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FORDISC

January 01, 1970

FORDISC is a software program created by Stephen Ousley and Richard Jantz.[1] It is designed to help forensic anthropologists investigate the identity of a deceased person by providing estimates of the person's size, ethnicity, and biological sex based on the osteological material recovered.

Features edit

FORDISC can estimate the sex, ancestry, and stature of a given skeleton via linear discriminant analysis of standard anthropometric measurements. Although created for use in forensic anthropology, many physical anthropologists are still using the program to determine the biological profile of skeletal remains that are considered archaeological in origin. However, the results acquired from such remains may be skewed, as FORDISC is primarily designed for modern populations, which may differ in some factors from historic ones.[2] The use of discriminant function analysis in FORDISC allows the user to sort individuals into specific groups that are defined by certain criteria. The discriminate function analysis "analyzes specific groups with known membership in discrete categories such as ancestry, language, sex, tribe or ancestry, and provides a basis for the classification of new individuals with unknown group membership."[3] FORDISC compares potential profiles to data contained in a database of skeletal measurements of modern humans.[4]

Databases edit

The data behind FORDISC largely originated from the Forensic Data Bank, which is contributed to by the University of Tennessee and other contributing institutions.[5] The Forensic Data Bank was created in 1986, through the use of a National Institute of Justice grant, and has gathered over 3400 cases. The Forensic Data Bank is a currently ongoing effort to record information about modern populations, primarily from forensic cases.

FORDISC's creators have also integrated W. W. Howells worldwide cranial data into the program, for the use of archaeological remains. Howell's craniometric data set consist of 2500 crania from 28 different populations around the world dating to the later Holocene, in which around 82 cranial measurements were obtained.[6]

Criticism edit

According to the authors of the program, some limitations should be taken into account when using this program. Some of these limitations include the fact that FORDISC will classify any unknown into the 'closest' group, this means that even if an individual's ethnic group or race is not represented in the database, the program will classify it to the 'closest' group. Another limitation involves classification using hybrid individuals and groups. The authors state that genetic exchange between groups can cause misclassifications due to gene overlap that can consist of two ancestral populations. Another limitation deal with the classification of individuals under the age of 18, this is due to the nature of physical anthropologists ability to assess age in subadults. However, the authors state that there are differences between subadults in different groups, but these differences tend to not correspond to differences seen in adults. Another limitation that the authors believe researchers should take into account is the fact that this program is based on measurements that are affected by "disease, disuse, treatment, or trauma." The measurement of affected bone(s) may produce inaccurate values, and therefore he classification will not reflect the correct population affinity.[7]

The last limitation deals with archaeological populations. This limitation is because most of the measurements in the data set that the classifications are based on in the program are from remains that are from the 20th century, and should not be used for classification of archaeological remains. This is because documented population differences and secular changes that have occurred throughout history. However, the inclusion of W. W. Howells craniometric data set has allowed researchers to classify archaeological remains because much of the data set comes from individuals from the 19th century.[7]

A 2009 study found that even in favourable circumstances, FORDISC 3.0 can be expected to classify no more than 1 per cent of specimens with confidence."[8] In 2012 research presented at the 81st Annual Meeting of the American Association of Physical Anthropologists concluded that FORDISC ancestry determination was not always consistent, that the program does not perform to expectations and that it should be used with caution.[9]

In 2012 research was presented at the 81st Annual Meeting of the American Association of Physical Anthropologists, which concluded FORDISC ancestry determination was not always consistent, and the programs' recommended acceptance criteria did not separate correct and incorrect determinations. The authors concluded that the program does not perform to expectations and should be used with caution.[10]

List of Contributing Institutions to the Forensic Anthropology Data Bank edit

[11]

