The use of handwriting examinations beyond the traditional court purpose.

Traditionally, forensic science has predominantly focused its resources and objectives on addressing court related questions. However, this view restricts the contribution of forensic science to one function and results in lost opportunities as investigative and intelligence roles are often overlooked. A change of perspective and expansion of the contributions of forensic science is required to take advantage of the benefits of abductive and inductive thought processes throughout the investigative and intelligence functions. One forensic discipline that has the potential to broaden its traditional focus is handwriting examination. Typically used in investigations that are focused on both criminal and civil cases, the examination procedure and outcome are time consuming and subjective, requiring a detailed study of the features of the handwriting in question. Traditionally, the major handwriting features exploited are characteristics that are often considered individual (or at least highly polymorphic) and habitual. However, handwriting can be considered as an information vector in an intelligence framework. One such example is the recognition of key elements related to the author's native language. This paper discusses the traditional method generally used around the world and proposes a theoretical approach to expand the application of handwriting examination towards gaining additional information for intelligence purposes. This concept will be designed and tested in a future research project.

The use of organic and inorganic impurities found in MDMA police seizures in a drug intelligence perspective.

Traditional forensic drug profiling involves numerous analytical techniques, and the whole process is typically costly and may be time consuming. The aim of this study was to investigate the possibility of prioritising techniques utilised at the Australian Federal Police (AFP) for the chemical profiling of 3,4-methylenedioxymethylamphetamine (MDMA). The outcome would provide the AFP with the ability to obtain more timely and valuable results that could be used in an intelligence perspective. Correlation coefficients were used to obtain a similarity degree between a population of linked samples (within seizures) and a population of unlinked samples (between different seizures) and discrimination between the two populations was ultimately achieved. The results showed that gas chromatography-mass spectrometry (GC-MS) was well suited as a single technique to detect links between seizures and could be used in priority for operational intelligence purposes. Furthermore, the method was applied to seizures known or suspected (through their case information) to be linked to each other to assess the chemical similarity between samples. It was found that half of the seizures previously linked by the case number were also linked by the chemical profile. This procedure was also able to highlight links between cases that were previously unsuspected and retrospectively confirmed by circumstantial information. The findings are finally discussed in the broader forensic intelligence context, with a focus on how they could be successfully incorporated into investigations and in an intelligence-led policing perspective in order to understand trafficking markets.

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.

Development and evaluation of portable NIR technology for the identification and quantification of Australian illicit drugs.

The efficient and accurate analysis of illicit drugs remains a constant challenge in Australia given the high volume of drugs trafficked into and around the country. Portable drug testing technologies facilitate the decentralisation of the forensic laboratory and enable analytical data to be acted upon more efficiently. Near-infrared (NIR) spectroscopy combined with chemometric modelling (machine learning algorithms) has been highlighted as a portable drug testing technology that is rapid and accurate. However, its effectiveness depends upon a database of chemically relevant specimens that are representative of the market. There are chemical differences between drugs in different countries that need to be incorporated into the database to ensure accurate chemometric model prediction. This study aimed to optimise and assess the implementation of NIR spectroscopy combined with machine learning models to rapidly identify and quantify illicit drugs within an Australian context. The MicroNIR (Viavi Solutions Inc.) was used to scan 608 illicit drug specimens seized by the Australian Federal Police comprising of mainly crystalline methamphetamine hydrochloride (HCl), cocaine HCl, and heroin HCl. A number of other traditional drugs, new psychoactive substances and adulterants were also scanned to assess selectivity. The 3673 NIR scans were compared to the identity and quantification values obtained from a reference laboratory in order to assess the proficiency of the chemometric models. The identification of crystalline methamphetamine HCl, cocaine HCl, and heroin HCl specimens was highly accurate, with accuracy rates of 98.4 %, 97.5 %, and 99.2 %, respectively. The sensitivity of these three drugs was more varied with heroin HCl identification being the least sensitive (methamphetamine = 96.6 %, cocaine = 93.5 % and heroin = 91.3 %). For these three drugs, the NIR technology provided accurate quantification, with 99 % of values falling within the relative uncertainty of ±15 %. The MicroNIR with NIRLAB infrastructure has demonstrated to provide accurate results in real-time with clear operational applications. There is potential to improve informed decision-making, safety, efficiency and effectiveness of frontline and proactive policing within Australia.

