Forensic intelligence in Australia and New Zealand: Status and future directions.

Forensic science is underutilised. Operating models restricted to the support of court outcomes do not address core requirements of contemporary policing and public security, which are to disrupt criminal activity and prevent crime. Forensic intelligence (FORINT) is a principal means of enhancing the role of forensic science, emphasising proactivity and cross-case, cross-crime domain insights. To catalyse implementation, a FORINT Specialist Advisory Group (SAG) has been established under the Australia & New Zealand Policing Advisory Agency (ANZPAA) National Institute of Forensic Science (NIFS). The SAG has established a concept of operations with four lines of effort - namely, to (i) promote awareness and consistency, (ii) shape the workforce, (iii) develop information management frameworks and (iv) guide operational implementation. This aims to shift Australia & New Zealand from its present state (of substantial interagency variability) to a state of widespread, consistent and effective FORINT delivery in terms of: (a) culture, (b) information management, (c) education & training, and (d) organisation & operating environment. There are risks to implementing FORINT, in terms of privacy/confidentiality, bias/misinterpretation, and resource impost. However, these are not necessarily FORINT-specific, and solutions or mitigations exist. Moreover, these issues are outweighed by the risks of not implementing FORINT - such as a failure to reveal threats, missed opportunities, and poor resource efficiency. This paper is a call to arms. For policing and laboratories - now is the time to implement and entrench FORINT. For academia - now is the time to build foundations for this future. For supporting industries - now is the time to develop partnerships and facilitate delivery.

Value of DNA mixture-to-mixture comparisons within an operational context.

Since 1995, national forensic DNA databases have used a maximum number of contributors, and a minimum number of loci to reduce the risk of providing false leads. DNA profiles of biological traces that do not meet these criteria cannot be loaded into these databases. In 2023, about 10 % of more than 15,000 trace DNA profiles analyzed in western Switzerland were not compared at the national level, even though they were considered to be interpretable, mainly because they contained the DNA from more than two persons. In this situation, police services can request local comparisons with DNA profiles of known persons and/or with other traces, but this occurs in only a small proportion of cases, so that DNA mixtures are rarely used to help detect potential series. The development of probabilistic genotyping software and its associated tools have made possible the efficient performance of this type of comparison, which is based on likelihood ratios (LR) rather than on the number of shared alleles. To highlight potential common contributors for investigation and intelligence purposes, the present study used the mixture-to-mixture tool of the software STRmix v2.7 to compare 235 DNA profiles that cannot be searched the Swiss DNA database. These DNA profiles originated from traces collected by six different police services in 2021 and 2022. Traces were selected by the police based on information that indicated that they were from potential series. Associations between profiles were compared with expected investigative associations to define the value of this approach. Among the 27,495 pairwise comparisons of DNA profiles, 88 pairs (0.3 %) showed at least one potential common contributor when using a LR threshold of 1000. Of these 88 pairs, 60 (68.2 %) were qualified by the police services as "expected" (60/88), 22 (25.0 %) as "possible", and six (6.8 %) as "unexpected". Although it is important to consider the limits of this approach (e.g., adventitious or missed associations, cost/benefit evaluation, integration of DNA mixture comparison in the process), these findings indicate that non CODIS loadable DNA mixtures could provide police agencies with information concerning potential series at both the local and national level.

Illuminating the dark web market of fraudulent identity documents and personal information: An international and Australian perspective.

