The National Research Council Report on Blood Transfusion Services in the United States

Author(s):  
S. Swisher
2015 ◽  
Vol 370 (1674) ◽  
pp. 20140259 ◽  
Author(s):  
Christophe Champod

This paper will discuss the major developments in the area of fingerprint identification that followed the publication of the National Research Council (NRC, of the US National Academies of Sciences) report in 2009 entitled: Strengthening Forensic Science in the United States: A Path Forward. The report portrayed an image of a field of expertise used for decades without the necessary scientific research-based underpinning. The advances since the report and the needs in selected areas of fingerprinting will be detailed. It includes the measurement of the accuracy, reliability, repeatability and reproducibility of the conclusions offered by fingerprint experts . The paper will also pay attention to the development of statistical models allowing assessment of fingerprint comparisons. As a corollary of these developments, the next challenge is to reconcile a traditional practice dominated by deterministic conclusions with the probabilistic logic of any statistical model. There is a call for greater candour and fingerprint experts will need to communicate differently on the strengths and limitations of their findings. Their testimony will have to go beyond the blunt assertion of the uniqueness of fingerprints or the opinion delivered ispe dixit .


2017 ◽  
Vol 63 (1) ◽  
pp. 110-114
Author(s):  
Martin Milkman ◽  
Riza Marjadi

This article presents an analysis of the mathematics course requirements and recommendations for prospective students seeking entry into economics PhD programs in the United States. We find that applicants must complete seven mathematics courses to safely assume that they have enough math credits for admission to most programs. Using National Research Council (NRC) rankings of economics departments according to the level of research activity, we find no strong evidence that the mathematics courses required and recommended are dependent upon the level of academic research conducted by the faculty in the respective PhD programs. JEL Classifications: A22, A23


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