A Decision ‐Centered Method to Evaluate Natural Hazards Decision Aids by Interdisciplinary Research Teams
AbstractThere is a growing number of decision aids made available to the general public by those working on hazard and disaster management. When based on high ‐quality scientific studies across disciplines and designed to provide a high level of usability and trust, decision aids become more likely to improve the quality of hazard risk management and response decisions. Interdisciplinary teams have a vital role to play in this process, ensuring the scie ntific validity and effectiveness of a decision aid across the physical science, social science, and engineering dimensions of hazard awareness, option identification, and the decisions made by individuals and communities. Often, these aids are not evaluated before being widely distributed, which co uld improve their impact, due to a lack of dedicated resources and guidance on how to systematically do so. In thisPerspective, we present a decision ‐centered method for evaluating the impact of hazard decision aids on decisionmaker preferences and choice during the design and development phase, drawing from the social and behavioral sciences and a value of information framework to inform the content, complexity, format, and overall evaluation of the decision aid. The first step involves quantifying the added value of the information contained in the decision aid. The second involves identifying the extent to which the decision aid is usable. Our method can be applied to a variety of hazards and disasters, and will allow inter...
This analysis found that HIV testing services supported by CDC funding are an important resource for identifying persons with new and previously diagnosed HIV infection who are not in care.Morbidity &Mortality Weekly Report
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The President has proposed a $38.7 billion budget for the National Institutes of Health in fiscal year (FY) 2021. This translates to a $3 billion or 7 percent cut in the agency’s funding compared to FY 2020. The NIH budget request includes a $50 million initiative to use artificial intelligence (AI) to develop a better understanding of the causes of chronic diseases and to identify early treatments. This plan is in line with the Administration’s “Industries of the Future” effort, which supports using and developing AI across sectors. The budget would provide $50 million for the Childhood Cancer ...
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