From the beginnings of Silk Road in 2011, anonymous online marketplaces have continued to grow despite the best efforts of law enforcement. While these ever-present marketplaces remain flooded with illicit drugs and related paraphernalia, the sale and distribution of fraudulent identity documents remains a persistent problem, with these items consistently appearing for sale on both the open and dark web. While fraudulent Australian documents are some of the most popular products for sale, there is still much that is unknown about the Australian criminal market and its place within anonymous online marketplaces. Given the success of previous research in understanding the illicit drug trade through examining these marketplaces, this work examines two markets to gain an understanding of where Australian document fraud sits within this digital ecosystem. Two anonymous online marketplaces were crawled across 2020 and 2021, White House Market (WHM), and Empire Market. This data was extracted and examined to identify trends within both the international online market and the online market specifically for Australian documents, both of which have been relatively underexplored in the online space. To help illuminate the features of the market, the types of documents for sale, supply and demand trends, and trafficking flows along with vendor-related trends (e.g. product diversification and presence across markets) were examined. Each market was examined individually and then, where possible, comparisons were drawn to gain a more holistic understanding of the online fraudulent document market, with a specific focus on Australian products. Results indicate that, while the fraudulent document portion of the market is small, it is diverse, with numerous different identity-related products for sale, the most common being driver's licences from the United States (U.S.) and Australia, with digital documents dominating the whole marketplace. Overall, the most popular U.S. products were those that could be used to facilitate identity fraud, with the most popular Australian products being driver's licences and ID packs, likely linked to the presence of the 100-point identity check system used in Australia. This study demonstrates that anonymous online marketplaces have thus far been under-utilised in the study of the fraudulent document market, and that to properly understand the illicit market for fraudulent documents and personal information both the online and physical sides of the market should be considered. This information, if properly utilised, can improve the current understanding of this persistent criminal environment, building on previous research and assisting policymakers in making informed decisions.

Kafka's beautiful eyes: Forensic intelligence utilisation of phenotypic information.

Franz Kafka had beautiful eyes. So striking, that many of the famous author's friends and peers commented on them - but quite variously ('dark', 'brown', 'grey' & 'blue'). Eye colour as perceived by an observer is subjective, being influenced by physiological, environmental, and even sociocultural factors. In a policing context, this does not mean that trait information such as eye colour is not valuable (far from it), but that it must be managed carefully. The Australian Federal Police has recently implemented a forensic DNA phenotyping (FDP, aka. physical trait prediction or PTP) capability, utilising massively parallel sequencing DNA technology to predict an individual's eye colour, biogeographical ancestry and sex from a crime scene sample. This information alone is not itself 'intelligence', but can be used to generate intelligence through holistic analyses undertaken within a transdisciplinary, all-source forensic intelligence (FORINT) framework. FORINT outputs posit abductive propositions typically at the activity/offence level, to provide insight and influence decision making. However, the use of predicted traits requires that they are compared to something; all Australian police databases include fields for physical traits, but no uniform standard is applied across all agencies. Moreover, collection is inconsistent and no automated systems are in place to capture such data systematically. Consider the 'Kafka problem': his peers gave multiply divergent descriptions of his eyes. If a Biology unit had predicted the eye colour of an 'unidentified author' using DNA - how would Kafka be confidently nominated as the contributor? We posit three maxims for law enforcement: (1) To expand the operational utility of forensic science in line with police demands, forensic science should operationalise FDP (e.g. operationally to rank a list of persons of interest, focus lines of enquiry in serious & organised crime, or assist with human remains identification). (2) Such advanced biological techniques are best delivered through an all-source FORINT framework, to maximise opportunities and minimise risk. (3) One cannot pursue techno-scientific advancements in isolation; it is also necessary to influence the operational posture for their implementation. In this paper we explore these issues and provide recommendations relating to (a) police practices, (b) image capture systems, and (c) research opportunities. Phenotypic trait prediction has great potential and can be operationalised effectively through a rigorous FORINT framework. However, there is (continual) work to be done to enhance the operational capabilities that are complementary to - but necessary for - effective forensic science contribution to investigations.

Irgafos 168 and Irganox 1076 as new cocaine cutting agents: A COVID-19 pandemic impact on cocaine profiling and trafficking in Brazil.

