2018 General Interest Events

Nov:: IASE 2019 Satellite Conference Announcement. Kuala Lumpur
Oct:: ISI Objectives: “#4. To advocate and foster statistical literacy, the use of statistics and data in decision-making by governments, businesses and individuals.”
Jul:: Confounding and Cornfield: Back to the Future. By Milo Schield (2018) for ICOTS 10.

“Cornfield's minimum effect size is one of the greatest contributions of statistics to human knowledge alongside the Central limit theorem and Fisher's use of random assignment to statistically control for pre-existing confounders.”

“To change the future, we need to go back to when Jerome Cornfield argued that smoking caused cancer.”

“Our unwillingness to talk about observational causation, confounding and strength of evidence is arguably the primary reason our students' see little value in the introductory statistics normally taught in Stat 101.” “We need to teach multivariate statistics, confounding and the Cornfield conditions so students will appreciate statistics.”
: Statistical Literacy and the Lognormal Distribution. by Milo Schield (2018) for ASA JSM.

“There is no public data on the income share of the top 1% of households; those percentages are estimates. Those estimates vary from 5% to 40%. They are based on different data using different definitions and different models.”; Schield selected as a Fellow by the American Statistical Association. Summary Certificate
May:: Judea Pearl publishes The Book of Why: The New Science of Cause and Effect Summary and TOC Index

“Judea Pearl's new book, The Book of Why, is a must read for anyone interested in philosophy, science, machine learning or statistics. The Book of Why is arguably the most important book on causal statistics since Cornfield debated Fisher on whether smoking caused lung cancer.” Schield (2018); Six Books that Sharpened my BS Detector by Joseph Makansi.
Apr:: Seven Habits of Highly Numerate People by Doug Berdie. Minneapolis Star and Tribune.
Mar:: Gartner Advanced Analytics and Big Data Summit.; Marc Isaacson and Milo Schield (Quant-Fluent) conduct a three-hour workshop on Data Literacy and Statistical Literacy; Schield interview with Ryan Dunlap: See bottom of Video page.; Quant-Fluent website opened. Marc Isaacson and Milo Schield (April)

Technical News in 2018

Jul 29-Aug 3

ASA Online Program JSM Vancouver StatEd Section Slides: JSM Archive

Sunday:

4:00–5:50: CC-West Ballroom — A: The Good, the Bad, and the Ugly: The Future of Statistics and the Public — Invited Panel ISI.
Panelists: David Spiegelhalter, RSS; Dan Wagner, Civis Analytics; Richard Coffin, USAFacts; Mark Hansen, Columbia University

Monday:

8:30–10:20: StatEd #128 CC-West 115 StatEd Curricular Considerations
9:05: Teaching Bayesian statistics in undergraduate classes — Ananda Jayawardhana, Pittsburgh State
9:20: Statistics Projects in a PIC-MATH Course — Debra Hydorn, University of Mary Washington
9:35: Statistical Literacy and the Log-Normal Distribution — Milo Schield, Augsburg U. Abstract
9:50: A Venn-Diagram Analysis of the Role of Statistics in Data Science — John McKenzie, Babson College
11:50: CC-East 19 — Income Inequality Grew Faster Than Reflected by Standard Measures — J. Gastwirth, George Washington U
12:30: Roundtable. New Quasi-Experimental Devices for Observational Studies Dylan Small, U. Penn
2:05: #236 CC-West 115 — A Classical Regression Framework for Mediation Analysis. Christina Saunders
4:00: Stat Ed Booth Discussion Group. Jeff Witmer: Teaching Stats at small liberal arts college

Tuesday:

