D. in a quantitative or computational field (e.g., Machine Learning / Artificial Intelligence / Sequence Modeling, Econometrics, Economics / Finance, Statistics / Data Science, Applied Mathematics / Computational Science, or Network Science / Complex Systems / Information Science). Familiarity with network science, graph analytics, or knowledge graphs: citation networks, researcher networks, community detection, centrality, link prediction, graph embeddings.