CRIMINAL JUSTICE, VICTIM SUPPORT CENTERS, AND THE EMOTIONAL WELLBEING OF CRIME VICTIMS

SUMMARY (Français au-dessous)After the Second World War, the role of the victim in criminal conflict became an objectof interest for academics. But it was only in the 1960s that the importance of providingprotection and assistance to crime victims was highlighted in particular by the victims'movement, which inaugurated a new era of criminal justice in systems throughout the world.Moving beyond just the role of controlling crime and punishing the offender, the criminaljustice system also began to contribute to the victims' rehabilitation and to help the victim tomove on from the event psychologically and emotionally.Although some criminological research has been conducted, to date the effect that thecriminal justice system and victim support services have on the well-being of crime victims isstill uncertain.The current study sought to understand better the healing process of victims of crime, thepotential consequences of their participation on the criminal justice system, and the supportof victim centers. Moreover, it aimed to find out whether the existence of a Victim SupportAct would change the treatment that the victim receives in the criminal justice system. Thusthis research was conducted based in two countries - Switzerland and Brazil - where theoutcome of the victims' movement on the criminal justice system was different, as was theparticipation of the victim in the criminal justice system and the government's provision ofsupport.In order to conduct this research we employed the qualitative method, which is the mostefficient to gather sensitive information. Interviews with crime victims were the main sourceof information. Hearing observation and document research were used as complementarysources.The results of this research show that victims who have contact with the criminal justicesystem and victim services are not more likely to recover than those who had no contact. Thisis to say, the support offered has no major effects; the influence of the criminal justice systemand the victim support services in the emotional well-being of crime victims is rather neutral.However, considering that the sample is not representative, findings are not expected to begeneralized. Instead, findings may give insight to practitioners or to future criminal justicepolicy makers, suggesting what may work to improve the emotional well-being of crimevictims, as well as suggesting further studies.________________________________________________________________________________RÉSUMÉAprès la deuxième guerre mondiale, le rôle de la victime est devenu un objet d'intérêtpour les académiciens. Par contre, c'est seulement dans les années 60 que l'importance defournir de la protection et de l'appui aux victimes d'infractions a été accentuée, en particulierpar un mouvement ― victims' mouvement ―, qui a inauguré un nouveau temps dans lajustice pénale des systèmes juridiques du monde entier. A part la fonction de contrôler lecrime et de punir le délinquant, le système de justice pénale joue également un rôle dans laréhabilitation des victimes.Malgré la réalisation de plusieurs recherches criminologiques sur ce sujet, les effets que lesystème de la justice pénale et les centres d'aides aux victimes ont sur le bien-être desvictimes d'infractions est encore incertain.Ainsi cette étude cherche à mieux comprendre le processus de réhabilitation des victimesd'infraction, les conséquences de leur participation dans le système de justice pénale ainsique la portée de l'appui des centres d'aide. De plus, l'étude vise à découvrir si l'existenced'une loi d'aide aux victimes, particulièrement la Loi d'Aide aux Victimes d'InfractionsLAVI, est susceptible de changer le traitement que la victime reçoit dans le système de lajustice pénale. Pour cela, elle a été conduite dans deux pays - la Suisse et le Brésil - où lesconséquences du mouvement des victimes sur le système de la justice pénale a eu undéveloppement différent; il en va de même pour la participation de la victime dans laprocédure pénale et pour l'appui offert par l'Etat.Cette étude utilise la méthode qualitative qui est la plus efficace pour le recueild'informations sensibles. La plus importante source des données sont les interviews avec lesvictimes. L'observation des audiences et l'analyse de documents ont été utilisés en tant quesources d'information complementáire.Les résultats de cette recherche montrent que les victimes qui ont porté plainte et qui ontreçu l'appui des centres d'aides ne sont pas mieux rétablies que celles qui n'ont rien fait. C'estainsi que nous avons conclu que les services offerts n'ont aucune influence dans ce processus.Cependant, considérant que notre échantillon n'est pas représentatif, il n'est pas possible degénéraliser nos résultats. Néanmoins, ceux-ci peuvent éclairer les praticiens ou les futursdécideurs politiques de la justice pénale, suggérant ce qui peut fonctionner pour lerétablissement des victimes d'infraction, aussi bien que suggérer d'autres études.

