Forensic Evidence in Homicide Investigations and Prosecutions

Even though forensic evidence is collected at virtually every homicide scene, only a few studies have examined its role in investigation and prosecution. This article adds to the literature by providing the results of a study of 294 homicide cases (315 victims) occurring in Cleveland, Ohio, between 2008 and 2011. Through a logistic regression on open versus closed cases, the collection of knives, administration of gunshot residue (GSR) kits, and clothing at the scene were positively and significantly related to case closures, while collection of ballistics evidence and DNA evidence were statistically significant in the opposite direction. With regard to analysis, the clearance rate for cases with probative results (i.e., matches or exclusions) was 63.1% compared to a closure rate of 56.3% for cases without probative results. However, only 23 cases had probative results prior to arrest compared to 128 cases with probative results after arrest.     

My life as a community activist

The author recounts his life and how it led to a career as an activist community psychology practitioner with a focus on issues of social justice. He tells of his upbringing, family and education as the background to a series of positions in various systems. The story shows an evolution from working with individuals to working with whole communities; and from working on issues of remediation and treatment to working on prevention and finally empowerment, social change, and social justice. The story of his life parallels the social issues of the time. Throughout the accounting of his life the author raises the questions that he was struggling with. The sequence of those questions is as follows: Can I emerge as a community leader? What do I do with that leadership? Can my work in psychology have any relationship to the larger social issues? Can my politics, social action and beliefs in social justice, be integrated with my mental health job? Can I find a setting that will tolerate and permit me to do work to create social change and reduce oppression? Can we build competent helping systems with partners from many sectors? Can we mobilize whole communities around community crises? Can we use coalition building to make a difference in quality of life? And finally: How can our spirituality inform our work for social change and how can our social change work to inform our spirituality?     

The Contingency of Voter Learning: How Election Debates Influenced Voters’ Ability and Accuracy to Position Parties in the 2010 Dutch Election Campaign

Election campaigns are expected to inform voters about parties’ issue positions, thereby increasing voters’ ability to influence future policy and thus enhancing the practice of democratic government. We argue that campaign learning is not only contingent on voters’ characteristics and different sources of information, but also on how parties communicate their issue positions in election debates. We combine a two-wave panel survey with content analysis data of three televised election debates. In cross-classified multilevel auto-regression models we examine the influence of these debates in the 2010 Dutch parliamentary election campaign on voters’ knowledge of the positions of eight parties on three issues. The Dutch multiparty system allows us to separate voters’ ability to position parties from their accuracy in ordering these parties. We reach three main conclusions. First, this study shows that voters become more able and accurate during the campaign. However, these campaign learning effects erode after the elections. Second, whereas voters’ attention to campaigns consistently contributes to their ability to position parties, its effect on accuracy is somewhat less consistent. Third, televised election debates contribute to what voters learn. Parties that advocate their issue positions in the debates stimulate debate viewers’ ability to position these parties on these issues. In the face of the complexity of campaigns and debates in multiparty systems, campaigns are more likely to boost voters’ subjective ability to position parties than their accuracy.     

Bioinformatics and human identification in mass fatality incidents: the world trade center disaster

Victim identification initiatives undertaken in the wake of Mass Fatality Incidents (MFIs) where high-body fragmentation has been sustained are often dependent on DNA typing technologies to complete their mandate. The success of these endeavors is linked to the choice of DNA typing methods and the bioinformatic tools required to make the necessary associations. Several bioinformatic tools were developed to assist with the identification of the victims of the World Trade Center attacks, one of the most complex incidents to date. This report describes one of these tools, the Mass Disaster Kinship Analysis Program (MDKAP), a pair-wise comparison software designed to handle large numbers of complete or partial Short Tandem Repeats (STR) genotypes, and infer identity of, or biological relationships between tested samples. The software performs all functions required to take full advantage of the information content of processed genotypic data sets from large-scale MFIs, including the collapse of victims data sets, remains re-association, virtual genotype generation through gap-filling, parentage trio searching, and a consistency check of reported/inferred biological relationships within families. Although very few WTC victims were genetically related, the software can detect parentage trios from within a victim's genotype data set through a nontriangulated approach that screens all possible parentage trios. All software-inferred relationships from WTC data were confirmed by independent statistical analysis. With a 13 STR loci complement, a fortuitous parentage trio (FPT) involving nonrelated individuals was detected. Additional STR loci would be required to reduce the risk of an FPT going undetected in large-scale MFIs involving related individuals among the victims. Kinship analysis has proven successful in this incident but its continued success in larger scale MFIs is contingent on the use of a sufficient number of STR loci to reduce the risk of undetected FPTs, the use of mtDNA and Y-STRs to confirm parentage and of bioinformatics that can support large-scale comparative genotyping schemes capable of detecting parentage trios from within a group of related victims.     

