The term "collaborative edge computing" is new. Edge computing is a crucial technology for the deployment of smart villages. Due to edge devices' resource constraint features, collaborative computing is a key challenge to borrow computational resources to meet demands of smart villages. This article gives first-hand experiences on collaborative edge computing and its use for smart villages.

The growing complexity of construction supply chains and the significant impact of the construction industry on the environment demand an understanding of how to reuse and repurpose materials. In response to this critical challenge, research gaps that are significant in promoting material circularity are described. Despite its potential, the use of blockchain technology in construction faces challenges in verifiability, scalability, privacy, and interoperability. We propose a novel multilayer blockchain framework to enhance provenance tracking and data retrieval to enable a reliable audit trail. The framework utilises a privacy-centric solution that combines decentralised and centralised storage, security, and privacy. Furthermore, the framework implements access control to strengthen security and privacy, fostering transparency and information sharing among the stakeholders. These contributions collectively lead to trusted material circularity in a built environment. The implementation framework aims to create a prototype for blockchain applications in construction supply chains.

Material reuse and recycling plays a key role in reducing carbon emissions in the architecture and construction sector. A “Material Passport” (MP) is a record describing how a material is used throughout its lifetime, from genesis to termination, recording operations carried out on the material. The granularity of information recorded in a MP can vary, however ensuring that this provenance trail remains immutable is a key requirement. The benefits of using a MP, operations carried out on a MP, and recording of transactions within a distributed Blockchain (parachain) is described. A scenario is used to illustrate how the proposed approach can be used in practice.

Effective data management is crucial to ensure the security, integrity, and efficiency of blockchain systems. This study proposes a detailed data management taxonomy specifically designed for blockchain technology. The taxonomy provides a structured framework to categorize and address various aspects of data management in blockchain networks. It covers essential aspects, such as data flow, data storage, access control, and querying. It provides a systematic approach to understanding and addressing the unique challenges associated with managing data in blockchain systems. The framework enables informed decision making, promotes effective strategies, and helps to leverage the full potential of blockchain technology.