First nationwide study on driving under the influence of drugs in Switzerland.

In Switzerland, a two-tier system based on impairment by any psychoactive substances which affect the capacity to drive safely and zero tolerance for certain illicit drugs came into force on 1 January 2005. According to the new legislation, the offender is sanctioned if Delta(9)-tetrahydrocannabinol THC is >or=1.5ng/ml or amphetamine, methamphetamine, 3,4-methylenedioxymethamphetamine (MDMA), 3,4-methylenedioxyethylamphetamine (MDEA), cocaine, free morphine are >or=15ng/ml in whole blood (confidence interval+/-30%). For all other psychoactive substances, impairment must be proven in applying the so-called "three pillars expertise". At the same time the legal blood alcohol concentration (BAC) limit for driving was lowered from 0.80 to 0.50g/kg. The purpose of this study was to analyze the prevalence of drugs in the first year after the introduction of the revision of the Swiss Traffic Law in the population of drivers suspected of driving under the influence of drugs (DUID). A database was developed to collect the data from all DUID cases submitted by the police or the Justice to the eight Swiss authorized laboratories between January and December 2005. Data collected were anonymous and included the age, gender, date and time of the event, the type of vehicle, the circumstances, the sampling time and the results of all the performed toxicological analyses. The focus was explicitly on DUID; cases of drivers who were suspected to be under the influence of ethanol only were not considered. The final study population included 4794 DUID offenders (4243 males, 543 females). The mean age of all drivers was 31+/-12 years (range 14-92 years). One or more psychoactive drugs were detected in 89% of all analyzed blood samples. In 11% (N=530) of the samples, neither alcohol nor drugs were present. The most frequently encountered drugs in whole blood were cannabinoids (48% of total number of cases), ethanol (35%), cocaine (25%), opiates (10%), amphetamines (7%), benzodiazepines (6%) and methadone (5%). Other medicinal drugs such as antidepressants and benzodiazepine-like were detected less frequently. Poly-drug use was prevalent but it may be underestimated because the laboratories do not always analyze all drugs in a blood sample. This first Swiss study points out that DUID is a serious problem on the roads in Switzerland. Further investigations will show if this situation has changed in the following years.

Do Agglomeration Economies Reduce the Sensitivity of Firm Location to Tax Differentials?

Recent theoretical work in economic geography has shown that agglomeration forces can mitigate 'race-to-the-bottom' tax competition, by partly or fully offsetting firms' sensitivity to tax differentials. We test this proposition using data on firm births across Swiss municipalities. We find that corporate taxes deter firm births less in more spatially concentrated sectors. Firms in sectors with an agglomeration intensity in the top quintile are less than half as responsive to differences in corporate tax burdens as firms in sectors with an agglomeration intensity in the bottom quintile. Hence, agglomeration economies do appear to attenuate the impact of tax differentials on firms' location choices.

Workgroup report: incorporating in vitro alternative methods for developmental neurotoxicity into international hazard and risk assessment strategies.

This is the report of the first workshop on Incorporating In Vitro Alternative Methods for Developmental Neurotoxicity (DNT) Testing into International Hazard and Risk Assessment Strategies, held in Ispra, Italy, on 19-21 April 2005. The workshop was hosted by the European Centre for the Validation of Alternative Methods (ECVAM) and jointly organized by ECVAM, the European Chemical Industry Council, and the Johns Hopkins University Center for Alternatives to Animal Testing. The primary aim of the workshop was to identify and catalog potential methods that could be used to assess how data from in vitro alternative methods could help to predict and identify DNT hazards. Working groups focused on two different aspects: a) details on the science available in the field of DNT, including discussions on the models available to capture the critical DNT mechanisms and processes, and b) policy and strategy aspects to assess the integration of alternative methods in a regulatory framework. This report summarizes these discussions and details the recommendations and priorities for future work.

