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 Daniel Acuña: Computer Science Pre-research session Fall 2022

The SOS+CD Lab works on understanding current practices in science and developing semi-automated methods to mine scientific knowledge from the vast, unstructured dataset of full-text publications, citations, and images.

We use various computational techniques, including deep learning, natural language processing, graph analytics, image processing, and causal inference. See a list of our projects and publications. The ideal student should have a good grasp of quantitative methods and be a good programmer. In addition, the ideal candidate should have an undergraduate or master’s degree in Computer Science, Engineering, Applied Statistics, Mathematics, or a similar quantitative field.


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