BACKGROUNDS: Restrictions in movement and closure of borders imposed by the Sars-Cov- 2 worldwide pandemic have affected the global illicit drug market, including cocaine trafficking. In this scenario, comparing cutting agents added to the cocaine and the drug purity are valuable strategies to understand how the drug trade has been impacted by the pandemic. METHODS: In this work, 204 cocaine salt materials seized in the Brazilian Federal District, before (2019) and during COVID-19 pandemics (2020) were analyzed by two analytical techniques: gas chromatography-mass spectrometry (GC-MS) and Fourier-transform infrared spectroscopy (FTIR). Statistical analyses, including Principal Component Analysis (PCA), were applied to evaluate the COVID-19 pandemic impact in the local market. Bibliometric analysis was performed as a forensic intelligence tool. RESULTS: From 2019-2020, cocaine average purity decreased 26 % while the frequency of cutting agents, as caffeine and anesthetics (lidocaine, tetracaine) increased. The high percentage of unknown were increased. Different cocaine profiling seized in 2020 showed new cutting agents, such as Irganox 1076, and Irgafos 168, indicating a trend on new adulterants/diluents introduced in the local market to mitigate the local drug shortage. Also in 2020, there was an increase in the local cocaine seizures, despite of the cocaine drug purity decreased by 26 % compared to 2019. CONCLUSIONS: Taken together, these data showed that the covid-19 pandemics has impacted cocaine trafficking in the Brazilian Federal District, an increase in cocaine seizures, which may indicate greater demand for the drug and, specially, changes in the cocaine purity and cutting agents profiling showing how traffickers tried to minimize difficulties in crossing the Brazilian border during COVID-19 restrictions. The information is relevant since Brazil is one of the major departure points for traded cocaine to the world. Bibliometric analysis showed that Irgafos 168 and Irganox 1076 were consistently identified as cocaine cutting agents for the first time.

An exploratory study of topographical signatures within 3D fused deposition modelling using Polylactic Acid (PLA) filament.

This preliminary limited study considers the possibility of the same source identification of consecutively 3D printed components using polymer filament by the examination of deposition artifacts as distinctive macroscopic and microscopic surface characteristics upon the surface of 3D printed objects. Hot-end printer nozzle deposition using polymer filaments can create distinctive surface characteristics upon 3D FDM-printed manufactured objects that can be identified, examined, and compared. Such artifacts can occur as repeatable patterns known as 'deposition striae', 'detachment points', and 'start points' upon the surfaces of an object and on consecutively manufactured components that have used the same 3D Fused Deposition Modelling (FDM) printer hardware. Some of these observable artifacts can fulfil the sufficient agreement requirements of the Association of Firearm and Tool Mark Examiners (AFTE) Theory of Identification as it relates to tool marks when applied to consecutively produced 3D Additive Manufacture (AM) components. For this criteria to apply, the influence of subclass characteristics on any identification must be ruled out.

A footwear marks database in Western Switzerland: A forensic intelligence success.

Footwear marks database has been the subject of numerous research projects over the past decades with a strong focus on the automation of the process of retrieving candidates for comparison. However, to date, there is still no tool able to perform a fully automate treatment of unknown crime scene marks. Making the assumption that a fully automated tool would not be available before a long time and not necessarily required, a project has emerged in Western Switzerland with the aim to commonly exploit footwear marks across several states. As this type of evidence is mainly collected in the context of volume crime, the exploitation of the footwear marks is mainly focused on the detection of links between cases in order to create forensic intelligence. Nevertheless, the search for associations between unknown marks and seized shoes is also carried out. This project resulted in a database developed in-house and now in operation. Through this tool, several forensic services are able to share their footwear marks, compare them and detect series. The links detected through this database are also shared with criminal analysis and intelligence systems. This project does not exploit any particular technological advance but have led to an operational database. This paper will highlight some of the factors that have led to the development and implementation of a successful footwear marks database connecting several police services.

A custom hybridisation enrichment forensic intelligence panel to infer biogeographic ancestry, hair and eye colour, and Y chromosome lineage.

