Activation Reform and Inter-Agency Co-operation - Local Consequences of Mixed Modes of Governance in Sweden

2015 ◽  
Vol 50 (1) ◽  
pp. 19-38 ◽  
Author(s):  
Martin Qvist
Author(s):  
Markus D. Dubber

The first part of Dual Penal State investigated various ways in which criminal law doctrine and scholarship (or “science”) have failed to address the challenge of legitimating penal power in a modern liberal democratic state. This, second, part explores an alternative approach to criminal law discourse that puts the legitimacy challenge of modern penal law front and center: critical analysis of criminal law in a dual penal state. Dual penal state analysis differentiates between penal law and penal police, two conceptions of penal power, and state power more generally, rooted in autonomy, equality, and interpersonal respect, on one hand, and in heteronomy, hierarchy, and patriarchal power, on the other. Chapter 4 applies the distinction between law and police as fundamental modes of governance set out in Chapter 3 to the penal realm and explores the tension between penal law and penal police as constituting the dual penal state.


Author(s):  
John Danaher

There is a growing sense of unease around algorithmic modes of governance (“algocracies”) and their impact on freedom. Contrary to the emancipatory utopianism of digital enthusiasts, many now fear that the rise of algocracies will undermine our freedom. Nevertheless, there has been some struggle to explain exactly how this will happen. This chapter tries to address the shortcomings in the existing discussion by arguing for a broader conception of freedom as well as a broader conception of algocracy. Broadening the focus in this way enables one to see how algorithmic governance can be both emancipatory and enslaving, and provides a framework for future development and activism around the creation of this technology.


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6674
Author(s):  
Sebastian Hoffmann ◽  
Fabian Adelt ◽  
Johannes Weyer

This paper presents an agent-based model (ABM) for residential end-users, which is part of a larger, interdisciplinary co-simulation framework that helps to investigate the performance of future power distribution grids (i.e., smart grid scenarios). Different modes of governance (strong, soft and self-organization) as well as end-users’ heterogeneous behavior represent key influential factors. Feedback was implemented as a measure to foster grid-beneficial behavior, which encompasses a range of monetary and non-monetary incentives (e.g., via social comparison). The model of frame selection (MFS) serves as theoretical background for modelling end-users’ decision-making. Additionally, we conducted an online survey to ground the end-user sub-model on empirical data. Despite these empirical and theoretical foundations, the model presented should be viewed as a conceptual framework, which requires further data collection. Using an example scenario, representing a lowly populated residential area (167 households) with a high share of photovoltaic systems (30%), different modes of governance were compared with regard to their suitability for improving system stability (measured in cumulated load). Both soft and strong control were able to decrease overall fluctuations as well as the mean cumulated load (by approx. 10%, based on weekly observation). However, we argue that soft control could be sufficient and more societally desirable.


1989 ◽  
Vol 34 (1) ◽  
pp. 65-86 ◽  
Author(s):  
T.M. Maccagno ◽  
J.F. Knott

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