| Summary: | Mathematical Models for Society and Biology, 2 nd edition draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For the new edition, the author uses mathematical models that are simple, transparent, and verifiable. Also new to the book is an introduction to mathematical notions that every quantitative scientist in the biological and social sciences should know. Additionally, each chapter will now include a detailed discussion on how to formulate a reasonable model to gain insight into the specific question that has been introduced. This is an essential reference for life science researchers, professionals, post-docs, and graduate students as well as for applied mathematics professionals and graduate students interested in exploring mathematical modeling in biology. Offers a fresh and appealing approach to modeling by using anecdotes and real-life topics. Provides an introduction to useful modeling tools by covering topics such as the conundrums of chance and coincidences, Bayesian inference, spatial Poisson processes, and a comparison of normal and non-normal random processes. Features expanded appendices section with an extensive list of references, solutions to selected exercises in the book, and further discussion of various mathematical methods introduced in the book. Accessible for quick self study as well as a resource for courses in molecular biology, biochemistry, embryology and cell biology, medicine, ecology and evolution, bio-mathematics, and applied math in general.
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