See also edit

References edit

  1. ^ . Computer Weekly News. 31 May 2012. Archived from the original on 29 March 2015. Retrieved 27 November 2014.
  2. ^ Armelagos, George J. (2003). "A Century of Skeletal Biology and Paleopathology: Contrasts, Contradictions, and Conflicts". American Anthropologist. 105 (1): 53–64. doi:10.1525/aa.2003.105.1.53.
  3. ^ Ousley, Stephen; Jantz, Richard (2014). "Ch. 15: Fordisc 3 and Statistical Methods for Estimating Sex and Ancestry". In Dirkmaat, Dennis (ed.). A Companion to Forensic Anthropology. John Wiley & Sons. pp. 311–329.
  4. ^ Ousley, S.D., and R.L. Jantz (2005) FORDISC 3.0: Personal Computer Forensic Discriminant Functions. University of Tennessee 2008-07-05 at the Wayback Machine
  5. ^ Kelly, John (14 September 2006). . Washington Post. Archived from the original on 29 March 2015. Retrieved 27 November 2014.
  6. ^ Howells, WW. (1995). Who's Who in Skulls. Ethnic Identification of Crania from Measurements. Cambridge, Mass.: Peabody Museum.: Papers of the Peabody Museum of Archaeology and Ethnology. pp. vol. 82, pp. 108.
  7. ^ a b Ousley, Stephen, and Jantz, Richard. "Fordisc Help File, Version 1.35." Mercyhurst Archaeological Institute. http://math.mercyhurst.edu/~sousley/Fordisc/Help/Fordisc3_Help.pdf
  8. ^ Elliott, Marina; Collard, Mark (2009-11-11). "Fordisc and the determination of ancestry from cranial measurements". Biology Letters. 2009 (5). The Royal Society: 849–852. doi:10.1098/rsbl.2009.0462. PMC 2827999. PMID 19586965.
  9. ^ . meeting.physanth.org. Archived from the original on 2021-04-19. Retrieved 2015-10-22.
  10. ^ . meeting.physanth.org. Archived from the original on 2021-04-19. Retrieved 2015-10-22.
  11. ^ "UT Knoxville | Forensic Anthropology Center | Forensic Anthropology Data Bank 2015-10-29 at the Wayback Machine". fac.utk.edu. Retrieved 2015-11-15.

Further reading edit

  • Williams, Frank L'Engle. Robert L. Belcher, and George J. Armelagos. "Forensic Misclassification of Ancient Nubian Crania: Implications for Assumptions about Human Variation." Current Anthropology, Vol.46, No. 2 (April 2005), pp. 340–346.

