The responsible administrator : an approach to ethics for the administrative role / Terry L. Cooper.

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【簡介】 Those who serve the public trust must take special care to ensure they make ethical and responsible decisions. Yet the realities of bureaucracies, deadlines, budgets, and demands for quick results make the payoffs for dealing formally with ethics seem unclear. Since its original publication, The Responsible Administrator has guided professionals and students alike as they grapple with the challenges of making ethical, responsible decisions in real world situations. This new edition includes information on coping with new demands for accountability, as well as new cases and examples, an examination of current issues relevant to administrative ethics, and supplementary materials for professors. Cooper’s theoretical framework and practical applications and techniques will help you consider all of the factors involved in a decision, ensuring that you balance professional, personal, and organizational values. Case studies and examples illustrate what works and what does not. The Responsible Administrator helps both experienced and novice public administrators and students become effective decision makers, provides them with a solid understanding of the role of ethics in public service and the framework to incorporate ethical and values-based decision making in day-to-day management. 【目錄】

Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making (1版)

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【簡介】 Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.Most textbooks present data science as a linear analytic process involving a set of statistical and computational techniques without accounting for the challenges intrinsic to real-world applications. Veridical Data Science, by contrast, embraces the reality that most projects begin with an ambiguous domain question and messy data; it acknowledges that datasets are mere approximations of reality while analyses are mental constructs. Bin Yu and Rebecca Barter employ the innovative Predictability, Computability, and Stability (PCS) framework to assess the trustworthiness and relevance of data-driven results relative to three sources of uncertainty that arise throughout the data science life cycle: the human decisions and judgment calls made during data collection, cleaning, and modeling. By providing real-world data case studies, intuitive explanations of common statistical and machine learning techniques, and supplementary R and Python code, Veridical Data Science offers a clear and actionable guide for conducting responsible data science. Requiring little background knowledge, this lucid, self-contained textbook provides a solid foundation and principled framework for future study of advanced methods in machine learning, statistics, and data science. Presents the Predictability, Computability, and Stability (PCS) methodology for producing trustworthy data-driven resultsTeaches how a data science project should be conducted from beginning to end, including extensive discussion of the data scientist’s decision-making processCultivates critical thinking throughout the entire data science life cycleProvides practical examples and illuminating case studies of real-world data analysis problems with associated code, exercises, and solutionsSuitable for advanced undergraduate and graduate students, domain scientists, and practitioners

The Student’s Guide to Cognitive Neuroscience (5版)

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【簡介】 Reflecting recent changes in the way cognition and the brain are studied, this thoroughly updated fifth edition of this bestselling textbook provides a comprehensive and student-friendly guide to cognitive neuroscience. Jamie Ward provides an easy-to-follow introduction to neural structure and function, as well as all the key methods and procedures of cognitive neuroscience, with a view to helping students understand how they can be used to shed light on the neural basis of cognition.The book presents a comprehensive overview of the latest theories and findings in all the key topics in cognitive neuroscience, including vision, hearing, attention, memory, speech and language, executive function, social and emotional behavior, and developmental neuroscience. Throughout, case studies, newspaper reports, everyday examples, and student-friendly pedagogy are used to help students understand the more challenging ideas that underpin the subject. This edition features expanded coverage of consciousness, a combined chapter on literacy and numeracy, and increased coverage of brain networks and computational approaches.Written in an engaging style by a leading researcher in the field and presented in full color including numerous illustrative materials, this book will be invaluable as a core text for undergraduate modules in cognitive neuroscience. It can also be used as a key text on courses in cognition, cognitive neuropsychology, biopsychology, or brain and behavior. Those embarking on research will find it an invaluable starting point and reference.This textbook is supported by an extensive collection of free digital resources for students and instructors, including lectures by leading researchers, links to key studies and interviews, multiple-choice questions, and interactive flashcards to test your knowledge. Visit the Instructor & Student Resources website at routledgelearning.com/wardcognitiveneuroscience.