This will be the first interdisciplinary book ever to attempt an integration of epidemiology/public health, computation/informatics, and philosophy of science for causal inferenceThe book will offer both a review of current research at the three intersections between the three fields and a new theory of how all three can be integrated to improve public health researchThe book will not provide an historical overview, but it will zoom in on causal inference in public health and how informatics/computational approaches can help identify causal associations in the health sciencesweiterlesen