Massively parallel sequencing can provide genetic data for hundreds to thousands of loci in a single assay for various types of forensic testing. However, available commercial kits require an initial PCR amplification of short-to-medium sized targets which limits their application for highly degraded DNA. Development and optimisation of large PCR multiplexes also prevents creation of custom panels that target different suites of markers for identity, biogeographic ancestry, phenotype, and lineage markers (Y-chromosome and mtDNA). Hybridisation enrichment, an alternative approach for target enrichment prior to sequencing, uses biotinylated probes to bind to target DNA and has proven successful on degraded and ancient DNA. We developed a customisable hybridisation capture method, that uses individually mixed baits to allow tailored and targeted enrichment to specific forensic questions of interest. To allow collection of forensic intelligence data, we assembled and tested a custom panel of hybridisation baits to infer biogeographic ancestry, hair and eye colour, and paternal lineage (and sex) on modern male and female samples with a range of self-declared ancestries and hair/eye colour combinations. The panel correctly estimated biogeographic ancestry in 9/12 samples (75%) but detected European admixture in three individuals from regions with admixed demographic history. Hair and eye colour were predicted correctly in 83% and 92% of samples respectively, where intermediate eye colour and blond hair were problematic to predict. Analysis of Y-chromosome SNPs correctly assigned sex and paternal haplogroups, the latter complementing and supporting biogeographic ancestry predictions. Overall, we demonstrate the utility of this hybridisation enrichment approach to forensic intelligence testing using a combined suite of biogeographic ancestry, phenotype, and Y-chromosome SNPs for comprehensive biological profiling.

Forensic intelligence-led prevention of drug-facilitated sexual assaults.

This work explores the potentially broader contribution of forensic science to preventive public health through the proactive view promoted by forensic intelligence. For that purpose, a new working framework is applied as a strategic tool that channelizes forensic intelligence in a more understandable and didactic way for decision-makers, guiding preventive crime processes. Concretely, the implementation of this operational framework focuses on preventing drug-facilitated sexual assaults in the nightlife context. Through a two-stage research scheme, the working framework is used as a study tool for understanding this violent phenomenon and as a strategic thinking and action platform for overcoming it. Forensic intelligence-guided actions significantly enhanced institutional and direct support facing this specific form of sexual violence. Awareness messages targeting potential assailants, witnesses, and victims reached more than half a thousand students from the university and pre-university education through a preventive intervention within the educational system. Moreover, the inter-professional dialogue between forensic science and other health, security, and education disciplines shows the broader proactive role of forensic science beyond the traditional retroactive view limited to courtrooms and intelligence-led policing. This study demonstrates as forensic intelligence becomes applicable for civilians, who participate as decision-makers in intelligence-led preventive processes, anticipating the need for intervention by police and judicial authorities.

Technical note: The Next Step - a semi-automatic coding and comparison system for forensic footwear impressions.

Footwear impression evidence is a key tool in criminal investigations, connecting suspects to the crime scene; in addition, it may provide valuable forensic intelligence linking different crime scenes in the absence of a suspect. This paper presents the development of a computer database and semi-automatic system for shoeprint comparison. The database is based on structured manual coding of elements by CSI (Crime Scene Investigators). The computer algorithm then compares the pattern information of the query footwear impression to the entire database, returning a list of possible matches ranked by pattern similarity and crime scene geographic proximity. Initial results using a database of 284 footwear impressions from real crime scenes revealed that a "match" (i.e., the same shoe model) was found for 30% of the impressions; in most cases, the "match" ranked within the top five places of the "hit" list generated by the algorithm. Our results confirm that this semi-automatic footwear comparison system is simple, cost-effective and efficient, providing great potential for linking crime scenes.

DNA microarray for forensic intelligence purposes: High-density SNP profiles obtained directly from casework-like samples with and without a DNA purification step.

