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Northern New Mexico Community Data Sprint

A week-long event will pair local nonprofit and social good organizations with a small team of Laboratory data scientists to solve data-related problems to benefit Northern New Mexico.

We are excited to announce the 2021 Northern New Mexico Community Data Sprint! This week-long event will pair local nonprofit and social good organizations with a small team of LANL data scientists to solve data-related problems to benefit Northern New Mexico.

ISTI logoThe data sprint event is sponsored by LANL’s Information Science & Technology Institute and Community Partnerships Office, and will occur in summer 2021.

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:

  • Application Deadline: March 1, 2021
  • Finalist Organization Interviews: March 4-5, 2021
  • Selected Community Partners Notified: March 8, 2021

Eligibility:

To be eligible to be a community partner, an organization must be either a nonprofit, or a local, state, or tribal government. In addition, the organization’s mission should include serving the Northern New Mexico community in some capacity.

To apply: 

Example Projects

Here are two example scenarios that illustrate two types of projects that would be appropriate for this call. These are just two suggestions; we encourage applicants to be creative in thinking about what problems they might solve with their own unique data.

Example 1: Resource Allocation

Mobile services, such as mobile food banks, record the volume of food donated, the volume of food distributed at which locations, and their usual travel routes and distribution locations over time. These services need to decide how to spend their funds to service the greatest number of people. An appropriate data analysis question might be: which distribution locations should we visit on each weekday to serve the most people while spending the least amount of money on travel?

Example 2: Improving Public Engagement

Animal shelters keep track of data regarding animal intake, adoption dates, photos of the animal, and usually a short description of the animal posted to their website. These descriptions are intended to attract interested adopters. An appropriate data analysis question might be: what kinds of descriptions help get animals adopted faster?

Questions?

Please email communitydatasprint@lanl.gov with any questions