Whose DNA is this? How relevant a question? (a note for forensic scientists).

This communication seeks to draw the attention of researchers and practitioners dealing with forensic DNA profiling analyses to the following question: is a scientist's report, offering support to a hypothesis according to which a particular individual is the source of DNA detected during the analysis of a stain, relevant from the point of view of a Court of Justice? This question relates to skeptical views previously voiced by commentators mainly in the judicial area, but is avoided by a large majority of forensic scientists. Notwithstanding, the pivotal role of this question has recently been evoked during the international conference "The hidden side of DNA profiles. Artifacts, errors and uncertain evidence" held in Rome (April 27th to 28th, 2012). Indeed, despite the fact that this conference brought together some of the world's leading forensic DNA specialists, it appeared clearly that a huge gap still exists between questions lawyers are actually interested in, and the answers that scientists deliver to Courts in written reports or during oral testimony. Participants in the justice system, namely lawyers and jurors on the one hand and forensic geneticists on the other, unfortunately talk considerably different languages. It thus is fundamental to address this issue of communication about results of forensic DNA analyses, and open a dialogue with practicing non-scientists at large who need to make meaningful use of scientific results to approach and help solve judicial cases. This paper intends to emphasize the actuality of this topic and suggest beneficial ways ahead towards a more reasoned use of forensic DNA in criminal proceedings.

Forensic intelligence for medicine anti-counterfeiting

Medicine counterfeiting is a crime that has increased in recent years and now involves the whole world. Health and economic repercussions have led pharmaceutical industries and agencies to develop many measures to protect genuine medicines and differentiate them from counterfeits. Detecting counterfeit is chemically relatively simple for the specialists, but much more information can be gained from the analyses in a forensic intelligence perspective. Analytical data can feed criminal investigation and law enforcement by detecting and understanding the criminal phenomenon. Profiling seizures using chemical and packaging data constitutes a strong way to detect organised production and industrialised forms of criminality, and is the focus of this paper. Thirty-three seizures of a commonly counterfeited type of capsule have been studied. The results of the packaging and chemical analyses were gathered within an organised database. Strong linkage was found between the seizures at the different production steps, indicating the presence of a main counterfeit network dominating the market. The interpretation of the links with circumstantial data provided information about the production and the distribution of counterfeits coming from this network. This forensic intelligence perspective has the potential to be generalised to other types of products. This may be the only reliable approach to help the understanding of the organised crime phenomenon behind counterfeiting and to enable efficient strategic and operational decision making in an attempt to dismantle counterfeit network.

Perspectives for Forensic Intelligence in anti-doping: Thinking outside of the box.

Today's approach to anti-doping is mostly centered on the judicial process, despite pursuing a further goal in the detection, reduction, solving and/or prevention of doping. Similarly to decision-making in the area of law enforcement feeding on Forensic Intelligence, anti-doping might significantly benefit from a more extensive gathering of knowledge. Forensic Intelligence might bring a broader logical dimension to the interpretation of data on doping activities for a more future-oriented and comprehensive approach instead of the traditional case-based and reactive process. Information coming from a variety of sources related to doping, whether directly or potentially, would feed an organized memory to provide real time intelligence on the size, seriousness and evolution of the phenomenon. Due to the complexity of doping, integrating analytical chemical results and longitudinal monitoring of biomarkers with physiological, epidemiological, sociological or circumstantial information might provide a logical framework enabling fit for purpose decision-making. Therefore, Anti-Doping Intelligence might prove efficient at providing a more proactive response to any potential or emerging doping phenomenon or to address existing problems with innovative actions or/and policies. This approach might prove useful to detect, neutralize, disrupt and/or prevent organized doping or the trafficking of doping agents, as well as helping to refine the targeting of athletes or teams. In addition, such an intelligence-led methodology would serve to address doping offenses in the absence of adverse analytical chemical evidence.

