"A bold call to reexamine how our government operates-and sometimes fails to-from President Obama's former deputy chief technology officer and the founder of Code for America. Just when we most need our government to work-to decarbonize our infrastructure and economy, to help the vulnerable through a pandemic, to defend ourselves against global threats-it is faltering. Government at all levels has limped into the digital age, offering online services that can feel even more cumbersome than the paperwork that preceded them and widening the gap between the policy outcomes we intend and what we get. But it's not more money or more tech we need. Government is hamstrung by a rigid, industrial-era culture, in which elites dictate policy from on high, disconnected from and too often disdainful of the details of implementation. Lofty goals morph unrecognizably as they cascade through a complex hierarchy. But there is an approach taking hold that keeps pace with today's world and reclaims government for the people it is supposed to serve. Jennifer Pahlka shows why we must stop trying to move the government we have today onto new technology and instead consider what it would mean to truly recode American government"--

"Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems - rather than humans - control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile"--Publisher's website.