Machine Learning Reporting Grants
The Pulitzer Center’s Machine Learning Reporting Grants fund innovative, data-driven journalism projects that use machine learning to investigate and transparently report on systemic issues.
Funder: Pulitzer Center
Due Dates: Rolling
Funding Amounts: Most awards range from $10,000–$25,000; no strict maximum or minimum; funding may be higher or lower depending on project scope.
Summary: Supports collaborative, data-driven journalism projects that use machine learning to investigate and report on systemic issues, emphasizing transparency and innovation.
Key Information: Does not cover staff salaries or routine newsroom expenses; open to journalists worldwide.
Description
The Pulitzer Center’s Machine Learning Reporting Grants are designed to empower journalists to investigate and expose systemic or large-scale issues using advanced data-driven techniques, including machine learning, natural language processing, geospatial analysis, and satellite imagery. The program fosters collaborative and transparent journalistic projects, encouraging radical transparency in methodology, code sharing, and ethical considerations. Projects should have the potential to serve as blueprints for other newsrooms and promote interdisciplinary teamwork and impactful storytelling. The Center seeks to support reporting that serves the public interest and reaches broad audiences.