SNP analyses from a forensic intelligence perspective have proven to be an important tool to restrict the number of suspected offenders and find missing persons. DNA microarray assays have been demonstrated as a potential feature in forensic analysis, like such as forensic genetic genealogy. The objective of this study was to describe the results from DNA microarray assay from saliva samples deposited on a glass surface collected from by a double swab technique, commonly applied in crime scenes. Eighteen samples from the same person were subjected to Infinium® Global Screening Array-24 v1.0 (~642.824 SNP markers) in two different protocols - with or without the DNA purification procedure. The measured genotype was compared with a Consensus Genotype, obtained from standard control samples, and the parameters such as Call Rate and GenCall Scores were evaluated. Results showed that the Call Rate parameter is enough to estimate the probability of obtaining a correct genotype in the SNP assay. Reliable genotypes with a confidence level of more than 90% (at least 90.15%) were observed in Call Rates above 69.41%, regardless of the experimental condition. Our data demonstrate that DNA Microarray from samples collected under conditions such as those found at crime scenes can generate high-density SNP genetic profiles with a confidence level greater than 90%. Enzymatic adjustments and protocol changes may enable DNA microarray assays for crime analysis and investigation purposes eliminating the purification step in the future. Our data suggest that DNA microarray can support criminal investigation teams from a forensic intelligence perspective.

Impurities, adulterants and cutting agents in cocaine as potential candidates for retrospective mining of GC-MS data.

Cocaine is one of the most widely used illicit drugs worldwide. Cocaine powders seized by the Police may contain numerous other substances besides the drug itself. These can be impurities originating from the coca plant or the production process, or be purposely added to the drug formulation as adulterants and cutting agents. In forensic laboratories, identification of cocaine is routinely done through GC-MS analysis, but other components are often ignored even if the method allows for their detection. Yet, they can provide valuable insight into the history of a seizure and its potential connection to other samples. To explore this idea, an extensive review of common impurities and adulterants encountered in cocaine is presented. Based on their incidence, concentration in the end product and compatibility with GC-MS methods, their overall usefulness as candidates for the statistical investigation of existing forensic data is evaluated. The impurities cis- and trans-cinnamoylcocaine, tropacocaine, norcocaine and N-benzoylnormethylecgonine as well as the adulterants lidocaine, procaine, tetracaine, benzocaine, caffeine, acetylsalicylic acid, phenacetin, ibuprofen, levamisole, hydroxyzine and diltiazem are promising candidates to provide additional forensic intelligence. Future research on optimized routine GC-MS methods, signal reproducibility, comparison, statistics and databases is suggested to facilitate this concept. Ultimately, such an approach may significantly advance the amount of information that is extracted from routine casework data, elucidate developments in the cocaine markets in the past and facilitate Police work in the future. Preliminary assessment of existing data from the forensic laboratory of the Amsterdam Police has been included to show that the detection of the identified target impurities is feasible, and that small adjustments to the analysis method could significantly increase the detectability of these analytes in prospective drug screenings. Forensic intelligence based on retrospective data mining of cocaine containing casework samples may thus be realized with minimal additional laboratory efforts by using already available instrumentation, samples and data.

Determining the impact of unknown individuals in criminality using network analysis of DNA matches.

Criminal offenders missing from police files limit the capacity to reconstruct criminal networks for criminological research and operational purposes. Recent studies show that forensic DNA databanks offer potential to address this problem, through large-scale analysis of DNA matches, many of which involve unidentified offenders. Applying social network analysis (SNA) to 18 years of DNA match data from Québec, Canada, we found that 1400 unknowns do not occupy more marginal positions in the network than 13,000 known offenders, and explain up to 18% of SNA values (e.g., betweenness centrality) for the latter while supporting 46% of their clustering values. Our results contrast with previous studies, showing moreover that unknown individuals who are positioned centrally in a network may have a larger impact than previously expected on investigation policing with implications for forensic intelligence.

Characterization and differentiation of aluminum powders used in improvised explosive devices. Part 2: Micromorphometric method refinement and preliminary statistical analysis.

