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An examination of the work of Shakespeare Schools Foundation (SSF): a UK-based cultural and education charity that introduces the work of Shakespeare to primary- and secondary-aged pupils in a ‘real-world’ active context.
The chapter looks at how SSF encourages engagement with Shakespeare’s text in collaborative teacher/practitioner/pupil partnerships, with a focus on inclusivity and rehearsal room techniques. The focus is on SSF’s flagship programme, the Shakespeare Schools Festival, which engages primary, secondary and SEN schools, and also on other residential partnerships with SEN settings.
Case studies explore how participants’ collaborative abilities and confidence increase, and highlight participation among pupils from diverse settings and disadvantaged backgrounds.
The chapter will consider how SSF’s active approach to Shakespeare contrasts with traditional instruction in the English classroom, and include the challenges faced by SSF in providing its programmes in the current UK education climate.
Shakespeare education is being reimagined around the world. This book delves into the important role of collaborative projects in this extraordinary transformation. Over twenty innovative Shakespeare partnerships from the United Kingdom, the United States, Australia, New Zealand, the Middle East, Europe and South America are critically explored by their leaders and participants. Structured into thematic sections covering engagement with schools, universities, the public, the digital and performance, this book offers vivid insights into what it means to teach, learn and experience Shakespeare in collaboration with others. Diversity, equality, identity, incarceration, disability, community and culture are key factors in these initiatives, which together reveal how complex and humane Shakespeare education can be. Whether you are interested in practice or theory, this collection showcases an abundance of rich, inspiring and informative perspectives on Shakespeare education in our contemporary world.
Shakespeare education is being reimagined around the world. This book delves into the important role of collaborative projects in this extraordinary transformation. Over twenty innovative Shakespeare partnerships from the United Kingdom, the United States, Australia, New Zealand, the Middle East, Europe and South America are critically explored by their leaders and participants. Structured into thematic sections covering engagement with schools, universities, the public, the digital and performance, this book offers vivid insights into what it means to teach, learn and experience Shakespeare in collaboration with others. Diversity, equality, identity, incarceration, disability, community and culture are key factors in these initiatives, which together reveal how complex and humane Shakespeare education can be. Whether you are interested in practice or theory, this collection showcases an abundance of rich, inspiring and informative perspectives on Shakespeare education in our contemporary world.
The rise of 'smart' – or technologically advanced – cities has been well documented, while governance of such technology has remained unresolved. Integrating surveillance, AI, automation, and smart tech within basic infrastructure as well as public and private services and spaces raises a complex set of ethical, economic, political, social, and technological questions. The Governing Knowledge Commons (GKC) framework provides a descriptive lens through which to structure case studies examining smart tech deployment and commons governance in different cities. This volume deepens our understanding of community governance institutions, the social dilemmas communities face, and the dynamic relationships between data, technology, and human lives. For students, professors, and practitioners of law and policy dealing with a wide variety of planning, design, and regulatory issues relating to cities, these case studies illustrate options to develop best practice. Available through Open Access, the volume provides detailed guidance for communities deploying smart tech.
This chapter explores the potential for gamesmanship in technology-assisted discovery.1 Attorneys have long embraced gamesmanship strategies in analog discovery, producing reams of irrelevant documents, delaying depositions, or interpreting requests in a hyper-technical manner.2 The new question, however, is whether machine learning technologies can transform gaming strategies. By now it is well known that technologies have reinvented the practice of civil litigation and, specifically, the extensive search for relevant documents in complex cases. Many sophisticated litigants use machine learning algorithms – under the umbrella of “Technology Assisted Review” (TAR) – to simplify the identification and production of relevant documents in discovery.3 Litigants employ TAR in cases ranging from antitrust to environmental law, civil rights, and employment disputes. But as the field becomes increasingly influenced by engineers and technologists, a string of commentators has raised questions about TAR, including lawyers’ professional role, underlying incentive structures, and the dangers of new forms of gamesmanship and abuse.4
Every day, courts across the country deliver rulings in civil legal disputes that, while perhaps unremarkable to many observers, have profound importance for the litigants themselves: custody disputes, debt collection, and wage garnishment, evictions, and protection orders for victims of domestic violence, to name but a few. Advocates for civil justice reform have long identified the growing number of self-represented litigants in these proceeding as a cause for concern, highlighting the need for broad reform. The number of self-represented litigants hasn’t decreased, but reform has been slow to come. The COVID-19 pandemic has offered a chance to change that. This chapter reviews civil access-to-justice efforts both before, during, and hopefully after the pandemic. Using as raw material a unique survey of state chief justices and also Michigan’s experience both before and during the pandemic to make justice more accessible, this chapter examines barriers to widespread reform in state courts, including the challenge of local political and fiscal control in states with non-unified court systems as well as the broader challenge of promoting change in a profession that is notoriously slow to embrace it. In small ways and large, the pandemic will continue to drive important change in how courts deliver justice.
