I have always been fascinated by the ​hidden forces that shape the behavior of individuals, organizations, and communities. In fact, my entire career can be summed up as an effort to unearth and understand what makes people tick.
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The thrust of my academic research, first as graduate student at the University of Chicago and then as professor at Rutgers University, has been about developing a more socially situated approach to decision analysis. Using a barrage of qualitative and mixed-method techniques, I expose the powerful impact the social environment has on individual behaviors and choices. And I integrate the strengths of competing theoretical perspectives (American pragmatism, behavioral economics, cognitive psychology, cultural sociology, organizational analysis, science and technology studies) to offer a framework for auditing real-world uncertainty management that can be exported and applied to a variety of complex systems and expertise domains.
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This line of research casts into new light how information workers make decisions in the digital age and has received several recognitions, including the 2017 CITAMS Book Award by the American Sociological Association for my book, Masters of Uncertainty: Weather Forecasters and the Quest for Ground Truth. My latest book project, tentatively titled How Doctors Make Decisions: The Role of Prognosis in Cardiology Practice, continues to pursue a sociologically-informed approach to decision analysis – this time through an ethnography of hospital cardiologists at work. Specifically, I am uncovering and fleshing out mechanisms of medical decision making against different time horizons, from emergency and acute care to follow-up and chronic care.
RESEARCH INTERESTS
Knowledge Economy
professions, workplace transformation, automation
Qualitative and Mixed Methods
observation/evaluation, interviews/focus groups, survey, archival, multistage
Risk and Uncertainty Management
decision making, prospective action, disaster mitigation
Health Care
medical diagnosis & prognosis, patient engagement
Public Understanding of Science
lay expertise, risk communication, practical knowledge
Organizational Behavior
group culture, adaptive problem solving, institutional change
Visualization and Expertise
screenwork, sense making, creativity, big data
User Experience
technology development, consumption, museum design