This week-long event will pair local nonprofit and social good organizations with a small team of Los Alamos data scientists to solve data-related problems to benefit Northern New Mexico.
The data sprint event is sponsored by The Laboratory’s Information Science & Technology Institute and Community Partnerships Office, and will occur in summer 2025.
Call for Community Partner Organizations
We are seeking community partner organizations to participate in the Data Sprint. Interested organizations should have their own data, a related question or problem they would like to answer or solve, and at least one representative willing to participate in some planning activities as well as participating during the week of the data sprint. There is no charge for the organization to participate in the project.
Important Dates:
Information sessions (via Microsoft Teams):
Thursday, February 13, 10-11 a.m.
Teams link
Meeting ID: 258 451 798 338
Passcode: g3jt9qH9
Call in: 575-323-9652, Phone conference ID: 456 816 37
Tuesday, February 25, 1- 2 p.m.
Teams link
Meeting ID: 214 763 541 885
Passcode: AE2pC375
Call in: +575-323-9652, Phone conference ID: 141 285 391#
Application deadline: Friday, March 14, 2025
Finalist organization interviews: March 17-21, 2025
Selected community partners notified: March 24, 2025
Data Sprint: July 7-14, 2024
Eligibility:
To be eligible to be a community partner, an organization should be a nonprofit, tribal, and/or non-Federal government entity located in one or more of the following Northern NM counties: Los Alamos, Mora, Rio Arriba, San Miguel, Sandoval, Santa Fe, or Taos. Organizations that applied in previous years are encouraged to re-apply.
If you are interested, we encourage you to attend one of the information sessions listed above. If neither time works for you and you would like to gain more information, please reach out to us at datasprint@lanl.gov.
How to Apply:
To apply, fill out this application form.
Example Projects:
Here we describe the two successful projects from the 2021 Community Data Sprint. Note that these are just two examples, although they were extremely successful. We encourage applications to be creative in thinking about what problems they might solve with their own unique datasets.
Example 1: Student Retention (Northern New Mexico College and Santa Fe Community College)
Los Alamos National Laboratory partnered with NNMC and SFCC to investigate student retention rates and risk factors. The colleges provided an extensive dataset on student performance and demographics, and asked whether certain types of students were at higher risk for not completing their degrees. A related question was whether there were any positive patterns in the data that indicated what additional resources the colleges might use to encourage student success.
Example 2: Impact and Diversity (Rocky Mountain Youth Corps)
Los Alamos National Laboratory partnered with RMYC to investigate the organization’s overall impact in a quantitative way and to evaluate the effectiveness of recent diversity initiatives. RMYC provided a dataset including member demographics, programs completed, and pre-/post-program surveys. Laboratory data scientists provided quantitative metrics regarding program outcomes, as well as success rates of students belonging to under-represented groups.