Estimating sex and age at death are two crucial processes during the creation of a biological profile for a set of skeletal remains. Whether the remains are archaeological or forensic, estimating the sex and age of the individual is necessary for further analysis and interpretation. Specifically, in a medicolegal context, knowing the biological sex and approximate age of the remains assists law enforcement or government agencies in identifying unknown individuals. Since the inception of the field of forensic anthropology, practitioners have been developing methods to perform the aforementioned tasks. It is crucial that these methods be consistent, repeatedly tested, validated, and improved for multiple reasons. Firstly, to conform to Daubert (1993) standards, and additionally, to make sure that they are accurate and applicable to modern forensic cases. The present study was performed to validate the efficacy of the method for estimating sex from the os pubis originally proposed in Klales et al. (2012), as well as the efficacy of the “transition analysis” method for estimating age, originally outlined in Boldsen et al. (2002). Considering the recent popularity of using these methods to create a biological profile for forensic cases, it is necessary to develop error rates on a large, modern, American autopsy sample. These two methods are not only being readily utilized, but are additionally being taught to students in training. The utilization of these models involves a “logistic regression model” created by Klales et. al (2012) to process ordinal scores, and the Bayesian statistics software program “ADBOU” that was created for processing data collected using the method in Boldsen et. al (2002). These statistical systems which produced age estimates are relatively young compared to methods developed for the same purpose. The new generation of forensic anthropologists is fully responsible for objectively critiquing and validating these methods that are being disseminated by their professors and senior practitioners. The goal of the present study is to do just that. A skeletal reference sample of 630 pubic bones, all removed from modern autopsy cases and housed at the Maricopa County Forensic Science Center in Phoenix, Arizona, was utilized for data collection in the present study. Each pubic bone was assessed and scored according to the exact instructions outlined in the materials for each method, which was the Klales et al. (2012) paper for sex estimation, and the UTK Data Collection Procedures for Forensic Skeletal Material 2.0 for age estimation (Langley et al. 2016). Additionally, the observers recorded their “gestalt” estimates for sex using the Phenice (1969) system, as well as Brooks and Suchey (1990) and Hartnett (2010a) phases for each pubis. Demographic information labels were hidden, and the collection demographic information was not viewed until the completion of data collection. The null hypothesis in the present study is that both methods (the Klales et al. method (2012) and “transition analysis” method (Boldsen et al. 2002) will perform as well as they did in the original studies. The alternate hypothesis is that they do not result in the same accuracy rates reported in the original studies. Statistical analysis of the data indicates that there is sufficient evidence to reject the null hypothesis as it applies to the Klales et al. (2012) method. The classification accuracies achieved applying the logistic regression equation to the sample of pubic bones was found to be significantly lower than reported in the original study (86.2%), averaging around 70% between observers. The level of both intraobserver and interobserver agreement was only moderate for this method. It was also found that asymmetry occurred in some individuals, producing differing estimates of sex when the left and right pubes were scored separately. When utilizing the Boldsen et al. (2012) method and the ADBOU software package on only pubic symphyseal components to estimate age, the method was found to perform reasonably well. The majority (about 82%) of individuals had actual ages at death that fell within the predicted range produced by the statistical analysis. The majority of the symphyseal component scores showed moderate to good levels of interobserver agreement, and the estimated maximum likelihood (point estimate) of age at death predicted by the software package correlated moderately well with the actual age of death of the individual. These methods did not perform as well as reported in the original studies, and they should be further validated and recalibrated to improve their accuracy and reliability.

Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 317-335).

Published in 2007, the Personality Assessment Inventory – Adolescent (PAI-A) is rapidly becoming a widely used adolescent personality measure in psychological assessment, particularly with forensic/delinquent adolescents. The literature indicates forensic adolescent males differ in many domains from non-forensic adolescent males. It is important in adolescent forensic assessment research to align the PAI-A with the empirical literature. The goal of this literature review is understand the utility of the PAI-A for use with forensic adolescent males and provide a foundation for future research with the PAI-A and adolescent males. Particularly, this literature review seeks to identify particular PAI-A scales that are potentially descriptive of one’s forensic status and combine prior research findings to delineate among inherent characteristics of forensic violent, forensic non-violent and non-forensic community adolescent males. / text