Aluminum (Al) powder is commonly encountered in improvised explosive devices (IEDs) as a metallic fuel due to its availability and low cost. Although available commercially in powder form, amateur bomb-makers also produce their own Al powder via simple methods found online. In order to provide investigative leads and forensic intelligence, it is important to evaluate not only the composition of homemade devices, but also to distinguish between the various forms of Al powder they contain. To achieve this goal, a method using automated microscopy in combination with statistical techniques has been demonstrated to have the potential to provide source discrimination and investigative leads in source attribution of Al powders in IEDs. The present research refined this method and investigated 59 industrially and amateurly produced Al powder sources with seven subsamples per source using two traditional linear discriminant analyses (LDA), one with a standard data split for training and testing, and another using leave-one-out cross-validation. Averaging the classification accuracies for the two LDA-based analyses, LDA has the ability to correctly classify 59.26%, 83.35%, and 80.69% of the samples based on their powder source, type, and production method, respectively. This classification accuracy represents a 3407%, 317%, and 61.38% increase in accuracy from random class assignment, respectively. Further, in most instances of incorrect data attribution to a particular source, the subsample has been misidentified with another sample of the same powder type or production method.

Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses.

In the area of illicit drugs, forensic case data have proven effective at detecting links between seizures and providing greater insights into illicit drug markets. This research explored the application of mathematical and statistical techniques to several chemical profiles of Australian methylamphetamine seizures. The main aim was to create and deliver a method that would expand the use of illicit drug profiling for strategic intelligence purposes, contributing to the fight against illicit drug trafficking. The use of comparison metrics and clustering analysis to determine links between existing illicit drug specimens and subsequent new specimens was evaluated and automated. Relational, temporal and spatial analyses were subsequently used to gain an insight into illicit drug markets. Relational analysis identified clusters of seizures central to the network. Temporal analysis then provided insights into the behaviour of distribution markets, specifically the emergence and extinction of certain clusters of seizures over time. Spatial analysis aided the understanding of the inter-jurisdictional nature of illicit drug markets. These analyses allowed for the generation of strategic intelligence relating to when and where the Australian methylamphetamine illicit drug market was the most active. Additionally, the strategic level trends identified clusters of seizures that were worth investigating further. These clusters were explored through a case study, which exploited additional chemical profiling data to provide drug market knowledge at an operational level. In turn, the intelligence produced at various levels could allow relevant law enforcement agencies to take necessary measures in disrupting markets.

Forensic intelligence: Data analytics as the bridge between forensic science and investigation.

Scientists should not play a role in investigations nor should investigators play a role in the scientific analyses. One way to bridge the relationship between the forensic scientist and the police investigator is through an Intelligence Analyst (IA) who is part of the forensic services operation. The IA offers the ability to walk between the role of scientist and law enforcement, receiving data after completion of scientific analyses and translating the information into actionable intelligence. The additional bridging and translating services represent a paradigm shift with increased emphasis on investigative contributions from forensic analysis. Forensic intelligence incorporates forensic data early in an investigation in a holistic case approach that incorporates possible datasets and information that could be relevant to the investigation. We present a brief review of the value added when an IA provides the bridge between the forensic laboratory and police investigators to enhance the use of forensic evidence.

Enhancing the evidential value of textile fibres Part 2: Application of a database-driven fibre comparison strategy to a cold-case investigation.

This paper describes the involvement of our laboratory in a Western Australian 'cold-case' investigation that spanned 24 years. The investigation was widely considered to be the largest in Australian history. During the investigative phase, our laboratory was tasked with the collection of trace evidence of all types in connection with a sexual assault and two homicides that were suspected to be related. Textile fibres represented the vast majority of trace evidence recovered. A much greater quantity of fibres (>10,800) was collected than would be typical for a routine case, as fibres of any colour or type were potentially of investigative value. The investigation was unprecedented in its scale, and presented numerous challenges in terms of evidence recovery, analysis, interpretation, reporting, and provision of testimony. A textile fibre microspectrophotometric (MSP) database was developed specifically for the interpretation of data in connection with the investigation. The database currently contains over 25,000 normalised and first derivative spectra of casework, validation and reference textile fibres. A fibre comparison strategy was devised, involving the identification of preliminary fibre groups on the basis of corresponding/similar MSP spectra, and verification of these groups via brightfield and fluorescence comparison microscopy. A potential link to an automotive source was identified for one of the homicide victims during the investigative phase. After identification of a suspect, a total of 98 fibres recovered from victims and from a seized motor vehicle were found to correspond in properties to six different fibre types from known textile sources in connection with the suspect. A highly publicised criminal trial was held, and textile fibre evidence provided a major contribution to the trial findings, in which the accused was found guilty of two homicides.

Interpretation of DNA data within the context of UK forensic science - investigation.

This article is the second part of a review of the interpretation of DNA data in forensic science. The first part describes the evaluation of autosomal profile for criminal trials where an evidential weight is assigned to the profile of a person of interest (POI) and a crime-scene profile. This part describes the state of the art and future advances in the interpretation of forensic DNA data for providing intelligence information during an investigation. Forensic DNA is crucial in the investigative phase of an undetected crime where a POI needs to be identified. A sample taken from a crime scene is profiled using a range of forensic DNA tests. This review covers investigation using autosomal profiles including searching national and international crime and reference DNA databases. Other investigative methodologies described are kinship analysis; familial searching; Y chromosome (Y-STR) and mitochondrial (mtDNA) profiles; appearance prediction and geographic ancestry; forensic genetic genealogy; and body identification. For completeness, the evaluation of Y-STRs, mtDNA and kinship analysis are briefly described. Taken together, parts I and II, cover the range of interpretation of DNA data in a forensic context.

Illicit drug profiling practices in Finland: An exploratory study about end users' perceptions.

Illicit drug profiling (i.e. chemical and/or physical profiling) to compare and relate illicit drugs samples has been actively used in routine case work at the National Bureau of Investigation (NBI) in Finland. This preliminary and exploratory work reviews NBI's illicit drug profiling practices. Particular emphasis is put on communication of forensic results and how the NBI has promoted the use of forensic data in an intelligence perspective by establishing a case coordination service. Moreover, our study evaluates the comprehension, integration and usefulness of illicit drug profiling from end users' point of view by means of an online survey and face-to-face interviews. Findings are compared with theoretical aspects as described in literature. Results show that in the Finnish context illicit drug profiling is used and useful in the investigation and in court. From end users' perspective, real practical relevance relies in its use as intelligence during the investigation. However, to be truly useful, illicit drug profiling results must be communicated promptly during the investigation, with sufficient clarity and interpreted correctly by end users. Factors influencing the integration of illicit drug profiling in the forensic process are addressed.

Characterization and differentiation of aluminum powders used in improvised explosive devices - Part 1: Proof of concept of the utility of particle micromorphometry.

Aluminum (Al) powders are commonly used in improvised explosive devices as metallic fuels, a component of explosive mixtures. These powders can be obtained readily from industrial-scale and consumer products, and produced using unsophisticated "kitchen chemistry" techniques. This research demonstrates the potential of automated particle micromorphometry for comparisons between known source and questioned Al powders recovered from IEDs, as well as for insight into the method of Al powder manufacture. Al powder samples were obtained from legitimate manufacturers, and 56 samples were produced "in-house" from Al-containing spray paints and ball-milled Al foils. Transmitted light microscope images of Al powder particles were acquired using an automated stage with automated z-focus; 17 size and shape parameters were measured for all particles. Approximately 37,000-2,500,000 particles/sample were analyzed using an open-source statistical package with customized code. Dimensionality reduction was required for processing the large datasets: eight of the 17 measured variables were selected based on inspection of the correlation matrix. Data from four subsamples from each of the 56 samples produced using "in-house" methods were analyzed using ANOVA to assess the within- and between-sample variation. High within-sample variation was noted; however, ANOVA and post-hoc Tukey's honestly significant difference (HSD) tests demonstrated that the between-sample variation was substantially larger than the within-sample variation. Each sample could be differentiated from all other samples in the test set. Future experiments will focus on ways to reduce the within-sample variation, and additional statistical and microanalytical methods to classify sources and confidently constrain the method of Al powder manufacture.