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System Dynamics Modeling with R

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Table of Contents

An Introduction to System Dynamics.- An Introduction to R.- Modeling Limits to Growth.- Higher Order Models.- Diffusion Models.- Model Testing.- Model Analysis and Calibration.- Appendix A: Installing R and R Studio.

About the Author

Dr. Jim Duggan is a Senior Lecturer in Information Technology in the College of Engineering and Informatics at the National University of Ireland Galway. He received both his Masters and Ph.D. from University College Galway, Ireland (1987 and 1990), in the discipline of Industrial Engineering and Information Systems. He has worked as a software engineer in industry, specializing in the design and implementation of decision support systems. He has also consulted in business process analysis and quality management with multinational organizations, in order to apply modern systems engineering principles to improve process efficiency and effectiveness. He has extensive experience in system dynamics teaching and research, and collaborates on interdisciplinary projects using system dynamics to enhance decision making. Examples include: long-term health systems planning, crowdsourcing systems for public health surveillance, early-warning systems for extreme weather events, and mHealth applications to support health-changing behaviours. Dr. Duggan's main research interests are in the application of system dynamics, data science, and simulation to public health policy challenges. He has published over 90 peer-reviewed papers, and is on the editorial board for the System Dynamics Review.

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