“Enobong Hannah Branch and Caroline Hanley have written an insightful book that documents just how fragile the American Dream is and always has been for Black workers. Anyone who wants to understand the complex, nuanced relationship between race, gender, and economic insecurity needs to pick up Work in Black and White immediately.”
—ADIA WINGFIELD, vice dean of faculty development and diversity, professor of sociology, Mary Tileston Hemenway Professor of Arts and Sciences, Washington University in St. Louis

“Work in Black and White deftly weaves Black and White workers’ sense making of their labor market insecurities with clear historical and demographic analyses. ‘Stories have the power to make inequality legitimate,’ the authors write and go on to document the commonalities and divergence in stories told by educated men and women. While Black and White workers share aspirations for security, they part ways on how to understand the barriers to achieving it. Black workers recognize continuities in racism and White nepotism but also tend to believe they have some control over their own futures. Whites misperceive their precarity as a loss of racial privilege, while being blind to their advantaged reliance on White networks to get and keep jobs. Both groups embrace myths around hard work, education, and meritocracy and so are unable to imagine, much less generate, a political agenda to deal with the profound structural weaknesses of the U.S. economy. Read this book.”
— DONALD TOMASKOVIC-DEVEY, professor of sociology and director, Center for Employment Equity, University of Massachusetts, Amherst

“Work in Black and White reminds us that leaving school is just the beginning of the struggle for economic security. Many workers experience recessions as new threats and recoveries as challenges to their past accomplishments. And, of course, nothing works the same for women and men or Blacks and Whites. Enobong Hannah Branch and Caroline Hanley build a case for employment policy that goes beyond credentials and self-reliance; America needs to reset the imbalance between workers and employers.”
—MICHAEL HOUT, professor of sociology and director, Center for Advanced Social Science Research, New York University

The ability to achieve economic security through hard work is a central tenet of the American Dream, but significant shifts in today’s economy have fractured this connection. While economic insecurity has always been a reality for some Americans, Black Americans have historically long experienced worse economic outcomes than Whites. In Work in Black and White, sociologists Enobong Hannah Branch and Caroline Hanley draw on interviews with 79 middle-aged Black and White Americans to explore how their attitudes and perceptions of success are influenced by the stories American culture has told about the American Dream – and about who should have access to it and who should not.

Branch and Hanley find that Black and White workers draw on racially distinct histories to make sense of today’s rising economic insecurity. White Americans have grown increasingly pessimistic and feel that the American Dream is now out of reach, mourning the loss of a sense of economic security which they took for granted. But Black Americans tend to negotiate their present insecurity with more optimism, since they cannot mourn something they never had. All educated workers bemoaned the fact that their credentials no longer guarantee job security, but Black workers lamented the reality that even with an education, racial inequality continues to block access to good jobs for many.

The authors interject a provocative observation into the ongoing debate over opportunity, security, and the American Dream: Among policymakers and the public alike, Americans talk too much about education. The ways people navigate insecurity, inequality, and uncertainty rests on more than educational attainment. The authors call for a public policy that ensures dignity in working conditions and pay while accounting for the legacies of historical inequality.

Americans want the game of life to be fair. While the survey respondents expressed common ground on the ideal of meritocracy, opinions about to achieve economic security for all diverge along racial lines, with the recognition – or not – of differences in current and past access to opportunity in America.

Work in Black and White is a call to action for meaningful policies to make the premise of the American Dream a reality.

ENOBONG HANNAH BRANCH is Senior Vice President for Equity and Professor of Sociology, Rutgers University

CAROLINE HANLEY is Associate Professor of Sociology, William & Mary

Extreme weather is increasing in scale and severity as global warming worsens. While poorer communities are typically most vulnerable to the negative effects of climate change, even well-resourced communities are increasingly vulnerable as climate-related storms intensify. Yet little is known about how middle-class communities are responding to these storms and the resulting damage. In Soaking the Middle Class, sociologists Anna Rhodes and Max Besbris examine how a middle-class community recovers from a climate-related disaster and how this process fosters inequality within these kinds of places.

