Across the country, in courts, classrooms, and the media, Americans are deeply divided over the use of race in admitting students to universities. Yet until now the debate over race and admissions has consisted mainly of clashing opinions, uninformed by hard evidence. This work, written by two of the country's most respected academic leaders, intends to change that. It brings a wealth of empirical evidence to bear on how race-sensitive admissions policies actually work and what effects they have on students of different races.;William G. Bowen, argue that we can pass an informed judgment on the wisdom of race-sensitive admissions only if we understand in detail the college careers and the subsequent lives of students - or, to use a metaphor they take from Mark Twain, if we learn the shape of the entire river. The heart of the book is thus an unprecedented study of the academic, employment, and personal histories of more than 45,000 students of all races who attended academically selective universities between the 1970s and the early 1990s.

"In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual "most-wanted" lists, and databanks collect personal and biometric information. This bookintroduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies - viewed as race-neutral and objective - have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to 'turn the page' on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime"--