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What counts is what works - but how can we actually tell what works? And what can we do with such knowledge to influence policy and practice? As all parts of the public sector embrace 'evidence' as a means of providing more effective and efficient public services, this book provides a timely and novel contribution to such debates. The authors consider the role of evidence in specific public policy areas (healthcare, education, criminal justice, social care, welfare, housing, transport and urban renewal), using experts in each field to explore the creation, dissemination and use of evidence within each. They consider in particular: How is research evidence of service effectiveness created? How does such evidence shape policy and influence service delivery? What efforts are being made to encourage greater utilisation of evidence in policy and practice? The rich cross-sectoral accounts of the many and diverse activities in each sector provide an insight into the ebb and flow of evidence as guidance to policy and practice. 'What works?' develops perceptive analyses of outstanding problems, and raises challenging agendas for service development and future research. The authors conclude with the all-important question of the implementation of evidence-based practice and lead the way to the reinvigoration of innovative thinking. With its relevance to both cutting-edge practice and research, this book is important reading for a wide range of managers and professionals in different sectors, as well as students and academics studying public policy, public administration, and social policy and management

ABSTRACTMany are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order to provide an effective mechanism of oversight for health‐related AI research.

Explores of social justice, citizenship, and community in the context of data-driven urbanismInvestigates critical issues of social justice, citizenship and community in the context of the powerful economic rationales of data-driven urban developmentMakes a theoretical contribution towards framing social justice from the perspective of the datafied cityDocuments new case studies and exposes new avenues for research across social justice, critical data studies, education and politicsData Justice and the Right to the City engages with theories of social justice and data-driven urbanism. It explores the intersecting concerns of data justice - both the harms and civic possibilities of the datafied society - and the right to the city - a call to redress the uneven distribution of resources and rights in urban contexts. These concerns are addressed through a variety of topics: digital social services, as cities use data and algorithms to administer to citizens; education, as data-driven practices transform learning and higher education; labour, as platforms create new precarities and risks for workers; and activists who seek to make creative and political interventions into these developments. This edited collection proposes frameworks for understanding the effects of data-driven technologies at the municipal scale and offers strategies for intervention by both scholars and citizens