HAI Weekly Seminar with Harikesh Nair
Digital Advertising: The Golden Age of Experiments
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Digital Advertising: The Golden Age of Experiments
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.

Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
An AI Measurement Science (AIMS) Seminar Series

An AI Measurement Science (AIMS) Seminar Series
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.

Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Running experiments is part and parcel of science and have lead to dramatic breakthroughs in fields such as biology, medicine and physics. Compared to these, business experiments – focused on outcomes and issues of interest to firms – are a relatively newer phenomenon but are now becoming increasingly prevalent. In some areas, such as digital advertising, experimentation has become a core feature of how business is run, so much so that the current decade in computational advertising represents a golden age of experimentation in the social sciences. This talk describes how online experimentation works in modern ad-systems, and how advertising experiments differ significantly from their natural science counterparts. I also discuss practical challenges in building experimental systems within technology-driven platforms and in driving adoption of experimentation-driven tools amongst advertisers and marketers using examples from the Chinese and US markets.
