Main description:

The Nature and Use of Ecotoxicological Evidence: Natural Science, Statistics, Psychology, and Sociology examines how toxicologists and environmental professionals come to understand and make decisions about possible harm from pollutants. Drawing on concepts and techniques from the natural, social and mathematical sciences, the book emphasizes how pollutant-related evidence is gathered, assessed, communicated and applied in decision-making. Each chapter begins with a real-world example before exploring fundamental cognitive, social, statistical or natural science concepts to explain the opening example. Methods from other disciplines for recognizing, reducing or removing the influence of impediments in wise decision-making are highlighted in each chapter.

Misreading evidence by the scientific community, and miscommunication to regulators and the public, remain major impediments to wise action in pollution issues. Which evidence comes to dominate the dialogue among scientists, regulators and decision makers depends on social and scientific dynamics. Yet psychological and sociological factors that influence the movement of evidence through scientific communities to regulators receive cursory discussion by professionals unfamiliar with the sociology literature. Toxicologists, environmental scientists, psychologists and professionals and students across the sciences will find the book useful for understanding how evidence is generated, assessed and communicated in their own fields.

Contents:

Section 1. INTRODUCTION 1. Human History and the Emerging Importance of Pollution 2. Vital Evidence for the Anthropocene

Section 2. HOW INDIVIDUALS GATHER EVIDENCE AND MAKE JUDGMENTS 3. Human Reasoning: Everyday Cognitive Heuristics and Foibles 4. Human Reasoning: Within Scientific Traditions and Rules 5. Pathology of Human Reasoning within the Sciences 6. Individual Scientist: Reasoning by the Numbers

Section 3. HOW GROUPS WEIGH AND APPLY EVIDENCE 7. Social Processing of Evidence: Common Dynamics and Foibles 8. How New Evidence Enters and Moves within Groups 9. Evidence in Social Networks 10. Conclusion