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Research on and practical attention for the coproduction of public services is increasing. Coproduction is seen as a way to strengthen the quality and legitimacy of public service and reduce costs. Scholarship on coproduction of public services repeatedly ignores the role of the new media. This is surprising since many proponents highlight its potential for changing traditional, government‐centric approaches to delivering public services. This article shows that digital communities form an important addition to the government‐centric form of public service provision since they foster both an exchange of experiential information and social‐emotional support.

"European borders that aim to control migration and mobility increasingly rely on technology to distinguish between citizens and aliens. This book explores new tensions in Europe between states and citizens, and between politics, technology and human rights"--Provided by publisher

"European borders that aim to control migration and mobility increasingly rely on technology to distinguish between citizens and aliens. This book explores new tensions in Europe between states and citizens, and between politics, technology and human rights."--

Algorithmic decision-making in government has emerged rapidly in recent years, leading to a surge in attention for this topic by scholars from various fields, including public administration. Recent studies provide crucial yet fragmented insights on how the use of algorithms to support or fully automate decisions is transforming government. This article ties together these insights by applying the theoretical lenses of government legitimacy and institutional design. We identify how algorithmic decision-making challenges three types of legitimacy—input, throughput, and output—and identify institutional arrangements that can mitigate these threats. We argue that there is no silver bullet to maintain legitimacy of algorithmic government and that a multiplicity of different institutional mechanisms is required, ranging from legal structures and civic participation to closer monitoring of algorithmic systems. We conclude with a framework to guide future research to better understand the implications of institutional design for the legitimacy of algorithmic government.

Public organisations increasingly rely on machine learning algorithms in performing many of their core activities. It is therefore important to consider how algorithms are transforming the public sector. This article aims to clarify this by assessing algorithms from a public value perspective. Based on a discussion of the literature, it is demonstrated that algorithms are generally expected to strengthen organisational performance on a first cluster of values related to the ability to be effective and efficient (sigma values). At the same time, the use of algorithms is linked to negatively affect a second cluster of values that involves fairness and transparency (theta values). In the current academic debate little attention is given to an important third cluster of values; the ability of organisations to be adaptive and robust (lambda values). This discussion highlights that algorithms invoke public value opportunities, but also public value risks and trade-offs. This article therefore presents five principles for managing algorithms from a public value perspective.

This article provides a theoretical understanding of the potential contribution of digital platforms to the co-creation of public value. On the basis of insights from different academic disciplines, a layered model is developed for the relations between technology, governance, users and societal outcomes. The theoretical model proposes that these layers can result in basic configurations – consistent combinations of the four elements – but also hybrid configurations. We identify three basic configurations: (1) a closed platform controlled by a private sector organisation, (2) an open platform controlled by a government organisation and (3) an open platform run by a civil society organisation. The configurations are illustrated with examples of digital platforms from all over the world. The configurational understanding of digital platforms for the co-creation of public value provides the basis for a systematic analysis of these rapidly growing practices in countries around the world.