Learning Lab Grand Challenge: Building Critical Mass in Data Science

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Opportunity Type:
  • Grant
Last Updated:



This grant is intended to promote the buildout of a data science educational infrastructure that will further educate and engage faculty, mobilize intersegmental collaboration, and create both clarity and plenty in the options students can pursue for their interest and future careers.


Learning Lab intends to award the following categories of grants:

Pathways Development
Up to 3 awards | ≤$1.3 million each | Over 3-4 years

Faculty Development
Up to 5 awards | ~$200K to ~$350K each | Over 2-3 years

Interdisciplinary Collaboration
Up to 9 awards | ~$100K to ~$200K each | Over 2-3 years

Grand Challenge Cohort Coordinator
Up to 1 award | ≤$500k | Up to 5 years

Please go to https://calearninglab.org/grant/data-science-rfp/ for more info.

Eligibility Requirements

Eligible Applicants:

  • Public Agency

Primary applicant must be a University of California or California State University institution, or California Community College. Intersegmental collaboration is required for two out of the four subgrant categories.

Important Dates

The date (and time, where applicable) by which all applications must be submitted to the grantmaker. Time listed as “00:00” equates to midnight.
The date on which the grantor expects to announce the recipient(s) of the grant.
May 12, 2023
The length of time during which the grant money must be utilized.
2-5 years

Funding Details

The total projected dollar amount of the grant.
See Notes Below
A single grant opportunity may represent one or many awards. Some grantors may know in advance the exact number of awards to be given. Others may indicate a range. Some may wish to and wait until the application period closes before determining how many awards to offer; in this case, a value of “Dependent” will display.
Grant opportunities representing multiple awards may offer awards in the same amount or in varied amounts. Some may wish to wait until the application period closes before determining per-award amounts; in this case, a value of “Dependent” will display.
Certain grants require that the recipient(s) provide a letter of intent.
Yes ( see Description for details )
Certain grants require that the recipient(s) be able to fully or partially match the grant award amount with another funding source.

Available Funding Notes:

Please see https://calearninglab.org/grant/data-science-rfp/ for more details.

The funding source allocated to fund the grant. It may be either State or Federal (or a combination of both), and be tied to a specific piece of legislation, a proposition, or a bond number.
  • State
The manner in which the grant funding will be delivered to the awardee. Funding methods include reimbursements (where the recipient spends out-of-pocket and is reimbursed by the grantor) and advances (where the recipient spends received grant funds directly).
  • Advances & Reimbursement(s)

How to Apply

State agencies/departments recommend you read the full grant guidelines before applying.


For questions about this grant, contact:
Lark Park, 1-866-325-3222, info@calearninglab.org