Abstract In recent years , local authorities in the UK have begun to adopt a variety of “smart” technological changes enhance service delivery. These are having profound impacts on structure public administration. Focusing particular case artificial intelligence specifically autonomous agents and predictive analytics combination desk research survey questionnaire interviews were used better understand extent nature these government. Findings suggest that beginning smart technologies an...

In recent years, local government is undergoing changes which are strongly influenced by the growing digitization of governmental operations. Key features Digital Era Governance (DEG) appear to be displacing New Public Management (NPM) and also challenging some underlying aspects Weberian bureaucracy in public administration. this paper, we expand on concepts DEG its successor, Essentially Government (EDGE), introducing concept Algorithmic Bureaucracy, looks at impacts Artificial...

The Data Science for Local Government project was about understanding how the growth of 'data science' is changing way that local government works in UK. We define data science as a dual shift which involves both bringing new decision making and analytical techniques to work (e.g. machine learning predictive analytics, artificial intelligence A/B testing) also expanding types makes use (for example, by repurposing administrative data, harvesting social media or working with mobile phone...

The term Human-Data Interaction (HDI) conceptualizes the growing importance of understanding how people need and desire to use interact with data. Previous HDI cases have mainly focused on interface between personal health data healthcare sector. This paper argues that it is relevant consider at an organisational level examines can look in such a context, where maintenance are core assets activities. We report initial findings study knowledge-broker organisation, we follow produced, shared,...

As more and governments adopt algorithms to support bureaucratic decision-making processes, it becomes urgent address issues of responsible use accountability. We examine a contested public service algorithm used in Danish job placement for assessing an individual's risk long-term unemployment. The study takes inspiration from cooperative audits was carried out dialogue with the unemployment services agency. Our audit investigated practical implementation algorithms. find (1) divergence...

Data science provides powerful tools and methods. CSCW researchers have contributed insightfulstudies of conventional work-practices in data - particularly machine learning. However,recent research has shown that human skills collaborative decision-making, play important rolesin defining data, acquiring curating designing creating data. This workshopgathers practitioners together to take a collective critical look at sciencework-practices, how those make crucial often invisible impacts on...

The question of how to develop and maintain appropriate, socially informed sophisticated infrastructural systems is an ongoing concern for CSCW. Information infrastructure development efforts are usually large endeavors that involve many stakeholders, including several organizations need interoperate with legacy systems. Projects typically take years develop. duration, variety, sites engagement in the information infrastructures can be challenging approach typical CSCW approaches. In this...

In recent years, local government has been undergoing changes which are strongly influenced by the growing digitization of governmental operations. this paper, we expand on concepts Digital Era Governance and its successor, Essentially Government, introducing concept Algorithmic Bureaucracy, looks at impacts artificial intelligence socio-technical nature public administration. We report a mixed-method study, focused how growth data science is changing ways that works in United Kingdom. Under...

Today, organizations have to deal with multiple heterogeneous data sources from different systems and platforms maintain develop their services. Therefore, there is a need for tools support determine what can advance innovate This paper reports on how we addressed this by designing implementing two design – the Data Sphere Experiment Template domain experts' exploration which they selected themselves. We find that (1) of make cross-organizational dependency work visible; (2) value co-design...

Data has become a core asset for organizations. However, the data infrastructures, which makes accessible often require IT expertise, consequently places high demands on organiza-tions' computational knowledge and skills. This paper reports preliminary results of an action research intervention that questions how can enabler service innovation in small medium-sized organiza-tions (SMEs). On this basis, I highlight three in-frastructuring challenges infrastructures are relevant from...

This workshop is concerned with the potentials and barriers of data in facilitating bottom-up innovation. We focus on two specific communities that could benefit from utilizing data, but may struggle currently. Firstly, civil society participating grassroots actions, who use public for innovation to strengthen their advocacy. Secondly, organisations - especially SME's want make large complex sets, design data-driven services.

Organisations are looking for new ways to develop their services through innovative use of data. However, current tools and techniques data-based service innovation often demand that people have highly-specialised skills, which allow them design with This creates a barrier many SMEs engage explore the potential (Big) In this paper, I describe how my doctoral study aims tackle challenge. My work create methods can enable support non-IT experts interact data when developing offers. paper...