E-learning initiatives in forensic interpretation: report on experiences from current projects and outlook

This paper reports on the purpose, design, methodology and target audience of E-learning courses in forensic interpretation offered by the authors since 2010, including practical experiences made throughout the implementation period of this project. This initiative was motivated by the fact that reporting results of forensic examinations in a logically correct and scientifically rigorous way is a daily challenge for any forensic practitioner. Indeed, interpretation of raw data and communication of findings in both written and oral statements are topics where knowledge and applied skills are needed. Although most forensic scientists hold educational records in traditional sciences, only few actually followed full courses that focussed on interpretation issues. Such courses should include foundational principles and methodology - including elements of forensic statistics - for the evaluation of forensic data in a way that is tailored to meet the needs of the criminal justice system. In order to help bridge this gap, the authors' initiative seeks to offer educational opportunities that allow practitioners to acquire knowledge and competence in the current approaches to the evaluation and interpretation of forensic findings. These cover, among other aspects, probabilistic reasoning (including Bayesian networks and other methods of forensic statistics, tools and software), case pre-assessment, skills in the oral and written communication of uncertainty, and the development of independence and self-confidence to solve practical inference problems. E-learning was chosen as a general format because it helps to form a trans-institutional online-community of practitioners from varying forensic disciplines and workfield experience such as reporting officers, (chief) scientists, forensic coordinators, but also lawyers who all can interact directly from their personal workplaces without consideration of distances, travel expenses or time schedules. In the authors' experience, the proposed learning initiative supports participants in developing their expertise and skills in forensic interpretation, but also offers an opportunity for the associated institutions and the forensic community to reinforce the development of a harmonized view with regard to interpretation across forensic disciplines, laboratories and judicial systems.

Automated DNA extraction using the QIAsymphony platform: Estimation of DNA recovery from simulated forensic stains

The aim of this study was to evaluate the forensic protocol recently developed by Qiagen for the QIAsymphony automated DNA extraction platform. Samples containing low amounts of DNA were specifically considered, since they represent the majority of samples processed in our laboratory. The analysis of simulated blood and saliva traces showed that the highest DNA yields were obtained with the maximal elution volume available for the forensic protocol, that is 200 ml. Resulting DNA extracts were too diluted for successful DNA profiling and required a concentration. This additional step is time consuming and potentially increases inversion and contamination risks. The 200 ml DNA extracts were concentrated to 25 ml, and the DNA recovery estimated with real-time PCR as well as with the percentage of SGM Plus alleles detected. Results using our manual protocol, based on the QIAamp DNA mini kit, and the automated protocol were comparable. Further tests will be conducted to determine more precisely DNA recovery, contamination risk and PCR inhibitors removal, once a definitive procedure, allowing the concentration of DNA extracts from low yield samples, will be available for the QIAsymphony.

Intelligence-led crime scene processing. Part I : Forensic intelligence.

Forensic science is generally defined as the application of science to address questions related to the law. Too often, this view restricts the contribution of science to one single process which eventually aims at bringing individuals to court while minimising risk of miscarriage of justice. In order to go beyond this paradigm, we propose to refocus the attention towards traces themselves, as remnants of a criminal activity, and their information content. We postulate that traces contribute effectively to a wide variety of other informational processes that support decision making inmany situations. In particular, they inform actors of new policing strategies who place the treatment of information and intelligence at the centre of their systems. This contribution of forensic science to these security oriented models is still not well identified and captured. In order to create the best condition for the development of forensic intelligence, we suggest a framework that connects forensic science to intelligence-led policing (part I). Crime scene attendance and processing can be envisaged within this view. This approach gives indications abouthowto structure knowledge used by crime scene examiners in their effective practice (part II).

