The Patrick J. McGovern Foundation is inviting climate action nonprofits all over the world to apply for its next set of Accelerator Program Grants.
The program is a novel opportunity that provides nonprofits with data support, tools, and expertise to develop and test a data hypothesis.
The theme for the cohort is ‘Data to Drive Climate Action’, as such organizations working across a range of environmental issues and climate change are invited to submit an expression of interest.
For the next cohort which will run for nine months in 2022, up to 12 climate action organizations will be selected for the next cohort.
This high-touch grant collaboration is designed to advance data maturity within nonprofits while also empowering them to deliver on a specific data project.
Grant size
The Accelerator Program Grants program provides in-kind contributions of resources, expertise, and supplementary support to cover expenses associated with running the data experiment of up to $100,000.
Program expectation
Accelerator program grantees will be expected to demonstrate a commitment to shared learning, including documenting and setting an example of how others in their field can advance nonprofit data maturity in an impactful, responsible, inclusive way.
If selected, participants will team up with the organizer’s in-house technical team to handle the following:
- Translate problem definitions into data questions
- Prepare the data for ingesting, and
- Use a cloud-based platform to determine whether the datasets explored contain the information needed to answer those previously defined questions
How to apply
If you are interested in submitting an expression of interest for the 2022 cohort of Accelerator program grants, you will need to create an account on GivingData portal.
Once that is done, you will provide your organization’s contact information and respond to the following prompts:
Provide an overview of your project. Highlight the origin of your hypothesis and why it’s worth exploring. How does this project align with your organization’s mission?
Describe the datasets that you propose to use (e.g. size, type, data model, frequency of new data, level of preprocessing effort needed to get data ready for analysis, challenges in working with or acquiring the datasets, etc.) (300-word limit)
List the data analysis/ML concepts/techniques and methods you wish to explore. Has any prior work been explored or completed by your team around these methods? (300-word limit)
How does your organization define data maturity? At what level of data maturity do you believe your organization is currently operating? Which aspects of data maturity might the completion of this project help your organization advance?
Provide CVs or LinkedIn profiles for the team that would be working on this project, and please list any partners working with you on this project. What area of expertise/focus will they bring to the project? (300-word limit)