External links edit

  • FORDISC 3.1 Support
  • The William W. Howell's Craniometric Data Set

January 01, 1970
fordisc, software, program, created, stephen, ousley, richard, jantz, designed, help, forensic, anthropologists, investigate, identity, deceased, person, providing, estimates, person, size, ethnicity, biological, based, osteological, material, recovered, conte. FORDISC is a software program created by Stephen Ousley and Richard Jantz 1 It is designed to help forensic anthropologists investigate the identity of a deceased person by providing estimates of the person s size ethnicity and biological sex based on the osteological material recovered Contents 1 Features 2 Databases 3 Criticism 4 List of Contributing Institutions to the Forensic Anthropology Data Bank 5 See also 6 References 7 Further reading 8 External linksFeatures editFORDISC can estimate the sex ancestry and stature of a given skeleton via linear discriminant analysis of standard anthropometric measurements Although created for use in forensic anthropology many physical anthropologists are still using the program to determine the biological profile of skeletal remains that are considered archaeological in origin However the results acquired from such remains may be skewed as FORDISC is primarily designed for modern populations which may differ in some factors from historic ones 2 The use of discriminant function analysis in FORDISC allows the user to sort individuals into specific groups that are defined by certain criteria The discriminate function analysis analyzes specific groups with known membership in discrete categories such as ancestry language sex tribe or ancestry and provides a basis for the classification of new individuals with unknown group membership 3 FORDISC compares potential profiles to data contained in a database of skeletal measurements of modern humans 4 Databases editThe data behind FORDISC largely originated from the Forensic Data Bank which is contributed to by the University of Tennessee and other contributing institutions 5 The Forensic Data Bank was created in 1986 through the use of a National Institute of Justice grant and has gathered over 3400 cases The Forensic Data Bank is a currently ongoing effort to record information about modern populations primarily from forensic cases FORDISC s creators have also integrated W W Howells worldwide cranial data into the program for the use of archaeological remains Howell s craniometric data set consist of 2500 crania from 28 different populations around the world dating to the later Holocene in which around 82 cranial measurements were obtained 6 Criticism editAccording to the authors of the program some limitations should be taken into account when using this program Some of these limitations include the fact that FORDISC will classify any unknown into the closest group this means that even if an individual s ethnic group or race is not represented in the database the program will classify it to the closest group Another limitation involves classification using hybrid individuals and groups The authors state that genetic exchange between groups can cause misclassifications due to gene overlap that can consist of two ancestral populations Another limitation deal with the classification of individuals under the age of 18 this is due to the nature of physical anthropologists ability to assess age in subadults However the authors state that there are differences between subadults in different groups but these differences tend to not correspond to differences seen in adults Another limitation that the authors believe researchers should take into account is the fact that this program is based on measurements that are affected by disease disuse treatment or trauma The measurement of affected bone s may produce inaccurate values and therefore he classification will not reflect the correct population affinity 7 The last limitation deals with archaeological populations This limitation is because most of the measurements in the data set that the classifications are based on in the program are from remains that are from the 20th century and should not be used for classification of archaeological remains This is because documented population differences and secular changes that have occurred throughout history However the inclusion of W W Howells craniometric data set has allowed researchers to classify archaeological remains because much of the data set comes from individuals from the 19th century 7 A 2009 study found that even in favourable circumstances FORDISC 3 0 can be expected to classify no more than 1 per cent of specimens with confidence 8 In 2012 research presented at the 81st Annual Meeting of the American Association of Physical Anthropologists concluded that FORDISC ancestry determination was not always consistent that the program does not perform to expectations and that it should be used with caution 9 In 2012 research was presented at the 81st Annual Meeting of the American Association of Physical Anthropologists which concluded FORDISC ancestry determination was not always consistent and the programs recommended acceptance criteria did not separate correct and incorrect determinations The authors concluded that the program does not perform to expectations and should be used with caution 10 List of Contributing Institutions to the Forensic Anthropology Data Bank editAppalachian State University C A Pound Human Identification Laboratory California State University Chico College of Mt Joseph Colorado College Faculty of Dentistry University of Sao Paulo Hamilton County Medical Examiner s Office Chattanooga Tennessee Hamline University Honolulu Medical Examiner s Office Louisiana State University Lucas County Coroner s Office Mercyhurst Archaeological Institute Monterey County Sheriff s Department New Jersey State Police Criminal Investigation Bureau North Dakota Medical Examiner North Carolina Medical Examiners Office Chapel Hill Office of the Medical Examiner Nashville Tennessee Regional Forensic Center Memphis Tennessee Smithsonian Institution Southwest Texas State University Texas Tech University U L M U S Army Central Identification Laboratory University of Alabama University of Arizona University of Arkansas Fayetteville University of California Santa Cruz University of Hawaii University of Indianapolis University of New Mexico University of South Carolina University of South Florida University of Utah University of Wyoming Western Michigan University Wichita State University 11 See also editForensic anthropology Biological anthropology Bioarchaeology Cranid OsteowareReferences edit Dennis Dirkmaat publishes new book on forensic anthropology Computer Weekly News 31 May 2012 Archived from the original on 29 March 2015 Retrieved 27 November 2014 Armelagos George J 2003 A Century of Skeletal Biology and Paleopathology Contrasts Contradictions and Conflicts American Anthropologist 105 1 53 64 doi 10 1525 aa 2003 105 1 53 Ousley Stephen Jantz Richard 2014 Ch 15 Fordisc 3 and Statistical Methods for Estimating Sex and Ancestry In Dirkmaat Dennis ed A Companion to Forensic Anthropology John Wiley amp Sons pp 311 329 Ousley S D and R L Jantz 2005 FORDISC 3 0 Personal Computer Forensic Discriminant Functions University of Tennessee Archived 2008 07 05 at the Wayback Machine Kelly John 14 September 2006 Couple Fleshes Out Skeletons Past Washington Post Archived from the original on 29 March 2015 Retrieved 27 November 2014 Howells WW 1995 Who s Who in Skulls Ethnic Identification of Crania from Measurements Cambridge Mass Peabody Museum Papers of the Peabody Museum of Archaeology and Ethnology pp vol 82 pp 108 a b Ousley Stephen and Jantz Richard Fordisc Help File Version 1 35 Mercyhurst Archaeological Institute http math mercyhurst edu sousley Fordisc Help Fordisc3 Help pdf Elliott Marina Collard Mark 2009 11 11 Fordisc and the determination of ancestry from cranial measurements Biology Letters 2009 5 The Royal Society 849 852 doi 10 1098 rsbl 2009 0462 PMC 2827999 PMID 19586965 Poster Elliott and Collard 2012 Going head to head FORDISC vs CRANID in the determination of ancestry from craniometric data meeting physanth org Archived from the original on 2021 04 19 Retrieved 2015 10 22 Poster Elliott and Collard 2012 Going head to head FORDISC vs CRANID in the determination of ancestry from craniometric data meeting physanth org Archived from the original on 2021 04 19 Retrieved 2015 10 22 UT Knoxville Forensic Anthropology Center Forensic Anthropology Data Bank Archived 2015 10 29 at the Wayback Machine fac utk edu Retrieved 2015 11 15 Further reading editWilliams Frank L Engle Robert L Belcher and George J Armelagos Forensic Misclassification of Ancient Nubian Crania Implications for Assumptions about Human Variation Current Anthropology Vol 46 No 2 April 2005 pp 340 346 External links editFORDISC website FORDISC 3 1 Support Forensic Anthropology Data Bank The William W Howell s Craniometric Data Set Retrieved from https en wikipedia org w index php title FORDISC amp oldid 1215976382, wikipedia, wiki, book, books, library,

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