7:00–8:15: Roundtable #270 TL08 — What's for Breakfast? How about Empiricism? — Robert Carver, Brandeis
8:30–10:20: #287 CC-West 210 — Simulation-Based Inference.
9:35: Results on the Progression and Retention of Student Learning Using Simulation-Based Inference — Nathan Tintle, Dordt
9:55: Simulation-inference in conceptual 2nd course. Karen McGaughey, Cal Poly
10:30: #348 — StatEd CC-West 112
10:35: Survey of Motivational Attitudes Toward Statistics — Unfried+Coffin Cal State Monterey; Kerby Winona State
11:50: Concept Maps, Feedback, and Statistics Learning: — Terry Hickey, St. Martin's University
12:05: Statistics Education Across University: Systematic Review — Aimee Schwab-McCoy, Creighton
10:55: #325 Bayes CC-West 110 — Uncertainty in Design Stage Observational Studies. Matthew Cefalu, RAND; Corwin Zigler, Harvard
12:05: #532 CC-West 223 — Can Statistics Inform Social Decisions?
12:05: Can Data Beat Anecdotes? Joseph Van Matre School of Business. U.A.B.
12:30: Birds of feather. Stat Ed Booth. Teaching diverse student populations. Brianna Heggeseth: Macalester
2:00: StatEd CC-West 206/207
2:05: Inference in Three Hours, and More Time for the Good Stuff — Allen Downey, Olin College of Engineering
2:25: Multivariable Thinking with Data Visualization — Kari Lock Morgan, Pennsylvania State U
2:45: Multivariate thinking, intro stats & observational data — Horton+Seto, Amherst; Anoke, Harvard
3:05: Intro Stats and Intro Data Science: Do we need both? — Mine Cetinkaya-Rundel, Duke University
3:25: Discussant: Jeff Witmer, Oberlin College
2:00–3:50: #211 CC-West 405 — Effectively Explaining Statistical Concepts to Researchers from other Fields
Panelists: Natalie Blades, Beth Chance, Paul Roback, Heather Smith, Kim Love, K. R. Love.
6:00–6:30: New Fellow Rehearsal+Group Picture CC-West Ballroom BC
6:30–7:30: New Fellow's Reception: CC-W. Ballroom D. Normandie Lounge
8:00–9:30: ASA Presidential Address and Founders & Fellows Recognition. Lisa LaVange, U. North Carolina
9:30-12: Dance Party

Wednesday:

8:30–10:20: #205 CC-West 205 — Large-Enrollment Statistics — Topic Contributed Papers
8:35: Effective Pedagogy in Large-Enrollment Statistics Courses — Matthew D Beckman, Penn State U
8:55: Large-scale interactives for large-enrolment courses — Anna Fergusson, Univ. Auckland
9:35: Statistical Thinking: Fostering a Student-Active Learning in a Large Class — Catherine Case
9:55: Discussant: Chris Wild, University of Auckland
8:30-10:20: #483 CC-West 114
8:50: Moderate Effect Modification in Observational Studies. Kwonsang Lee, Harvard; Dylan Small and Paul Rosenbaum, U. Penn
9:50: When Confounders Are Confounded — Carlos Leonardo Kulnig Cinelli, UCLA ; Judea Pearl, UCLA ; Bryant Chen, IBM
11:50: Discovering Effect Modification in Observational Studies. Small, Hsu, Rosenbaum, Lee, Zubizarreta and Silber
10:30–12:20: CC-West 217 Fresh Approaches to Statistical Pedagogy — Contributed Papers
11:20: Early Intro of Hypothesis Tests in IntroStats — Wei Wei, Metro State; Heidi Hulsizer, Benedictine College; Aminul Huq, U Mn
11:35: STEM Storytellers: Improving Graduate Students' Oral Communication Skills — Jennifer L Green, Shannon Willoughby, Brock LaMeres, Bryce Hughes, Leila Sterman, Christopher Organ, Montana State U
10:30–12:20: 532 — Can Statistics Inform Decisions in Social, Economic, and Political Event?
12:30: Lunch Roundtable: WL10 When Do We Really Need Randomized Clinical Trials? Christopher Hane, OptumLabs
WL22 Visualizing Uncertainty for the General Public. Edward Mulrow, NORC at the University of Chicago
2:05: #576 Biopharm CC-West 214 — Translate Real World Data to Robust Evidence for Decision Making.
Hongwei Wang, Weili He, Yabing Mai, Meijing Wu, AbbVie; Dajun Tian, Chiltern
2:00–3:50: CC-West 212 Innovations in Teaching Undergraduate Probability — Invited Papers
2:05: Teaching Probability via Stories and Mistakes — Joseph Blitzstein, Harvard University
2:00–3:50: #579 CC-East 10 — Panel: Building Bridges with Industry and Business for Statistical Programs — Topic Contributed Panel
Panelists: Mark Grindeland, Coda Signature; Sudipta Dasmohapatra, Duke University; Mark Morreale, SAS; Bill Thomas, Raytheon

Thursday:

8:30–10:20: CC-West 210 GAISEing into Introductory Service Courses in Light of Analytics/Data Science
Topic Contributed Panel. Amy Phelps, Beverly Wood, Mark Eakin, Mia Stephens and George Recck

Jul 8-13

ICOTS-10 Kyoto, Japan Submissions Deadlines

Sun 9:30–16:30 — Workshop: Social “Civic” Statistics by Iddo Gal

Sessions of Interest by Day:

Day	11:00	14:00	16:00
Monday	3C, 4B	1G, 3I, 7B	3H
Tuesday			3E
Wednesday		Open	Open
Thursday	1F	1D, 7C	3G, 4J, 8C
Friday	3F, 7A	1C, 1E

ICOTS Topic 1: Statistics education: Looking back; looking forward.