Inaccurate Conception: ACB v Thomson Medical

This note considers the decision of the Singapore Court of Appeal in ACB v Thomson Medical in which the plaintiff sought damages for the upkeep costs of a child conceived using sperm from someone other than her husband as a result of negligence by a fertility clinic. The Court held that upkeep costs could not be recovered as a matter of public policy, but recognised a new head of loss, namely damages for loss of genetic affinity. In a controversial ruling, the Court quantified these damages at thirty per cent of the upkeep costs of the child. While holding that punitive damages could be recovered outside the categories recognised in Rookes v Barnard, the Court rejected such an award on the facts of the case.     

Abortion in Northern Ireland: Has the Rubicon Been Crossed?

On 7 June 2018, the Supreme Court delivered their long anticipated ruling on whether the abortion laws in Northern Ireland are compatible with the European Convention on Human Rights. Although the case was dismissed on procedural grounds, a majority of the court held that, obiter, the current Northern Irish law was incompatible with the right to respect for private and family life, protected by Article 8 ECHR, “insofar as it prohibits abortion in cases of rape, incest and fatal foetal abnormality”. This Supreme Court decision, seen alongside the May 2018 Irish referendum liberalising abortion, and the 5 June 2018 Parliamentary debate seeking to liberalise abortion laws in Northern Ireland and the rest of the UK, places renewed focus upon the abortion laws of Northern Ireland and Great Britain, which suggests that the ‘halfway house’ of the Abortion Act 1967 Act finally be close to being reformed to hand the decision of abortion to women themselves.     

Criminals and the Price System: Evidence from Czech Metal Thieves

Objectives

This paper tests the economic theory of criminal behavior. Specifically, it looks at “the carrot” side of the theory, studying how thieves react to changes in monetary gains from crime.

Methods

Using a unique crime-level dataset on metal theft in the Czech Republic, we study thieves’ behavior in a simple regression framework. We argue that variation in metal prices represents a quasi-experimental variation in gains from crime. It is because (1) people steal copper and other nonferrous metals only to sell them to scrapyard and (2) prices at scrapyards are set by the world market. This facilitates causal interpretation of our regression estimates.

Results

We find that a 1% increase (decrease) in the re-sale price causes metal thefts to increase (decrease) by 1–1.5%. We show that the relationship between prices and thefts is very robust. Moreover, we find that thieves’ responses to price shocks are rapid and consistent.

Conclusion

Our results are in line with the economic model of crime, wherein criminal behavior is modeled as a rational agent’s decision driven by the costs and benefits of undertaking criminal activities. Our estimates are also consistent with recent results from the United Kingdom, suggesting these patterns are more general.

     

Are DNA data a valid source to study the spatial behavior of unknown offenders?

Studying the spatial behaviour of unknown offenders (i.e. undetected offenders) is difficult, because police recorded crime data do not contain information about these offenders. Recently, forensic DNA data has been used to study unknown offenders. However, DNA data are only a subset of the crimes committed by unknown offenders stored in police recorded crime data. To establish the suitability of DNA data for studying the spatial offending behaviour of unknown offenders, we examine the concentration and spatial similarity of detected but unsolved crimes in police recorded crime data (N?=?181,483) and DNA data (N?=?1913) over 27 Belgian judicial districts for four crime types. We established spatial similarity for certain crime types (in some districts). This offers opportunities for DNA data to be used to study unknown offenders' spatial offending behaviour. Implications for theory and research are discussed.     

The government behind insurance governance: Lessons for ransomware

The insurance as governance literature focuses on the ability of private enterprises to collectively regulate, pool, and distribute risks. This paper analyzes how governments support insurance markets to maintain insurability and limit risks to society. We propose a new conceptual framework grouping government interventions into three dimensions: regulation of risky activity, public investment in risk reduction, and co-insurance. We apply this framework to six case studies, describing insurance markets' reliance on public support in more analytically precise terms. We analyze how mature insurance markets overcame insurability challenges akin to those currently presented by extortive cybercrime. Private governance struggled when markets grew too big for informal coordination or when (tail) risks escalated. Government interventions vary widely. Some governments prioritize supporting economic activity while others concentrate on containing risks. Governments also choose between risk reduction and ex post socialization of losses. We apply these insights to the market for ransomware insurance, discussing the merits and potential hazards of current proposals for government intervention.