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Evaluating Biosignatures for Life Detection

Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which...

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Detalles Bibliográficos
Autores principales: Pohorille, Andrew, Sokolowska, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591378/
https://www.ncbi.nlm.nih.gov/pubmed/32808814
http://dx.doi.org/10.1089/ast.2019.2151
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author Pohorille, Andrew
Sokolowska, Joanna
author_facet Pohorille, Andrew
Sokolowska, Joanna
author_sort Pohorille, Andrew
collection PubMed
description Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which depends on technology. Evaluation procedures are drawn from extensive studies in decision theory on related problems in business, engineering, medical fields, and the social arena. Three approaches are particularly useful. Two of them, Signal Detection Theory and Bayesian hypothesis testing, are based on probabilities. The third approach is based on utility theory. In all the frameworks, knowledge about a subject matter has to be translated into probabilities and/or utilities in a multistep process called elicitation. We present the first attempt to cover all steps, from acquiring knowledge about biosignatures to assigning probabilities or utilities to global quantities, such as false positives and false negatives. Since elicitation involves human judgment that is always prone to perceptual and cognitive biases, the relevant biases are discussed and illustrated in examples. We further discuss at which stage of elicitation human judgment should be involved to ensure the most reliable outcomes. An example, how evaluating biosignatures might be implemented, is given in the Supplementary Information.
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spelling pubmed-75913782020-10-28 Evaluating Biosignatures for Life Detection Pohorille, Andrew Sokolowska, Joanna Astrobiology Research Articles Conceptual frameworks are developed for evaluating the ability of different biosignatures to provide evidence for the presence of life in planned missions or observational studies. The focus is on intrinsic characteristics of biosignatures in space environments rather than on their detection, which depends on technology. Evaluation procedures are drawn from extensive studies in decision theory on related problems in business, engineering, medical fields, and the social arena. Three approaches are particularly useful. Two of them, Signal Detection Theory and Bayesian hypothesis testing, are based on probabilities. The third approach is based on utility theory. In all the frameworks, knowledge about a subject matter has to be translated into probabilities and/or utilities in a multistep process called elicitation. We present the first attempt to cover all steps, from acquiring knowledge about biosignatures to assigning probabilities or utilities to global quantities, such as false positives and false negatives. Since elicitation involves human judgment that is always prone to perceptual and cognitive biases, the relevant biases are discussed and illustrated in examples. We further discuss at which stage of elicitation human judgment should be involved to ensure the most reliable outcomes. An example, how evaluating biosignatures might be implemented, is given in the Supplementary Information. Mary Ann Liebert, Inc., publishers 2020-10-01 2020-10-09 /pmc/articles/PMC7591378/ /pubmed/32808814 http://dx.doi.org/10.1089/ast.2019.2151 Text en © Andrew Pohorille and Joanna Sokolowska, 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Research Articles
Pohorille, Andrew
Sokolowska, Joanna
Evaluating Biosignatures for Life Detection
title Evaluating Biosignatures for Life Detection
title_full Evaluating Biosignatures for Life Detection
title_fullStr Evaluating Biosignatures for Life Detection
title_full_unstemmed Evaluating Biosignatures for Life Detection
title_short Evaluating Biosignatures for Life Detection
title_sort evaluating biosignatures for life detection
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591378/
https://www.ncbi.nlm.nih.gov/pubmed/32808814
http://dx.doi.org/10.1089/ast.2019.2151
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