Opinions on smoking policies in Switzerland

Purpose: to assess the opinions regarding smoking ban policies in Switzerland. Methods: cross sectional study on 2,601 women and 2,398 men, aged 35-75 years, living in Lausanne, Switzerland. Nine questions on smoking policies (restrictions, advertising, taxes and prevention) were applied. Results: 95% of responders supported policies that would help smokers to quit, 92% supported no selling of tobacco to subjects aged less than 16 years, 87% a smoking ban in public places and 86% a national campaign against smoking. A further 77% supported a total ban on tobacco advertising, 74% the reimbursement of nicotine replacement therapies and 70% increasing the price of cigarettes. Conversely, a lower support was found for a total ban of tobacco sales (35%) or the promotion of light cigarettes (22%). Multivariate analysis showed that women, lower educational level, older age, being physically active or non-smoker were associated with tougher policies against tobacco, whereas current drinking or smoking and higher educational level were associated with lower levels of support. Conclusion: opinions regarding smoking poli ci es vary considerably according to the policy type considered and also the characteristics of the subjects. Those findings provide interesting data regarding which anti-smoking policies would be more acceptable by the lay public, as well as the subjects who might oppose them.

Community Policing in Switzerland's Major Urban Areas: An Observational Study of the Implementation and Impact Using Geospatial Data Mining