A snapshot of injecting drug consumption from the analysis of used syringes within the Medically Supervised Injecting Centre in Sydney, Australia.

INTRODUCTION: The administration of illicit drugs by injection is associated with considerable harm, including an increased risk of overdose. The chemical analysis of used syringes can enhance knowledge on injecting drug consumption beyond traditional data sources (self-report surveys). This additional information may be useful during significant global events like the COVID-19 pandemic. This study aimed to examine a snapshot of the drugs injected at the Medically Supervised Injecting Centre (MSIC) in Sydney, Australia, in 2019-2020. METHODS: Used syringes were collected from MSIC across three periods throughout 2019 and 2020 (February 2019, March-April 2020 and June-September 2020). Drug residues were extracted from used syringes using methanol before detection by gas chromatography-mass spectrometry and ultra-performance liquid chromatography-tandem mass spectrometry. The chemical analysis results were compared to self-report data obtained from MSIC clients. RESULTS: Heroin (46-53%), methamphetamine (24-34%) and pharmaceutical opioids (15-27%) were the most common drug residues detected. The chemically detected drugs had declining coherence with the drugs self-reported by MSIC clients across the time periods examined. DISCUSSION AND CONCLUSIONS: There was no significant change in the drugs injected (heroin, methamphetamine and pharmaceutical opioids) across the three periods collected throughout varying COVID-19 lockdown restrictions. Changes in the frequency of other drugs injected and discrepancies between chemical analysis and self-report were potentially related to regulatory changes, degradation or misinformed sales. Routine chemical analysis of used syringes has provided an alternative information source to promote awareness of current drug trends and aid harm reduction.

Forensic intelligence teaching and learning in higher education: An international approach.

Over the years, forensic science has primarily positioned itself as a service provider for the criminal justice system, following the dominant and traditional reactive law enforcement model. Unfortunately, this focus has limited its capacity to provide knowledge about crime systems and to support other forms of policing styles through forensic intelligence. Although forensic intelligence research has steadily developed over the last few years, it is rarely covered in the core of academic teaching and research programs. Developing forensic intelligence programs would empower graduates with an awareness of forensic intelligence meaning and models, creating great opportunities to shape their future professional activities and progressively shift the dominant paradigm through a bottom-up approach. In this article, the teaching and learning strategies in forensic intelligence developed at the University of Lausanne (Switzerland) and adapted at the University of Technology Sydney (Australia) and the Université du Québec à Trois-Rivières (Canada) are presented. The objective behind the strategy is to reflect on and work on real case scenarios using a progressive teaching and learning approach that builds upon the theory and practical exercise putting students in real-life situations. Through this innovative learning process, students move away from the Court as the sole end purpose of forensic science. They learn to adopt different roles, adopt a proactive attitude as well as work individually and collaboratively. This teaching and learning strategy breaks the current silos observed in the forensic science discipline by focusing on processes and critical thinking. It can be foreseen, through the evolution of crime and policing models, that the learning and teaching strategy described in this article offers and will offer the students with many new job opportunities. The article concludes with the advantages that such teaching and learning programs in forensic intelligence bring to the forensic science community.

Monitoring for fentanyl within Australian supervised injecting facilities: Findings from feasibility testing of novel methods and collaborative workshops.

BACKGROUND: Australia is yet to see widespread fentanyl-contaminated heroin, despite the established presence of fentanyl in other countries. International mortality trends alongside a local cluster of fentanyl-related deaths prompted interest in developing methods to monitor for fentanyl and other potentially harmful novel psychoactive substances (NPS) in Australia. METHODS: We tested novel methods to monitor for fentanyl and other NPS. From 2017-2021, clients from supervised injecting facilities (SIFs) in Melbourne and Sydney, Australia, contributed urine screens (UDS) with BTNX Rapid Response™ fentanyl test strips (FTS) paired with surveys, and injecting equipment associated with opioid overdoses for laboratory analysis. A single site piloted drug checking using FTS with laboratory confirmation. Two workshops were conducted with SIF staff, content experts and people with lived experience to determine how results can inform practices within SIFs. RESULTS: Of the 911 UDS with FTS conducted, less than 1% (n=8) yielded positive results that were not explained by self-reported pharmaceutical fentanyl use, with two laboratory confirmed fentanyl positive results. Injecting equipment from 59 overdoses was tested and neither fentanyl nor other NPS were identified. Drug checking with FTS (n=34) indicated the presence of fentanyl on three tests. Two specimens were subsequently sent for laboratory testing and classified as false positives as the presence of fentanyl was not confirmed. Workshop participants (n=21) felt routine monitoring with FTS currently had limited value. A process for using pre-defined signals to trigger surveillance was developed. CONCLUSION: The high false positive rates with FTS, relative to the small number of positive results and potential for them to undermine confidence in FTS emphasised the need for confirmatory testing. The role of routine surveillance was unclear within the current low-fentanyl context, however, a process was developed to upscale testing should signals of increased fentanyl prevalence in the Australian heroin market emerge.

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.

Infrequent detection of unintentional fentanyl use via urinalysis among people who regularly inject opioids in Sydney and Melbourne, Australia.

BACKGROUND AND AIM: The current phase of the North American 'opioid crisis' is characterised by illicit fentanyl use; however, the presence of illicit fentanyl in Australia is unknown. This study aimed to monitor unintentional fentanyl consumption in Australia. DESIGN: Rapid urine drug screens (UDS) paired with surveys conducted within supervised injecting facilities (SIFs) and confirmatory laboratory testing. SETTING: Sydney and Melbourne, Australia. PARTICIPANTS: Clients who used heroin within the past 2 days (n = 911 tests, 2017-2021). Participants were demographically similar to the overall client base (median age 43, 72% male). MEASUREMENTS: UDS were conducted using BTNX Rapid Response fentanyl urine strip tests with cross-reactivity to numerous fentanyl analogues. Positive urine samples were analysed using liquid chromatography coupled with tandem mass spectrometry. Surveys covered past 3 day drug use and lifetime report of fentanyl in heroin. FINDINGS: Two percent of participants reported intentional use of fentanyl, mostly through fentanyl patches. Of the 911 rapid UDS conducted, 17 (1.9%) yielded positive results. Eight of these (all from Melbourne) were not explained by survey-reported fentanyl use in the past 3 days. Of these 8 unexplained positives, confirmatory laboratory analysis was conducted on 6, with 4 deemed to be false positives, and 2 confirmed for the presence of fentanyl. This represents the first confirmation of unintended use of fentanyl type substances in this population. CONCLUSION: There is limited evidence of unintentional fentanyl use among people in Sydney and Melbourne, Australia who regularly inject heroin, suggesting that, currently, there is very little illicit fentanyl in Australian drug markets accessed by supervised injecting facilities attendees. This study demonstrates the feasibility of quick onsite testing to cost-effectively screen large samples for fentanyl; however, the high false positive rate emphasises the need for confirmation of positive tests through advanced analytical techniques.

Interpreting the link value of similarity scores between illicit drug specimens through a dual approach, featuring deterministic and Bayesian frameworks.

Illicit drug trafficking and in particular amphetamine-type stimulants continue to be a major problem in Australia. With the constant evolution of illicit drugs markets, it is necessary to gain as much knowledge about them to disrupt or reduce their impact. Illicit drug specimens can be analysed to generate forensic intelligence and understand criminal activities. Part of this analysis involves the evaluation of similarity scores between illicit drug profiles to interpret the link value. Most studies utilise one of two prominent score evaluation approaches, i.e. deterministic or Bayesian. In previous work, the notion of a dual approach was suggested, which emphasised the complementary nature of the two mentioned approaches. The aim of this study was to assess the operational capability of a dual approach in evaluating similarity scores between illicit drug profiles. Utilising a practical example, link values were generated individually from both approaches, then compared in parallel. As a result, it was possible to generate more informed hypotheses, relating to specimen linkage, due to the greater wealth of information available from the two approaches working concurrently. Additionally, it was shown that applying only one approach led to less information being generated during analysis as well as potentially important links between illicit drug specimens being missed.

Analysis of Google Trends to monitor new psychoactive substance. Is there an added value?

