Data Challenge Expo

American Statistical Association



The Annual Data Challenge Expo is jointly sponsored by three ASA Sections – Statistical Computing, Statistical Graphics, and Government Statistics. The 2023 Data Challenge Expo will be held in conjunction with JSM 2023 in Toronto, Canada from August 5 - 10, 2023.


The challenge 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). 



There will be two award categories:

  • Professional (one level with a $500 award) 
  • Student (three levels with awards at $1,500, $1,000, and $500)

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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. The following comments are provided for inspiration only and do not necessarily need to be addressed by contestants:

  • Explore and model crime victimization based on time (day, month, year), geographic area, type of crime, and other characteristics (e.g. race, age, socio-economic class, education).
  • Explore the effects of the COVID pandemic on crimes and victimization, if any.

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DATA EXPO Challenge 2022 Student Winners

FIRST: Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
SECOND: Understanding Changes of Racial and Ethnic Representation in Homeowners and US Post-Secondary Institutions
Jhonatan Jorge Medri Cobos, University of South Florida; Tejasvi Channagiri, University of South Florida"
THIRD: An Analysis on the Impact of Socioeconomic Status on Success in School
Alyson Everett, Miami University; Thomas Fisher, The University of Miami - Ohio
DATA EXPO Challenge 2022 Professional Winner
Demographic Profile and Factors of Homeownership Disparity in the United States
Rachel Richardson, Pacific Northwest National Laboratory - Battelle; David Degnan, Pacific Northwest National Laboratory - Battelle; Anastasiya Prymolenna, Pacific Northwest National Laboratory - Battelle; Natalie Winans, Pacific Northwest National Laboratory - Battelle; Lisa Bramer, Pacific Northwest National Laboratory - Battelle


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For questions on the ASA Data Challenge Expo please reach out to Wendy Martinez (martinez.wendy@bls.gov) or Linglong Kong (lkong@ualberta.ca)