Cryptocurrencies and beyond: using design science research to demonstrate diverse applications of blockchains

This thesis investigates blockchain technology and whether its mutually cooperative topology and commons-based peer production practices have implications for society because, instead of the traditional top-down, centralised model of governance, blockchains represent an alternative way of collaborating. Much of the literature anticipates the vast potential of the permanent and publicly auditable nature of the propagated values of blockchains. Indeed, writers have supposed that the smart contract capabilities of the technology may prove revolutionary for areas beyond that of the economic domain targeted by the cryptocurrency Bitcoin, which is the first successful use-case of a blockchain. However, few advanced use cases beyond that economic realm have materialised; this research demonstrates such usecases. This thesis asks four research questions. The first asks whether blockchains can help reduce energy consumption. The second asks whether blockchains can help digitise the informal sector. The third asks whether blockchains can help counter fake news. The final question asks whether blockchains can help address criticisms of humanitarian aid. Those topics are four amongst many urgent problems currently facing humankind, and therefore, the overarching research question of this thesis becomes whether blockchains can help humanity. This work advances the supposed potential of blockchains proposed by current literature by using design science research to create software artefacts that propose solutions for incentivising energy efficiency, fighting financial fraud, providing digital provenance and adding trust to humanitarian aid reporting. By demonstrating blockchain-based software solutions in those four topic areas, this thesis concludes that blockchains can help humanity. However, if they are to help society address some of its problems, blockchains have significant technological and organisational barriers to overcome. Furthermore, the idea that blockchains can help humanity is a form of techno-determinism and this research concludes that it is impossible to solve every issue by diversifying technical operations; humankind must also change political, economic, and cultural goals, too. Nevertheless, this thesis has implications for regulators, despite the barriers and false solutionism offered by technology because, rather than the trusted lawmakers and experts that nations used to look up to as oracles of truth, now it may be possible to look to blockchains, instead

Blockchains, Orphan Works, and the Public Domain

This Article outlines a blockchain based system to solve the orphan works problem. Orphan works are works still ostensibly protected by copyright for which an author cannot be found. Orphan works represent a significant problem for the efficient dissemination of knowledge, since users cannot license the works, and as a result may choose not to use them. Our proposal uses a blockchain to register attempts to find the authors of orphan works, and otherwise to facilitate use of those works. There are three elements to our proposal. First, we propose a number of mechanisms, included automated systems, to perform a diligent search for a rights holder. Second, we propose a blockchain register where every search for a work’s owner can be recorded. Third, we propose a legal mechanism that delivers works into orphanhood, and affords a right to use those works after a search for a rights holder is deemed diligent. These changes would provide any user of an orphan work with an assurance that they were acting legally as long as they had consulted the register and/or performed a diligent search for the work’s owner. The Article demonstrates a range of complementary legal and technological architectures that, in various formations, can be deployed to address the orphan works problem. We show that these technological systems are useful for enhancement of the public domain more generally, through the existence of a growing registry of gray status works and clarified conditions for their use. The selection and design of any particular implementation is a choice for policy makers and technologists. Rather than specify how that choice should look, the goal here is to demonstrate the utility of the technology and to clarify and promote its role in reforming this vexed area of law

Blockchains, Orphan Works, and the Public Domain

This Article outlines a blockchain based system to solve the orphan works problem. Orphan works are works still ostensibly protected by copyright for which an author cannot be found. Orphan works represent a significant problem for the efficient dissemination of knowledge, since users cannot license the works, and as a result may choose not to use them. Our proposal uses a blockchain to register attempts to find the authors of orphan works, and otherwise to facilitate use of those works. There are three elements to our proposal. First, we propose a number of mechanisms, included automated systems, to perform a diligent search for a rights holder. Second, we propose a blockchain register where every search for a work’s owner can be recorded. Third, we propose a legal mechanism that delivers works into orphanhood, and affords a right to use those works after a search for a rights holder is deemed diligent. These changes would provide any user of an orphan work with an assurance that they were acting legally as long as they had consulted the register and/or performed a diligent search for the work’s owner. The Article demonstrates a range of complementary legal and technological architectures that, in various formations, can be deployed to address the orphan works problem. We show that these technological systems are useful for enhancement of the public domain more generally, through the existence of a growing registry of gray status works and clarified conditions for their use. The selection and design of any particular implementation is a choice for policy makers and technologists. Rather than specify how that choice should look, the goal here is to demonstrate the utility of the technology and to clarify and promote its role in reforming this vexed area of law

