Media Party New York @ Brown - 2026

Anfibia is an independent media outlet from Argentina with 14 years of experience exploring a central question: how can journalism remain meaningful in an age of political polarization, information overload, and public distrust?
We work at the intersection of investigative reporting, literary nonfiction, performance art, and editorial innovation. Our hypothesis is that journalism must move beyond information delivery and become a form of civic and cultural experience.
Through our Performatic Journalism Lab, we test new narrative methodologies where reporting becomes live performance, immersive storytelling, and collaborative audience engagement. We explore whether journalism can create participation, not only attention.
Anfibia also functions as a regional network across Latin America, connecting journalists through fellowships, collaborative investigations, and training programs that strengthen independent media ecosystems.
Our model is sustainable: revenue is reinvested into journalism, experimentation, and community-building.
For Media Feria, we want to share Anfibia as a case study in how media organizations can combine editorial rigor, aesthetic experimentation, and technological adaptation to build the next generation of journalism.

The Global Index of Responsible AI measures how countries are honoring their international commitments on AI governance and responsible AI, especially those tied to UNESCO’s Recommendation on the Ethics of Artificial Intelligence. The project tracks 17 responsible AI topics, assessing whether countries have relevant laws, regulations, and real-world implementation, using a global network of 135 researchers—one in each country—who contribute data every two years. Beyond serving as a diagnostic tool for international organizations, the project also has strong value for journalists because it offers open, comparable data that helps contextualize public debates on AI, identify regulatory gaps, and bring a globally informed but locally grounded perspective led by a South African organization.

InfoAmazonia is a Brazilian nonprofit newsroom founded in 2012 to combine data journalism, maps, geojournalism, and in-depth reporting about the Amazon. Covering the nine countries that share the world’s largest continuous tropical rainforest, InfoAmazonia investigates social and environmental issues that reveal the global importance of Amazonian territories, communities, and ecosystems.

The organization works across three integrated areas: editorial production, collaborative journalism networks, and journalism education. Its reporting brings together fieldwork, open data, satellite imagery, geospatial analysis, interactive maps, multimedia storytelling, and public-interest technology to monitor issues such as deforestation, fires, mining, land conflicts, pollution, climate impacts, and threats to Indigenous and traditional communities.

Innovation is central to InfoAmazonia’s work — not only in the tools it develops and uses, but also in the way it produces, distributes, and collaborates on journalism. Through special projects, data platforms, cross-border investigations, and partnerships with local, regional, and international media outlets, InfoAmazonia connects technological experimentation with collaborative reporting. Its goal is to expand access to reliable information about the Amazon, strengthen journalism in the region, and create new ways for the public to understand complex environmental and social dynamics.

Redline is a story auditing platform that formed as an outgrowth of academic integrity checks. As you explore student work, you think about angles, methodology problems, data sourcing, reproducibility, AI-generated copy, confirming interviews – a hundred and one gotchas and potential missteps that only become more prevalent as we hand off more and more to AI. As I found myself being able to provide students with much more detailed feedback with a much faster turnaround time, it quickly became obvious that my grading platform could serve just as well for journalism as a whole.
Redline is built around an agentic system that processes your story and supplemental documents, automating the misstep-finding and first-pass editing process. It studies your copy, provides feedback, and tackles resource-intensive steps like verifying source and attempting to reproduce your research and findings (whether they're Google Docs, Word files, spreadsheets Github repos, or a handful of other formats).
The real bonus is its agentic and extensible nature - every newsroom has its own standards and guidelines, and individual stories and verticals might need different angles in its process. By providing several levels of "pluggability" you're able to customize the platform to exactly what suits your use case.