La pertinence en science forensique. Une (en)quête épistémologique et empirique

A criminal investigation requires to search and to interpret vestiges of a criminal act that happened in a past time. The forensic investigator arises in this context as a critical reader of the investigation scene, in search of physical traces that should enable her to tell a story of the offence/crime which allegedly occurred. The challenge of any investigator is to detect and recognise relevant physical traces in order to provide forensic clues for investigation and intelligence purposes. Inspired by this obser- vation, the current research focuses on the following questions : What is a relevant physical trace? And, how does the forensic investigator know she is facing one ? The interest of such questions is to provide a definition of a dimension often used in forensic science but never studied in its implications and operations. This doctoral research investigates scientific paths that are not often explored in forensic science, by using semiotic and sociological tools combined with statistical data analysis. The results are shown following a semiotic path, strongly influenced by Peir- ce's studies, and a second track, called empirical, where investigations data were analysed and forensic investigators interviewed about their work practices in the field. By the semiotic track, a macroscopic view is given of a signification process running from the discove- red physical trace at the scene to what is evaluated as being relevant for the investigator. The physical trace is perceived in the form of several signs, whose meaning is culturally codified. The reasoning should consist of three main steps : 1- What kind of source does the discovered physical trace refer to ? 2- What cause/activity is at the origin of this source in the specific context of the case ? 3- What story can be told from these observations ? The stage 3 requires to reason in creating hypotheses that should explain the presence of the discovered trace coming from an activity ; the specific activity that is related to the investigated case. To validate this assumption, it would depend on their ability to respond to a rule of relevancy. The last step is the symbolisation of the relevancy. The rule would consist of two points : the recognition of the factual/circumstantial relevancy (Is the link between the trace and the case recognised with the formulated hypothesis ? ) and appropriate relevancy (What investment is required to collect and analyse the discovered trace considering the expected outcome at the investigation/intelligence level?). This process of meaning is based on observations and a conjectural reasoning subject to many influences. In this study, relevancy in forensic science is presented as a conventional dimension that is symbolised and conditioned by the context, the forensic investigator's practice and her workplace environment (culture of the place). In short, the current research states relevancy results of the interactions between parameters from situational, structural (or organisational) and individual orders. The detection, collection and analysis of relevant physical traces at scenes depends on the knowledge and culture mastered by the forensic investigator. In the study of the relation relevant trace-forensic investigator, this research introduces the KEE model as a conceptual map that illustrates three major areas of forensic knowledge and culture acquisition, involved in the research and evaluation of the relevant physical trace. Through the analysis of the investigation data and interviews, the relationship between those three parameters and the relevancy was highlighted. K, for knowing, embodies a rela- tionship to the immediate knowledge allowing to give an overview of the reality at a specific moment ; an important point since relevancy is signified in a context. E, for education, is considered through its relationship with relevancy via a culture that tends to become institutionalised ; it represents the theoretical knowledge. As for the parameter E, for experience, it exists in its relation to relevancy in the adjustments of the strategies of intervention (i.e a practical knowledge) of each practitioner having modulated her work in the light of success and setbacks case after case. The two E parameters constitute the library resources for the semiotic recognition process and the K parameter ensures the contextualisation required to set up the reasoning and to formulate explanatory hypotheses for the discovered physical traces, questioned in their relevancy. This research demonstrates that the relevancy is not absolute. It is temporal and contextual; it is a conventional and relative dimension that must be discussed. This is where the whole issue of the meaning of what is relevant to each stakeholder of the investigation process rests. By proposing a step by step approach to the meaning process from the physical trace to the forensic clue, this study aims to provide a more advanced understanding of the reasoning and its operation, in order to streng- then forensic investigators' training. This doctoral research presents a set of tools critical to both pedagogical and practical aspects for crime scene management while identifying key-influences with individual, structural and situational dimensions. - Une enquête criminelle consiste à