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DTSTART;TZID=America/New_York:20230421T140000
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SUMMARY:Computing &: A conversation series on computation and storytelling
DESCRIPTION:The Vagelos Computational Science Center (CSC) at Barnard College in partnership with The Brown Institute at Columbia Journalism School welcome you to Computing &\, a series of panels exploring the complex and multifaceted role of computing in spaces of public life. \nFramed around the theme of ‘Computing &’\, we will rotate through three crucial subtopics\, each representing an area where computation directly impacts vulnerable communities and the stories told about them. The discussions will highlight the oppressive and surveillant aspects of technology\, as well as the innovative ways individuals and groups have leveraged technology and journalistic reporting to counteract these effects. This event is in-person only. \nThe three panels will focus on the following topics: \n2:00pm – 3:15pm \n\nComputing & Carceral Technology: A deep dive into the role of computation on communities pre-\, during\, and post-incarceration\, exploring carceral technologies and alternative information networks. Featuring Sylvia Ryerson\, Dan “April” Feng\, Martin Garcia\, Clarence Okoh\, and moderated by Adam Iscoe.\n\n3:30pm – 4:45pm \n\nComputing & Queering Tech: A discussion on the role of queer communities in the design and implementation of internet technologies\, examining the challenges and opportunities presented by the digital world. Featuring Afsaneh Rigot\, Christina Dragon\, Colleen Macklin\, and a Tech Learning Collective instructor.\n\n5:00pm – 6:15pm \n\nComputing & Reproductive Justice: An exploration of how technology intersects with reproductive rights and justice. Featuring Anna Louise Sussman\, Runa Sandvik\, Dr. Kameelah Phillips\, and moderated by Saima Akhtar.\n\nComputing & is a unique series of talks that engage area experts\, scholars\, technologists\, and journalists working to expose and challenge harms often invisible to the masses. Full bios below. \nRegister to Attend \n__________________________________________________________________________________ \nChristina Dragon (she|her) serves as the Measurement and Data Lead in the NIH Sexual and Gender Minority Research Office. Previously she served as the Sexual and Gender Minority Data Lead in Medicare’s Office of Minority Health and as the data analyst for the Health People 2020 LGBT Health topic area at the National Center for Health Statistics\, CDC\, and has over a decade’s experience working on federal SGM data. She serves as the Terminology Subgroup lead for the Measuring Sexual Orientation and Gender Identity (SOGI) Research Group\, part of the Federal Committee on Statistical Methodology (FCSM)\, and recently co-led the subgroup on SOGISC data in administrative forms for the Federal Evidence Agenda on LGBTQI+ Equity. She holds a Masters’ Degree from Johns Hopkins Bloomberg School of Public Health\, and a double major from Smith College in Neuroscience and Woman and Gender Studies. \nDan “April” Feng is the Chief Operating Officer at Ameelio. She holds a Masters degree in Philosophy and Public Policy from the London School of Economics. An economist by training and curious by nature\, she had dedicated her work to solving the hardest challenges at the most critical time. Her previous experiences include solving social loneliness with Freakonomics author\, Steven Levitt\, working at the UK Parliament during Brexit\, and managing public  transportation innovations under then Mayor Pete Buttigieg. \nMartin Garcia is the Manager of News Inside\, the print publication of The Marshall Project\, and the Associate of Inside Story\, The Marshall Project’s new video series\, both of which are distributed in hundreds of prisons and jails throughout the United States. Martin is also one of the co-chairs of The Marshall Project’s Diversity\, Equity and Inclusion Committee. He is a Mercy College graduate and well versed in Department of Corrections policy. Previously\, Martin was a community coordinator for Worth Rises\, part of The Osborne Association as a Children’s Center Caregiver\, and an Advisor to its NY Initiative for Children of Incarcerated Parents. \nAdam Iscoe is a writer and editor from Austin\, Texas. His work has appeared in The New Yorker\, Harper’s Magazine\, Texas Monthly and McSweeney’s Quarterly Concern. Iscoe is an editor at Lapham’s Quarterly. In 2019\, he worked as a Visiting Scholar at The University of California\, Berkeley. He has also taught journalism at Solano State Prison\, in Vacaville\, California; and edited The San Quentin News\, an award winning newspaper produced by incarcerated journalists at San Quentin State Prison. \nColleen Macklin is a game designer and an Associate Professor in the school of Art\, Media and Technology at Parsons School of Design. She’s interested in how games model and reveal ideologies through systems. At Parsons\, she is the founder and co-director of PETLab\, a design research lab that develops games for experimental learning and social engagement. PETLab projects include disaster preparedness games and sports with the Red Cross\, the urban activist game Re:Activism and the physical/fiscal sport Budgetball. She is a member of the game design collective Local No. 12\, known for the videogame Dear Reader and the social card game\, The Metagame. She has co-authored (with John Sharp)\, Games\, Design and Play: A detailed look at iterative game design (Addison Wesley Professional\, 2016) and Iterate: Ten Lessons in Design and Failure (MIT Press\, 2019). Colleen has a BFA in Media Arts from Pratt Institute\, and an MA in International Affairs from The New School. \nClarence Okoh is a civil rights attorney and racial justice advocate whose work addresses the impact of mass criminalization and economic divestment in Black communities\, with a particular focus on Black youth and young adults. Clarence is Senior Policy Counsel at the Center for Law and Social Policy (CLASP)\, where he leads the organization’s cross-team policy agenda to advance youth-led\, anti-carceral approaches to community safety by challenging systems that surveil and punish Black\, brown and Indigenous youth in low-income communities. He is also an inaugural member of the Just Tech Fellows at the Social Science Research Council. In this capacity Clarence leads a project designed to better understand and challenge the use of emerging technologies to criminalize Black and brown youth and systematically violate their civil and human rights. \nDr. Kameelah Phillips is a board certified Obstetrician and Gynecologist\, wife\, mother\, and lifelong women’s health advocate. She is an educator\, mentor\, and expert in women’s health issues and has been involved in local\, national\, and international organizations aimed at advancing women’s health care issues through advocacy and direct patient care. \nAfsaneh Rigot is a scholar and researcher covering issues of law\, technology\, LGBTQ\, refugee\, and human rights. Her work and her research pose questions about the effects of technology in contexts for which it was not designed\, and the effects of western-centrism on vulnerable and hard-to-reach communities. She also looks\, in theory and practice\, at how to constructively engage with power-holding corporations. She is a senior researcher at ARTICLE 19 focusing on MENA LGBTQ and Tech issues\, an Affiliate at the Berkman Klein Center for Internet and Society\, Advisor to the Cyberlaw Clinic at Harvard University\, and a  Technology and Public Purpose Fellow at Harvard Kennedy School’s  Belfer Center for Science and International Affairs. She is the founder of the Design From the Margins tech design methodology. \nSylvia Ryerson is a PhD Candidate in American Studies at Yale University\, with a Master’s concentration in the public humanities. Prior to graduate school she worked as an independent radio producer\, and at the Appalshop media arts and education center in Whitesburg\, Kentucky. There she served as a reporter and the director of public affairs programming\, and co-directed Appalshop/WMMT-FM’s Hip Hop from the Hilltop & Calls from Home radio show\, a nationally recognized weekly radio program broadcasting music and toll-free phone messages from family members to their loved ones who are incarcerated\, and Making Connections News\, a multimedia community storytelling project documenting efforts for a just transition from coal extraction. Her research questions build from this work\, and are rooted at the intersection of scholarship\, activism\, and art. \nRuna Sandvik is the founder of Granitt\, a company focused on security for journalists and other at-risk people. Her work builds upon experience from her time at The New York Times\, Freedom of the Press Foundation\, and The Tor Project. Originally from Oslo\, she now lives in New York. \nAnna Louie Sussman is a journalist who writes on gender\, economics\, and reproduction. She is working on her first book\, about the relationship between capitalism and reproduction\, for Dey Street Books. \nTech Learning Collective is an apprenticeship-based technology school for radical organizers founded in New York City that provides a security-first IT infrastructure curriculum to otherwise underserved communities and organizations advancing social justice causes. We train politically self-motivated individuals in the arts of hypermedia\, Information Technology\, and radical political practice. Founded and operated exclusively by radical queer and femme technologists\, we offer unparalleled free\, by-donation\, and low-cost computer classes on topics ranging from fundamental computer literacy to the same offensive computer hacking techniques used by national intelligence agencies and military powers (cyber armies).\n 
URL:https://brown.stanford.edu/event/computing-and/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Panels & Seminars
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/04/computing-and.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230504T120000
DTEND;TZID=America/New_York:20230504T133000
DTSTAMP:20260403T151219
CREATED:20230228T140052Z
LAST-MODIFIED:20230228T150603Z
UID:8279-1683201600-1683207000@brown.stanford.edu
SUMMARY:Lectures in Data Visualization: Gurman Bhatia
DESCRIPTION:The Brown Institute at Columbia Journalism School\, in partnership with the Data Science Institute and the Department of Computer Science\, is excited to present a lecture series that delves into the art and science of data visualization. This dynamic interdisciplinary series will explore the ways in which technology is transforming how we encounter\, comprehend\, and create data-driven narratives. The series will take place every other Thursday over the lunch hour from March to May\, and will feature esteemed experts in these fields. Over the course of a few months\, we will explore the profound impact that the tools and techniques utilized in data visualization have on the stories we can tell. \nThe series will include five lectures\, led by renowned experts including Cindy Xiong\, Dom Moritz\, Arvind Satyanarayan\, Jen Christiansen\, and Gurman Bhatia. The topics to be covered in the series are diverse and thought-provoking\, encompassing the role of ML in data visualization\, the design process for best representing the stories behind the data\, the future of interactive visualization\, and the very role tools play in our approaches to graphics. Whether you’re a data scientist\, a journalist\, a technologist\, a storyteller\, or a combination thereof\, this series will explore a practice that spans all disciplines. Join us as we hear from these experts and engage in interactive discussions exploring the latest advancements in data visualization and technology. \nRegister to Attend \nJoin us for a lecture followed by a small reception\, all held in the Brown Institute for Media Innovation on the entry floor of Pulitzer Hall (Journalism School). Registration required. \nAbout the Speaker\nGurman Bhatia is an independent information designer\, developer and award-winning data journalist based in New Delhi\, India. For the past seven years\, Bhatia has been using data\, visuals and code to craft narratives at local\, national\, international news outlets and non-profit organisations. She is extremely passionate about data communication and journalism – things she often discusses on Twitter. \nBhatia has spent six years in newsrooms such as Reuters in Singapore\, the Hindustan Times in Delhi\, and the Palm Beach Post and Milwaukee Journal Sentinel in the United States before going independent in 2021. Since then\, she has trained over 750 people in data journalism and/or visualisation and helped several non-profit organisations communicate their data-driven research better.\nA self-taught coder and designer\, I hold a Masters in Journalism from Columbia University\, New York. My work has won several awards internationally\, including the Online News Association Awards\, Malofiej Infographic Summit Awards\, The Webby Awards and GEN Data Journalism Awards.
URL:https://brown.stanford.edu/event/lectures-in-dataviz-gbhatia/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Lectures in Data Visualization
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2023/02/Artboard-1-copy-10-100.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T080000
DTEND;TZID=America/New_York:20230906T090000
DTSTAMP:20260403T151219
CREATED:20230831T193552Z
LAST-MODIFIED:20230831T193552Z
UID:8459-1693987200-1693990800@brown.stanford.edu
SUMMARY:Brown Institute Welcome Session
DESCRIPTION:The Brown Institute serves as a digital hub at the school\, researching and building the future of journalism. Join us in the Brown Institute to meet with our researchers and staff\, and learn more about the various opportunities and offerings afforded to students during their time at the Journalism School as well as upon graduation. \nBagels and coffee will be provided!
URL:https://brown.stanford.edu/event/brown-institute-welcome-session/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Receptions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230906T160000
DTEND;TZID=America/New_York:20230906T170000
DTSTAMP:20260403T151219
CREATED:20230831T193632Z
LAST-MODIFIED:20230831T193632Z
UID:8461-1694016000-1694019600@brown.stanford.edu
SUMMARY:Brown Institute Welcome Session
DESCRIPTION:The Brown Institute serves as a digital hub at the school\, researching and building the future of journalism. Join us in the Brown Institute to meet with our researchers and staff\, and learn more about the various opportunities and offerings afforded to students during their time at the Journalism School as well as upon graduation. \nNibbles and Refreshments will be provided!
URL:https://brown.stanford.edu/event/brown-institute-welcome-session-2/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Receptions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230913T180000
DTEND;TZID=America/New_York:20230913T210000
DTSTAMP:20260403T151219
CREATED:20230908T120250Z
LAST-MODIFIED:20230908T120250Z
UID:8476-1694628000-1694638800@brown.stanford.edu
SUMMARY:Generative AI Dine + Design
DESCRIPTION:In the last year\, new generative AI platforms have made headlines. Large Language Models (LLMs) like ChatGPT\, Bard\, LLaMA and claude have been compared on their abilities to perform\n \n\n\nknowledge and reasoning tasks (answering questions\, solving problems with external tools)\,\nlanguage manipulation (generating summaries\, translating text\, “reversioning” stories)\, and\ncommon data analyses (structuring data\, tagging and clustering data\, writing and fixing code).\n\nUnlike AI applications of the past\, these platforms performed these tasks reasonably well “out of the box\,” without a lot of extra training. This means prototyping a new AI task can be as simple as typing a prompt into ChatGPT. \nDo you have a computing idea you would like to try\, perhaps related to some data you’re looking at? Or some documents or a web site? Do you have an idea to engage audiences around some AI application? What about tools for local newsrooms? \nThe second Wednesday of every month\, join us at the Brown Institute from 6-9pm for a dine-and-design event — open time to explore\, to ask questions\, to socialize with other students and practicing journalists\, all interested in generative AI. A light dinner will be served. \nWe’ll talk about good design approaches\, and about the strengths and weaknesses of these models. What works and what doesn’t? How do we make sure the platform is performing as we expect? What are the ethical concerns? \nThe first event is next Wednesday evening\, September 13 from 6-9pm in the Brown Institute space on the ground floor of Pulitzer Hall. A light dinner will be served and perhaps a 10-minute presentation will kick off the evening with an inspiring example. \nStudents with all technical backgrounds are welcome. Come\, build!
URL:https://brown.stanford.edu/event/generative-ai-dine-design/
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/2023/09/dine.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230920T080000
DTEND;TZID=America/New_York:20230920T100000
DTSTAMP:20260403T151219
CREATED:20230821T200039Z
LAST-MODIFIED:20230905T151829Z
UID:8434-1695196800-1695204000@brown.stanford.edu
SUMMARY:Points Unknown - QGIS 01
DESCRIPTION:Points Unknown\, a workshop series designed for journalism students\, is an eight-week series to introduce students to spatial investigative and visualization techniques. News unfolds in places and every newsworthy event is shaped by the details of location. Those details might include the specifics of a neighborhood as it is today or of the history leading to its current configurations. Alongside the development of web technologies\, journalistic organizations have incorporated web-based maps to enhance reader engagement with stories. But these interactions haven’t always been easy to produce. Points Unknown will train journalism students in GIS and mapping techniques to analyze and visualize spatial information. \nThe workshop will take place every Wednesday morning from 8-10am\, and it’s organized into two main parts. The first four weeks will be dedicated to GIS education using QGIS\, a point-and-click interface that provides a foundational understanding of spatial data analysis and its correlation with news events. No experience is necessary to participate in this program. This hands-on workshop will allow participants to recognize and visualize geographical patterns that often play a vital role in news reporting. The following four weeks will shift focus towards more reproducible mapping techniques\, taught exclusively in Python\, where participants will delve into scripting and automation to conduct spatial analysis and visualization. \nBagels will be served for those able to get out of bed in time\, and attendees are invited to bring their beverage of choice. Hosted at the Brown Institute in Pulitzer Hall\, this recurring workshop series offers not only a theoretical understanding but also practical skills that will elevate the participants’ approach to journalism. \nRegister at https://brwn.co/map-registration \nFor more information\, write mkrisch@columbia.edu.
URL:https://brown.stanford.edu/event/points-unknown-2023/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Points Unknown
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/08/pointsunknown-updated.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230927T080000
DTEND;TZID=America/New_York:20230927T100000
DTSTAMP:20260403T151219
CREATED:20230821T200230Z
LAST-MODIFIED:20230905T151846Z
UID:8440-1695801600-1695808800@brown.stanford.edu
SUMMARY:Points Unknown - QGIS 02
DESCRIPTION:Points Unknown\, a workshop series designed for journalism students\, is an eight-week series to introduce students to spatial investigative and visualization techniques. News unfolds in places and every newsworthy event is shaped by the details of location. Those details might include the specifics of a neighborhood as it is today or of the history leading to its current configurations. Alongside the development of web technologies\, journalistic organizations have incorporated web-based maps to enhance reader engagement with stories. But these interactions haven’t always been easy to produce. Points Unknown will train journalism students in GIS and mapping techniques to analyze and visualize spatial information. \nThe workshop will take place every Wednesday morning from 8-10am\, and it’s organized into two main parts. The first four weeks will be dedicated to GIS education using QGIS\, a point-and-click interface that provides a foundational understanding of spatial data analysis and its correlation with news events. No experience is necessary to participate in this program. This hands-on workshop will allow participants to recognize and visualize geographical patterns that often play a vital role in news reporting. The following four weeks will shift focus towards more reproducible mapping techniques\, taught exclusively in Python\, where participants will delve into scripting and automation to conduct spatial analysis and visualization. \nBagels will be served for those able to get out of bed in time\, and attendees are invited to bring their beverage of choice. Hosted at the Brown Institute in Pulitzer Hall\, this recurring workshop series offers not only a theoretical understanding but also practical skills that will elevate the participants’ approach to journalism. \nRegister at https://brwn.co/map-registration \nFor more information\, write mkrisch@columbia.edu.
URL:https://brown.stanford.edu/event/points-unknown-qgis-02/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Points Unknown
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/08/pointsunknown-updated.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230929T120000
DTEND;TZID=America/New_York:20230929T133000
DTSTAMP:20260403T151219
CREATED:20230828T182242Z
LAST-MODIFIED:20230922T141803Z
UID:8455-1695988800-1695994200@brown.stanford.edu
SUMMARY:Using FOIA
DESCRIPTION:A Talk and demo of MuckRock\, a website empowering citizens and journalists to write\, file and track public records requests online\, and its new FOIA Logs tool \nLed by Derek Kravitz\, MuckRock \nREGISTER TO ATTEND \nThis talk and demonstration is an invitation to play\, experiment with\, and learn about MuckRock\, an open-source web transparency platform that assists citizens in preparing\, filing\, and tracking public record requests to government agencies. The site enables users to access government documents and data covered by the Freedom of Information Act (FOIA) and state open-records laws\, ensuring that citizens can acquire information vital to the functioning of their government. As part of the training\, participants will be given a tour of a new service launching from MuckRock called FOIA Logs\, which allows users to lookup\, review\, and download previous FOIA requests placed to various departments and agencies across the government. Learn about the interface\, discover how the site integrates NLP and Machine Learning principles\, and understand how the tools might impact your workflow as a journalist and storyteller. \nLeading the session is Derek Kravitz\, MuckRock’s investigations and data editor. With an illustrious career that includes roles as research director at ProPublica\, and stints at The Wall Street Journal\, The Associated Press\, and The Washington Post\, Kravitz brings a wealth of experience. He has been recognized multiple times for his contributions to journalism\, being a two-time Livingston Award finalist\, participating in three Pulitzer Prize finalist teams\, and having projects he edited or reported on receive numerous accolades. Derek’s endeavors also extend to grant-funded initiatives through Columbia and Stanford’s Brown Institute for Media Innovation\, as well as the founding of the Documenting COVID-19 project and the MISSING THEM project at THE CITY.
URL:https://brown.stanford.edu/event/using-foia/
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/2023/09/‎using-foia-poster.‎001.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231004T080000
DTEND;TZID=America/New_York:20231004T100000
DTSTAMP:20260403T151219
CREATED:20230821T200356Z
LAST-MODIFIED:20230905T151911Z
UID:8442-1696406400-1696413600@brown.stanford.edu
SUMMARY:Points Unknown - QGIS 03
DESCRIPTION:Points Unknown\, a workshop series designed for journalism students\, is an eight-week series to introduce students to spatial investigative and visualization techniques. News unfolds in places and every newsworthy event is shaped by the details of location. Those details might include the specifics of a neighborhood as it is today or of the history leading to its current configurations. Alongside the development of web technologies\, journalistic organizations have incorporated web-based maps to enhance reader engagement with stories. But these interactions haven’t always been easy to produce. Points Unknown will train journalism students in GIS and mapping techniques to analyze and visualize spatial information. \nThe workshop will take place every Wednesday morning from 8-10am\, and it’s organized into two main parts. The first four weeks will be dedicated to GIS education using QGIS\, a point-and-click interface that provides a foundational understanding of spatial data analysis and its correlation with news events. No experience is necessary to participate in this program. This hands-on workshop will allow participants to recognize and visualize geographical patterns that often play a vital role in news reporting. The following four weeks will shift focus towards more reproducible mapping techniques\, taught exclusively in Python\, where participants will delve into scripting and automation to conduct spatial analysis and visualization. \nBagels will be served for those able to get out of bed in time\, and attendees are invited to bring their beverage of choice. Hosted at the Brown Institute in Pulitzer Hall\, this recurring workshop series offers not only a theoretical understanding but also practical skills that will elevate the participants’ approach to journalism. \nRegister at https://brwn.co/map-registration \nFor more information\, write mkrisch@columbia.edu.
URL:https://brown.stanford.edu/event/points-unknown-qgis-03/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Points Unknown
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/08/pointsunknown-updated.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231011T080000
DTEND;TZID=America/New_York:20231011T100000
DTSTAMP:20260403T151219
CREATED:20230821T200600Z
LAST-MODIFIED:20230905T151928Z
UID:8444-1697011200-1697018400@brown.stanford.edu
SUMMARY:Points Unknown - QGIS 04
DESCRIPTION:Points Unknown\, a workshop series designed for journalism students\, is an eight-week series to introduce students to spatial investigative and visualization techniques. News unfolds in places and every newsworthy event is shaped by the details of location. Those details might include the specifics of a neighborhood as it is today or of the history leading to its current configurations. Alongside the development of web technologies\, journalistic organizations have incorporated web-based maps to enhance reader engagement with stories. But these interactions haven’t always been easy to produce. Points Unknown will train journalism students in GIS and mapping techniques to analyze and visualize spatial information. \nThe workshop will take place every Wednesday morning from 8-10am\, and it’s organized into two main parts. The first four weeks will be dedicated to GIS education using QGIS\, a point-and-click interface that provides a foundational understanding of spatial data analysis and its correlation with news events. No experience is necessary to participate in this program. This hands-on workshop will allow participants to recognize and visualize geographical patterns that often play a vital role in news reporting. The following four weeks will shift focus towards more reproducible mapping techniques\, taught exclusively in Python\, where participants will delve into scripting and automation to conduct spatial analysis and visualization. \nBagels will be served for those able to get out of bed in time\, and attendees are invited to bring their beverage of choice. Hosted at the Brown Institute in Pulitzer Hall\, this recurring workshop series offers not only a theoretical understanding but also practical skills that will elevate the participants’ approach to journalism. \nRegister at https://brwn.co/map-registration \nFor more information\, write mkrisch@columbia.edu.
URL:https://brown.stanford.edu/event/points-unknown-qgis-04/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Points Unknown
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/08/pointsunknown-updated.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231011T180000
DTEND;TZID=America/New_York:20231011T210000
DTSTAMP:20260403T151219
CREATED:20230908T120348Z
LAST-MODIFIED:20231009T142641Z
UID:8479-1697047200-1697058000@brown.stanford.edu
SUMMARY:Generative AI Dine + Design
DESCRIPTION:In the last year\, new generative AI platforms have made headlines. Large Language Models (LLMs) like ChatGPT\, Bard\, LLaMA and claude have been compared on their abilities to perform\n \n\n\nknowledge and reasoning tasks (answering questions\, solving problems with external tools)\,\nlanguage manipulation (generating summaries\, translating text\, “reversioning” stories)\, and\ncommon data analyses (structuring data\, tagging and clustering data\, writing and fixing code).\n\nUnlike AI applications of the past\, these platforms performed these tasks reasonably well “out of the box\,” without a lot of extra training. This means prototyping a new AI task can be as simple as typing a prompt into ChatGPT. \nDo you have a computing idea you would like to try\, perhaps related to some data you’re looking at? Or some documents or a web site? Do you have an idea to engage audiences around some AI application? What about tools for local newsrooms? \nThe second Wednesday of every month\, join us at the Brown Institute from 6-9pm for a dine-and-design event — open time to explore\, to ask questions\, to socialize with other students and practicing journalists\, all interested in generative AI. A light dinner will be served. \nWe’ll talk about good design approaches\, and about the strengths and weaknesses of these models. What works and what doesn’t? How do we make sure the platform is performing as we expect? What are the ethical concerns? \nA light dinner will be served and perhaps a 10-minute presentation will kick off the evening with an inspiring example. \nStudents with all technical backgrounds are welcome. Come\, build!
URL:https://brown.stanford.edu/event/generative-ai-dine-design-2/
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/2023/09/zelda.019.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231104T100000
DTEND;TZID=America/New_York:20231104T160000
DTSTAMP:20260403T151219
CREATED:20231012T153037Z
LAST-MODIFIED:20231021T215841Z
UID:8689-1699092000-1699113600@brown.stanford.edu
SUMMARY:Data Visualization Workshop with The Pudding
DESCRIPTION:Graphical (or pictorial) 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\, Washington Post\, and Reuters are 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 co-sponsored by the Brown Institute and Barnard Vagelos Computational Science Center\, members of The Pudding will immerse participants in their tried-and-true design process\, segmented into four stages: story\, data\, design\, and development. The session 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 12pm on Wednesday\, October 25. Notices will be sent out on Friday\, October 27. \n\nAbout the Presenters \nCaitlyn Ralph is the Studio Director at The Pudding’s in-house data journalism agency called Polygraph\, where we do the same type of visual storytelling work with the same team for different 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 working days explaining this practice as clearly as possible to clients with varying backgrounds\, managing projects and the team\, and crafting future strategy for both Polygraph and its sister publication The Pudding. 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/data-visualization-workshop-with-the-pudding/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2023/10/pudding-poster.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231108T180000
DTEND;TZID=America/New_York:20231108T210000
DTSTAMP:20260403T151219
CREATED:20230908T120436Z
LAST-MODIFIED:20231104T154250Z
UID:8481-1699466400-1699477200@brown.stanford.edu
SUMMARY:Generative AI Dine + Design
DESCRIPTION:In the last year\, new generative AI platforms have made headlines. Large Language Models (LLMs) like ChatGPT\, Bard\, LLaMA and claude have been compared on their abilities to perform\n \n\n\nknowledge and reasoning tasks (answering questions\, solving problems with external tools)\,\nlanguage manipulation (generating summaries\, translating text\, “reversioning” stories)\, and\ncommon data analyses (structuring data\, tagging and clustering data\, writing and fixing code).\n\nUnlike AI applications of the past\, these platforms performed these tasks reasonably well “out of the box\,” without a lot of extra training. This means prototyping a new AI task can be as simple as typing a prompt into ChatGPT. \nDo you have a computing idea you would like to try\, perhaps related to some data you’re looking at? Or some documents or a web site? Do you have an idea to engage audiences around some AI application? What about tools for local newsrooms? \nThe second Wednesday of every month\, join us at the Brown Institute from 6-9pm for a dine-and-design event — open time to explore\, to ask questions\, to socialize with other students and practicing journalists\, all interested in generative AI. A light dinner will be served. \nWe’ll talk about good design approaches\, and about the strengths and weaknesses of these models. What works and what doesn’t? How do we make sure the platform is performing as we expect? What are the ethical concerns? \nA light dinner will be served and perhaps a 10-minute presentation will kick off the evening with an inspiring example. \nStudents with all technical backgrounds are welcome. Come\, build!
URL:https://brown.stanford.edu/event/generative-ai-dine-design-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/2023/09/zelda.021-3.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T183000
DTEND;TZID=America/New_York:20231109T200000
DTSTAMP:20260403T151219
CREATED:20231027T142419Z
LAST-MODIFIED:20231101T173006Z
UID:8728-1699554600-1699560000@brown.stanford.edu
SUMMARY:Rethinking Crime Reporting
DESCRIPTION:The crime beat has long been leveraged by American newsrooms to drive traffic\, generate revenue\, and fulfill the duty of informing the public. While the familiar narrative of perpetrators committing crimes consistently captures the public’s attention\, these stories rarely produce the safer communities promised by being better-informed citizens\, especially for the individuals and communities historically narrativized as criminals. \nBut some journalists are reframing their focus on policing to tell stories about public safety. And in turn\, they’re undertaking the big task of rethinking the journalist’s role in shaping public perceptions of safety and the stories we tell about crime. \nJoin the Brown Institute for a discussion that rethinks what crime coverage can look like and how journalists can better create work that gives the public what it needs to know. \nFeatured Speakers\nKelly McBride\, Poynter\nMatt Stroud\, Better Government Association\nChenjerai Kumanyika\, UnCivil Podcast\nModerated by Todd Whitney\, Brown Institute\n \nRegister to Attend \nDrinks and snacks will be provided following the discussion
URL:https://brown.stanford.edu/event/rethinking-crime-reporting/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Panels & Seminars
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2023/10/rethinking-crime.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231111
DTEND;VALUE=DATE:20231113
DTSTAMP:20260403T151219
CREATED:20231103T051613Z
LAST-MODIFIED:20231103T051613Z
UID:8737-1699660800-1699833599@brown.stanford.edu
SUMMARY:News Products and Entrepreneurship Weekend!
DESCRIPTION:Register to attend! \nJoin the Brown Institute for a unique opportunity to learn about the latest trends in news product development! Our weekend-long event\, taking place November 11 and 12\, is led by industry leaders Dalit Shalom\, Lead Product Designer at the New York Times\, and Justin Hendrix\, CEO and Editor of Tech Policy Press. \nBackground\n\nThe Brown Institute’s mission is to push the boundaries of storytelling\, and this event is a perfect opportunity to do just that. By participating\, you’ll work in teams to develop ideas that can be proposed to both the  Magic Grant program and the Brown Institute Venture Competition\, two funding opportunities offered by the institute. The Magic Grant program awards teams between $10k – $150k to pursue project work for up to a year. The Venture Competition has cash prizes and a paid fellowship to attend Brown’s Summer Entrepreneurship Program.\n\nApply now and be part of a unique learning experience!\nSaturday: News Products\, led by Dalit Shalom\, Lead Product Designer at the New York Times \nThis news product sprint is open to journalism\, data science\, and computer science students\, and will provide hands-on training in the creation of innovative news products. Through interactive lectures and lab sessions\, you will learn about the key concepts and practices of product development\, design\, engineering\, and business. You will work in teams to iterate\, prototype\, and pitch products that engage and retain audiences and tell stories in new ways! \nSunday: Venture Clinic\, led by Justin Hendrix\, CEO and Editor of Tech Policy Press \nAre you considering a new journalism or media venture? How do you go from an idea about a service\, technical solution\, or other product concept to evaluating its potential to be sustainable as a business? What quick tests can you run to identify and interrogate your core assumptions? This session will offer a mix of instruction and exercises for those thinking about how to build a new venture\, with special consideration given to the complexities and challenges of doing so with projects related to journalism and media in today’s market environment.\n\nPresenter Bios\n\nDalit Shalom. Dalit’s work lives at the heart of editorial\, research\, ideation and prototyping\, and she believes in design as a vehicle for helping people understand and navigate complexities. In her current role\, she leads teams that focus on Community\, AI\, and Trust and Credibility\, interfacing with multiple desks and teams across the newsroom and working closely with the Masthead to define key moments to help clarify The Times’ journalism to readers. Previously\, Dalit’s work included consulting and bringing projects to life for NASA\, This American Life and The New York Public Library\, to name a few. She holds a BDes from Bezalel Academy of Art and Design in Jerusalem\, and a Master’s degree from the Interactive Telecommunications Program (ITP) at NYU. Dalit teaches design thinking classes at NYU and at the Columbia School of Journalism.\n\nJustin Hendrix. Justin Hendrix is CEO and Editor of Tech Policy Press\, a new nonprofit media venture concerned with the intersection of technology and democracy. Previously\, he was Executive Director of NYC Media Lab. He spent over a decade at The Economist in roles including Vice President\, Business Development & Innovation.
URL:https://brown.stanford.edu/event/news-products-and-entrepreneurship-weekend/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231213T180000
DTEND;TZID=America/New_York:20231213T210000
DTSTAMP:20260403T151219
CREATED:20230908T120530Z
LAST-MODIFIED:20231207T190858Z
UID:8483-1702490400-1702501200@brown.stanford.edu
SUMMARY:Generative AI Dine + Design
DESCRIPTION:In the last year\, new generative AI platforms have made headlines. Large Language Models (LLMs) like ChatGPT\, Bard\, LLaMA and claude have been compared on their abilities to perform\n \n\n\nknowledge and reasoning tasks (answering questions\, solving problems with external tools)\,\nlanguage manipulation (generating summaries\, translating text\, “reversioning” stories)\, and\ncommon data analyses (structuring data\, tagging and clustering data\, writing and fixing code).\n\nUnlike AI applications of the past\, these platforms performed these tasks reasonably well “out of the box\,” without a lot of extra training. This means prototyping a new AI task can be as simple as typing a prompt into ChatGPT. \nDo you have a computing idea you would like to try\, perhaps related to some data you’re looking at? Or some documents or a web site? Do you have an idea to engage audiences around some AI application? What about tools for local newsrooms? \nThe second Wednesday of every month\, join us at the Brown Institute from 6-9pm for a dine-and-design event — open time to explore\, to ask questions\, to socialize with other students and practicing journalists\, all interested in generative AI. A light dinner will be served. \nWe’ll talk about good design approaches\, and about the strengths and weaknesses of these models. What works and what doesn’t? How do we make sure the platform is performing as we expect? What are the ethical concerns? \nA light dinner will be served and perhaps a 10-minute presentation will kick off the evening with an inspiring example. \nStudents with all technical backgrounds are welcome. Come\, build!
URL:https://brown.stanford.edu/event/generative-ai-dine-design-4/
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/2023/09/zelda.022.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240123T170000
DTEND;TZID=America/New_York:20240123T180000
DTSTAMP:20260403T151219
CREATED:20240119T160934Z
LAST-MODIFIED:20240123T152445Z
UID:8773-1706029200-1706032800@brown.stanford.edu
SUMMARY:Venture Challenge Information Session
DESCRIPTION:The 2024 Startup Columbia Venture Challenge is open for submissions! For the past three years\, Brown has sponsored a “Media Track” for this competition. This is designed for students\, recent alumni and faculty who are interested in starting a new venture. These might be for-profit or non-profit and should involve journalism\, media and technology in some way. \nJoin us for an information session on Tuesday\, January 23 to learn more about this opportunity! Submissions for the venture challenge are due February 9\, 2024.\n \nYou can also join this information session virtually on Zoom. \nMaybe you have an idea about how AI can help reporters in small newsrooms\nMaybe you’re interested in encouraging new forms of collaboration between reporters\nMaybe you want to make working with data on your beat easier\nMaybe tools for the verification of images is important\nMaybe you’re imagining a single-subject news site\, or maybe it’s a tool or platform\, or maybe is a consultancy \nThe Media Track of Startup Columbia consists of two rounds of “pitch sessions” in which you prepare a short presentation about your idea and deliver it to a group of judges. After your first interaction\, you refine your pitch (maybe sharpen your idea) and have the chance to present for a second round. After that\, in mid-March\, we name three winners who receive cash prizes. The winners also receive scholarships for the Brown Institute’s 2024 Summer Entrepreneurship Program where they really work through their ideas. At the end of the summer we will have one final competition for the three challenge winners\, this one possibly ending in a grant for up to $100k! \nAh but you will not go it alone. We have four Entrepreneurs in Residence who can help you refine your idea. And the Brown Institute staff is always around to lend a hand! Good luck!
URL:https://brown.stanford.edu/event/venture-challenge-information-session/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240124T170000
DTEND;TZID=America/New_York:20240124T180000
DTSTAMP:20260403T151219
CREATED:20240119T161809Z
LAST-MODIFIED:20240119T161809Z
UID:8777-1706115600-1706119200@brown.stanford.edu
SUMMARY:Exploring AI Threats to Electoral Integrity
DESCRIPTION:2024 will be a landmark election year in at least two ways. First\, more than a quarter of the countries in the world\, representing a third of global population\, and comprising several of the largest democracies\, including Indonesia\, India\, and the United States\, will cast ballots. Second\, this will be the first large election cycle since the release of a new suite of advanced AI tools and systems that enable the generation of text\, images\, sound and video\, and will potentially change the landscape of political communication and behavior in profound ways\, including through so-called hallucinations\, deep fakes and voice cloning. In the face of these challenges\, we have deep information asymmetries and a critical need for transparent broad-scale testing of AI in real-world scenarios. This panel will explore known and unknown threats to election integrity and introduce a new initiative\, the AI Democracy Projects\, that aims to publicly benchmark the performance of AI chatbots that are becoming a popular source of public information. \nJoin AI Democracy Projects founders–award-winning investigative journalist Julia Angwin and Alondra Nelson\, professor at the Institute for Advanced Study\, who led the development of the White House Blueprint for an AI Bill of Rights\, and the Honorable Francisco V. Aguilar\, Nevada Secretary of State\, for a conversation with SIPA Lecturer Camille François about the potential risks and benefits to the US election ecosystem presented by AI\, and how policymakers\, AI experts\, and journalists can begin to test AI tools for electoral-information integrity in a way that provides education\, information\, and accountability to the public. \nThis event is cosponsored by the Institute of Global Politics (IGP) at Columbia SIPA and the Brown Institute for Media Innovation at Columbia Journalism School \nAbout the Institute of Global Politics (IGP) at Columbia SIPA \nThe Institute of Global Politics (IGP) convenes leading scholars and practitioners to advance policy solutions to today’s pressing global challenges. IGP brings together experts—from the public and private sectors and across the political spectrum—to foster civil discourse and create evidence-based policy strategies for local to global impact. \nAbout the Brown Institute for Media Innovation at Columbia Journalism School \nEstablished in 2012\, the David and Helen Gurley Brown Institute is a collaboration between Columbia and Stanford Universities\, designed to encourage and support new endeavors in media innovation. Our partnership operates as an academic venture forum focusing on three distinct areas: granting\, offering over $1M in grants each year to support innovative media projects by students\, faculty\, and alums; research and teaching\, providing technical instruction to students and to the community; and research and development\, where our Local News Lab develops AI-powered tools to assist local newsrooms. \nSpeakers: \n\nJulia Angwin\, award-winning investigative journalist; founder of Proof News; best-selling author; contributing writer\, New York Times Opinion; and Fellow at the Shorenstein Center on Media\, Politics and Public Policy\, Harvard Kennedy School.\nAlondra Nelson\, Harold F. Linder Professor\, Institute for Advanced Study; Distinguished Fellow\, Center for American Progress; former Deputy Assistant to President Joe Biden and Acting Director of the White House Office of Science and Technology Policy\nFrancisco “Cisco” V. Aguilar\, Nevada Secretary of State; former General Counsel for Agassi Graf and the Andre Agassi Foundation for Education; former Special Counsel to the Chancellor of the Nevada System of Higher Education.\n\nModerator:  \nCamille François\, IGP Affiliated Faculty \n_____ \nPlease note: \nCheck-in begins 30 minutes before the event and early arrival is strongly recommended\, as this registration does not guarantee a seat. IDs and CUIDs will be checked at registration. We will release seats to the waitlist at the start of the event. \nRecording and photography: \nThis event will be photographed and filmed. By being present\, you consent to Columbia University using such photographs and video for educational and promotional purposes. \nGuests with disabilities: \nColumbia University makes every effort to accommodate individuals with disabilities. Guests with disabilities can request assistance from the Office of Disability Services at (212) 854-2388 or disability@columbia.edu.
URL:https://brown.stanford.edu/event/exploring-ai-threats-to-electoral-integrity/
LOCATION:Livestream and SIPA
CATEGORIES:Panels & Seminars
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2024/01/Exploring-AI-Threats-to-Electoral-Integrity-1.24.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240130T123000
DTEND;TZID=America/New_York:20240130T140000
DTSTAMP:20260403T151219
CREATED:20240119T162140Z
LAST-MODIFIED:20240119T162241Z
UID:8782-1706617800-1706623200@brown.stanford.edu
SUMMARY:Queer Data: Who Counts?
DESCRIPTION:Kevin Guyan will join CJS for a talk on “Queer Data”. Guyan\, soon to be a Fellow at the University of Edinburgh\, has written extensively on data collection and LGBTQ communities. The first step in so many reporting projects is a data set\, and even our own US Census Bureau has proposed asking questions about Sexual Orientation and Gender Identity on the American Community Survey. What is different about Queer Data? How has it been collected and why? What has been the impact on Queer communities? \nKevin Guyan will touch on these and other questions in his lunchtime talk “Queer Data: Who Counts?”. This is the first speaker in the Computational Journalism Class taught this spring by Mark Hansen and Gina Chua. (We will occasionally open our talks to the whole school.) The Office of the CJS Director of Diversity\, Equity\, and Inclusion is co-sponsoring this event. \nLunch will be served\, but please register for the talk so we know how much to order. \nQueer Data: Who Counts? \n[Register here to reserve a lunch] \nBlurb: Data has never mattered more. Our lives are increasingly shaped by it and how it is defined\, collected and used. But who counts in the collection\, analysis and application of data? Join Kevin Guyan to discuss themes from his book Queer Data: Using Gender\, Sex and Sexuality Data for Action (Bloomsbury Academic) including the relationship between data and visibility\, the politics of who and how to count\, and the intersection of queer lives and everyday data practices and systems. \nBio: Dr Kevin Guyan is a researcher whose work explores the intersection of data and identity. He is the author of Queer Data (Bloomsbury Academic\, 2022) and is currently writing his second book\, which explores queer encounters with different classification systems in the UK\, from hate crime reporting to dating apps. In March 2024\, Kevin joins the University of Edinburgh Business School as a Chancellor’s Fellow.
URL:https://brown.stanford.edu/event/queer-data-who-counts/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Panels & Seminars
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2024/01/https-__cdn.evbuc_.com_images_676419119_220279437400_1_original.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240131T080000
DTEND;TZID=America/New_York:20240131T090000
DTSTAMP:20260403T151219
CREATED:20240119T163734Z
LAST-MODIFIED:20240130T152150Z
UID:8786-1706688000-1706691600@brown.stanford.edu
SUMMARY:Venture Challenge Information Session
DESCRIPTION:The 2024 Startup Columbia Venture Challenge is open for submissions! For the past three years\, Brown has sponsored a “Media Track” for this competition. This is designed for students\, recent alumni and faculty who are interested in starting a new venture. These might be for-profit or non-profit and should involve journalism\, media and technology in some way. \nJoin us for an information session on Wednesday\, January 31 to learn more about this opportunity! Breakfast will be served!\n \nThe session will also be broadcast on Zoom (https://us02web.zoom.us/j/85884818713?pwd=VWd1azc0VVdWV3VWQ3JtR1hkb3ZNUT09) \nMaybe you have an idea about how AI can help reporters in small newsrooms\nMaybe you’re interested in encouraging new forms of collaboration between reporters\nMaybe you want to make working with data on your beat easier\nMaybe tools for the verification of images is important\nMaybe you’re imagining a single-subject news site\, or maybe it’s a tool or platform\, or maybe is a consultancy \nThe Media Track of Startup Columbia consists of two rounds of “pitch sessions” in which you prepare a short presentation about your idea and deliver it to a group of judges. After your first interaction\, you refine your pitch (maybe sharpen your idea) and have the chance to present for a second round. After that\, in mid-March\, we name three winners who receive cash prizes. The winners also receive scholarships for the Brown Institute’s 2024 Summer Entrepreneurship Program where they really work through their ideas. At the end of the summer we will have one final competition for the three challenge winners\, this one possibly ending in a grant for up to $100k! Submissions for the venture challenge are due February 9\, 2024. \nAh but you will not go it alone. We have four Entrepreneurs in Residence who can help you refine your idea. And the Brown Institute staff is always around to lend a hand! Good luck!
URL:https://brown.stanford.edu/event/venture-challenge-information-session-2/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T080000
DTEND;TZID=America/New_York:20240207T090000
DTSTAMP:20260403T151219
CREATED:20240119T165201Z
LAST-MODIFIED:20240215T194548Z
UID:8788-1707292800-1707296400@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 2023-2024 Magic Grant program. Applications are due March 29\, 2024! \nTo provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions on the following dates: \n\nWed\, 2/7 8-9am ET\nMon\, 3/4 5-6pm ET\nMon\, 3/18 5-6pm ET\nWed\, 3/27 8-9am ET\n\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 browninstitute@columbia.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-16/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T180000
DTEND;TZID=America/New_York:20240207T203000
DTSTAMP:20260403T151219
CREATED:20240119T170959Z
LAST-MODIFIED:20240119T170959Z
UID:8797-1707328800-1707337800@brown.stanford.edu
SUMMARY:Human Rights Reporting: A Focus on Journalism and AI
DESCRIPTION:Join us for this special panel which will focus on global reporting on human rights\, as defined by the Universal Declaration of Human Rights\, within the evolving landscape of AI and the challenges and opportunities it presents. \nDelving into the influence of AI in international media and how the technology can be leveraged for human rights reporting\, the panel will address the technology’s computational capacities\, analytic capabilities\, map making\, and case making for reports of human rights abuse and documentation. The event aims to bring together leading experts\, scholars\, practitioners\, and students across the disciplines of journalism\, AI\, and human rights. \nPanelists\nLena Arkawi\nCEO & Founder\nSourceable \nSam Gregory\nExecutive Director\nWitness \nMounir Ibrahim\nExecutive Vice President of Public Affairs and Impact\nTruepic \nModerated by\nAnya Schiffrin\nDirector of Technology\, Media\, and Communications\nColumbia University\nSchool of International and Public Affairs \n  \nPlease join us for this timely exchange\, a joint presentation of the David and Helen Gurley Brown Institute for Media Innovation at the Columbia Journalism School and the United Nations Association of New York\, when our special guests will include: Lena Arkawi\, CEO and Founder of Sourceable\, an online platform and mobile application empowering citizen journalists; Sam Gregory\, Executive Director of the global human rights organization WITNESS; and Mounir Ibrahim\, EVP of Public Affairs and Impact for Truepic\, an award winning technology company specializing in image provenance and authenticity. The panel will be moderated by Anya Schiffrin\, director of Technology\, Media\, and Communications at Columbia University’s School of International and Public Affairs. \nRegister for this event here\n 
URL:https://brown.stanford.edu/event/human-rights-reporting-a-focus-on-journalism-and-ai/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Panels & Seminars
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2024/01/unnamed.jpg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240214T180000
DTEND;TZID=America/New_York:20240214T210000
DTSTAMP:20260403T151219
CREATED:20240116T131335Z
LAST-MODIFIED:20240117T162142Z
UID:8762-1707933600-1707944400@brown.stanford.edu
SUMMARY:Generative AI "Dine and Design"
DESCRIPTION:In the last year\, new generative AI platforms have made headlines. Large Language Models (LLMs) like ChatGPT\, Bard\, LLaMA and claude have been compared on their abilities to perform \n\n\nknowledge and reasoning tasks (answering questions\, solving problems with external tools)\,\nlanguage manipulation (generating summaries\, translating text\, “reversioning” stories)\, and\ncommon data analyses (structuring data\, tagging and clustering data\, writing and fixing code).\n\nUnlike AI applications of the past\, these platforms performed these tasks reasonably well “out of the box\,” without a lot of extra training. This means prototyping a new AI task can be as simple as typing a prompt into ChatGPT. \nDo you have a computing idea you would like to try\, perhaps related to some data you’re looking at? Or some documents or a web site? Do you have an idea to engage audiences around some AI application? What about tools for local newsrooms? \nThe second Wednesday of every month\, join us at the Brown Institute from 6-9pm for a dine-and-design event — open time to explore\, to ask questions\, to socialize with other students and practicing journalists\, all interested in generative AI. A light dinner will be served. \nWe’ll talk about good design approaches\, and about the strengths and weaknesses of these models. What works and what doesn’t? How do we make sure the platform is performing as we expect? What are the ethical concerns? \nA light dinner will be served and perhaps a 10-minute presentation will kick off the evening with an inspiring example. \nStudents with all technical backgrounds are welcome. Come\, build!
URL:https://brown.stanford.edu/event/generative-ai-dine-and-design/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2024/01/zelda.023-1.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T140000
DTEND;TZID=America/New_York:20240222T150000
DTSTAMP:20260403T151219
CREATED:20240216T203415Z
LAST-MODIFIED:20240216T203415Z
UID:8843-1708610400-1708614000@brown.stanford.edu
SUMMARY:Artificial Intelligence and Photography
DESCRIPTION:The Columbia School of the Arts and the Brown Institute are pleased to welcome Ben Cheatham for a talk on AI and images\, focusing on new tools being imagined to support work in creative industries. \nBen Cheatham is VP of Data and AI at Microsoft. He directs multidisciplinary teams of data scientists\, engineers and designers who co-innovate AI solutions alongside Microsoft’s strategic consumers.
URL:https://brown.stanford.edu/event/artificial-intelligence-and-photography/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/jpeg:https://brown.stanford.edu/wp-content/uploads/2024/02/ai-photography.jpeg
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240304T170000
DTEND;TZID=America/New_York:20240304T180000
DTSTAMP:20260403T151219
CREATED:20240119T165251Z
LAST-MODIFIED:20240215T194536Z
UID:8791-1709571600-1709575200@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 2023-2024 Magic Grant program. Applications are due March 29\, 2024! \nTo provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions on the following dates: \n\nWed\, 2/7 8-9am ET\nMon\, 3/4 5-6pm ET\nMon\, 3/18 5-6pm ET\nWed\, 3/27 8-9am ET\n\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 browninstitute@columbia.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-columbia-7/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240318T170000
DTEND;TZID=America/New_York:20240318T180000
DTSTAMP:20260403T151219
CREATED:20240119T165345Z
LAST-MODIFIED:20240318T203437Z
UID:8793-1710781200-1710784800@brown.stanford.edu
SUMMARY:Magic Grant Information Session (Columbia)
DESCRIPTION:Today’s Zoom link: https://columbiauniversity.zoom.us/j/92102189690?pwd=d0RHeUUwbjVOcjNQbFlURldjSEpTdz09 \nThe David and Helen Gurley Brown Institute at Columbia Journalism School and the School of Engineering at Stanford are delighted to announce its 2023-2024 Magic Grant program. Applications are due March 29\, 2024! \nTo provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions on the following dates: \n\nMon\, 3/18 5-6pm ET\nWed\, 3/27 8-9am ET\n\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 browninstitute@columbia.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-columbia-8/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240327T080000
DTEND;TZID=America/New_York:20240327T090000
DTSTAMP:20260403T151219
CREATED:20240119T165418Z
LAST-MODIFIED:20240215T194502Z
UID:8795-1711526400-1711530000@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 2023-2024 Magic Grant program. Applications are due March 29\, 2024! \nTo provide more information about our grants and the application process\, the Brown Institute is hosting Magic Grant Information Sessions on the following dates: \n\nWed\, 2/7 8-9am ET\nMon\, 3/4 5-6pm ET\nMon\, 3/18 5-6pm ET\nWed\, 3/27 8-9am ET\n\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 browninstitute@columbia.edu.
URL:https://brown.stanford.edu/event/magic-grant-information-session-columbia-9/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Info Sessions
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240405
DTEND;VALUE=DATE:20240408
DTSTAMP:20260403T151219
CREATED:20240216T203805Z
LAST-MODIFIED:20240221T134221Z
UID:8841-1712275200-1712534399@brown.stanford.edu
SUMMARY:Open Source AI Hackathon
DESCRIPTION:Catalyzing New Forms of Journalism and Civic Information\nJoin Hacks/Hackers and the Brown Institute for Media Innovation at Columbia University for a weekend of building with open source AI for experiments relating to journalism and civic information\, sponsored by Hugging Face and Codingscape. The latest open source\, large language models are rapidly becoming as capable as closed models\, meaning these powerful technologies can be deployed on private servers with bespoke data fueling new experiences. \n\n​As these models become accessible\, it’s natural to ask how their use might affect our daily lives — how will they shape our relationship with both public and private institutions\, with how we make decisions that affect our families\, our communities\, and our world.\n​In this critical election year in the U.S.\, how might we leverage generative AI to better inform citizens to engage in the democratic process?\n​How might AI help launch new products that create sustainable business models for journalism? Or improve and expand how we conduct investigations?\n​What new personalized experiences are enabled by AI?\n​How might we train models to increase accuracy and trust? And while we’re at it\, design platforms that ensure a human is in the loop?\n​What else can we dream up and prototype that no one has seen before?\n\n​The hackathon will kick off Friday evening\, April 5th\, with a mixer and pitch session for groups to come together\, a day and a half of work Saturday and Sunday\, ending with final pitches to share. \n​Space is limited\, and we encourage anyone interested to apply to attend\, including developers\, journalists\, designers\, and business and strategy experts. We invite people with little-to-no technical background\, as well as those who might be expert in Machine Learning and AI. Meals provided. \nApply to Attend
URL:https://brown.stanford.edu/event/open-source-ai-hackathon/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/png:https://brown.stanford.edu/wp-content/uploads/2024/02/image.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240412T130000
DTEND;TZID=America/New_York:20240412T153000
DTSTAMP:20260403T151219
CREATED:20240223T160025Z
LAST-MODIFIED:20240412T120443Z
UID:8856-1712926800-1712935800@brown.stanford.edu
SUMMARY:Creative Commons Open Licensing Workshop (Postponed until the Fall!)
DESCRIPTION:Curious how open licensing media content can better spread news? Join the Brown Institute for Media Innovation and Creative Commons for a practical workshop on Creative Commons licensing. Creative Commons will provide an initial overview of open licensing\, copyright and what it means for media before leading participants through a fun\, hands-on practical application of CC licenses. Learn more about CC licensing in advance in the Journalist’s Guide to Creative Commons. \nCreative Commons (CC) is a global nonprofit organization that advances open access to culture and knowledge in the public interest. CC built and stewards the open licenses that power millions of people’s unfettered access to culture\, research\, information\, education and more. There are over 2.5 billion CC licenses being used across 9 million websites\, to date. \nLunch provided at the start of the event. \nFollowing the training\, please join us for a panel discussion on AI\, Creativity\, Media\, and Our Shared Commons from 5-6:30\, followed by a light reception.
URL:https://brown.stanford.edu/event/creative-commons-open-licensing-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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240412T170000
DTEND;TZID=America/New_York:20240412T183000
DTSTAMP:20260403T151219
CREATED:20240307T163948Z
LAST-MODIFIED:20240412T120510Z
UID:8880-1712941200-1712946600@brown.stanford.edu
SUMMARY:AI\, Creativity\, Media\, and Our Shared Commons (Postponed until the Fall!)
DESCRIPTION:In just 2023\, new advances in generative AI uprooted our collective understanding of the knowledge and cultural commons we share online. It challenged assumptions of creativity and copyright ownership\, data privacy\, and the spread of information and misinformation. Despite legal and ethical uncertainties\, AI’s impact in our shared commons continues to grow. \nCreative Commons (CC) seeks to advance open access to culture and knowledge in the public interest. CC unites with the Brown Institute for Media Innovation for the next installment in a series of community conversations around AI. Join us for a dynamic panel discussion to debate AI’s implications for creativity\, media and our shared commons in the public interest. Following the panel discussion will be a light reception. \nPanelists to be announced! \nCreative Commons (CC) is a global nonprofit organization that advances open access to culture and knowledge in the public interest. CC built and stewards the open licenses that power millions of people’s unfettered access to culture\, research\, information\, education and more. There are over 2.5 billion CC licenses being used across 9 million websites\, to date.
URL:https://brown.stanford.edu/event/ai-creativity-media-and-our-shared-commons/
LOCATION:Brown Institute at Columbia\, 2950 Broadway\, New York\, NY\, 10027\, United States
CATEGORIES:Panels & Seminars
END:VEVENT
END:VCALENDAR