The past decade has seen an increase in the development and availability of a broad category of drugs, known as new psychoactive substances (NPS). NPS are challenging for public health authorities, therefore the two major drug monitoring bodies - the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) and the United Nations Office on Drugs and Crime (UNODC) - have implemented the EU Early Warning System (EWS) and Early Warning Advisory (EWA), respectively. While these monitoring systems are informative, it is difficult to keep up with the constant and rapid developmental rate of NPS. The EMCDDA has recognised the need for an alternative and technologically derived early warning system. The aim of this research is to determine whether Google Trends and drug discussion forum data can be used to complement early warning systems for NPS. Forty-eight substances were used in this study and classed into groups based on their chemical structure, following the UNODC classification system. Google Trends data (time range: 2004-2019) and drug forum data (time range: 2003-2018) were extracted for each substance and visual trend profiles were created for class groups as well as individual substances. Analysis was conducted to determine when a substance first appeared on Google Trends and a drug discussion forum as well as their trends over time. This date of first appearance was then compared to the date the substance was first reported to UNODC. Of the three data sources utilised, substances were most likely to appear on Google Trends first. Amongst the different classes of NPS, discernible trends ('block', 'successive', and 'generational' trends) were observed. These trends reflect the evolution of the manufacture of substances or generations of substances that has been observed in the literature. For example, in the synthetic cannabinoids' category, a generational trend is observed that corresponds to the different generations of synthetic cannabinoids. When comparing Google Trends and Drugs-Forum directly, the order of appearance and duration of presence for substances aligns accurately for most classes. Google Trends showed the emergence, persistence, or transient nature of substances, which could direct the focus of law enforcement, health organisation and laboratory resources towards a limited number of substances. When one considers the reliance of individual information seeking on the Web as well as the prominence of NPS on the Web, it becomes clear that Google Trends and drug discussion forums could be used as a complement to current early warning systems.

Breaking the barriers between intelligence, investigation and evaluation: A continuous approach to define the contribution and scope of forensic science.

Forensic science has been evolving towards a separation of more and more specialised tasks, with forensic practitioners increasingly identifying themselves with only one sub-discipline or task of forensic science. Such divisions are viewed as a threat to the advancement of science because they tend to polarise researchers and tear apart scientific communities. The objective of this article is to highlight that a piece of information is not either intelligence or evidence, and that a forensic scientist is not either an investigator or an evaluator, but that these notions must all be applied in conjunction to successfully understand a criminal problem or solve a case. To capture the scope, strength and contribution of forensic science, this paper proposes a progressive but non-linear continuous model that could serve as a guide for forensic reasoning and processes. In this approach, hypothetico-deductive reasoning, iterative thinking and the notion of entropy are used to frame the continuum, situate forensic scientists' operating contexts and decision points. Situations and examples drawn from experience and practice are used to illustrate the approach. The authors argue that forensic science, as a discipline, should not be defined according to the context it serves (i.e. an investigation, a court decision or an intelligence process), but as a general, scientific and holistic trace-focused practice that contributes to a broad range of goals in various contexts. Since forensic science does not work in isolation, the approach also provides a useful basis as to how forensic scientists should contribute to collective and collaborative problem-solving to improve justice and security.

Substances injected at the Sydney supervised injecting facility: A chemical analysis of used injecting equipment and comparison with self-reported drug type.

Providing information about substances injected can reduce the negative impact of illicit drug consumption and support people who inject drugs to make informed decisions. In Australia, information about drugs injected relies largely on periodic self-report surveys. For the first time, the analysis of the residual content of used injecting equipment was conducted in a supervised injecting facility (SIF) located in Sydney, Australia. The aim was to gain a better understanding of the substances injected by clients through: (1) chemical analyses of the content of used syringes; (2) comparison of these results with clients' self-reported drug use; and (3) assessing the usefulness of analysing other injecting equipment to detect substances used. During one week in February 2019, syringes and other injecting equipment were collected at the Sydney SIF. Their residual content was analysed by gas-chromatography/mass-spectrometry. Heroin was the most commonly detected substance (present in 51% of syringes), followed by methamphetamine (22%) and oxycodone (10%). In addition to the main psychoactive substance, cutting agents reported in the literature were also detected in used syringes. The main psychoactive substance identified by laboratory analysis reliably corresponded with users' self-reported drug type. Analytical confirmation of substances injected allows for the provision of better targeted harm reduction messaging based on timely and objective data. The approach used is amenable to clients and feasible in the Australian SIF context. Upscaling and wider implementation could be done through Needle and Syringe Programs, and would support the early detection of harmful substances entering drug markets and better inform harm reduction strategies.

