BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Brown Institute - ECPv6.17.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://brown.stanford.edu
X-WR-CALDESC:Events for Brown Institute
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260319T160000
DTEND;TZID=America/Los_Angeles:20260319T173000
DTSTAMP:20260302T155700Z
CREATED:20260204T212627Z
LAST-MODIFIED:20260302T155700Z
UID:9581-1773936000-1773941400@brown.stanford.edu
SUMMARY:Magic Grant Information Session (Stanford)
DESCRIPTION:The David and Helen Gurley Brown Institute at Columbia Journalism School and the School of Engineering at Stanford are delighted to announce its 2026-2027 Magic Grant program. Applications are due April 1\, 2026! To provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions. \nEach year\, the Brown Institute awards close to $1M in grants to help you “follow your passion and experiment with new approaches to storytelling\,” to paraphrase Helen Gurley Brown. \nOur “Magic Grants” are a unique blend of technology and media. Grantees develop new ways to find and tell stories —  producing platforms that extend our creativity\, or creating powerful new works of journalism. \n\nA Magic Grant can mean financial support for you and your team for up to a year (fellowships at Columbia\, research positions at Stanford)\nA Magic Grant can provide funding for your project — for production\, prototyping\, or purchasing services\, software or equipment\nA Magic Grant offers access to mentorship and our extensive alumni network\n\nThe Magic Grant program provides year-long funding awards of up to $150\,000 ($300\,000 for teams with members of both the Columbia and Stanford communities and their collaborators). In addition to funding\, grantees have access to a distinguished advisory and mentoring group\, and an extensive and inspiring alumni network. \nIf you’re interested in learning more about our Magic Grant offerings\, come to our upcoming information session where you can find out: \n\nThe types of projects we’re interested in supporting\nThe various types of support we offer to grantees & fellows\nEligibility guidelines\nHow our staff can help you develop your proposal\nHow to apply\n\nIf you have any questions\, write to us at brown_institute@stanford.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-stanford-11/
LOCATION:Brown Institute at Stanford (CoDa Building\, E301)\, 389 Jane Stanford Way\, Stanford\, CA\, 94305\, United States
CATEGORIES:Info Sessions
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2026/02/EventsFeed-Stanford-100.jpg
ORGANIZER;CN="Brown Institute @ Stanford":MAILTO:brown_institute@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260330T160000
DTEND;TZID=America/Los_Angeles:20260330T173000
DTSTAMP:20260302T155633Z
CREATED:20260204T212718Z
LAST-MODIFIED:20260302T155633Z
UID:9584-1774886400-1774891800@brown.stanford.edu
SUMMARY:Magic Grant Information Session (Stanford)
DESCRIPTION:The David and Helen Gurley Brown Institute at Columbia Journalism School and the School of Engineering at Stanford are delighted to announce its 2026-2027 Magic Grant program. Applications are due April 1\, 2026! To provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions. \nEach year\, the Brown Institute awards close to $1M in grants to help you “follow your passion and experiment with new approaches to storytelling\,” to paraphrase Helen Gurley Brown. \nOur “Magic Grants” are a unique blend of technology and media. Grantees develop new ways to find and tell stories —  producing platforms that extend our creativity\, or creating powerful new works of journalism. \n\nA Magic Grant can mean financial support for you and your team for up to a year (fellowships at Columbia\, research positions at Stanford)\nA Magic Grant can provide funding for your project — for production\, prototyping\, or purchasing services\, software or equipment\nA Magic Grant offers access to mentorship and our extensive alumni network\n\nThe Magic Grant program provides year-long funding awards of up to $150\,000 ($300\,000 for teams with members of both the Columbia and Stanford communities and their collaborators). In addition to funding\, grantees have access to a distinguished advisory and mentoring group\, and an extensive and inspiring alumni network. \nIf you’re interested in learning more about our Magic Grant offerings\, come to our upcoming information session where you can find out: \n\nThe types of projects we’re interested in supporting\nThe various types of support we offer to grantees & fellows\nEligibility guidelines\nHow our staff can help you develop your proposal\nHow to apply\n\nIf you have any questions\, write to us at brown_institute@stanford.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-stanford-12/
LOCATION:Brown Institute at Stanford (CoDa Building\, E301)\, 389 Jane Stanford Way\, Stanford\, CA\, 94305\, United States
CATEGORIES:Info Sessions
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2026/02/EventsFeed-Stanford-100.jpg
ORGANIZER;CN="Brown Institute @ Stanford":MAILTO:brown_institute@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260330T170000
DTEND;TZID=America/New_York:20260330T180000
DTSTAMP:20260302T155620Z
CREATED:20260204T212214Z
LAST-MODIFIED:20260302T155620Z
UID:9574-1774890000-1774893600@brown.stanford.edu
SUMMARY:Magic Grant Information Session (Columbia)
DESCRIPTION:The David and Helen Gurley Brown Institute at Columbia Journalism School and the School of Engineering at Stanford are delighted to announce its 2026-2027 Magic Grant program. Applications are due April 1\, 2026! To provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions. \nEach year\, the Brown Institute awards close to $1M in grants to help you “follow your passion and experiment with new approaches to storytelling\,” to paraphrase Helen Gurley Brown. \nOur “Magic Grants” are a unique blend of technology and media. Grantees develop new ways to find and tell stories —  producing platforms that extend our creativity\, or creating powerful new works of journalism. \n\nA Magic Grant can mean financial support for you and your team for up to a year (fellowships at Columbia\, research positions at Stanford)\nA Magic Grant can provide funding for your project — for production\, prototyping\, or purchasing services\, software or equipment\nA Magic Grant offers access to mentorship and our extensive alumni network\n\nThe Magic Grant program provides year-long funding awards of up to $150\,000 ($300\,000 for teams with members of both the Columbia and Stanford communities and their collaborators). In addition to funding\, grantees have access to a distinguished advisory and mentoring group\, and an extensive and inspiring alumni network. \nIf you’re interested in learning more about our Magic Grant offerings\, come to our upcoming information session where you can find out: \n\nThe types of projects we’re interested in supporting\nThe various types of support we offer to grantees & fellows\nEligibility guidelines\nHow our staff can help you develop your proposal\nHow to apply\n\nRegister to Attend an Information Session \nZoom for Information Session \nIf you have any questions\, write to us at browninstitute@columbia.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-columbia-16/
LOCATION:Virtual (Information Session)
CATEGORIES:Info Sessions
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2026/02/events-columbia-scaled.png
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:20260327T133344Z
CREATED:20260327T133333Z
LAST-MODIFIED:20260327T133344Z
UID:9631-1775131200-1775138400@brown.stanford.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.stanford.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.stanford.edu/wp-content/uploads/2025/09/ai-club.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260508
DTEND;VALUE=DATE:20260511
DTSTAMP:20260216T160246Z
CREATED:20260216T160246Z
LAST-MODIFIED:20260216T160246Z
UID:9594-1778198400-1778457599@brown.stanford.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.stanford.edu/event/media-party-nyc/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2026/02/newsletter.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260916T120000
DTEND;TZID=America/New_York:20260916T133000
DTSTAMP:20260910T212051Z
CREATED:20260910T205057Z
LAST-MODIFIED:20260910T212051Z
UID:9784-1789560000-1789565400@brown.stanford.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.stanford.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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261003T100000
DTEND;TZID=America/New_York:20261003T160000
DTSTAMP:20260916T145235Z
CREATED:20260916T145235Z
LAST-MODIFIED:20260916T145235Z
UID:9789-1791021600-1791043200@brown.stanford.edu
SUMMARY:Dataviz Workshop with The Pudding
DESCRIPTION:Graphical presentations of data have become an almost essential part of journalistic practice. Data visualization helps us see patterns in data and is an important tool for finding stories. Over the past decade\, major outlets including The New York Times\, The Washington Post\, and Reuters have been publishing data visualizations that push the idea of storytelling\, creating new data-driven ways to inform and entertain. Alongside these graphics are newsrooms based entirely on data visualization\, including the Kontinentalist and The Pudding. \nIn this day-long workshop sponsored by the Brown Institute\, members of The Pudding will introduce participants in their tried-and-true design process\, segmented into four stages: story\, data\, design\, and development. \nIn the week leading up to the event\, accepted participants to the workshop will be asked to embark on a creative journey to collect data about their personal relationship to the upcoming midterm elections. This might be directly connected to campaigning\, such as the candidate ads you see on YouTube\, campaign mail arriving at your home\, or signs you see in your surrounding neighborhoods. Or it could be more personal and observational. A record of the substitutions you make at the grocery store to stay within your budget. Or the cost of your usual purchases compared with old receipts. Or the time you spend navigating transportation\, school\, or other everyday concerns that shape what matters to you in this election. \nInspired by the work of Denis Wood\, who mapped his neighborhood in surprising ways\, and Giorgia Lupi\, known for blending data and personal stories\, we encourage you to be creative! Use whatever tools come naturally to you\, whether it’s pen and paper\, a spreadsheet\, or a snippet of code. The idea is to collect something from your own experience\, rather than scour the internet for large datasets about elections. Every one of us has a unique perspective on this political moment\, and we can’t wait to see what data you find interesting and valuable. Do not spend more than a couple hours on this effort. \nThe session with The Pudding will begin with Story\, a throughline that should resonate with all participants of the program. As we’ve all experienced\, the strongest visualizations are those with equally strong narratives. Diving deeper\, students will be introduced to the realm of Data. Using curated datasets around key topics\, students will seek to uncover the nuances of integrating specific\, meaningful data with their narratives. The emphasis then shifts to the visual canvas\, focusing on the core elements of Design. The goal is to ensure that every story is captivating both visually and narratively. And culminating the day is a glimpse into Development. While the intricacies of programming might remain in the backdrop\, attendees will understand and appreciate the development scaffolding that turns their narratives and designs into dynamic interactive features. \nApply to Attend \nThis workshop will only be able to accommodate 24 students. Applications are due by midnight on Wednesday\, October 23. Notices will be sent out on Friday\, October 25. \n\nAbout the Presenters \nCaitlyn Ralph is the former Studio Director at The Pudding’s in-house data journalism agency called Polygraph\, where the same type of visual storytelling work happens but for brands and organizations. Her BA is in Computer Science\, her MS is in Data Viz\, and her prior professional experience is in magazine journalism. She spends her non-working days running\, taking film pictures\, and on a K-pop group called Stray Kids. \nAlvin Chang is an assistant professor of Journalism and Design at the New School. He’s a data and visual journalist who has worked in several newsrooms\, most recently as Head of Visuals and Data at Guardian US. His work as a journalist often combines deep reporting with data analysis to help readers clearly understand the world around them. His stories often show how small decisions accrue into invisible problems like discrimination\, segregation\, and ultimately dehumanization. And he makes those things visible using data viz\, interactives\, cartoons\, and videos.
URL:https://brown.stanford.edu/event/2026-dataviz-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
END:VEVENT
END:VCALENDAR