Seven Modes Of Uncertainty
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Seven Modes of Uncertainty
Author: C. Namwali Serpell
language: en
Publisher: Harvard University Press
Release Date: 2014-04-30
Literature is uncertain. Literature is good for us. These two ideas are often taken for granted. But what is the relationship between literature’s capacity to perplex and its ethical value? Seven Modes of Uncertainty contends that literary uncertainty is crucial to ethics because it pushes us beyond the limits of our experience.
Modes of Uncertainty
Author: Limor Samimian-Darash
language: en
Publisher: University of Chicago Press
Release Date: 2015-07-15
Modes of Uncertainty offers groundbreaking ways of thinking about danger, risk, and uncertainty from an analytical and anthropological perspective. Our world, the contributors show, is increasingly populated by forms, practices, and events whose uncertainty cannot be reduced to risk—and thus it is vital to distinguish between the two. Drawing the lines between them, they argue that the study of uncertainty should not focus solely on the appearance of new risks and dangers—which no doubt abound—but also on how uncertainty itself should be defined, and what the implications might be for policy and government. Organizing contributions from various anthropological subfields—including economics, business, security, humanitarianism, health, and environment—Limor Samimian-Darash and Paul Rabinow offer new tools with which to consider uncertainty, its management, and the differing modes of subjectivity appropriate to it. Taking up policies and experiences as objects of research and analysis, the essays here seek a rigorous inquiry into a sound conceptualization of uncertainty in order to better confront contemporary problems. Ultimately, they open the way for a participatory anthropology that asks crucial questions about our contemporary state.
Model Validation and Uncertainty Quantification, Volume 3
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools