Introduction to the special issue on science fiction

This introduction to a special issue of Thesis Eleven devoted to science fiction begins by exploring the way the genre has been handled by German and French critical theory and their Anglophone equivalents. It proceeds to a discussion of the historical sociology of the genre and, thence, to an account of what it terms the dialectic of science fiction endangerment. Finally, it concludes with a brief overview of the various contributions to the issue.

Correctional psychology and the desistance paradigm: commentary for the special issue of Criminal justice and behavior

Let me begin this commentary by suggesting that many of the ideas contained in this special issue will be important to the future of correctional psychology. Although each of the authors offer different perspectives on the role that the criminal justice system has to play in the process of desistance from crime, they all identify the importance of a valueoriented analysis to effective offender rehabilitation. Their focus is on promoting desistance at all points of the justice process; from how the legal system can promote therapeutic outcomes through to the provision of post-release support services and the need for community engagement. By approaching the tasks of both rehabilitation and reintegration from a values perspective, they have been able to identify a range of novel and innovative approaches that have the potential to make a real difference. Even more encouragingly, these draw on resources that may already be available to correctional psychologists and yet are often underutilized. In addition, the confidence, and indeed the optimism, expressed in these articles provides a refreshing counter to suggestions that contemporary correctional practice has become pre-occupied with the need to “manage” offenders and for professionals to focus on fulfilling their administrative obligations (see Hardy, 2014).

Special issue : Big data and cloud computing challenges

This special issue aims to discuss the issues and challenges in maintaining big data, which is now becoming a major issue for our technical environments. It will address the emerging problems of the 5 Vs of the data landscape: volume, variety, velocity, veracity and value.