published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy

A wealth of research has highlighted the susceptibility of eyewitnesses to verbal influence. However, considerably less attention has been paid to the role of nonverbal influence in police questioning. The purpose of this thesis was to evaluate the extent to which gestures can exert an influence on witnesses and skew their responses when questioned. Study 1 initially investigated this by presenting participants with an on-screen 'police' interviewer who accompanied his questions with gestures conveying either accurate or misleading information about a piece of video footage they had witnessed. Results showed that, for one question in particular, participants' responses concurred with the information conveyed to them in gesture; accurate gestures led more participants to giving correct responses and misleading gestures led more participants to giving fabricated responses. Study 2 built on this by examining whether gestures could also affect the confidence attributed to their responses in order to give insight into whether gestures were knowingly processed for information. It was found that, in some cases, gestures were able to increase confidence in both accurate and misled responses. Study 3 examined participants' awareness of gesture further by studying their attention to gesture during its performance and ability to identify it retrospectively on a recognition task. A new set of questions confirmed that gestures could influence the responses of participants (including those working in the legal profession) and revealed that the influence of gesture appears to be at its strongest when unnoticed by participants. Finally, study 4 considered whether the results of the previous studies could be replicated in a more ecologically valid interview scenario and confirmed that gestures continued to be influential when performed face-to-face. Overall, it was concluded that gestures can impact accurate eyewitness testimony and can be a powerful influential tool in police interviews.

CSI at UBC: How David Sweet is using dental forensics to pit modern science against criminals.

Digital Forensics (DF) is defined as the ensemble of methods, tools and techniques used to collect, preserve and analyse digital data originating from any type of digital media involved in an incident with the purpose of extracting valid evidence for a court of law. DF investigations are usually performed as a response to a digital crime and, as such, they are termed Reactive Digital Forensic (RDF). An RDF investigation takes the traditional (or post-mortem) approach of investigating digital crimes after incidents have occurred. This involves identifying, preserving, collecting, analyzing, and generating the final report. Although RDF investigations are effective, they are faced with many challenges, especially when dealing with anti-forensic incidents, volatile data and event reconstruction. To tackle these challenges, Proactive Digital Forensic (PDF) is required. By being proactive, DF is prepared for incidents. In fact, the PDF investigation has the ability to proactively collect data, preserve it, detect suspicious events, analyze evidence and report an incident as it occurs. This dissertation focuses on the detection and analysis phase of the proactive investigation system, as it is the most expensive phase of the system. In addition, theories behind such systems will be discussed. Finally, implementation of the whole proactive system will be tested on a botnet use case (Zeus). / Graduate / 0984 / 0537 / soltanalharbi@hotmail.com

Digital Forensics (DF) is defined as the ensemble of methods, tools and techniques used to collect, preserve and analyse digital data originating from any type of digital media involved in an incident with the purpose of extracting valid evidence for a court of law. DF investigations are usually performed as a response to a digital crime and, as such, they are termed Reactive Digital Forensic (RDF). An RDF investigation takes the traditional (or post-mortem) approach of investigating digital crimes after incidents have occurred. This involves identifying, preserving, collecting, analyzing, and generating the final report. Although RDF investigations are effective, they are faced with many challenges, especially when dealing with anti-forensic incidents, volatile data and event reconstruction. To tackle these challenges, Proactive Digital Forensic (PDF) is required. By being proactive, DF is prepared for incidents. In fact, the PDF investigation has the ability to proactively collect data, preserve it, detect suspicious events, analyze evidence and report an incident as it occurs. This dissertation focuses on the detection and analysis phase of the proactive investigation system, as it is the most expensive phase of the system. In addition, theories behind such systems will be discussed. Finally, implementation of the whole proactive system will be tested on a botnet use case (Zeus). / Graduate / 0984 / 0537 / soltanalharbi@hotmail.com

Where the investigation into computer-based crime occurs between two or more countries, there is a need for the two teams to understand the legal and cultural differences between them. Whilst the legal differences are written, interpreted and can be made explicit, there is less knowledge on the cultural differences between two countries, working in an emerging scientific field. The outcomes of this research directly compare the Australian and Taiwanese cultures as they apply to the field of computer forensics. As such, the most tangible outcome is a framework for Australian and Taiwanese law enforcement, forensic science community, and the court. / The suggestions for cross-cultural, cross-border and collaborative digital forensic investigations can be provided based on the discoveries of this research. This thesis essentially helps the mutual understanding between Australian and Taiwanese computer forensic investigators. The understanding is able to improve the chances of success of future cooperation between Australia and Taiwan. / Thesis (PhD)--University of South Australia, 2008.

Thesis (MSc.(Anatomy)--Faculty of Health Sciences)-University of Pretoria, 2008. / Summary in English and Afrikaans. Includes bibliographical references.