Dwarna : a blockchain solution for dynamic consent in biobanking

Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within the context of biobanking, it gives individuals access to information and control to determine how and where their biospecimens and data should be used. We present Dwarna—a web portal for ‘dynamic consent’ that acts as a hub connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the general public. The portal stores research partners’ consent in a blockchain to create an immutable audit trail of research partners’ consent changes. Dwarna’s structure also presents a solution to the European Union’s General Data Protection Regulation’s right to erasure—a right that is seemingly incompatible with the blockchain model. Dwarna’s transparent structure increases trustworthiness in the biobanking process by giving research partners more control over which research studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen and associated data are destroyed.peer-reviewe

Doctor of Philosophy

dissertationWe propose a collective approach for harnessing the idle resources (cpu, storage, and bandwidth) of nodes (e.g., home desktops) distributed across the Internet. Instead of a purely peer-to-peer (P2P) approach, we organize participating nodes to act collectively using collective managers (CMs). Participating nodes provide idle resources to CMs, which unify these resources to run meaningful distributed services for external clients. We do not assume altruistic users or employ a barter-based incentive model; instead, participating nodes provide resources to CMs for long durations and are compensated in proportion to their contribution. In this dissertation we discuss the challenges faced by collective systems, present a design that addresses these challenges, and study the effect of selfish nodes. We believe that the collective service model is a useful alternative to the dominant pure P2P and centralized work queue models. It provides more effective utilization of idle resources, has a more meaningful economic model, and is better suited for building legal and commercial distributed services. We demonstrate the value of our work by building two distributed services using the collective approach. These services are a collective content distribution service and a collective data backup service

Transaction Streams: Definition and Implications for Trust in Internet-Based Electronic Commerce.

In this paper we analyze how transactions related to the exchange of goods and services are being performed on the Internet. The adoption of electronic markets in an industry has a disintermediation potential because it can create a direct link between the producer and the consumer (without the need for the intermediation role of distributors). Electronic markets lower the search cost, allowing customers to choose among more providers (which ultimately reduces both the costs for the customer and the profits for the producer). In this paper we contend that electronic markets on the Internet have the opposite effect, resulting in our increase in the number of intermediators. We introduce transaction streams, which model how transactions are being conducted and help explain the types of new intermediators that are appearing on the Internet. We also describe mechanisms by which companies are exploring ways of extending transaction streams. To illustrate the model and validate our findings, we analyze transaction streams in the insurance industry and review associated concepts such as trust and brands.transactions; electronic markets;

A theoretical and computational basis for CATNETS

The main content of this report is the identification and definition of market mechanisms for Application Layer Networks (ALNs). On basis of the structured Market Engineering process, the work comprises the identification of requirements which adequate market mechanisms for ALNs have to fulfill. Subsequently, two mechanisms for each, the centralized and the decentralized case are described in this document. These build the theoretical foundation for the work within the following two years of the CATNETS project. --Grid Computing

Towards a business model for cellular network and telecommunication operators: a theoretical framework

Cellular networks and telecommunications bring major change to the way businesses are conducted. Mobility has become one of the main priorities for users and this has impacted on cellular networks and telecommunication operators (CNTOs). However, entrants into the cellular industry have been confounded primarily by inexistent or weak Business Models (BMs). Designing a BM for a CNTO is complex and requires multiple actors to balance different and often conflicting design requirements. Nevertheless, most research about CNTOs has been technically oriented and has mainly addressed the technological and engineering issues related to their infrastructure. Less attention has been given to the business model of CNTOs. Hence, there is a need to enhance our ability to determine what constitutes the optimal and most viable business model to meet the various strategic objectives and goals for these CNTOs. In this paper an overview of research into the cellular business model and the main issues to be resolved is provided. In particular, the authors propose guidelines as a basis on which to develop a more comprehensive definition which may lead to a consensus. Moreover, a generic model (V4 Model) is proposed for the BM of these companies based on value proposition, value architecture, value network and value finance

Theoretical and Computational Basis for Economical Ressource Allocation in Application Layer Networks - Annual Report Year 1

This paper identifies and defines suitable market mechanisms for Application Layer Networks (ALNs). On basis of the structured Market Engineering process, the work comprises the identification of requirements which adequate market mechanisms for ALNs have to fulfill. Subsequently, two mechanisms for each, the centralized and the decentralized case are described in this document. --Grid Computing

Applications

Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel production and milling for quality control during manufacturing processes in traffic, logistics for smart cities and for mobile communications