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UID:9594-1778198400-1778457599@brown.columbia.edu
SUMMARY:Media Party NYC
DESCRIPTION:From May 8 to 10\, 2026\, Columbia University’s Brown Institute hosts Media Party NYC\, bringing together 300 journalists\, technologists\, researchers\, and entrepreneurs from around the world to take on the forces reshaping news: AI-driven workflows\, shifting audience behavior\, and the creators and platforms now mediating how people find information. \nWe’re in a post-search era. A generation now encounters journalism through individual creators and vertical video\, and traditional consumers are increasingly getting their information straight from AI platforms. Not homepages\, not search\, not television broadcasts. Newsrooms worldwide are adopting generative AI tools\, but unevenly\, at different scales\, applied to different problems\, with results that range from genuine editorial advancement to cautionary failures. These shifts look different from Buenos Aires to Nairobi to New York\, and understanding that variation is essential to any serious response. \nAt a critical moment for the industry\, Media Party focuses squarely on this transition: exploring how newsrooms and content creators must adapt when AI reshapes the information landscape. \nRegister to Attend \nThe Program\nMedia Party is not a traditional conference. It combines keynotes\, workshops\, a media fair\, and a hackathon. It is a workspace designed to create the conditions for innovation to actually happen. Innovators from media organizations\, small and large\, technology providers ranging from startups to big platforms\, and the scientific and open source communities will convene across four themes: \n\nNews Influencers & Vertical Video\nIndividual 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\, and how creator dynamics differ across media markets worldwide?\nLocal News & Civic Technology\nAI tools promise new capabilities for under-resourced newsrooms: automated translation\, audience engagement\, data analysis at scale. But implementation demands more than technology. How do we ensure that things as crucial as understanding community trust\, local information ecosystems\, and the specific vulnerabilities of civic journalism are valued by the platforms and systems we adopt?\nInternal Tools & AI Workflows\nNewsrooms 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.\nAudiences & Algorithmic Distribution\nAs 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?\n\nWho Should Attend \nThis convening is for communications leaders navigating AI integration\, developers building tools for journalism\, researchers studying human-AI collaboration\, entrepreneurs developing sustainable news models\, and any professional interested in the civic technology ecosystem and the future of news. \n“The most significant transformation that Media Party brings to its participants is the ability to forge lasting connections with unique players in the industry: media outlets\, technologists\, and global entrepreneurs. The sustainability and credibility of the media ecosystem must be accompanied by a network of shared relationships designed for the long term”\, Mariano Blejman\, Media Party director.
URL:https://brown.columbia.edu/event/media-party-nyc/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Conferences
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ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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DTSTART;TZID=America/New_York:20260916T120000
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UID:9784-1789560000-1789565400@brown.columbia.edu
SUMMARY:AI Club
DESCRIPTION:AI Club is a monthly meetup exploring practical\, ethical\, and reliable uses of AI in journalism. \nJoin us for our first session\, where we’ll hear from journalists and engineers working to support reporting with AI\, including the Executive Editor for Data Journalism at Bloomberg. Together\, we’ll survey the rapidly evolving landscape of tools available to journalists. This includes everything from transcription and data analysis to working securely with sensitive documents using models that run locally on your computer. We’ll discuss what these tools are good at\, where they fall short\, and how they are already being incorporated into reporting workflows. \nWe’ll also introduce our weekly office hours\, where CJS students can get hands-on help using AI to tackle reporting and technical challenges throughout the year. \nPizza and refreshments will be provided. All Columbia students are welcome. 🍕🥤 \nBrought to you by the Brown Institute for Media Innovation and the Tow Center for Digital Journalism \n\nA bit about AI Club \nOver the course of the year\, we’ll explore practical applications of AI in reporting. From cleaning and classifying data\, to performing data analysis and visualization. We will also explore building one-off applications to advance reporting. With the midterms approaching\, elections coverage will serve as our central theme. \nMonthly meetups will provide hands-on tutorials\, guided prompts\, and demonstrations of AI tools. Sessions will be led by both working practitioners and staff at the Brown Institute and Tow Center. \nCoupled with our monthly meetup will be weekly office hours led by students from Computer Science\, who will help think through the various problems that we tackle during the meetup\, as well as any other AI questions you might have throughout your time at CJS. Maybe you want to scrape specific filings from the SEC to surface misconduct? Or maybe you want to build an interactive data visualization to better tell a story? Think of these office hours as an opportunity for one-on-one consultation to help you use AI to accomplish a goal. \nAnyone from across the Columbia and Barnard communities are welcome to attend.
URL:https://brown.columbia.edu/event/ai-club-2026/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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