Causation in Population Health Informatics and Data Science

This will be the first interdisciplinary book ever to attempt an integration of epidemiology/public health, computation/informatics, and philosophy of science for causal inference
The 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 research
The 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 sciences

Reviews intersections between epidemiology, public health, computation, informatics, and science philosophy Suggests a new theory for the integration of epidemiology, public health, computation, informatics, and science philosophy to improve public health research Evaluates how informatics and computational approaches can aid the identification of causal associations in the health sciences

Autorentext
Olaf Dammann, M.D. (U Hamburg, '90), S.M. Epidemiology (Harvard, '97) is Professor of Public Health and Community Medicine, Pediatrics, and Ophthalmology at Tufts University School of Medicine in Boston, USA. He is also Editor-in-Chief Emeritus of PEDIATRIC RESEARCH, the publication of the International Pediatric Research Foundation. His research interests include the elucidation of risk factors for brain damage and retinopathy in preterm newborns, the theory of risk and causation in biomedical and population health research, and the development of computational chronic disease models. He has received grant support from the National Institutes of Health and the European Union. His bibliography lists more than 200 publications.Dr Benjamin Smart is senior lecturer at The University of Johannesburg, and a founder member of The African Centre for Epistemology and Philosophy of Science. He was awarded a PhD in metaphysics by The University of Nottingham in 2012, before lecturing philosophy at The University of Birmingham (2012-2015). Smart has published widely on causation, laws of nature, and on the philosophy of health and disease.

Inhalt
Introduction.- Data Interpretation.- Data Generation.- Informatics.- Philosophy.- Causal inference.- Knowledge Integration.- Systems Thinking.- Summary and conclusion.