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with collaborative research methods, contributing to the lab’s graph-based notetaking and knowledge base. • Explore innovative research dissemination methods, including micropublishing, iterative
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accuracy in link-tracing designs (e.g. Respondent driven sampling) Partial graph data collection strategies for networks (e.g. Aggregated Relational Data) Large scale models for anomaly detection on graphs
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, and biophysical modeling. • Experiment with collaborative research methods, contributing to the lab’s graph-based notetaking and knowledge base. • Explore innovative research dissemination methods
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