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UID:9363-1763985600-1763989200@brown.columbia.edu
SUMMARY:AI Club at CJS
DESCRIPTION:Welcome to the Columbia Journalism School AI Club! We meet every other Monday in the Brown Institute (1st floor Pulitzer Hall). \nSign up to Join
URL:https://brown.columbia.edu/event/ai-club-at-cjs-5/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/jpeg:https://brown.columbia.edu/wp-content/uploads/2025/09/ai-club.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260124T090000
DTEND;TZID=America/New_York:20260124T180000
DTSTAMP:20260424T040624
CREATED:20260119T153303Z
LAST-MODIFIED:20260119T153405Z
UID:9541-1769245200-1769277600@brown.columbia.edu
SUMMARY:Learn how to Create News Content for Social Media - Workshop
DESCRIPTION:What should journalism look like in a social media-dominated world? Join us for a two day hands-on workshop\, brought to you by the Brown Institute for Media Innovation and the Tow Center for Digital Journalism\, in which you’ll build essential skills and create your own TikTok-style video! \nFriday will kick off with pizza and a conversation with Joseph Ferguson\, host and producer on the Washington Post Universe TikTok Team\, and June Kim\, graphics and multimedia editor at the New York Times and recent Columbia Journalism School alum. We’ll explore topics including thinking visually\, speaking the language of modern audiences\, and telling stories that would be impossible in another medium. \nSaturday will be a hands-on workshop with Joseph\, who will guide participants through the complete process of creating a vertical video—from concept to final edit. No experience required. Yes\, you can learn this in a day\, and you will leave with a video you made yourself! \nRegister here. Space is limited for Saturday’s workshop. It is not required to attend both days. \nQuestions? Contact Megan Kim mk4643@tc.columbia.edu or Eric Chen ec3729@columbia.edu
URL:https://brown.columbia.edu/event/learn-how-to-create-news-content-for-social-media-workshop/
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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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260225T120000
DTEND;TZID=America/New_York:20260225T133000
DTSTAMP:20260424T040624
CREATED:20260219T152838Z
LAST-MODIFIED:20260223T141127Z
UID:9599-1772020800-1772026200@brown.columbia.edu
SUMMARY:AI Club at CJS
DESCRIPTION:Welcome to the Columbia Journalism School AI Club! We meet every other Monday in the Brown Institute (1st floor Pulitzer Hall). \nThis week\, we’ll explore text embeddings (aka semantic maps). Imagine a government agency suddenly releases a large trove of pdf documents. There’s no way you can reasonably read millions of documents all at once so you’re left guessing at what might be in them. You search for keywords you think might surface documents with news value. But what if there was a way to leverage AI to show you all the documents at once\, grouping similar ones together and allowing you to quickly get a sense of the whole corpus? Researchers at the Tow Center will show you a few examples of semantic maps in action (including of the Epstein files) and share some code that can help you make your own. As usual\, there will be pizza. \nSign up to Join
URL:https://brown.columbia.edu/event/ai-club/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/jpeg:https://brown.columbia.edu/wp-content/uploads/2025/09/ai-club.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260309T120000
DTEND;TZID=America/New_York:20260309T140000
DTSTAMP:20260424T040624
CREATED:20260309T145814Z
LAST-MODIFIED:20260309T145814Z
UID:9623-1773057600-1773064800@brown.columbia.edu
SUMMARY:AI Club
DESCRIPTION:Join us for AI Club\, happening every other Monday at Columbia Journalism School.\n\nThis week\, we are joined by Rachel Jupp\, the Editorial Executive on the Gen AI team at the BBC! Rachel will demonstrate a case study of an AI-powered news product that the BBC deployed. She will speak about how the BBC developed their editorial policy and guidelines for AI and how they use them to decide when they will use AI in production and when they will not. Rachel will also offer a look at what may come next for AI at the BBC\, touching on emerging ideas\, experiments\, and challenges they are facing.\n\n—\nRachel Jupp has worked in a variety of editorial roles in the BBC\, including as Editor of the investigative programme\, Panorama. She is the Editorial Executive on the Gen AI team and works on all editorial issues related to the use of tools. Prior to the BBC\, she worked at Channel 4 News in London and NPR in New York. She has an MPA from Columbia\, where she concentrated on Journalism\, at the J School. She is currently based in Washington DC\, where she has represented the BBC in discussions about AI regulation. She will return to London in June 2026\, to take up a new role as Director of Long Form\, in BBC News.
URL:https://brown.columbia.edu/event/ai-club-2/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/jpeg:https://brown.columbia.edu/wp-content/uploads/2025/09/ai-club.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260402T120000
DTEND;TZID=America/New_York:20260402T140000
DTSTAMP:20260424T040624
CREATED:20260327T133333Z
LAST-MODIFIED:20260327T133344Z
UID:9631-1775131200-1775138400@brown.columbia.edu
SUMMARY:AI Club
DESCRIPTION:This week\, we’re using AI to help us scrape data from the web! Instead of our usual instructor-led format\, we’ll start by exploring how the web actually works — looking at the sites we visit and how traffic moves between our browsers and servers. From there\, we’ll review traditional web scraping workflows before diving into new strategies for using LLMs to tackle these same tasks. For the main part of the session\, we’ll break into teams to perform a web scrape\, then use an LLM to turn that data into a simple visualization. \nRegister and learn more at jschoolai.club.
URL:https://brown.columbia.edu/event/ai-club-3/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/jpeg:https://brown.columbia.edu/wp-content/uploads/2025/09/ai-club.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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