Crime Trends in the EU

The paper’s aim is to show to EU policy makers, academics, journalists and the general public what the available information tells us about crime levels, trends in crime and public opinion about crime among Member States. The paper centres on an analysis of current trends on crime levels and trends based on the data available both from victimisation surveys and police statistics. The victimisation survey source is the published data collected in the International Crime Victimisation Survey. A separate analysis based on the Eurobarometer was also carried out. Data on police statistics present two separate sources i.e. the Council of Europe Sourcebook and the crime data published annually by the UK Home Office. These two sources both add considerable value to the raw police statistics by their choice of data, their commentary and their technical explanations and definitions. The paper compares data on three crime types (robbery, domestic burglary and theft of a motor vehicle) across the 15 Member States of the European Union (as in 2003). These three types were selected in line with the priorities of the EU Commission and as types of crime that are a major concern for EU-citizens. The paper has been modified from a report produced by the European Crime prevention network for the EU Directorate of Justice and Home Affairs with the permission of the EU. The members of the network are listed in the appendix.     

Super Tuesday 1988: Regional Results and National Implications

Fourteen southern and border states established a same-day presidentialprimary on 8 March 1988. This analysis shows that this SuperTuesday, in several senses, was less than super. The resultsturned out to be less satisfying than its Democratic founderspreferred but less upsetting than its critics anticipated. DespiteSuper Tuesday, Iowa and New Hampshire remained dominant in the1988 presidential primaries. Although voter turnout increasedslightly over 1984 and the results contributed mightily towardsettling the nomination in the Republican party, Super Tuesdayneither settled the Democratic nomination nor gave meaningfulmomentum to the more moderate Democratic candidates.     

State Crimes of Previous Regimes: Knowledge, Accountability, and the Policing of the Past

The policy of lustration is set in the context of responses to abuses of power by previous regimes. Using examples from three recent forms of social reconstruction (in Latin America, the former communist states, and South Africa), the author reviews the “justice in transition” debate. How do societies going through democratization confront the human rights violations committed by the previous regime? Five aspects of this debate are reviewed: (1) truth: establishing and confronting the knowledge of what happened in the past; (2) justice: making offenders accountable for their past violations through three possible methods: punishment through the criminal law, compensation and restitution, and mass disqualification such as lustration; (3) impunity: giving amnesty to previous offenders; (4) expiation; and (5) reconciliation and reconstruction. A concluding discussion raises the implications of the subject for the study of time and social control.     

Data sharing

The sharing of research data to permit secondary analyses is rooted in the collegial tradition of science. Recently there has been a gradual shift from viewing data sharing as a voluntary activity to considering sharing as an obligation of researchers. This paper identifies two important dimensions of data sharing: the degree to which the primary investigators may determine whether they will share their data and the reason for which the data set is being requested. In addition to discussing the dimensions of data sharing, the negative aspects of viewing data sharing as an obligation are discussed. These negative factors are increased burden on the primary investigator; lack of incentive to share data; and loss of control over the use of data and negative effects on scientific progress. Recommendations regarding data sharing policies are made in light of these negative effects.