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Machine Learning Reporting Grants

Organisation: Pulitzer Center

Status: Open

  • Grant
  • Democracy and good governance

Funding Size: $10,000 to $25,000

Deadline: Ongoing

  • Eligibility Criteria:
    – This opportunity is open to U.S. residents and freelance data journalists, staff journalists, or groups of newsrooms working in collaboration around the world.
  • Type of funding: Programmatic
  • Target countries: Worldwide
  • Application language: English

The Pulitzer Center is seeking proposals that use advanced data mining techniques, such as machine learning and natural language processing, to solve a data or reporting problem related to a journalistic investigation.

They are seeking compelling data-driven storytelling—based on original and transparent data collection and analysis—that has the potential to shape public discourse and hold the powerful accountable.

Recent grantees have used machine learning to reveal the true scope of oil-well abandonment in Texas; hold land banks accountable in Ohio; and map the proliferation of gold mines in the Amazon rainforest. 

These projects harnessed machine learning to augment the reporters’ capacity to tackle big data and systemic issues. The reporters combined the use of machine learning with geospatial analysis, satellite imagery, and traditional shoe-leather reporting, among other approaches. 

See here to learn more and apply.

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