Machine Learning Reporting Grants
The Machine Learning Reporting Grants from the Pulitzer Center support journalists using machine learning to analyze big data and produce impactful, accountability-driven investigative stories.
Funder: Pulitzer Center
Due Dates: Rolling
Funding Amounts: No stated maximum; past grants up to $25,000 for similar programs; typical duration/project-based.
Summary: Supports journalists leveraging machine learning as a reporting tool on big data projects to produce impactful, accountability-driven stories.
Description
The Machine Learning Reporting Grants, offered by the Pulitzer Center as part of its AI Accountability Network, support journalists who seek to use machine learning and advanced data mining techniques in their investigative reporting. These grants are intended to empower reporters to analyze complex or large datasets using machine learning, often in combination with geospatial analysis, satellite imagery, and traditional investigative methods.
Funded projects have included mapping environmental changes, predicting infrastructure risks, and uncovering hidden ownership structures, all with a focus on holding powerful actors accountable for their use of AI technologies. The program aims to address the knowledge gap around artificial intelligence in journalism and foster a collaborative, multidisciplinary reporting ecosystem.
