Important! Project Archived and Moved

This desktop application project has been discontinued. The project has a new home at https://mamdanalytical.com/. All future updates will take place at that location.

Using the desktop application is at your own risk and may provide inaccurate results.

MaMD Analytical

MaMD Analytical uses an artificial neural network (aNN) to classify an unknown cranium into a reference group. The reference data are housed in the Macromorphoscopic Databank, established in 2018 by Hefner (2018).

Grant Funding

National Institute of Justice (NIJ) Award # 2015-DN-BX-K012: A Macromorphoscopic Databank: Establishing the Statistical Analysis of Macromorphoscopic Data in Forensic Anthropology. PI: JT Hefner

Research Collections

The research team would like to thank the following individuals and institutions that provided access to skeletal collections. The list includes locations of NIJ-funded research that contributed directly to this software, as well as essential pilot studies and other contributing research conducted by the research team over many years.

• Drs. Bruce Anderson and Jennifer Vollner – Pima County Office of the Medical Examiner, AZ
• Drs. David Hunt and Christopher J. Dudar – National Museum of Natural History, Smithsonian Institution, Washington D.C.
• Dr. Heather Edgar – Maxwell Museum, University of New Mexico
• Dr. Janet M. Monge – Physical Anthropology Section, Penn Museum, Philadelphia, PA
• Drs. Lee Meadows-Jantz, Richard L. Jantz, and Dawnie Steadman – UTK Donated Collection; University of Tennessee, Knoxville, TN
• Dr. M. Kate Spradley – Donated Skeletal Collection, Texas State University, San Marcos, TX
• Dr. Nawaporn Techataweewan – Khon Kaen, Khon Kaen University
• Dr. Rachel Ives – Natural History Museum of London
• Dr. Rebecca Redfern and Jelena Bekvalac – Centre for Human Bioarchaeology, Museum of London
• Dr. Todd W. Fenton – the Mis Island Medieval Nubian Skeletal Collection and the Donated Skeletal Collection, Michigan State University, East Lansing
• Dr. Yohannes Haile-Selassie and Lyman Jellema – Hamann-Todd Skeletal Collection, Cleveland Museum of Natural History

Research Contributors

The research team would also like to thank the following individuals who contributed to the data collection process for the MaMD:

• Centre for Human Bioarchaeology, Museum of London – Micayla Spiros, Rebecca Redfern
• Hamman-Todd Collection – Grace Kilroy, Michael Kenyhercz, Alexandra Klales
• Khon Kaen University – Amber Plemons, Kelly Kamnikar, Emily Streetman, Kandus Linde
• Maxwell Museum – Felicia Wun, Kelly Kamnikar
• Mis Island, Nubia Collection – Maureen Moffitt
• Natural History Museum of London – Amber Plemons
• PCOME – Caitlin Vogelsberg, Bruce Anderson, Jennifer Vollner, Felicia Wun
• Penn Museum – Melody Ratliff
• Smithsonian – Repatriation Office Staff, Christopher Dudar, Melody Ratliff, Steven Ousley, Ericka B. Jones, Paul Emanovsky
• Texas State University – Amber Plemons, Kelly Kamnikar, Felicia Wun, Cassidy Skipper
• University of Tennessee – Kelly Kamnikar, Micayla Spiros, Felicia Wun
• La Verbena Cemetery, Guatemala – Cullen Black

State of Application -- Beta version 0.3.15 (January 2020)

The current version of MaMD Analytical (v0.3.15) is not the final application for public release. This version is available for download and, while the in-house alpha testing of the program has been successful, beta testing by external groups for validation may identify heretofore unknown issues in design or analysis. The research team welcomes beta testing via GitHub, to provide answers to technicalities that may arise following the public release of MaMD Analytical; and, just as importantly, beta testing will also deliver insight into the features that should be added or avoided prior to and following public release. MaMD Analytical should not be used for forensic casework or for validation research at this time without discussions with Dr. Joseph Hefner. The research team requests any feedback noted during beta testing of the MaMD Analytical Tool.

Installation

macOS 10.10+, Linux, and Windows 7+ are supported (64-bit only).

macOS

Download the .dmg file.

Windows

Download the .exe file.