6 research outputs found

    France, universal jurisdiction and Rwandan génocidaires: the Simbikangwa trial

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    YesIn 2014, twenty years after the Rwandan genocide, the first trial took place in France of a Rwandan génocidaire, Pascal Simbikangwa, despite the presence on French territory of a number of genocide suspects for many years, various extradition requests by Rwanda – declined by France – and numerous arrests and investigations. This article looks at issues of jurisdiction regarding the Simbikangwa case and the reasons the French courts heard his case, and examines some issues which may be of significance in the choice of arena for the bringing to justice of Rwandans genocide suspects living in France in future

    How far has the International Criminal Tribunal for Rwanda really come since Akayesu in the prosecution and investigation of sexual offences committed against women? An analysis of Ndindiliyimana et al

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    YesDuring the first trial before the International Criminal Tribunal for Rwanda (ICTR), that of Jean-Paul Akayesu, it became evident that many Tutsi and moderate Hutu women had been raped, that “rape was the rule and its absence was the exception”.1 Although, initially, not a single charge of sexual violence was proffered against Akayesu, presiding judge Navanethem Pillay interrupted the proceedings, allowing ICTR prosecutors to amend the indictment and include counts of rape and sexual violence. Akayesu subsequently became the first case to recognise the concept of genocidal rape. However, post-Akayesu, comparatively few defendants appearing before the ICTR have been convicted of sexual violence. An analysis of the recent case of Ndindiliyimana et al2 reveals that major shortcomings beset the investigation and prosecution procedures, so that crimes of sexual violence go unpunished, although research suggests that adequate legislation is in place at the ICTR to prosecute rape and sexual violence successfully

    A transient search using combined human and machine classifications

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    Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort has been put into the development of automatic algorithms, but surveys still rely on human review of targets. This paper presents an integrated system for the identification of supernovae in data from Pan-STARRS1, combining classifications from volunteers participating in a citizen science project with those from a convolutional neural network. The unique aspect of this work is the deployment, in combination, of both human and machine classifications for near real-time discovery in an astronomical project. We show that the combination of the two methods outperforms either one used individually. This result has important implications for the future development of transient searches, especially in the era of Large Synoptic Survey Telescope and other large-throughput surveys
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