rechercher et à faire parler les vestiges d'un acte incriminé passé. L'investigateur forensique se pose dans ce cadre comme un lecteur critique des lieux à la recherche de traces devant lui permettre de former son récit, soit l'histoire du délit/crime censé s'être produit. Le challenge de tout investigateur est de pouvoir détecter et reconnaître les traces dites pertinentes pour fournir des indices forensiques à buts d'enquête et de renseignement. Inspirée par un tel constat, la présente recherche pose au coeur de ses réflexions les questions suivantes : Qu'est-ce qu'une trace pertinente ? Et, comment fait le forensicien pour déterminer qu'il y fait face ? L'intérêt de tels questionnements se comprend dans la volonté de définir une dimension souvent utili- sée en science forensique, mais encore jamais étudiée dans ses implications et fonctionnements. Cette recherche se lance dans des voies d'étude encore peu explorées en usant d'outils sémiotiques et des pratiques d'enquêtes sociologiques combinés à des traitements statistiques de données. Les résultats sont représentés en suivant une piste sémiotique fortement influencée par les écrits de Peirce et une seconde piste dite empirique où des données d'interventions ont été analysées et des investigateurs forensiques interviewés sur leurs pratiques de travail sur le terrain. Par la piste sémiotique, une vision macroscopique du processus de signification de la trace en élément pertinent est représentée. La trace est perçue sous la forme de plusieurs signes dont la signification est codifiée culturellement. Le raisonnement se formaliserait en trois principales étapes : 1- Quel type de source évoque la trace détectée? 2- Quelle cause/activité est à l'origine de cette source dans le contexte précis du cas ? 3- Quelle histoire peut être racontée à partir de ces observations ? Cette dernière étape consiste à raisonner en créant des hypothèses devant expliquer la présence de la trace détectée suite à une activité posée comme étant en lien avec le cas investigué. Pour valider ces hypothèses, cela dépendrait de leur capacité à répondre à une règle, celle de la pertinence. Cette dernière étape consiste en la symbolisation de la pertinence. La règle se composerait de deux points : la reconnaissance de la pertinence factuelle (le lien entre la trace et le cas est-il reconnu dans l'hypothèse fournie?) et la pertinence appropriée (quel est l'investissement à fournir dans la collecte et l'exploitation de la trace pour le bénéfice attendu au niveau de l'investigation/renseignement?). Tout ce processus de signification se base sur des observations et un raisonnement conjectural soumis à de nombreuses influences. Dans cette étude, la pertinence en science forensique se formalise sous les traits d'une dimension conventionnelle, symbolisée, conditionnée par le contexte, la pratique de l'investigateur forensique et la culture du milieu ; en somme cette recherche avance que la pertinence est le fruit d'une interaction entre des paramètres d'ordre situationnel, structurel (ou organisationnel) et individuel. Garantir la détection, la collecte et l'exploitation des traces pertinentes sur les lieux dépend de la connaissance et d'une culture maîtrisées par le forensicien. Dans l'étude du rapport trace pertinente-investigateur forensique, la présente recherche pose le modèle SFE comme une carte conceptuelle illustrant trois grands axes d'acquisition de la connaissance et de la culture forensiques intervenant dans la recherche et l'évaluation de la trace pertinente. Par l'analyse des données d'in- terventions et des entretiens, le rapport entre ces trois paramètres et la pertinence a été mis en évidence. S, pour savoir, incarne un rapport à la connaissance immédiate pour se faire une représentation d'une réalité à un instant donné, un point important pour une pertinence qui se comprend dans un contexte. F, pour formation, se conçoit dans son rapport à la pertinence via cette culture qui tend à s'institutionnaliser (soit une connaissance théorique). Quant au paramètre E, pour expérience, il se comprend dans son rapport à la pertinence dans cet ajustement des stratégies d'intervention (soit une connaissance pratique) de chaque praticien ayant modulé leur travail au regard des succès et échecs enregistrés cas après cas. F et E formeraient la bibliothèque de ressources permettant le processus de reconnaissance sémiotique et S assurerait la contextualisation nécessaire pour poser le raisonnement et formuler les hypothèses explicatives pour les traces détectées et questionnées dans leur pertinence. Ce travail démontre que la pertinence n'est pas absolue. Elle est temporelle et contextuelle, c'est une dimension conventionnelle relative et interprétée qui se doit d'être discutée. C'est là que repose toute la problématique de la signification de ce qui est pertinent pour chaque participant du processus d'investigation. En proposant une lecture par étapes du processus de signification depuis la trace à l'indice, l'étude vise à offrir une compréhension plus poussée du raisonnement et de son fonctionnement pour renforcer la formation des intervenants forensiques. Cette recherche présente ainsi un ensemble d'outils critiques à portée tant pédagogiques que pratiques pour la gestion des lieux tout en identifiant des influences-clé jouées par des dimensions individuelles, structurelles et situationnelles.

Digital forensic osteology--possibilities in cooperation with the Virtopsy project.

The present study was carried out to check whether classic osteometric parameters can be determined from the 3D reconstructions of MSCT (multislice computed tomography) scans acquired in the context of the Virtopsy project. To this end, four isolated and macerated skulls were examined by six examiners. First the skulls were conventionally (manually) measured using 32 internationally accepted linear measurements. Then the skulls were scanned by the use of MSCT with slice thicknesses of 1.25 mm and 0.63 mm, and the 33 measurements were virtually determined on the digital 3D reconstructions of the skulls. The results of the traditional and the digital measurements were compared for each examiner to figure out variations. Furthermore, several parameters were measured on the cranium and postcranium during an autopsy and compared to the values that had been measured on a 3D reconstruction from a previously acquired postmortem MSCT scan. The results indicate that equivalent osteometric values can be obtained from digital 3D reconstructions from MSCT scans using a slice thickness of 1.25 mm, and from conventional manual examinations. The measurements taken from a corpse during an autopsy could also be validated with the methods used for the digital 3D reconstructions in the context of the Virtopsy project. Future aims are the assessment and biostatistical evaluation in respect to sex, age and stature of all data sets stored in the Virtopsy project so far, as well as of future data sets. Furthermore, a definition of new parameters, only measurable with the aid of MSCT data would be conceivable.

Learning about Bayesian networks for forensic interpretation : An example based on the "the problem of multiple propositions"

Both, Bayesian networks and probabilistic evaluation are gaining more and more widespread use within many professional branches, including forensic science. Notwithstanding, they constitute subtle topics with definitional details that require careful study. While many sophisticated developments of probabilistic approaches to evaluation of forensic findings may readily be found in published literature, there remains a gap with respect to writings that focus on foundational aspects and on how these may be acquired by interested scientists new to these topics. This paper takes this as a starting point to report on the learning about Bayesian networks for likelihood ratio based, probabilistic inference procedures in a class of master students in forensic science. The presentation uses an example that relies on a casework scenario drawn from published literature, involving a questioned signature. A complicating aspect of that case study - proposed to students in a teaching scenario - is due to the need of considering multiple competing propositions, which is an outset that may not readily be approached within a likelihood ratio based framework without drawing attention to some additional technical details. Using generic Bayesian networks fragments from existing literature on the topic, course participants were able to track the probabilistic underpinnings of the proposed scenario correctly both in terms of likelihood ratios and of posterior probabilities. In addition, further study of the example by students allowed them to derive an alternative Bayesian network structure with a computational output that is equivalent to existing probabilistic solutions. This practical experience underlines the potential of Bayesian networks to support and clarify foundational principles of probabilistic procedures for forensic evaluation.

Measurement of β-tryptase in postmortem serum, pericardial fluid, urine and vitreous humor in the forensic setting.

