- Eligibility Criteria: Applicants must be based in one of the following Southern African countries: Namibia, Malawi, Zimbabwe, Botswana, Zambia, Eswatini, or Lesotho. Must be at least 21 years old and hold a valid passport. Applicants must be supported by their newsroom or organisation.
Must demonstrate a strong commitment to ethical journalism and public service values. Must be available for in-person travel to Windhoek, Namibia (26–30 January 2026) and for virtual programme activities. Eligible entities include newsrooms, civil-society organisations, fact-checking groups, information providers, and community media platforms engaged in journalistic work. - Type of Funding: Fellowship programme providing financial support, training, mentorship and access to a regional innovation community.
- Target Region: Journalists and media organisations from Southern Africa (Namibia, Malawi, Zimbabwe, Botswana, Zambia, Eswatini, Lesotho).
- Application Language: Not explicitly stated, but applications are typically submitted in English for DW Akademie programmes.
Objectives
- To advance public service journalism through responsible and innovative uses of artificial intelligence.
- To support the development of ethical, practical and impactful AI solutions for newsrooms.
- To strengthen audience engagement, newsroom efficiency, and the credibility of information using AI.
- To build a regional community of media innovators committed to transparency, truth and public interest journalism.
Project Themes
- AI-driven tools or processes for journalism (machine learning, generative AI, natural language processing).
- Audience-serving AI applications that improve access to reliable information.
- Newsroom efficiency solutions (automation, data processing, workflows).
- Strengthening accuracy, transparency and public trust using AI.
- Human-centred design methodologies applied to journalism and technology.
Financial Support: €4,000 fellowship grant for project development and implementation.
Deadline: 23 November 2025
See here to learn more and apply
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