"The thesis of this book is that sociopolitical phenomena, including those that are represented, coded, even quantified as empirical data, should be approached with the same degree of close, particularist, context-sensitive attention and the same kind ofethical responsibility as that accorded to poetic (literary) texts. Such an approach not only dissolves naive binaries like objective/subjective and empirical/nonempirical but allows deeper awareness of their marginalized and subaltern dimensions. Drawing on resources from decolonial, poststructural, and critical theory, literary texts, historical narratives, DH analytics, and empirical social science, political theorist Andrew Davison challenges basic presuppositions about objectivity, originality, and data and demonstrates the intellectual and ideological value of inter-/transdisciplinary analytical techniques"--
What would it look like to approach data with the care and attentiveness that we bring to a poem? Andrew Davison proposes a new philosophy of data modeled on the affective and ethical qualities of the encounter between a reader and a literary text and demonstrates its significance for understanding urgent social and political issues.
In a cross-disciplinary engagement with philosophical, literary, and political-theoretical accounts of poetic experience, Close Encounters challenges the philosophical underpinnings of dominant approaches to data analysis. Instead, Davison argues, social scientists should treat their data with the same close attention and ethical responsibility that are accorded to literary texts. In this view, quantitative and qualitative data are not only collected, coded, or constructedthey are entrusted to the care of their recipient. Such attunement yields original insight into silenced, erased, and neglected subaltern dimensions of the data. Davison demonstrates how this methodology provides fresh perspective on pressing topics such as immigration, border politics, torture, war, Trumpism, violent political speech, medical care, criminal justice, algorithmic governance, and the COVID-19 pandemic. Bringing together a strikingly original theorization of data with a rich array of examples, Close Encounters shows why the skills and methods of literary inquiry are essential to ethically sensitive data analysis.
Andrew Davison proposes a new philosophy of data modeled on the affective and ethical qualities of the encounter between a reader and a literary text and demonstrates its significance for understanding urgent social and political issues.