La présente étude est à la fois une évaluation du processus de la mise en oeuvre et des impacts de la police de proximité dans les cinq plus grandes zones urbaines de Suisse - Bâle, Berne, Genève, Lausanne et Zurich. La police de proximité (community policing) est à la fois une philosophie et une stratégie organisationnelle qui favorise un partenariat renouvelé entre la police et les communautés locales dans le but de résoudre les problèmes relatifs à la sécurité et à l'ordre public. L'évaluation de processus a analysé des données relatives aux réformes internes de la police qui ont été obtenues par l'intermédiaire d'entretiens semi-structurés avec des administrateurs clés des cinq départements de police, ainsi que dans des documents écrits de la police et d'autres sources publiques. L'évaluation des impacts, quant à elle, s'est basée sur des variables contextuelles telles que des statistiques policières et des données de recensement, ainsi que sur des indicateurs d'impacts construit à partir des données du Swiss Crime Survey (SCS) relatives au sentiment d'insécurité, à la perception du désordre public et à la satisfaction de la population à l'égard de la police. Le SCS est un sondage régulier qui a permis d'interroger des habitants des cinq grandes zones urbaines à plusieurs reprises depuis le milieu des années 1980. L'évaluation de processus a abouti à un « Calendrier des activités » visant à créer des données de panel permettant de mesurer les progrès réalisés dans la mise en oeuvre de la police de proximité à l'aide d'une grille d'évaluation à six dimensions à des intervalles de cinq ans entre 1990 et 2010. L'évaluation des impacts, effectuée ex post facto, a utilisé un concept de recherche non-expérimental (observational design) dans le but d'analyser les impacts de différents modèles de police de proximité dans des zones comparables à travers les cinq villes étudiées. Les quartiers urbains, délimités par zone de code postal, ont ainsi été regroupés par l'intermédiaire d'une typologie réalisée à l'aide d'algorithmes d'apprentissage automatique (machine learning). Des algorithmes supervisés et non supervisés ont été utilisés sur les données à haute dimensionnalité relatives à la criminalité, à la structure socio-économique et démographique et au cadre bâti dans le but de regrouper les quartiers urbains les plus similaires dans des clusters. D'abord, les cartes auto-organisatrices (self-organizing maps) ont été utilisées dans le but de réduire la variance intra-cluster des variables contextuelles et de maximiser simultanément la variance inter-cluster des réponses au sondage. Ensuite, l'algorithme des forêts d'arbres décisionnels (random forests) a permis à la fois d'évaluer la pertinence de la typologie de quartier élaborée et de sélectionner les variables contextuelles clés afin de construire un modèle parcimonieux faisant un minimum d'erreurs de classification. Enfin, pour l'analyse des impacts, la méthode des appariements des coefficients de propension (propensity score matching) a été utilisée pour équilibrer les échantillons prétest-posttest en termes d'âge, de sexe et de niveau d'éducation des répondants au sein de chaque type de quartier ainsi identifié dans chacune des villes, avant d'effectuer un test statistique de la différence observée dans les indicateurs d'impacts. De plus, tous les résultats statistiquement significatifs ont été soumis à une analyse de sensibilité (sensitivity analysis) afin d'évaluer leur robustesse face à un biais potentiel dû à des covariables non observées. L'étude relève qu'au cours des quinze dernières années, les cinq services de police ont entamé des réformes majeures de leur organisation ainsi que de leurs stratégies opérationnelles et qu'ils ont noué des partenariats stratégiques afin de mettre en oeuvre la police de proximité. La typologie de quartier développée a abouti à une réduction de la variance intra-cluster des variables contextuelles et permet d'expliquer une partie significative de la variance inter-cluster des indicateurs d'impacts avant la mise en oeuvre du traitement. Ceci semble suggérer que les méthodes de géocomputation aident à équilibrer les covariables observées et donc à réduire les menaces relatives à la validité interne d'un concept de recherche non-expérimental. Enfin, l'analyse des impacts a révélé que le sentiment d'insécurité a diminué de manière significative pendant la période 2000-2005 dans les quartiers se trouvant à l'intérieur et autour des centres-villes de Berne et de Zurich. Ces améliorations sont assez robustes face à des biais dus à des covariables inobservées et covarient dans le temps et l'espace avec la mise en oeuvre de la police de proximité. L'hypothèse alternative envisageant que les diminutions observées dans le sentiment d'insécurité soient, partiellement, un résultat des interventions policières de proximité semble donc être aussi plausible que l'hypothèse nulle considérant l'absence absolue d'effet. Ceci, même si le concept de recherche non-expérimental mis en oeuvre ne peut pas complètement exclure la sélection et la régression à la moyenne comme explications alternatives. The current research project is both a process and impact evaluation of community policing in Switzerland's five major urban areas - Basel, Bern, Geneva, Lausanne, and Zurich. Community policing is both a philosophy and an organizational strategy that promotes a renewed partnership between the police and the community to solve problems of crime and disorder. The process evaluation data on police internal reforms were obtained through semi-structured interviews with key administrators from the five police departments as well as from police internal documents and additional public sources. The impact evaluation uses official crime records and census statistics as contextual variables as well as Swiss Crime Survey (SCS) data on fear of crime, perceptions of disorder, and public attitudes towards the police as outcome measures. The SCS is a standing survey instrument that has polled residents of the five urban areas repeatedly since the mid-1980s. The process evaluation produced a "Calendar of Action" to create panel data to measure community policing implementation progress over six evaluative dimensions in intervals of five years between 1990 and 2010. The impact evaluation, carried out ex post facto, uses an observational design that analyzes the impact of the different community policing models between matched comparison areas across the five cities. Using ZIP code districts as proxies for urban neighborhoods, geospatial data mining algorithms serve to develop a neighborhood typology in order to match the comparison areas. To this end, both unsupervised and supervised algorithms are used to analyze high-dimensional data on crime, the socio-economic and demographic structure, and the built environment in order to classify urban neighborhoods into clusters of similar type. In a first step, self-organizing maps serve as tools to develop a clustering algorithm that reduces the within-cluster variance in the contextual variables and simultaneously maximizes the between-cluster variance in survey responses. The random forests algorithm then serves to assess the appropriateness of the resulting neighborhood typology and to select the key contextual variables in order to build a parsimonious model that makes a minimum of classification errors. Finally, for the impact analysis, propensity score matching methods are used to match the survey respondents of the pretest and posttest samples on age, gender, and their level of education for each neighborhood type identified within each city, before conducting a statistical test of the observed difference in the outcome measures. Moreover, all significant results were subjected to a sensitivity analysis to assess the robustness of these findings in the face of potential bias due to some unobserved covariates. The study finds that over the last fifteen years, all five police departments have undertaken major reforms of their internal organization and operating strategies and forged strategic partnerships in order to implement community policing. The resulting neighborhood typology reduced the within-cluster variance of the contextual variables and accounted for a significant share of the between-cluster variance in the outcome measures prior to treatment, suggesting that geocomputational methods help to balance the observed covariates and hence to reduce threats to the internal validity of an observational design. Finally, the impact analysis revealed that fear of crime dropped significantly over the 2000-2005 period in the neighborhoods in and around the urban centers of Bern and Zurich. These improvements are fairly robust in the face of bias due to some unobserved covariate and covary temporally and spatially with the implementation of community policing. The alternative hypothesis that the observed reductions in fear of crime were at least in part a result of community policing interventions thus appears at least as plausible as the null hypothesis of absolutely no effect, even if the observational design cannot completely rule out selection and regression to the mean as alternative explanations.

