[Pulitzer Center](https://pulitzercenter.org)

Rolling (applications reviewed as received)

Funding amount varies; typical awards support ambitious, ML-based reporting projects.

Supports journalists using machine learning to enhance big data investigations as part of the AI Accountability Network.

--- ## Description The Machine Learning Reporting Grants, offered by the Pulitzer Center’s AI Accountability Network, are designed to support journalists who seek to use machine learning (ML) as a core tool for reporting on large or complex datasets. These grants aim to foster impactful, data-driven investigations into issues where uncovering patterns, anomalies, or trends in vast data volumes is central—examples include geospatial analysis, satellite imagery, and investigations into corporate or environmental activities. The program emphasizes that ML should augment, not replace, journalistic judgment, and encourages projects that scrutinize and demystify the use of AI and data-driven technologies in society. Recipients of the grant join a global community of journalists, gaining access to resources, collaboration opportunities, and ongoing support to advance innovative, ML-enabled journalism. --- ## Due Dates - Applications are accepted and reviewed on a rolling basis; there is no fixed deadline. - Submit anytime; applications are evaluated as received. --- ## Funding Amount - Funding amounts are not strictly specified, but grants are designed to support ambitious reporting projects where machine learning is a core investigative technique. - The Pulitzer Center typically funds necessary costs for records requests, data analysis, travel, and related expenses. - Award size and duration depend on the scope and needs of the proposed project. --- ## Eligibility - Open to journalists worldwide—both staff and freelance—working across all platforms (print, radio, video, multimedia). - Applicants must propose a project where machine learning is central to the reporting process, especially for large or complex datasets. - Teams may include data scientists, developers, or technical collaborators, but a lead journalist must be identified. - There are no specific geographic, nationality, or experience restrictions; however, applicants should demonstrate the ability to implement and interpret ML techniques within their reporting. - The program welcomes applications from journalists and newsrooms representing diverse and underrepresented communities. --- ## Application Process - Prepare a detailed project proposal outlining: - The journalistic question and its public-interest value. - The datasets to be analyzed and the ML methods to be used. - How machine learning will enhance reporting capacity. - Expected outputs and dissemination plans. - Applications are submitted through the [Machine Learning Reporting Grants program page](https://pulitzercenter.org/grants-fellowships/opportunities-journalists/machine-learning-reporting-grants). - Review the latest requirements and budget guidelines on the program page. - Strong proposals should show pre-reporting, a clear methodology, and realistic plans for execution. - Participation in the AI Accountability Network community is expected, including sharing methodologies and lessons learned. --- ## Additional Information - Grantees join the AI Accountability Network, gaining access to a global community, resources, and opportunities for collaboration and training. - The Pulitzer Center encourages “radical sharing” of methodologies so that funded stories serve as blueprints for other journalists. - Related programs include the AI Accountability Fellowships, AI Reporting Grants, and the AI Spotlight Series (training recommended for those new to ML reporting). - For journalists new to AI/ML, consider participating in the [AI Spotlight Series](https://pulitzercenter.org/focus-areas/information-and-artificial-intelligence/ai-spotlight-series) to build relevant skills. --- ## External Links - [Machine Learning Reporting Grants program page](https://pulitzercenter.org/grants-fellowships/opportunities-journalists/machine-learning-reporting-grants) - [AI Accountability Network](https://pulitzercenter.org/journalism/initiatives/ai-accountability-network) - [AI and ML reporting resources](https://pulitzercenter.org/ai-reporting-resources#ml) - [AI Spotlight Series (training)](https://pulitzercenter.org/focus-areas/information-and-artificial-intelligence/ai-spotlight-series) --- ## Contact Information | Contact | Details | |-------------------------|-------------------------------------------------| | General Inquiries | contact@pulitzercenter.org | | Editorial/Grant Queries | [reacheditorial@pulitzercenter.org](mailto:reacheditorial@pulitzercenter.org) | | Phone | (202) 332-0982 | | Address | 2000 Pennsylvania Ave NW Suite #7000, Washington, DC 20006, United States | ---

Machine Learning Reporting Grants

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