Benjamin Wiggins – författare

In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. Wiggins begins by tracing how the life insurance industry utilized race in its calculations at the end of the nineteenth century, focusing particularly on Prudential and its aggressive battles with state regulators to discriminate against clients and adjust rates on the basis of race. He then turns his focus to the collection of racial statistics in the Illinois state penitentiary system in the late nineteenth century and the state's subsequent development of predictive sentencing and parole formulas in the 1920s that weighed race as a key factor. Next, he investigates the role of race in the state-sponsored mortgage insurance program of the Federal Housing Administration between the start of the New Deal and the beginning of the Cold War and its prolonged effects on mortgage lending. Wiggins concludes with an analysis of the use of race in the statistical risk assessments across financial institutions and government programs during the post-civil rights movement era, and how that practice has been transformed in the twenty-first century through "proxy" variables which stand in for the now taboo category of race. Offering readers a new perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision making increasingly pervade our lives.

In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. Wiggins begins by tracing how the life insurance industry utilized race in its calculations at the end of the nineteenth century, focusing particularly on Prudential and its aggressive battles with state regulators to discriminate against clients and adjust rates on the basis of race. He then turns his focus to the collection of racial statistics in the Illinois state penitentiary system in the late nineteenth century and the state''s subsequent development of predictive sentencing and parole formulas in the 1920s that weighed race as a key factor. Next, he investigates the role of race in the state-sponsored mortgage insurance program of the Federal Housing Administration between the start of the New Deal and the beginning of the Cold War and its prolonged effects on mortgage lending. Wiggins concludes with an analysis of the use of race in the statistical risk assessments across financial institutions and government programs during the post-civil rights movement era, and how that practice has been transformed in the twenty-first century through "proxy" variables which stand in for the now taboo category of race. Offering readers a new perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision making increasingly pervade our lives.

In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. Wiggins begins by tracing how the life insurance industry utilized race in its calculations at the end of the nineteenth century, focusing particularly on Prudential and its aggressive battles with state regulators to discriminate against clients and adjust rates on the basis of race. He then turns his focus to the collection of racial statistics in the Illinois state penitentiary system in the late nineteenth century and the state''s subsequent development of predictive sentencing and parole formulas in the 1920s that weighed race as a key factor. Next, he investigates the role of race in the state-sponsored mortgage insurance program of the Federal Housing Administration between the start of the New Deal and the beginning of the Cold War and its prolonged effects on mortgage lending. Wiggins concludes with an analysis of the use of race in the statistical risk assessments across financial institutions and government programs during the post-civil rights movement era, and how that practice has been transformed in the twenty-first century through "proxy" variables which stand in for the now taboo category of race. Offering readers a new perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision making increasingly pervade our lives.

Digital technology, interdisciplinarity, and a more inclusive set of perspectives and sources are altering the craft of history. Benjamin Wiggins places these emergent concerns in conversation with the field's traditions to guide readers through historians' fundamental practices and latest innovations. Framing history within the 'research lifecycle' model, he critically analyses how each stage in historical research is empowered (and sometimes imperilled) by technological, methodological, and social changes. The volume presents guidance for and examples of historians developing research questions, designing projects, contextualising their research, gathering primary sources, analysing that evidence, presenting their work, and sharing and preserving their research products. To illustrate the essential practices of each stage of the research lifecycle, Wiggins draws on twenty-seven case studies that span diverse regions and historical periods.In so doing, the book contributes novel methodological combinations that bring together the sciences and humanities in ways that hold promise for the future of researching the past. Through its holistic approach, the book stands apart from volumes that more narrowly consider the influence of technology alone. By centring techniques rather than technologies, it presents historical research practices that have worked well in this century's first decades to guide readers on how to produce new knowledge about the past in its remainder.