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The COVID-19 pandemic has sparked unprecedented mobilization of scientists,generating a deluge of papers that makes it hard for researchers to keep trackand explore new directions. Search engines are designed for targeted queries,not for discovery of connections across a corpus. In this paper, we presentSciSight, a system for exploratory search of COVID-19 research integrating twokey capabilities: first, exploring associations between biomedical facetsautomatically extracted from papers (e.g., genes, drugs, diseases, patientoutcomes); second, combining textual and network information to search andvisualize groups of researchers and their ties. SciSight has so far served over$15K$ users with over $42K$ page views and $13\%$ returns.

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search