumpur, Malaysia