The data sprint event is sponsored by LANL’s Information Science & Technology Institute and Community Partnerships Office, and will occur in summer 2023.
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.
Information sessions (via Zoom):
Wednesday, January 18th, 2023 at 3:00pm. Register in advance for this meeting: https://lanl.zoomgov.com/meeting/register/vJItceGsqT8qHTo-kQ-sDmUAu0_0ux3WogQ
Thursday, February 7th, 2023 at 10:00am. Register in advance for this meeting: https://lanl.zoomgov.com/meeting/register/vJItdOuvrDgiEu8FvWOyJJbyUE-sMj13oGo
(After your registration has been received and verified, you will receive a confirmation email containing login information about joining the meeting.)
Application deadline: Wednesday, February 22, 2023
Finalist organization interviews: March 13 - 17, 2023
Selected community partners notified: March 30, 2023
Data Sprint: July 10th - July 14th, 2023
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 to the 2021 or 2022 data sprint 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 email@example.com.
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. Learn more about last year’s projects here.
Example 1: Student Retention (Northern New Mexico College and Santa Fe Community College)
LANL 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)
LANL 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. LANL data scientists provided quantitative metrics regarding program outcomes, as well as success rates of students belonging to under-represented groups.
Please email firstname.lastname@example.org with any questions.