Machine Learning Reporting Grants
Supports journalists worldwide in using machine learning for ambitious, data-driven reporting projects as part of the Pulitzer Center’s AI Accountability Network.
Funder: Pulitzer Center
Due Dates: Rolling (applications reviewed as received)
Funding Amounts: Funding amount varies; typical awards support ambitious, ML-based reporting projects.
Summary: 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.