In 2017, Hurricane Harvey dropped record-breaking rainfall in Southeast Texas resulting in more than $125 billion in direct damages. Rhodes and Besbris followed 59 flooded households in Friendswood, Texas, for two years after the storm to better understand the recovery process in a well-resourced, majority-White, middle-class suburban community. As such, Friendswood should have been highly resilient to storms like Harvey, yet Rhodes and Besbris find that the recovery process exacerbated often-invisible economic inequality between neighbors. Two years after Harvey, some households were in better financial positions than they were before the storm, while others still had incomplete repairs, were burdened with large new debts, and possessed few resources to draw on should another disaster occur.

Rhodes and Besbris find that recovery policies were significant drivers of inequality, with flood insurance playing a key role in the divergent recovery outcomes within Friendswood. Households with flood insurance prior to Harvey tended to have higher incomes than those that did not. These households received high insurance payouts, enabling them to replace belongings, hire contractors, and purchase supplies. Households without coverage could apply for FEMA assistance, which offered considerably lower payouts, and for government loans, which would put them into debt. Households without coverage found themselves exhausting their financial resources, including retirement savings, to cover repairs, which put them in even more financially precarious positions than they were before the flood.

The vast majority of Friendswood residents chose to repair and return to their homes after Hurricane Harvey. Even this devastating flood did not alter their plans for long-term residential stability, and the structure of recovery policies only further oriented homeowners towards returning to their homes. Prior to Harvey, many Friendswood households relied on flood damage from previous storms to judge their vulnerability and considered themselves at low risk. After Harvey, many found it difficult to assess their level of risk for future flooding. Without strong guidance from federal agencies or the local government on how to best evaluate risk, many residents ended up returning to potentially unsafe places.

As climate-related disasters become more severe, Soaking the Middle Class illustrates how inequality in the United States will continue to grow if recovery policies are not fundamentally changed.

ANNA RHODES is Assistant Professor of Sociology, Rice University

MAX BESBRIS is Assistant Professor of Sociology, University of Wisconsin-Madison

Algorithms–rules written into software–shape key moments in our lives: from who gets hired or admitted to a top public school, to who should go to jail or receive scarce public benefits. Today, high stakes software is rarely open to scrutiny, but its code navigates moral questions: Which of a person’s traits are fair to consider as part of a job application? Who deserves priority in accessing scarce public resources, whether those are school seats, housing, or medicine? When someone first appears in a courtroom, how should their freedom be weighed against the risks they might pose to others?

Policymakers and the public often find algorithms to be complex, opaque and intimidating—and it can be tempting to pretend that hard moral questions have simple technological answers. But that approach leaves technical experts holding the moral microphone, and it stops people who lack technical expertise from making their voices heard. Today, policymakers and scholars are seeking better ways to share the moral decisionmaking within high stakes software — exploring ideas like public participation, transparency, forecasting, and algorithmic audits. But there are few real examples of those techniques in use.

In Voices in the Code, scholar David G. Robinson tells the story of how one community built a life-and-death algorithm in a relatively inclusive, accountable way. Between 2004 and 2014, a diverse group of patients, surgeons, clinicians, data scientists, public officials and advocates collaborated and compromised to build a new transplant matching algorithm – a system to offer donated kidneys to particular patients from the U.S. national waiting list.

Drawing on interviews with key stakeholders, unpublished archives, and a wide scholarly literature, Robinson shows how this new Kidney Allocation System emerged and evolved over time, as participants gradually built a shared understanding both of what was possible, and of what would be fair. Robinson finds much to criticize, but also much to admire, in this story. It ultimately illustrates both the promise and the limits of participation, transparency, forecasting and auditing of high stakes software. The book’s final chapter draws out lessons for the broader struggle to build technology in a democratic and accountable way.

DAVID G. ROBINSON is a visiting scholar at the Social Science Matrix at the University of California, Berkeley, and a member of the faculty at Apple University. From 2018 to 2021, he developed this book as a Visiting Scientist at Cornell’s AI Policy and Practice Project. Earlier, Robinson co-founded and led Upturn, an NGO that partners with civil rights organizations to advance equity and justice in the design, governance, and use of digital technology.