Smart and Secure Augmented Reality for Assisted Living

Augmented reality (AR) is one of the biggest technology trends which enables people to see the real-life surrounding environment with a layer of virtual information overlaid on it. Assistive devices use this match of information to help people better understand the environment and consequently be more efficient. Specially, AR has been extremely useful in the area of Ambient Assisted Living (AAL). AR-based AAL solutions are designed to support people in maintaining their autonomy and compensate for slight physical and mental restrictions by instructing them on everyday tasks. The discovery of visual attention for assistive aims is a big challenge since in dynamic cluttered environments objects are constantly overlapped and partial object occlusion is also frequent. Current solutions use egocentric object recognition techniques. However, the lack of accuracy affects the system's ability to predict users’ needs and consequently provide them with the proper support. Another issue is the manner that sensitive data is treated. This highly private information is crucial for improving the quality of healthcare services. However, current blockchain approaches are used only as a permission management system, while the data is still stored locally. As a result, there is a potential risk of security breaches. Privacy risk in the blockchain domain is also a concern. As major investigation tackles privacy issues based on off-chain approaches, there is a lack of effective solutions for providing on-chain data privacy. Finally, the Blockchain size has been shown to be a limiting factor even for chains that store simple transactional data, much less the massive blocks that would be required for storing medical imaging studies. To tackle the aforementioned major issues, this research proposes a framework to provide a smarter and more secure AR-based solution for AAL. Firstly, a combination of head-worn eye-trackers cameras with egocentric video is designed to improve the accuracy of visual attention object recognition in free-living settings. A heuristic function is designed to generate a probability estimation of visual attention over objects within an egocentric video. Secondly, a novel methodology for the storage of large sensitive AR-based AAL data is introduced in a decentralized fashion. By leveraging the power of the IPFS (InterPlanetary File System) protocol to tackle the lack of storage issue in the Blockchain. Meanwhile, a blockchain solution on the Secret Network blockchain is developed to tackle the existent lack of privacy on smart contracts, which provides data privacy at both transactional and computational levels. In addition, is included a new off-chain solution encapsulates a governing body for permission management purposes to solve the problem of the lost or eventual theft of private keys. Based on the research findings, that visual attention-object detection approach is applicable to cluttered environments which presents a transcend performance compared to the current methods. This study also produced an egocentric indoor dataset annotated with human fixation during natural exploration in a cluttered environment. Comparing to previous works, this dataset is more realistic because it was recorded in real settings with variations in terms of objects overlapping regions and object sizes. With respect to the novel decentralized storage methodology, results indicate that sensitive data can be stored and queried efficiently using the Secret Network blockchain. The proposed approach achieves both computational and transactional privacy with significantly less cost. Additionally, this approach mitigates the risk of permanent loss of access to the patient on-chain data records. The proposed framework can be applied as an assistive technology in a wide range of sectors that requires AR-based solution with high-precision visual-attention object detection, efficient data access, high-integrity data storage and full data privacy and security

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic

Improving Access and Mental Health for Youth Through Virtual Models of Care

The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14–25 years, with symptoms of anxiety/depression. This project includes 115 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using eHealth technology to enhance care. The technology uses mobile questionnaires to help promote self-assessment and track changes to support the plan of care. The technology also allows secure virtual treatment visits that youth can participate in through mobile devices. This longitudinal study uses participatory action research with mixed methods. The majority of participants identified themselves as Caucasian (66.9%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (71.9% and 67.5% respectively). Findings from the qualitative summary established that both staff and youth found the software and platform beneficial

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic