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
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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 |
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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 |
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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
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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. Delving into the influence of AI in international media and how the technology can be leveraged for human |
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Do 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? The 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. |
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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. Ben Cheatham is VP of Data and AI at Microsoft. He directs multidisciplinary teams of data scientists, engineers and designers |
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