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.
- Best poster award, Metascience 2019 conference (with Ph.D. student Han Zhuang)
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