This chapter presents a short thought piece that frames several of the key governance challenges that cities face when approaching the Internet of Things (IoT) and other “smart” technologies. Those challenges in particular fall within two buckets: human governance, and technical interfaces. First, the chapter looks briefly at two planned cities – the ancient Greek city of Thurii, and the modern cityscape of Quayside in Toronto, Canada – as exemplifying the different layers of inclusivity that can and should work well together in communities of trust. One proposed takeaway then raised is the desirability of planning digital communities that invite active human participation in the blended spaces between the self and the world, the private and public, and the physical and virtual. As it turns out, this takeaway is entirely consistent with the notions of participatory community governance at the heart of the Governing Knowledge Commons (GKC) framework.
This chapter frames Disney as a lab for public technology applications and uses it to explore information governance challenges associated with pervasive location monitoring, facial recognition, data integration across contexts, and the seamlessness of smart experiences and interactions, facilitated by MagicBands. It employs Disney as an analytical model for potential challenges and governance strategies in other public applications alongside a number of privacy challenges.
The United States has a serious and persistent civil justice gap. Computationally driven litigation outcome prediction tools might offer a solution by reducing uncertainty and lowering the cost of legal services. Yet the field remains in its infancy: this chapter identifies the data, methodological, and financial limits that have impeded development in general and the potential to expand access to justice in particular. The chapter also raises a note of caution about unintended consequences. As outcome prediction reaches maturity, such tools might reify existing case outcome patterns and lock out litigants whose claims are novel or boundary-pushing. This legal endogeneity may reduce access to justice for some categories of would-be litigants and diminish the flexibility and adaptability that characterize common law reasoning. Empirical questions remain about the way(s) that outcome prediction might affect access to justice. Yet if developments continue, policymakers and practitioners should be ready to exploit the tools’ substantial potential to fill the civil justice gap while also guarding against the harms they might cause.
How can improving the collection, sharing, and analysis of data make the civil justice system more accountable to other government institutions, participants in the justice system, and the public at large? We tackle this question from three angles. First we show how accountability can create opportunities for civil justice reform. Drawing on work in other social spheres on large datasets, we identify three lines of research that court data could inform: the extent that structural racism and other biases shape processes and outcomes; the impact of lack of representation on litigants’ experiences and outcomes; and the antecedents and consequences of court involvement for poor people. A second focus is the obstacles that prevent us from increasing our store of knowledge about civil justice problems. These obstacles include: the lack of good data, legal barriers to obtaining data, and real and perceived institutional risks to sharing data. Finally, we report on our efforts to design and build a civil justice data commons (CJDC) addressing these barriers in order to provide fast and frictionless access for policy research as well as operational insights for courts and civil justice institutions to improve equity and service delivery.
In October 2017, Alphabet and the Government of Canada announced a joint effort: the first smart city powered by Alphabet’s technology. The smart city was proposed to be built in Toronto, Canada, where Alphabet’s subsidiary Sidewalk Labs had partnered with public corporation Waterfront Toronto. Balancing public, private, and collective interests in smart cities is a challenging task, that is why Sidewalk Labs proposed some innovative instruments of governance and management in their city infrastructure. This chapter draws on the GKC framework to examine the company’s proposal for the governance of smart infrastructure. The analysis focuses on two action arenas: data-driven planning and the trusts.