Part 5/8:
Kaggle hosts competitions where organizations provide datasets for the global data science community to analyze and build AI models. During the pandemic, Kaggle has provided a dataset of 44,000 medical papers largely about coronaviruses, though not all focused exclusively on COVID-19. This extensive collection, with inconsistent terminology and diverse topics, presents a daunting challenge for manual sorting.
AI and machine learning algorithms are ideally suited for this task because they can process vast datasets rapidly. The goal is to extract actionable insights that can answer pressing scientific questions about the virus, its transmission, impact, and potential treatments.