Employment risk, unemployment insurance and search strategies: a disaggregated equilibrium approach with application to the Swiss labour market in the 1990-ies

The Organization of the Thesis The remainder of the thesis comprises five chapters and a conclusion. The next chapter formalizes the envisioned theory into a tractable model. Section 2.2 presents a formal description of the model economy: the individual heterogeneity, the individual objective, the UI setting, the population dynamics and the equilibrium. The welfare and efficiency criteria for qualifying various equilibrium outcomes are proposed in section 2.3. The fourth section shows how the model-generated information can be computed. Chapter 3 transposes the model from chapter 2 in conditions that enable its use in the analysis of individual labor market strategies and their implications for the labor market equilibrium. In section 3.2 the Swiss labor market data sets, stylized facts, and the UI system are presented. The third section outlines and motivates the parameterization method. In section 3.4 the model's replication ability is evaluated and some aspects of the parameter choice are discussed. Numerical solution issues can be found in the appendix. Chapter 4 examines the determinants of search-strategic behavior in the model economy and its implications for the labor market aggregates. In section 4.2, the unemployment duration distribution is examined and related to search strategies. Section 4.3 shows how the search- strategic behavior is influenced by the UI eligibility and section 4.4 how it is determined by individual heterogeneity. The composition effects generated by search strategies in labor market aggregates are examined in section 4.5. The last section evaluates the model's replication of empirical unemployment escape frequencies reported in Sheldon [67]. Chapter 5 applies the model economy to examine the effects on the labor market equilibrium of shocks to the labor market risk structure, to the deep underlying labor market structure and to the UI setting. Section 5.2 examines the effects of the labor market risk structure on the labor market equilibrium and the labor market strategic behavior. The effects of alterations in the labor market deep economic structural parameters, i.e. individual preferences and production technology, are shown in Section 5.3. Finally, the UI setting impacts on the labor market are studied in Section 5.4. This section also evaluates the role of the UI authority monitoring and the differences in the Way changes in the replacement rate and the UI benefit duration affect the labor market. In chapter 6 the model economy is applied in counterfactual experiments to assess several aspects of the Swiss labor market movements in the nineties. Section 6.2 examines the two equilibria characterizing the Swiss labor market in the nineties, the " growth" equilibrium with a "moderate" UI regime and the "recession" equilibrium with a more "generous" UI. Section 6.3 evaluates the isolated effects of the structural shocks, while the isolated effects of the UI reforms are analyzed in section 6.4. Particular dimensions of the UI reforms, the duration, replacement rate and the tax rate effects, are studied in section 6.5, while labor market equilibria without benefits are evaluated in section 6.6. In section 6.7 the structural and institutional interactions that may act as unemployment amplifiers are discussed in view of the obtained results. A welfare analysis based on individual welfare in different structural and UI settings is presented in the eighth section. Finally, the results are related to more favorable unemployment trends after 1997. The conclusion evaluates the features embodied in the model economy with respect to the resulting model dynamics to derive lessons from the model design." The thesis ends by proposing guidelines for future improvements of the model and directions for further research.

Intelligence-led crime scene processing. Part II : Intelligence and crime scene examination.

A better integration of the information conveyed by traces within intelligence-led framework would allow forensic science to participate more intensively to security assessments through forensic intelligence (part I). In this view, the collection of data by examining crime scenes is an entire part of intelligence processes. This conception frames our proposal for a model that promotes to better use knowledge available in the organisation for driving and supporting crime scene examination. The suggested model also clarifies the uncomfortable situation of crime scene examiners who must simultaneously comply with justice needs and expectations, and serve organisations that are mostly driven by broader security objectives. It also opens new perspective for forensic science and crime scene investigation, by the proposal to follow other directions than the traditional path suggested by dominant movements in these fields.