Review of the most common chemometric techniques in illicit drug profiling.

The information generated through drug profiling can be used to infer a common source between one or several seizures as well as drug trafficking routes to provide insights into drug markets. Although well established, it is time-consuming and ineffective to compare all drug profiles manually. In recent years, there has been a push to automate processes to enable a more efficient comparison of illicit drug specimens. Various chemometric methods have been employed to compare and interpret forensic case data promptly. The intelligence that is produced can be used by decision-makers to disrupt or reduce the impact of illicit drug markets. This review highlights the most common chemometric techniques used in drug profiling and more specifically, the most efficient comparison metrics and pattern recognition techniques outlined in the literature.

When does the cutting of cocaine and heroin occur? The first large-scale study based on the chemical analysis of cocaine and heroin seizures in Switzerland.

BACKGROUND: Illicit drug profiling can provide knowledge about illicit drug markets, informing on the level of distribution and its evolution in space and time. Illicit drug profiling is usually limited to impurities originally present in the illicit drug (e.g. alkaloids, co-extracted compounds or by-products). However, the benefit of a comprehensive analysis of cutting agents in drug seizures for law enforcement agencies, intelligence and health policy has not been thoroughly investigated in the literature and is the focus of this research. AIM: This research aims at assessing when and how cutting (i.e. adulteration and dilution) occurs in the supply chain by analysing cocaine and heroin seizures made between 2006 and 2015 in Switzerland. METHODS: Cocaine and heroin seizures made along the supply chain by law enforcement agencies in the Western region of Switzerland were investigated for adulteration and dilution. A total number of 7841 cocaine and 3476 heroin specimens coming from 1341 and 721 seizures, respectively, were analysed. RESULTS: The results show that, for both illicit drugs, adulteration and/or dilution occur before arrival into Switzerland as well as in Switzerland. While cocaine is adulterated and diluted, heroin is only adulterated. Interestingly, the same mixture of adulterants (i.e. caffeine-paracetamol) is used to cut heroin at each step in the supply chain. CONCLUSION: Gaining knowledge about adulteration and dilution at different stages in the supply chain enhances our understanding of drug markets. It also highlights differences along the supply chain and in the distribution of both drugs in Switzerland.

The use of wastewater analysis in forensic intelligence: drug consumption comparison between Sydney and different European cities.

Wastewater analysis offers objective and complementary information to illicit drug agencies by monitoring patterns of illicit drug consumption. In this study, wastewater samples from three different wastewater treatment plants in Sydney, Australia were collected in March 2016. Ten targeted drugs were analysed and temporal and geographical analyses were performed to obtain a better understanding of the type and amount of illicit drugs consumed in Sydney in comparison with similar studies conducted around Australia and in Europe. Among the targeted drugs, methamphetamine was consumed the most, followed by cocaine and 3,4-methylenedioxymethamphetamine (MDMA). Weekly patterns were observed where a peak during the weekend was present. The geographical analysis showed differences between the regions targeted. This observation may be related to socio-demographic aspects. The comparison of our study to other data sources from Australia showed a high consumption of methamphetamine in Sydney and Western Australia. The comparison between Sydney and different European cities revealed a difference in consumption, which is in line with traditional market indicators. The information obtained through wastewater analysis provides complementary information regarding illicit drug consumption, the size, and the evolution of the illicit drug market. This, ultimately, will assist authorities in making informed decisions.

Monitoring new psychoactive substances: Exploring the contribution of an online discussion forum.

