The Causality in Statistics Education award encourages the teaching of basic causal inference in introductory statistics courses and is motivated by the growing importance of introducing core elements of causal inference into undergraduate and lower-division graduate statistics classes.

The award is given by the ASA to a person or team that does the most to enhance the teaching and learning of causal inference in statistics.

Established in 2013 by a donation from Judea Pearl and continued by support from Microsoft Research and Google, the award provides for a $5,000 cash prize each year.

Deadline: April 5

Questions 

The ASA is tracking how effective it is in attracting gender diversity in its awards. 

The following information will be kept private and secure and will not be used for a discriminatory purpose.

It will be used by the Committee on Women in Statistics to make recommendations to the ASA Board of Directors. No information identifying specific individuals will be given to this committee.  Please ask your candidate their preference for this selection.

Nominations should appear in the following order as a single .pdf file:

• Nominating letter
• Nominated material which may be in a variety of forms, including exemplary content such as class notes, books, or chapters with associated lesson plans; excellent resources for teachers such as annotated instruction manuals; or innovative student activities with pedagogical and content notes, especially those using broadly accessible technology.

Should the candidate be selected as a recipient, a headshot is required for JSM marketing and publication purposes.