Dr. Simon M. Hsiang joined Texas Tech from North Carolina State University. He has more than 15 years of teaching experience in the areas of human factors and analytics. He was a senior researcher for the Liberty Mutual Insurance Group in Boston for many years working in the areas of incident analysis and field surveys of risk factors involved in occupational injuries and worker compensation. The insurance data involved in his work are usually multi-features, multiple failure modes, highly demographical and geographical networks. Since he joined academia, he has received support from the National Institute of Occupational Safety and Health (NIOSH), the U.S. Postal Service (USPS), the U.S. Air Force and the National Aeronautics and Space Administration (NASA). His past experience with large complex data of recurring events in the actuarial and field epidemiological studies can be directly conveyed to the stratification and development of meta-rules. The goals for both systems are the same, to transfer community dependent incomplete anecdotes into verifiable probability based on the given causal criteria.