300 people—including scientists, journalists, programmers and entrepreneurs—will meet for three days to redefine the future of the industry.
Individual journalists are increasingly becoming the primary distribution channel for news, building audiences on platforms optimized for personality over institution. What does this shift mean for editorial standards, ethical boundaries, and sustainable business models?
AI tools promise new capabilities for under-resourced newsrooms: automated translation, audience engagement, data analysis at scale. How do we ensure that things as crucial as understanding community trust and local information ecosystems are valued by the platforms we adopt?
Newsrooms are building and adopting AI systems with limited cross-industry collaboration and inconsistent evaluation. This track creates space for practitioners to compare approaches, surface what hasn't worked, and develop frameworks for assessing AI tools in real production environments.
As AI-driven systems increasingly mediate discovery, news organizations must understand not only what they publish but how it travels and to whom. What strategies can we deploy to reach and retain audiences across fragmented platforms and diverse global markets?