This book examines the visual representations used in the popular communication of genetics. Drawing upon public science communication theories, information design theories, and social semiotics, the book offers both in-depth analyses and high-level synthesis of how genetics is visualized for the U.S. public from the early 20th century to the present. Individual chapters focus on six visual genres: photographs, micrographs, illustrations, genetic code images, quantitative graphs, and molecular structure images. Han Yu challenges readers to consider the significance of these images we often take for granted, including their historical contexts, scientific backstories, information richness, stylistic choices, economic motivations, and social implications. In doing so, the book reveals the complex cognitive, affective, and social-cultural factors that both shape and are shaped by these images. The book will be particularly useful to scholars of public science communication and visual communication, practitioners of science communication, and scientists from a range of related life science disciplines.
|Publisher:||Palgrave Macmillan UK|
|Edition description:||Softcover reprint of the original 1st ed. 2017|
|Product dimensions:||5.83(w) x 8.27(h) x 0.02(d)|
About the Author
Han Yu is professor of technical communication at Kansas State University, USA. Her research interests include scientific/science communication, visual rhetoric, and intercultural communication. She is author of The Other Kind of Funnies: Comics in Technical Communication and co-editor of Negotiating Cultural Encounters: Narrating Intercultural Engineering and Technical Communication.
Table of ContentsChapter 1 Introduction: Visualizing Genetics for Public Readers.- Chapter 2 The Photographic View: Observational Record and Symbolic Excess.- Chapter 3 The Microscopic View: Miniscule Science and Art.- Chapter 4 The Illustrated View: Iconic Explanations and Figurative Metaphors.- Chapter 5 The Code View: Cracking the Genetic Code of Life.- Chapter 6 The Graph View: Navigating Big Data Science.- Chapter 7 The Structural View: 2D Realities and 3D Possibilities.- Chapter 8 Conclusion.