Data Science Without Modeling Impact is a Path to Disaster – Simulation to Explore the Impact of Group Size on COVID-19 Spread
In developing COVID-19 policies and managing supply chains the constant drumbeat is “data-driven decisions” where the new high priests are data scientists. Data by itself is not sufficient, the missing critical success factor is “models” to project the impact of decisions. One critical area for COVID-19 public policy is understanding the impact of different group sizes on the spread of COVID-19. This blog will provide a few examples of being “COVID-19 data adrift without operations management” and illustrate that a simple model that can be coded in a few hours provides more insight than is possible with just data for the group size question.