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Highlights the experiences of patients to examine how diagnostic uncertainty in cystic fibrosis has persisted despite the introduction of new technologies.

Using the critical case of cystic fibrosis (CF), Challenging Diagnosis probes the sociocultural and scientific factors that have contributed to diagnostic uncertainty in medicine while foregrounding its impact on patients and families. Though often described in medical and biology texts as a model genetic disease, making it straightforward to identify, diagnosing CF has long been fraught with challenges. As Michelle LaBonte shows, looking at CF illustrates how diagnostic uncertainty has persisted despite—and even because of—new technologies.

Drawing on her own experiences as a patient with pancreatic insufficiency, a condition often seen in people with CF, LaBonte examines shifts in CF’s screening and diagnosis, from the first comprehensive descriptions of the disease in the 1930s to contemporary genetic testing for carrier status. Today, the diagnosis of CF is no more straightforward than it was in the mid-twentieth century. Since many diagnostic technologies for CF (or their analogs) have been used throughout medicine, as LaBonte explains, these findings are broadly applicable beyond CF and demonstrate the significant harms associated with relying on test results that prioritize disease specificity over patient narratives. 

In her historical analysis and her personal story, LaBonte highlights the shortcomings of a reductionist biomedical model that’s overly reliant on diagnostic technologies, a concern that’s more relevant than ever now that direct-to-consumer genetic testing and use of whole genome sequencing in newborns are increasing.

Offering a unique perspective on the very notions and practices of storytelling, history, memory, and language, Clio’s Laws collects ten essays (some new and some previously published in Spanish) by a revered voice in global history. Taking its title from the Greek muse of history, this opus considers issues related to the historian’s craft, including nationalism and identity, and draws on Tenorio-Trillo’s own lifetime of experiences as a historian with deep roots in both Mexico and the United States. By turns deeply ironic, provocative, and experimental, and covering topics both lowbrow and highbrow, the essays form a dialogue with Clio about idiosyncratic yet profound matters.

Tenorio-Trillo presents his own version of an ars historica (what history is, why we write it, and how we abuse it) alongside a very personal essay on the relationship between poetry and history. Other selections include an exploration of the effects of a historian’s autobiography, a critique of history’s celebratory obsession, and a guide to reading history in an era of internet searches and too many books. A self-described exile, Tenorio-Trillo has produced a singular tour of the historical imagination and its universal traits.

On a near-daily basis, data is being used to narrate our lives. Categorizing algorithms draw from amassed personal data to assign narrative destinies to individuals at crucial junctures, simultaneously predicting and shaping the paths of our lives. Data is commonly assumed to bring us closer to objectivity, but the narrative paths these algorithms assign seem, more often than not, to replicate biases about who an individual is and could become.

While the social effects of such algorithmic logics seem new and newly urgent to consider, Collecting Lives looks to the late nineteenth and early twentieth century US to provide an instructive prehistory to the underlying question of the relationship between data, life, and narrative. Rodrigues contextualizes the application of data collection to human selfhood in the late nineteenth and early twentieth century US in order to uncover a modernist aesthetic of data that offers an alternative to the algorithmic logic pervading our sense of data’s revelatory potential. Examining the work of W. E. B. Du Bois, Henry Adams, Gertrude Stein, and Ida B. Wells-Barnett, Rodrigues asks how each of these authors draw from their work in sociology, history, psychology, and journalism to formulate a critical data aesthetic as they attempt to answer questions of identity around race, gender, and nation both in their research and their life writing. These data-driven modernists not only tell different life stories with data, they tell life stories differently because of data.

A study of the largely hidden world of primary media market research and the different methods used to understand how the viewer is pictured in the industry.

The first book on the intersection between market research and media, Creating the Viewer takes a critical look at media companies’ studies of television viewers, the assumptions behind these studies, and the images of the viewer that are constructed through them. Justin Wyatt examines various types of market research, including talent testing, pilot testing, series maintenance, brand studies, and new show “ideation,” providing examples from a range of programming including news, sitcoms, reality shows, and dramas. He looks at brand studies for networks such as E!, and examines how the brands of individuals such as showrunner Ryan Murphy can be tested. Both an analytical and practical work, the book includes sample questionnaires and paths for study moderators and research analysts to follow. Drawn from over fifteen years of experience in research departments at various media companies, Creating the Viewer looks toward the future of media viewership, discussing how the concept of the viewer has changed in the age of streaming, how services such as Netflix view market research, and how viewers themselves can shift the industry through their media choices, behaviors, and activities.