"In the seemingly mundane Northern farm of early America and the people who sought to improve its productivity and efficiency, Emily Pawley finds a world rich with innovative practices and marked by a developing interrelationship between scientific knowledge, industrial methods, and capitalism. Agricultural "improvers" became increasingly scientistic, driving tremendous increases in the range and volume of agricultural output-and transforming American conceptions of expertise, success, and exploitation. Pawley's focus on soil, fertilizer, apples, mulberries, agricultural fairs, and experimental stations shows each nominally dull subject to have been an area of intellectual ferment and sharp contestation: mercantile, epistemological, and otherwise"--

The Improvement Science Dissertation in Practice provides a narrative and illustration about the purpose and features comprising the Dissertation in Practice and how this culminating experience is well suited to using Improvement Science as a signature methodology for preparing professional practitioners. This methodology, when combined with the Dissertation in Practice experience in EdD programs, reinforces practitioner learning about and skills for leadership and change. As a guide, the book is an extremely valuable resource that supports faculty, students, and practitioners in the application of Improvement Science to pressing educational problems in a structured, disciplined way. Perfect for courses such as: Educational Leadership, Research Methods, The Dissertation Process, Dissertation Writing and Research, and Thesis and Dissertation

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.