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Cover of McMeel on the Construction of Contracts: Interpretation, Implication and Rectification

McMeel on the Construction of Contracts: Interpretation, Implication and Rectification

Price: £225.00

Land Registration Manual
4th ed




 Ash Jones


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Judicial Cooperation in Commercial Litigation 3rd ed (The British Cross-Border Financial Centre World)



 Ian Kawaley, David Doyle, Shade Subair Williams


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Governing Virtual Wonderland: Power, Rules, and Rebellion in the Metaverse

Edited by: Mark Findlay, Noha Lea Halim, Sofie Schönborn

ISBN13: 9781035362073
To be Published: May 2026
Publisher: Edward Elgar Publishing Limited
Country of Publication: UK
Format: Hardback
Price: £115.00





In this volume, young voices craft a fresh exploration of living and working in virtual worlds. Using Alice in Wonderland as a guiding metaphor, contributors address profound and urgent questions: Who am I online? Who decides what is possible in virtual worlds? How can these spaces be made safe, fair, and empowering?

Through specially commissioned short essays and reflections, emerging voices with extensive experience of digital environments evaluate key challenges of governance and personhood within the metaverse. Drawing on diverse disciplinary insights, chapters investigate how design choices subtly function as constraints and possibilities, how identities transform across platforms and how communities build their own norms. Ultimately, the book emphasises the importance of treating the metaverse as a lived social space and prioritising the voices of its first-hand navigators. It outlines strategies for designing policies that protect individuals while simultaneously promoting agency, imagination and inclusion within virtual worlds like the metaverse, both now and in the future.

Governing Virtual Wonderland is an essential read for scholars, students, and those interested in regulation and governance in the new digital age. It is also useful for those across the disciplines of technology and AI, law, political science, philosophy of data science and computer science.