Trial and Error in Criminal Justice Reform


Book Description

In this revised edition of their concise, readable, yet wide-ranging book, Greg Berman and Aubrey Fox tackle a question students and scholars of law, criminology, and political science constantly face: what mistakes have led to the problems that pervade the criminal justice system in the United States? The reluctance of criminal justice policymakers to talk openly about failure, the authors argue, has stunted the public conversation about crime in this country and stifled new ideas. It has also contributed to our inability to address such problems as chronic offending in low-income neighborhoods, an overreliance on incarceration, the misuse of pretrial detention, and the high rates of recidivism among parolees. Berman and Fox offer students and policymakers an escape from this fate by writing about failure in the criminal justice system. Their goal is to encourage a more forthright dialogue about criminal justice, one that acknowledges that many new initiatives fail and that no one knows for certain how to reduce crime. For the authors, this is not a source of pessimism, but a call to action. This revised edition is updated with a new foreword by Cyrus R. Vance, Jr., and afterword by Greg Berman.




Trial Without Error


Book Description




Trial and Error


Book Description

Miami attorney Steve Solomon and his partner-cum-lover Victoria Lord find themselves on opposite sides of a high-profile case involving dolphin kidnapping ecoterrorists that could generate big-time publicity for their law firm. By the author of Kill All the Lawyers. Original.




Uncontrolled


Book Description

How do we know which social and economic policies work, which should be continued, and which should be changed? Jim Manzi argues that throughout history, various methods have been attempted -- except for controlled experimentation. Experiments provide the feedback loop that allows us, in certain limited ways, to identify error in our beliefs as a first step to correcting them. Over the course of the first half of the twentieth century, scientists invented a methodology for executing controlled experiments to evaluate certain kinds of proposed social interventions. This technique goes by many names in different contexts (randomized control trials, randomized field experiments, clinical trials, etc.). Over the past ten to twenty years this has been increasingly deployed in a wide variety of contexts, but it remains the red-haired step child of modern social science. This is starting to change, and this change should be encouraged and accelerated, even though the staggering complexity of human society creates severe limits to what social science could be realistically expected to achieve. Randomized trials have shown, for example, that work requirements for welfare recipients have succeeded like nothing else in encouraging employment, that charter school vouchers have been successful in increasing educational attainment for underprivileged children, and that community policing has worked to reduce crime, but also that programs like Head Start and Job Corps, which might be politically attractive, fail to attain their intended objectives. Business leaders can also use experiments to test decisions in a controlled, low-risk environment before investing precious resources in large-scale changes -- the philosophy behind Manzi's own successful software company. In a powerful and masterfully-argued book, Manzi shows us how the methods of science can be applied to social and economic policy in order to ensure progress and prosperity.




The Federal Reporter


Book Description

Includes cases argued and determined in the District Courts of the United States and, Mar./May 1880-Oct./Nov. 1912, the Circuit Courts of the United States; Sept./Dec. 1891-Sept./Nov. 1924, the Circuit Courts of Appeals of the United States; Aug./Oct. 1911-Jan./Feb. 1914, the Commerce Court of the United States; Sept./Oct. 1919-Sept./Nov. 1924, the Court of Appeals of the District of Columbia.




Trial and Error


Book Description

A small-town lawyer has been searching for his daughter for eighteen years. Now a local girl has gone missing, and he’s determined to find them both—no matter the cost. Buddy Smith built his law practice around tracking down missing children. After all, he knows the agony of being separated from a child. Not long after his daughter’s birth, her mother took her and ran away. Buddy hasn’t seen either since. Gracie Blaylock has known Buddy her entire life, and now that she is clerk of court for the county, their paths cross frequently. When Gracie hears that a teenager is missing, she knows Buddy is the one for the case. The missing girl’s parents are desperate for answers. Together with Gracie and Mayleah—the new detective in town—Buddy chases every lead, hoping to reach the missing teen before it’s too late. While he pursues one girl, he uncovers clues that could bring him closer to the daughter he thought he’d lost forever. Master storyteller Robert Whitlow will keep you guessing in this gripping legal drama while also reminding you of the power of God’s restoration. Gripping, stand-alone legal drama Full-length novel at approximately 120,000 words Includes discussion questions for book clubs Also by Robert Whitlow: The Trial, The Confession, and The Witnesses




Solomon Vs. Lord


Book Description

Steve Solomon and Victoria Lord are drawn into the steamiest trial of the century when the unlikely duo teams up to defend Katrina Barksdale, a sexy former figure skater accused of killing her wealthy, kinky husband. Original.




A Wilderness of Error


Book Description

Soon to be an FX Docuseries from Emmy® Award-Winning Producer Marc Smerling (The Jinx) featuring the author Errol Morris! Academy Award–winning filmmaker Errol Morris examines one of the most notorious and mysterious murder trials of the twentieth century In this profoundly original meditation on truth and the justice system, Errol Morris—a former private detective and director of The Thin Blue Line—delves deeply into the infamous Jeffrey MacDonald murder case. MacDonald, whose pregnant wife and two young daughters were brutally murdered in 1970, was convicted of the killings in 1979 and remains in prison today. The culmination of an investigation spanning over twenty years and a masterly reinvention of the true-crime thriller, A Wilderness of Error is a shocking book because it shows that everything we have been told about the case is deeply unreliable and that crucial elements of case against MacDonald are simply not true.




Reinforcement Learning, second edition


Book Description

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.