Part 2/8:
In the early days of COVID-19 research, scientists and engineers relied on laborious manual methods to sift through thousands of research articles. A prime example is a scatterplot illustrating how college students used programming to cluster and label thousands of documents related to COVID-19, making the vast amount of information more manageable and accessible.
These students leveraged computer code to create visualizations that could reveal patterns, relationships, and clusters within the data. This technological approach allows for a more comprehensive understanding of the literature, enabling researchers to identify relevant studies quickly and efficiently.