Title: Small steps with Big Data: Using Machine Learning in Resource Economics
Abstract: This talk looks at how recent developments in Big Data and Machine Learning are being used in conjunction with randomized controlled trials and large population level program evaluations to design, implement and measure efforts to change consumer behavior. We will explore the role played by very detailed consumption data (often at 15 minute intervals), as well as recent techniques such as deep learning to help us better understand individual and population behaviors, and which insights from behavioral sciences are effective at changing behaviors in areas such as energy conservation and efficiency.