Session 1A:

Panel: Chris Wild (NZ): “Revolution of statistical education: past, current, and future” (10 min including Q&A)

Session 1C:

Statistics Education: What, how and with whom? [Fri 14:00]

1C1:: GAISEing Backward and Forward Megan Mocka and Michelle Everson (US)
1C2:: Confounding and Cornfield: Back to the Future. Milo Schield (US) Slides
1C3:: The Practice of Statistics at School Jane Watson (AU), Christine Franklin (US), J. Michael Shaughnessy (US)

Session 1D:

Out of the past and into the future: a global perspective [Thurs 14:00]

1D2:: The challenges of teaching statistics to undergraduate business and economics students In Spain. Luis F. Rivera-Galicia (Spain)

Session 1E:

Assessment: its lessons and effects [Fri 14:00]

1E1:: Improving student learning+instructional effectiveness through…automated analysis of formative assessments. A. Lyford, J. Kaplan (US)
1E2:: Real-world contexts in statistics components of UK maths exams: aiming forward, walking backwards. J. Nicholson, J. Ridgway (UK)
1E3:: Looking for the development of statistical literacy, reasoning and thinking. Ana Gómez-Blancarte, Alberto Santana (México)

Session 1F:

Statistics as a Liberal Art and the Real World [Thurs 11:00]

1F1:: Rethinking the statistics curriculum: Holistic, purposeful and layered Katie Makar (Australia)
1F2:: Statistics IS a liberal arts major K. Scott Alberts, Hyun-Joo Kim, Jillian Downey (US)

Session 1G:

Backwards and forwards with research [Mon 14:00]

1G1:: The nature and use of theories in statistics education — looking back, looking forward. Per Nilsson (Sweden), Maike Schindler (Germany)
1G2:: Storytelling and Teaching Statistics Carl Sherwood (Australia)

Topic 3: Statistics education at the post-secondary level Session

Session 3C:

Modern data and visualizations in the introductory statistics course [Mon 11:00]

3C3:: Students’ Understanding of Data Visualizations by Charlotte Bolch and Tim Jacobbe (U. Florida, US)

Session 3E:

Students’ negative attitudes towards statistics: an arduous challenge [Tues 16:00]

3E1:: Attitudes towards Research as a source for negative Statistics Attitudes Florian Berens (Germany)
3E2:: Attitudes towards Statistics in Biology freshmen: an exploratory survey Jorge Navarro-Alberto, Roberto Barrientos-Medina (Mexico)
3E3:: The views of undergraduate students about their introductory statistics course process Zeynep Medine Özmen and Adnan Baki (Turkey)

Session 3F:

Statistical computing and communication [Fri 11:00]

3F3:: Statistics as rhetoric: why a statistics education must incorporate communication skills by Brad Quiring (Mount Royal University, Canada)

Session 3G:

Developing understanding of statistical concepts [Thurs 16:00]

3G3:: Enhancing civic statistical knowledge of secondary pre-service math teachers. Susanne Podworny, D. Frischemeier, R. Biehler (Germany)

Session 3H:

New approaches to teaching statistic [Mon 16:00]

3H1:: Developing students’ causal understanding of sampling variability. Ethan Brown and Robert delMas (U. Minn, US) [Swamping + heaping]
3H2:: Learning through Induced Errors: A Garden-path Approach to Introductory Statistics by John Blake (U. of Aizu, Japan)
3H3:: Problem-driven approach for teaching statistics at the African Institute for Mathematical Sciences by Emanuele Giorgi (Lancaster U., UK)

Session 3I:

An experience in designing statistics courses for higher education in challenging environments (panel) [Mon 14:00]

3I1:: Giovanna De Giusti () and David Stern (UK)

Topic 4: Improving teaching and capacity in statistics education

Session 4B:

An Inquiry Teaching Environment for Data Producers [Mon 11:00]

4B2:: Data representations in STEM context: Catapult performance. Noleine Fitzallen, Bruce Duncan, J. Watson and Suzie Wright (Tasmania)

Session 4J:

Innovative projects for statistical education [Thurs 16:00]