Evidential relevance in scene to offender transfer cases: development and analysis of a likelihood ratio for offence level propositions

The present paper focuses on the analysis and discussion of a likelihood ratio (LR) development for propositions at a hierarchical level known in the context as 'offence level'. Existing literature on the topic has considered LR developments for so-called offender to scene transfer cases. These settings involve-in their simplest form-a single stain found on a crime scene, but with possible uncertainty about the degree to which that stain is relevant (i.e. that it has been left by the offender). Extensions to multiple stains or multiple offenders have also been reported. The purpose of this paper is to discuss a development of a LR for offence level propositions when case settings involve potential transfer in the opposite direction, i.e. victim/scene to offender transfer. This setting has previously not yet been considered. The rationale behind the proposed LR is illustrated through graphical probability models (i.e. Bayesian networks). The role of various uncertain parameters is investigated through sensitivity analyses as well as simulations.

Health care renunciation for economic reasons in Switzerland.

BACKGROUND: Most societies elaborate ways to contain increasing health care expenditures. In Switzerland out of pocket payments and cuts in the catalogue of reimbursed services are used as cost-containment measures. The aims of the study were to estimate the extent of health care renunciation for economic reasons and to identify associated factors. METHODS: A population-based cross-sectional survey (2008-2009) of a representative sample in the Canton of Geneva, Switzerland. Health care underuse, income level categories (<CHF 3000/month, 3000-4999, 5000-6999, 7000-9499, 9500-13 000, >13 000), education, occupation, insurance status and cardiovascular comorbidities were collected using self-rated questionnaires. RESULTS: 765 men and 814 women aged 35-74 years participated. 14.5% (229/1579) (95%CI 12.7-16.2) renounced health care for economic reasons. Among those who renounced (N = 229), 74% renounced dental care, 37% physician consultation (22% specialist, 15% general practitioner), 26% health devices, 13% medication, and 5% surgery. Income was negatively correlated with renouncement (r = -0.18, p <.0001). Each decrease in income level category provided a 48% increased risk of renouncing health care for economic reasons (OR 1.48, 1.31-1.65). This association remained when dental care was excluded from the definition of health care renunciation. CONCLUSIONS: In a region of Switzerland with a high cost of living, such as Geneva, socioeconomic status may influence the use of the health care system, and renunciation for economic reasons was not uncommon. More than 30% of the lowest income group renounced health care for economical reasons in the previous year. Health care underuse and renunciation may worsen the health status of a substantial part of society.

Do we fear tax competition among new and old European countries ?

The purpose of this paper is to study both theoretically and empirically tax competition in the enlarged EU and to provide some insights on ongoing reforms concerning business taxation. We support the idea that even if one can observe cuts in "new" members statutory business tax rates, this should not result in fiercer tax competition between the "core" and "the "periphery" since infrastructure endowments and the existence of agglomeration rents in the core of the EU may prevent (at least partially) activities to relocate to the "new" members.

Programme latin de don d'organes (PLDO): une initiative efficace pour augmenter les dons d'organes en Suisse [Latin organ donation programme (LODP): an effective initiative to increase organ donation in Switzerland].

The 1st federal transplant law was enforced in July 2007 with the obligation to promote quality and efficiency in the procedures for organ and tissue donation for transplantation. The Latin organ donation programme (LODP) created in 2008 aims to develop organ donation in 17 public hospitals in 7 Latin cantons, covering 2.2 million people; 29% of the Swiss population. The implementation of various effective measures by the LODP enabled the increase in the number of donors by 70% between 2008 and 2010, with four organs procured per donor; greatly exceeding the European average of three. The results show that LODP has successfully professionalised the system and we can only hope that similar organisations will be put into place throughout Switzerland.

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).

What is the value of forensic science? : an overview of the effectiveness of forensic science in the Australian criminal justice system project

Forensic science is increasingly relied upon by law enforcement to assist in solvingcrime and gaining convictions, and by the judicial system in the adjudication ofspecific criminal cases. However, the value of forensic science relative to the workinvolved and the outcome of cases has yet to be established in the Australiancontext. Previous research in this area has mainly focused on the science andtechnology, rather than examining how people can use forensic services/science tothe best possible advantage to produce appropriate justice outcomes. This fiveyearproject entails an investigation into the effectiveness of forensic science inpolice investigations and court trials. It aims to identify when, where and howforensic science can add value to criminal investigations, court trials and justiceoutcomes while ensuring the efficient use of available resources initially in theVictorian and the ACT criminal justice systems and ultimately across Australiaand New Zealand. This paper provides an overview of the rationale and aims ofthe research project and discusses current work-in-progress.