BACKGROUND: The rapid emergence of new psychoactive substances (NPS) is a challenge for public health authorities and law enforcement. The phenomenon is strengthened since the increase of the Internet usage. Not only used to trade NPS, the Web is an important source of information for both potential drug consumers and experienced users. Discussion forums are among these sources of information. They are meeting points for different groups of users and include a wide range of trip reports, questions and consumption tips. Since the discussions are archived over a long period, they can be used to monitor the interest of consumers for particular substances over time. This research aims at understanding the contribution of data extracted from a major online discussion forum within a systematic monitoring process. METHOD: Data were collected from a discussion forum (i.e. Drugs-forum). Within the sections of the forum, the titles, content of discussion, number of replies, and the date of the first discussion were crawled and stored in a dedicated database. The intensity of the discussions related to 42 substances considered as NPS was measured through an indicator allowing to assess the popularity of substances. Furthermore, the appearance of 15 substances on the forum was compared to the date of formal notification to the EU early warning system. RESULTS: An evolution of the different classes of substances, as well as an evolution of specific substances within a class were highlighted. Some substances were discussed for a long period of time (e.g. Kratom, 25i-NBOMe, MDPV) while others were discussed very briefly (e.g. 5-MeO-DPT, NM-2AI). Out of the fifteen substances subjected to a risk assessment from the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), nine of them appeared on the forum before or at the same time as their first date of notification to the EU early warning system. CONCLUSION: In line with previous research on doping products, this article shows the potential of the monitoring of online forums in the context of psychoactive substances. Besides, the system designed to collect the data is flexible and can be systematically updated to fuel a monitoring process. It informs not only on the presence/absence of a substance in discussions between consumers, but also on its evolution over time. Such results could benefit academic research and organizations studying the NPS phenomenon. Precisely, it could complement existing early warning systems and benefit law enforcement agencies and policy makers.

Forensic drug intelligence and the rise of cryptomarkets. Part II: Combination of data from the physical and virtual markets.

Technology provides new ways to access customers and suppliers while enhancing the security of off-line criminal activity. Since the first cryptomarket, Silk Road, in 2011, cryptomarkets have transformed the traditional drug sale by facilitating the creation of a global network of vendors and buyers. Due to the fragmented nature of traces that result from illegal activities, combining the results of concurrent processes based on traces of different nature should provide supplementary benefit to understand the drug market. This article compares the data of the Australian virtual market (in particular data extracted from cryptomarkets) to the data related to traditional market descriptors, namely national seizures and arrests, prevalence data, shipping countries of seized post shipments as well as outcomes of specific surveys targeting users' behaviour online. Results revealed the domestic nature of the online illicit drug trade in Australia which is dominated by amphetamine-type substances (ATS), in particular methylamphetamine and cannabis. These illicit drugs were also the most seized drugs on the physical market. This article shows that the combination of different information offers a broader perspective of the illicit drug market in Australia and thus provides stronger arguments for policy makers. It also highlights the links between the virtual and physical markets.

Using handwriting to infer a writer's country of origin for forensic intelligence purposes.

Forensic science has traditionally focused the majority of its resources and objectives towards addressing Court-related questions. However, this view restricts the contribution of forensic science to one process and results in a loss of information as the investigative and intelligence roles are largely neglected. A forensic science discipline suffering from this imbalance is handwriting examination, which may be characterised as a time consuming and subjective process that is mostly carried out towards the end of the investigation for the purpose of judicial proceedings. Individual and habitual characteristics are the major handwriting features exploited, however alternate information concerning the author's native language could potentially be used as a key element in an intelligence framework. This research focussed on the detection of characteristics that differentiate Vietnamese and English Australian writers based on their English handwriting. The study began with the extraction of handwriting characteristics from the writing of people from the two populations. The data was analysed using a logistic regression model and a classification and regression tree (CRT). Each recognised four class characteristics that were capable of distinguishing between the two nationalities. The logistic regression and CRT models were both capable of correctly predicting 93% of cases. Their predictive capabilities were then tested and supported using blind exemplars in order to mirror casework settings. It appeared that when using their respective class characteristics, the two models were capable of differentiating English Australians from Vietnamese in the data set. This proof of concept research demonstrated the plausibility of exploiting this additional information from a handwriting trace and taking advantage of it in an intelligence-led framework.

Dataset of coded handwriting features for use in statistical modelling.

The data presented here is related to the article titled, "Using handwriting to infer a writer's country of origin for forensic intelligence purposes" (Agius et al., 2017) [1]. This article reports original writer, spatial and construction characteristic data for thirty-seven English Australian writers and thirty-seven Vietnamese writers. All of these characteristics were coded and recorded in Microsoft Excel 2013 (version 15.31). The construction characteristics coded were only extracted from seven characters, which were: 'g', 'h', 'th', 'M', '0', '7' and '9'. The coded format of the writer, spatial and construction characteristics is made available in this Data in Brief in order to allow others to perform statistical analyses and modelling to investigate whether there is a relationship between the handwriting features and the nationality of the writer, and whether the two nationalities can be differentiated. Furthermore, to employ mathematical techniques that are capable of characterising the extracted features from each participant.