The Computing, Government, and Graphics sections of the ASA are proud to sponsor the annual Data Challenge Expo at the JSM 2023 meetings to be held in Toronto, Canada from August 5 – 10, 2023 (https://community.amstat.org/dataexpo/home). For instructors in statistics or data science, the challenge could be integrated into the classroom as a final project.
Participation is open to students and professionals from the private or public sector. Using statistical and visualization tools and methods, contestants will analyze the given data set(s). Awards will be given in two categories – Professional (one $500 award) and Student (three awards $1,500, $1,000, and $500).
To enter, contestants must do the following by February 1, 2023.
Submit an abstract for a contributed Speed Poster session to the JSM 2023 website (https://ww2.amstat.org/meetings/jsm/2023/ ). Specify the Statistical Computing Section as the primary sponsor.
- Note: The period for submitting contributed abstracts is December 1, 2022 to February 1, 2023.
- Forward the JSM abstract submission email to Linglong Kong (lkong@ualberta.ca) and Wendy Martinez (wendy.l.martinez@census.gov).
The abstract is a placeholder to ensure the contestant is included in the JSM 2023 program. Contestants will present their work in a speed poster session and judging will be based on the results of the analysis presented at the JSM in August 2023. Presenters are responsible for their own JSM registration and travel costs, and any other costs associated with JSM attendance. Group submissions are acceptable. Following JSM, contestants may submit a paper describing their analysis and results to the open-access peer-reviewed Journal of Data Science https://jds-online.org/journal/JDS.
The challenge data set for 2023 is the National Crime Victimization Survey (NCVS) 2020, https://www.icpsr.umich.edu/web/NACJD/studies/38090/summary. The NCVS gathers data on personal and household crimes since 1973. The primary goals of the survey are to collect information about the victims, to explore the consequences of crime, and to estimate the number and types of crimes that go unreported.
Contestants must use the NCVS 2020 data but are encouraged to combine additional data sets. Data sources for potential integration include:
We encourage participants to be creative in their research questions, objectives, and analysis. Novel and interactive visualizations to explore the data are always of interest. In addition, the data for download, the NCVS website has links to studies that utilize the NCVS. These studies may serve as inspiration or background for the challenge.
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Wendy Martinez
Pronouns: she, they
US Census Bureau
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