Computer science, the digital humanities and students eager to make a difference are all in the mix for a high-stakes collaboration tapping brainpower and the gift of time.
What if university computer scientists, biologists and historians collaborated to use modern artificial intelligence and machine learning to examine a massive trove of infectious disease research papers, text mining for abstract patterns, elusive insights and hard-to-spot trends related to COVID-19 and the coronavirus family of viruses?
Imagine the energy such a group could generate if their students, working remotely and cut off from the normal distractions of student life, jumped in to volunteer for the project? Welcome to the nascent SMU Artificial Intelligence Lab.