4J2:: Students' attitudes change and performance improvement in a flip class. By Aklilu Zeleke (Mich State US) and Carl Lee (Central Mich US)

Session 7A:

Promoting understanding of civic statistics: Linking conceptual frameworks, datasets, visualizations, and resources [Fri 11:00]

7A1:: Understanding statistics about society: A framework of knowledge and skills needed to engage with Civic Statistics: Rosie Ridgway (University of Durham, United Kingdom) Iddo Gal (University of Haifa, Israel) James Nicholson (University of Durham, United Kingdom)
7A2:: Developing Official Statistics Literacy: A proposed model and implications. Iddo Gal (Israel) and Irena Ograjenšek (Slovenia)
7A3:: The StatsMap — Mapping Datasets, Viz tools, Statistical Concepts and Social Themes. Pedro Campos (University of Porto, Portugal) James Nicholson (University of Durham, United Kingdom) Jim Ridgway (Durham University, United Kingdom) Paula Lopes (University of Porto, Portugal) Sonia Teixeira (University of Porto, Portugal)

Session 7B:

ISLP past and now [Mon 14:00]

7B1:: How to collaborate with the media to enhance statistical literacy of the general public Pim Bellinga and Thijs Gillebaart (Netherlands)
7B2:: History of the Statistical Graphs Role in Statistical Literacy Developments. Kazunori Yamaguchi and Michiko Watanabe (Japan)
7B3:: ISLP past and now Reija Helenius (Finland)

Session 7C:

Promoting statistical literacy with visualisation. Organizer: Andreas Eichler (Germany) : Session chair [Thurs 14:00]

7C1:: Visualizing statistical information with unit squares. Katharina Böcherer-Linder, Andreas Eichler and Markus Vogel (Germany)
7C2:: T(h)ree steps to improve Bayesian reasoning Karin Binder, Georg Bruckmaier, Jörg Marienhagen and Stefan Krauss (Germany)
7C3:: Vocational training students’ reading levels of statistical graphs. Pedro Arteaga, C. Batanero, J, M. Vigo and J. M. Contreras (España)

Session 8C:

Reasoning. Organizer and Session Chair: Lucía Zapata-Cardona (Colombia) [Thurs 16:00]

8C1:: Using Toulmin model of argumentation to validate students' inferential reasoning. María G. Tobías-Lara, Ana Gómez-Blancarte (México)
8C2:: Assessing statistical literacy and statistical reasoning Anelise Sabbag (Brazil), Andrew Zieffler (US) and Joan Garfield (US)
8C3:: Students’ understanding of relationship between study design and conclusions in intro statistics. Elizabeth Fry (U. of Minnesota, US)

Contributed Papers:

C113:: Enhancing Statistical Literacy through Real World Examples: A Collaborative Study. Sashi Sharma (New Zealand)
C169:: Finding meaning in a multivariable world: A conceptual approach to an algebra-based second course in statistics. Karen McGaughey, Beth Chance, Nathan Tintle, Soma Roy, Todd Swanson and Jill VanderStoep (US)
C213:: Overcoming challenges with service courses in Statistics. Matina Rassias (UK)
C285:: Prospective teachers’ critical thinking regarding statistical and probabilistic information in a newspaper article on medical research. Mehtap Kus and Erdinc Cakiroglu (Turkey)

May 21-25

eCOTS 2018: Top 8 Sessions All times are EDT.

5/21 Mon 11-12:45: Activities to Clarify the Meanings of Key Words Used in Statistics Neal Rogness, Grand Valley State U. and Jennifer Kaplan (U. Georgia)
5/23 Wed 11-12:45: Multivariable thinking in algebra-based second courses Beth Chance (Cal Poly), Karen McGaughey (Cal Poly), Nathan Tintle (Dordt)
5/23 Wed 1:00-2:00: Data Science for all!! Sure! But when, where, how, and why? Richard DeVeaux, Williams College
5/23 Wed 2:15-3:00: Data Science and Intro Stat Breakout: With Kari Lock Morgan
5/23 Wed 4:30-5:00: Is the Central Limit Theorem Still Central to the Introductory Course? Discussion: Eric Reyes (Rose-Hulman Institute of Technology)
5/24 Thu 2:15-3:00: Writing About Data: A Cross-Curricular Approach Brianna Kurtz & Sarah Jensen (Crooms Academy of Information Technology)
5/24 Thu 3:00-3:45: The Evolution of Regression Modeling
5/25 Fri 12:30-1:00: What recedes as data science rises?
Tues 11:00: 14:00 None 16:00