In the realm of forensic pathology, β-tryptase measurement for diagnostic purposes is performed in postmortem serum obtained from femoral blood. This may be partially or completely unavailable in some specific cases, such as infant autopsies and severely damaged bodies. The aim of this study was to investigate the usefulness of determining β-tryptase levels for diagnostic purposes in alternative biological samples. Urine, vitreous humor and pericardial fluid were selected and measured in 94 subjects including: fatal anaphylaxis following contrast material administration (6 cases), hypothermia (10 cases), diabetic ketoacidosis (10 cases), gunshot suicide (10 cases), heroin injection-related deaths (18 cases), trauma (10 cases), sudden death with minimal coronary atherosclerosis (10 cases), severe coronary atherosclerosis without myocardial infarction (10 cases) and severe coronary atherosclerosis with myocardial infarction (10 cases). Postmortem serum and pericardial fluid β-tryptase levels higher than the clinical reference value (11.4ng/ml) were systematically identified in fatal anaphylaxis following contrast material administration and 6 cases unrelated to anaphylaxis. β-tryptase concentrations in urine and vitreous humor were lower than the clinical reference value in all cases included in this study. Determination of β-tryptase in pericardial fluid appears to be a possible alternative to postmortem serum in the early postmortem period when femoral blood cannot be collected during autopsy and biochemical investigations are required to objectify increased β-tryptase levels.

Forensic intelligence for medicine anti-counterfeiting

Medicine counterfeiting is a crime that has increased in recent years and now involves the whole world. Health and economic repercussions have led pharmaceutical industries and agencies to develop many measures to protect genuine medicines and differentiate them from counterfeits. Detecting counterfeit is chemically relatively simple for the specialists, but much more information can be gained from the analyses in a forensic intelligence perspective. Analytical data can feed criminal investigation and law enforcement by detecting and understanding the criminal phenomenon. Profiling seizures using chemical and packaging data constitutes a strong way to detect organised production and industrialised forms of criminality, and is the focus of this paper. Thirty-three seizures of a commonly counterfeited type of capsule have been studied. The results of the packaging and chemical analyses were gathered within an organised database. Strong linkage was found between the seizures at the different production steps, indicating the presence of a main counterfeit network dominating the market. The interpretation of the links with circumstantial data provided information about the production and the distribution of counterfeits coming from this network. This forensic intelligence perspective has the potential to be generalised to other types of products. This may be the only reliable approach to help the understanding of the organised crime phenomenon behind counterfeiting and to enable efficient strategic and operational decision making in an attempt to dismantle counterfeit network.

Bayesian Networks and the Value of the Evidence for the Forensic Two-Trace Transfer Problem

Forensic scientists face increasingly complex inference problems for evaluating likelihood ratios (LRs) for an appropriate pair of propositions. Up to now, scientists and statisticians have derived LR formulae using an algebraic approach. However, this approach reaches its limits when addressing cases with an increasing number of variables and dependence relationships between these variables. In this study, we suggest using a graphical approach, based on the construction of Bayesian networks (BNs). We first construct a BN that captures the problem, and then deduce the expression for calculating the LR from this model to compare it with existing LR formulae. We illustrate this idea by applying it to the evaluation of an activity level LR in the context of the two-trace transfer problem. Our approach allows us to relax assumptions made in previous LR developments, produce a new LR formula for the two-trace transfer problem and generalize this scenario to n traces.

Situating forensic traces in time

Situating events and traces in time is an essential problem in investigations. To date, among the typical ques- 21¦tions issued in forensic science, time has generally been unexplored. The reason for this can be traced to the 22¦complexity of the overall problem, addressed by several scientists in very limited projects usually stimulated 23¦by a specific case. Considering that such issues are recurrent and transcending the treatment of each trace 24¦separately, the formalisation of a framework to address dating issues in criminal investigation is undeniably 25¦needed. Through an iterative process consisting of extracting recurrent aspects discovered from the study of 26¦problems encountered by practitioners and reported in the literature, common mechanisms were extracted 27¦and provide understanding of underlying factors encountered in forensic practise. Three complementary ap- 28¦proaches are thus highlighted and described to formalise a preliminary framework that can be applied for the 29¦dating of traces, objects, persons and indirectly events.