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Law Enforcement Use of Probabilistic Genotyping, Forensic DNA Phenotyping, and Forensic Investigative Genetic Genealogy Technologies : Proceedings of a Workshop.

National Academies Press Available online

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Format:
Book
Author/Creator:
Forstag, Erin Hammers.
Contributor:
National Academies of Sciences, Engineering, and Medicine
Division on Engineering and Physical Sciences
Division of Behavioral and Social Sciences and Education
Computer Science and Telecommunications Board
Committee on Law and Justice
Erin Hammers Forstag
Language:
English
Subjects (All):
Forensic genetics.
Genetic genealogy.
Physical Description:
1 online resource (135 pages)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : National Academies Press, 2025.
Summary:
This book captures the proceedings of a workshop focused on the use of advanced forensic technologies in law enforcement, including probabilistic genotyping, forensic DNA phenotyping, and forensic investigative genetic genealogy. It explores the scientific, ethical, and legal implications of these technologies, with contributions from experts in statistics, law, and forensic science. The publication aims to inform policymakers, researchers, and practitioners about the potential and challenges of incorporating these tools into investigative processes. It emphasizes the importance of evidence-based practices and interdisciplinary collaboration in addressing complex issues surrounding crime and justice. Generated by AI.
Contents:
Intro
FrontMatter
Acknowledgments
Reviewers
Contents
Boxes, Figures, and Table
Acronyms and Abbreviations
1 Public Trust and the Landscape of Law Enforcement Use of Advanced Forensic DNA Technologies
2 Forensic Investigative Genetic Genealogy
3 Probabilistic Genotyping
4 Forensic DNA Phenotyping
5 Learning from Abroad
6 Moving Forward: Priorities for Research and Funding
References
Appendix A: Public Meeting Agendas
Appendix B: Workshop Planning Committee and Speaker Biographies
Appendix C: Bibliography for Workshop Speaker Presentations.
Notes:
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
0-309-72365-5
OCLC:
1485002365

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