The SOS+CD Lab at the iSchool, Syracuse University works on understanding current practices in science and developing semi-automated methods to mine scientific knowledge from vast, unstructured dataset of full-text publications, citations, and images. We use a variety of computational techniques including deep learning, natural language processing, graph analytics, image processing and causal inference.
News
- Best poster award, Metascience 2019 conference (with Ph.D. student Han Zhuang)
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October 14 - 16, 2019A talk and poster accepted to the Atlanta Conference on Science and Innovation Policy - New lab space in 205 Hinds Hall, iSchool