I am pleased to announce that Dr. Phaedra Daipha, whose first book I wrote about and enjoyed, will be a guest blogger on Installing (Social) Order this month (October, 2016). She is going to be telling us about her recent work in a new post every week or so. Personally, I am excited to learn more about her work about forecasting (weather forecasting, in this case) and especially her re-thinking of decision-making that extends in new directions previous models of “decision science” from the business school crowd, organizational analysis, and organization studies.
Dr. Daipha a cultural sociologist working at the intersection of STS, organization studies, and social theory. Her research agenda centers on the nature, practice, and institutions of knowledge and technology production, with an eye toward understanding the development and transformation of systems of expertise and the emergence of new forms of coordinated action. She has employed a number of methods and data sources to examine such diverse fields of knowledge and technology production as academic sociology, weather forecasting operations, the commercial fishing industry, and medical care.
Despite the diversity of method and empirical focus, however, her work consistently pursues the following substantive themes: decision making in complex sociotechnical systems; visualization and expertise; object-centered sociality; and professional boundary work. She has pursued these topics in a series of papers, culminating with her recent book,
Masters of Uncertainty: Weather Forecasters and the Quest for Ground Truth.
She is currently in the process of completing her forthcoming book, How Doctors Make Decisions: The Role of Prognosis in Cardiology Practice, based on two and a half years of comparative fieldwork. This book builds on her previously developed model of the process of decision making to highlight the practical, materialist, prospective, and situationist character of clinical judgment and care. But it also considerably extends her earlier conceptualization by applying it to a decision-making field that is interventionist (rather than consultative), that relies on cross-functional (rather than single-specialist) teamwork, and that operates within a significantly longer window of uncertainty.
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