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The National Science Foundation (NSF) held a virtual Symposium on PRedicting Emergence of Virulent Entities by Novel Technologies (PREVENT), on February 22 – 23, 2021 as part of its series on Predictive Intelligence for Pandemic Prevention (PIPP). The workshop brought together more than 60 leading experts, representing NSF research directorates for Biological Sciences (BIO), Computer Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and the Office of International Science and Engineering (OISE), to discuss how the global behavior of an infectious entity can emerge from the interactions that begin occurring between components at the molecular level and expand to physiological, environmental, and population scales. The workshop was divided into four sessions, each focusing on one of four different scales: 1) end-toend (or multi-scale) 2) molecular, 3) physiological and environmental, and 4) population and epidemiological. Particular focus was given to identifying challenges and opportunities in each of these domains. The workshop aimed to: • Identify interdisciplinary advances in science, technology, and human behavior to enable prediction and prevention of future pandemics • Begin to build the necessary convergence to be optimally prepared to prevent future pandemics • Establish convergent data commons and cyberinfrastructure for PIPP This workshop report summarizes the plenary presentations, panel discussions, and breakout group sessions that took place at this event. The results presented here are drawn from the viewpoints expressed by the participants and do not necessarily reflect those of the broader pandemic research community.