14. A computing system comprising a processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the processor implement a risk assessment method, said method comprising: receiving, by an inference engine within said computing system, first sensor cohort data associated with a first cohort, said first cohort located within a gate area within an airport; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding said airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and said gate area within said airport; generating, by said inference engine, fourth inference data, said fourth inference data comprising a fourth plurality of inferences associated with said first cohort and said gate area within said airport, wherein said generating said fourth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, and said third inference data; generating, by said inference engine based on said fourth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said fourth inference data and said first associated risk level score.
14. A computing system comprising a processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the processor implement a risk assessment method, said method comprising: receiving, by an inference engine within said computing system, first sensor cohort data associated with a first cohort, said first cohort located within a gate area within an airport; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding said airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and said gate area within said airport; generating, by said inference engine, fourth inference data, said fourth inference data comprising a fourth plurality of inferences associated with said first cohort and said gate area within said airport, wherein said generating said fourth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, and said third inference data; generating, by said inference engine based on said fourth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said fourth inference data and said first associated risk level score. 22. The computing system of claim 14 , wherein said first sensor cohort data comprises data associated with a cohort selected from the group consisting of a retina detection cohort, a directional viewing cohort, a respiration cohort, a perspiration cohort, a pallor cohort, and a face cohort.