Evolution - Bergstrom, Carl T.; Dugatkin, Lee Alan
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A thorough and current introduction to evolutionary biology reinforced by tools that improve learning. Every chapter has been updated to provide a more focused, accessible introduction to core topics reflecting exciting new research, anthropogenic evolution examples, and increased emphasis on building data literacy. These emphases are reinforced by InQuizitive, which was revised and expanded to include more questions that involve interpreting evolutionary data and engaging with contemporary research.

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Produktbeschreibung
A thorough and current introduction to evolutionary biology reinforced by tools that improve learning. Every chapter has been updated to provide a more focused, accessible introduction to core topics reflecting exciting new research, anthropogenic evolution examples, and increased emphasis on building data literacy. These emphases are reinforced by InQuizitive, which was revised and expanded to include more questions that involve interpreting evolutionary data and engaging with contemporary research.
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Autorenporträt
Carl T. Bergstrom is a professor in the Department of Biology at the University of Washington in Seattle and a member of the external faculty at the Santa Fe Institute. He received his undergraduate degree in 1993 from Harvard University where he worked with Naomi Price and David Haig, and his PhD in 1998 from Stanford University where he worked with Marc Feldman. His postdoctoral work was done with Bruce Levin at Emory University. Dr. Bergstrom's research uses mathematical models and evolutionary theory to understand biological and social processes on scales from intracellular information processing to the population-wide spread of emerging infectious diseases. In addition to teaching the undergraduate evolution course at the University of Washington, Dr. Bergstrom teaches courses on evolution and medicine, game theory and animal behavior, and mathematical biology. He is the co-author of Calling Bullshit: The Art of Skepticism in a Data-Driven World.