The Development and Use of Computational Tools in Forensic Science

4区生物学 Q2 Medicine

Human Biology Pub Date : 2019-05-17 DOI:10.1353/hub.2017.0056

D. Slice

引用次数: 0

Abstract

Modern computational resources make available a rich tool kit of statistical methods that can be applied to forensic questions. This tool kit is built on the foundation of statistical developments dating back to the 19th century. To fully and effectively exploit these developments, both the makers and users of software must be keenly aware of the quality, that is, the accuracy and precision, of the data being modeled or analyzed, and end users must be sufficiently familiar with the underlying theory to understand the process and results of any analysis or software they use. This is especially important for medicolegal personnel who might be called upon to testify in a court of law and be subject to cross-examination. With respect to the development of computational tools, it is increasingly important that they be made available as open-source code to avoid the pitfalls of commercial software support and the potential dependence of end users on orphaned software.

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法医学中计算工具的发展和使用

现代计算资源提供了丰富的统计方法工具包，可应用于法医问题。该工具包建立在19世纪统计发展的基础上。为了充分有效地利用这些发展，软件的制造者和用户都必须敏锐地意识到被建模或分析的数据的质量，即准确性和精度，最终用户必须充分熟悉基础理论，以理解他们使用的任何分析或软件的过程和结果。这对可能被要求在法庭上作证并接受交叉询问的医务人员尤其重要。关于计算工具的开发，越来越重要的是将它们作为开放源代码提供，以避免商业软件支持的陷阱和最终用户对孤立软件的潜在依赖。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Biology 生物-生物学

CiteScore

1.90

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Human Biology publishes original scientific articles, brief communications, letters to the editor, and review articles on the general topic of biological anthropology. Our main focus is understanding human biological variation and human evolution through a broad range of approaches. We encourage investigators to submit any study on human biological diversity presented from an evolutionary or adaptive perspective. Priority will be given to interdisciplinary studies that seek to better explain the interaction between cultural processes and biological processes in our evolution. Methodological papers are also encouraged. Any computational approach intended to summarize cultural variation is encouraged. Studies that are essentially descriptive or concern only a limited geographic area are acceptable only when they have a wider relevance to understanding human biological variation. Manuscripts may cover any of the following disciplines, once the anthropological focus is apparent: human population genetics, evolutionary and genetic demography, quantitative genetics, evolutionary biology, ancient DNA studies, biological diversity interpreted in terms of adaptation (biometry, physical anthropology), and interdisciplinary research linking biological and cultural diversity (inferred from linguistic variability, ethnological diversity, archaeological evidence, etc.).