On behalf of the American Statistical Association sections mentioned
below,? I am forwarding the information that recently appeared on the
Statistical Computing Section web? at
https://community.amstat.org/stat-computing/data-expo/data-expo-2019.
Old-timers will know that the ASA Data Challenge Expo has been important
in the history of R development, and a number of these have been used as
examples in a wide range of teaching and R packages.? Encourage your
colleagues and students to consider this!
-Michael
Three ASA sections (Computing, Government, and Graphics) are proud to
sponsor the, now annual, Data Challenge Expo 2019 at the JSM 2019
meetings. The contest is open to anyone who is interested in
participating, including college students and professionals from the
private or public sector. This contest challenges participants to
analyze a government data set using statistical and visualization tools
and methods. There will be two award categories ? Professional (one
level with a $500 award) and Student (three levels with awards at
$1,500, $1,000, and $500).
Contestants will present their results in a speed poster session at the
JSM and must submit their abstracts to the JSM online system. Presenters
are responsible for their own JSM registration and travel costs, and any
other costs associated with JSM attendance. Group submissions are
acceptable. To enter, contestants must do the following by _February 4,
2019_.
* Submit abstract for Speed Poster session to the JSM 2019 website
(http://ww2.amstat.org/meetings/jsm/2019/submissions.cfm). Specify
the Government Statistics Section (GSS) as the main sponsor.
Abstract submission starts _December 3, 2018_.
* Forward the JSM abstract submission email to Wendy Martinez
(martinez.wendy at bls.gov <mailto:martinez.wendy at bls.gov>).
The data set for the Data Challenge Expo 2019 will be the New York City
Housing and Vacancy Survey. Public use data files and documentation are
available here: https://www.census.gov/programs-surveys/nychvs.html.
Contestants must use some portion of the New York City Housing and
Vacancy Survey data, but can also combine other data sources in the
analysis. If you have any questions on the Data Challenge Expo 2019
please reach out to Wendy Martinez.
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept. & Chair, ASA Statistical Graphics Section
York University Voice: 416 736-2100 x66249
4700 Keele Street Web: http://www.datavis.ca | @datavisFriendly
Toronto, ONT M3J 1P3 CANADA
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