“A picture is worth a thousand words.” In this case, these words tell the rich social, cultural, and economic history of San Francisco. In collaboration with the Gray Area Foundation for the Arts—an organization whose mission is to transform cities into creative outlets, apply technology to solve problems, and shape how art is created and consumed in the digital era—and Metis Data Science, Rumman Chowdhury created an interactive data art installation with the purpose of educating San Franciscans about their own city. Rumman discusses the challenges of using historical, predigital-era data with D3 and R to craft a compelling and educational story residing at the intersection of art and technology. The project combines data analysis with cutting-edge visualization tools to present this story in a walk-through interactive gallery format.
Rumman Chowdhury is a senior manager and AI lead at Accenture, where she works on cutting-edge applications of artificial intelligence and leads the company’s responsible and ethical AI initiatives. She also serves on the board of directors for three AI startups. Rumman’s passion lies at the intersection of artificial intelligence and humanity. She comes to data science from a quantitative social science background. She has been interviewed by Software Engineering Daily, the PHDivas podcast, German Public Television, and fashion line MM LaFleur. In 2017, she gave talks at the Global Artificial Intelligence Conference, IIA Symposium, ODSC Masterclass, and the Digital Humanities and Digital Journalism conference, among others. Rumman holds two undergraduate degrees from MIT and a master’s degree in quantitative methods of the social sciences from Columbia University. She is near completion of her PhD from the University of California, San Diego.
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