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What do you do with Data Science?

I work on applications of text-as-data and image-as-data to answer causal questions about environmental preferences and policies. In text as data I work on finding and evaluating persuasive texts through the use of topic models and artificial neural networks. I am working on methods to extract persuasive phrases from texts using deep recurrent and convolutional neural networks. I also work on methods for evaluating the impacts of policies using satellite data. This involves both writing new algorithms for improved remote sensing classification and segmentation, and developing methods which allow existing measurement strategies to fit into causal inference frameworks.

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