Deadline: 06-Feb-2026
The Earth Journalism Network invites applications for a Media Workshop in Indonesia and Vietnam aimed at strengthening journalists’ understanding of forest governance. The workshop provides training to enhance solutions-focused reporting, empower audiences, and hold decision-makers accountable, covering threats, developments, and pathways to achieving forest loss goals by 2030. Selected participants receive travel, accommodation, and meals covered, with sessions conducted in English.
Overview
The Earth Journalism Network Media Workshop is designed to equip journalists with knowledge and skills to report effectively on forest governance, policy, and solutions. Participants will gain insights into the latest threats to forests, innovations in forest protection, and strategies to hold decision-makers accountable. The workshop combines presentations and discussions with researchers, policymakers, civil society organizations, and local communities.
Workshop Structure
-
Sessions will include part-presentation and part-discussion formats
-
Field trip to a relevant location will be included
-
Final agenda to be shared with selected participants in April 2026
-
Emphasis on solutions-oriented reporting and practical application
Who Is Eligible?
-
Applicants must be journalists from Indonesia or Vietnam
-
Vietnamese journalists outside Vietnam may be considered case-by-case
-
Open to freelance and staff reporters, including community-based, local, national, and international media
-
Women, rural, Indigenous, and early-career journalists are strongly encouraged
-
Must have a working knowledge of English as all sessions are conducted in English
-
Applicants from any media format are eligible: online, print, television, radio, or other media
Funding and Support
-
Travel, accommodation, and meals for selected participants are covered by the organizers
-
No additional stipend or grant is provided
Application Requirements
-
Applications must be submitted in English
-
Applicants must be transparent about the use of generative AI tools in proposal preparation
-
Unethical or improper conduct, including submitting AI-generated content as one’s own work, may lead to disqualification
Selection Process
-
Total of ten participants: five from Indonesia and five from Vietnam
-
Selection based on professional experience, relevance of coverage, and commitment to reporting on forest governance
-
Successful applicants will be notified by February 2026
Why This Workshop Matters
This training strengthens journalists’ capacity to report on forest governance challenges and solutions, amplifying public awareness and influencing policymakers. Participants gain knowledge to produce impactful, solutions-focused journalism that contributes to forest protection and sustainability goals in Indonesia and Vietnam.
Frequently Asked Questions (FAQ)
Who can apply? Journalists from Indonesia and Vietnam, including freelance and staff reporters from all media types.
Can Vietnamese journalists outside Vietnam apply? Yes, on a case-by-case basis.
What costs are covered? Travel, accommodation, and meals for selected participants.
Is prior experience required? Applicants should have experience covering forest governance or related issues.
Are women, rural, Indigenous, and early-career journalists encouraged? Yes, these groups are strongly encouraged to apply.
What language is the workshop in? English; applicants must have a working understanding of English.
Can generative AI tools be used in applications? Yes, but applicants must be transparent; submitting AI-generated content as one’s own is prohibited.
Conclusion
The Earth Journalism Network Media Workshop provides journalists in Indonesia and Vietnam with the skills, knowledge, and networks to produce high-quality, solutions-focused reporting on forest governance. By empowering journalists to convey threats and solutions effectively, the workshop supports the achievement of forest protection goals by 2030 and strengthens accountability among policymakers.
For more information, visit EJN.









































