AI-based Request Augmentation to Increase Crowdsourcing Participation

Authors Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael Bernstein Abstract To support the massive data requirements of modern supervised machine learning (ML) algorithms, crowdsourcing systems match volunteer contributors to appropriate tasks. Such systems learn “what” types of tasks contributors are interested to complete. In this paper, instead of focusing on “what” to ask,

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Stanford Welcomes Washington Post’s Director of Engineering

Stanford welcomed Jeremy Bowers, Director of Engineering, at The Washington Post. Bowers and his team are ramping up for the 2020 election, focusing on political data projects including election restyles, congressional votes and campaign finance. Bowers spoke on October 15 to an interdisciplinary group of Stanford students (compute science, engineering and business, among others). He

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Stanford Welcomes Wired Editor-in-Chief Nicholas Thompson

On October 8, The Brown Institute at Stanford welcomed Wired magazine Editor-in-Chief Nicholas Thompson who joined Stanford Brown Director, Maneesh Agrawala, for an in-depth conversation about the state of the media and technology. The two discussed  the trajectory of Thompson’s journalistic career – from The Washington Monthly, to The New Yorker.com, The Atavist, to Wired and

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Frameworks for Predicting the Next Big Trends in Tech

    Industry-shifting opportunities come along about every five-to-ten years. In this Sept. 24th conversation at Stanford, Ceci Stallsmith, Slack’s Director of Platform Marketing, outlined her methodology for detecting platform shifts before it’s too late to jump on a trend. Given that the media industry is incredibly trend-driven and that the impact of innovation seems

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