Reconciling the conflict between the ‘immutability’ of public and permissionless blockchain technology and the right to erasure under Article 17 of the General Data Protection Regulation

This thesis focuses on the issues between a blockchain technology and the new European Union General Data Protection Regulation (GDPR). The Blockchain technology is a rather new technology which potential has been recognised only in the recent years. Essentially, a blockchain is a distributed database in which data is stored in blocks, which form a chronological chain of blocks. Blockchains have many types and possible use cases, but this research focuses on public and permissionless blockchains, which primary objective is to enable individuals to transact with each other without centralised intermediaries. The GDPR entered into force on 25 May 2018. The GDPR was not drafted taking account of distributed ledger technologies, such as the blockchain technology, which has raised several points of tension between the regulation and the technology. The primary focus of this thesis is on the conflict between the ‘immutability’ of blockchain technology and the right to erasure under Article 17 of the GDPR. One of the main features of blockchains is the immutability, that is to say, data on old blocks is extremely difficult to modify or delete. This feature seems prima facie to conflict with Article 17 of the GDPR that provides data subjects with the right to request erasure of their personal data under certain conditions. Firstly, this thesis analyses the current state of the conflict. Before analysing the conflict, the research addresses two essential preliminary questions: the question about anonymisation and personal data and the question about allocation of responsibilities on blockchains. After that, different solutions proposed to reconcile the conflict are analysed to understand the current situation. While public and permissionless blockchains currently may infringe Article 17 of the GDPR, there are potential solutions for the conflict in the future. The second purpose of this thesis is to identify relevant legal problems and propose how to address the problems in the future. Blockchain developers should consider data protection obligations already in the design phase. From the legal side, this research has provided flexible interpretations for the legal problems that could help to comply with the right to erasure. There is a need for a flexible approach to the problems between the regulation and the technology

Landscape review of interdisciplinary research in the UK

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Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany

The effective reproductive number R$_t$ has taken a central role in the scientific, political, and public discussion during the COVID-19 pandemic, with numerous real-time estimates of this quantity routinely published. Disagreement between estimates can be substantial and may lead to confusion among decision-makers and the general public. In this work, we compare different estimates of the national-level effective reproductive number of COVID-19 in Germany in 2020 and 2021. We consider the agreement between estimates from the same method but published at different time points (within-method agreement) as well as retrospective agreement across eight different approaches (between-method agreement). Concerning the former, estimates from some methods are very stable over time and hardly subject to revisions, while others display considerable fluctuations. To evaluate between-method agreement, we reproduce the estimates generated by different groups using a variety of statistical approaches, standardizing analytical choices to assess how they contribute to the observed disagreement. These analytical choices include the data source, data pre-processing, assumed generation time distribution, statistical tuning parameters, and various delay distributions. We find that in practice, these auxiliary choices in the estimation of R$_t$ may affect results at least as strongly as the selection of the statistical approach. They should thus be communicated transparently along with the estimates

Diagnostic Doubt and Artificial Intelligence: An Inductive Field Study of Radiology Work

Technological developments in emerging AI technologies are assumed to further routinize and improve the efficiency of decision making tasks, even in professional contexts such as medical diagnosis, human resource management, and criminal justice. We have little research on how AI technologies are actually used and adopted in practice. Prior research on technology in organizations documents a gap between the expectations for new technology and its actual use in practice. We conducted a comparative field study of three sections in a Department of Radiology in a major US hospital, whereby new and existing AI tools were being used and experimented with. In contrast to expectations about AI tools, our study reveals how such tools can lead routine professional decision making tasks to become nonroutine, as they increased ambiguity and decision makers had to work to reduce it. This is particularly challenging since the costs of dealing with ambiguity – increased time to diagnose – were often weighed against the benefits of such ambiguity (potentially more accurate diagnoses). This study contributes to literatures related to technology, work, and organizations, as well as the role of ambiguity in professionals’ knowledge work

What do experts and stakeholders think about chemical risks and uncertainties? – An Internet survey

This report presents results from a web-based explorative survey on integrated risk assessment. The survey was conducted in the EU-funded project NoMiracle (Novel Methods for Risk Assessment of Cumulative Stressors in Europe) which develops methods for assessing cumulative risks from combined exposures to multiple stressors. The objectives of the survey were to give a general picture of perceptions and views among experts and stakeholders concerning risks, risk assessment and risk management. The survey focused on chemicals with an emphasis on information related to complex risks and uncertainties in a management context. The methodology of the survey combined traditional multiple choice questions and a novel approach that charted the importance of different types of information in two-dimensional graphs describing simultaneously use in regulatory procedures and public discussion. Another part was linked to new methods of presenting risks and explored the ranking of separate and cumulative risks in map grids. The survey was e-mailed to 952 recipients representing researchers, national and EU level administrators, enterprises, NGOs and international organizations, and most EU member states and some other countries. The response rate (26 %) can be considered acceptable but limits the possibilities to make quantitative claims concerning the views held by different groups although it gives an overview of the types of views one encounter among experts. A key finding was the pronounced variability of concepts and views regarding risks and uncertainties, and regarding information and knowledge about these. Opinions on risks and risk assessment, particularly on integrated risk assessment, on related principles, and on the role of experts are genuinely variable. They cannot be reduced to any simple model, and cannot (and need not) be dispelled in a forced manner. The observations should be taken into account in the development and application of novel methods for risk assessment by ensuring the transparency of the methods and by communication between actors

Open Standards and Government Policy: Results of a Delphi Survey

In an increasing number of countries governments consider to stimulate the role of open standards in public Information and Communication Technology (ICT) infrastructure development. The aim of this work is to identify important issues related to government policy with regard to open standards and the development of public ICT infrastructure. This multi-method research presents results from an exploratory literature review and multi-round Delphi survey of key experts in the field of standardization

Behind the last line of defense: Surviving SoC faults and intrusions

Today, leveraging the enormous modular power, diversity and flexibility of manycore systems-on-a-chip (SoCs) requires careful orchestration of complex and heterogeneous resources, a task left to low-level software, e.g., hypervisors. In current architectures, this software forms a single point of failure and worthwhile target for attacks: once compromised, adversaries can gain access to all information and full control over the platform and the environment it controls. This article proposes Midir, an enhanced manycore architecture, effecting a paradigm shift from SoCs to distributed SoCs. Midir changes the way platform resources are controlled, by retrofitting tile-based fault containment through well known mechanisms, while securing low-overhead quorum-based consensus on all critical operations, in particular privilege management and, thus, management of containment domains. Allowing versatile redundancy management, Midir promotes resilience for all software levels, including at low level. We explain this architecture, its associated algorithms and hardware mechanisms and show, for the example of a Byzantine fault tolerant microhypervisor, that it outperforms the highly efficient MinBFT by one order of magnitude

Reconciling views of project success : a multiple stakeholder model

This paper presents a new model encompassing all the important critical attributes to measure project success across different stakeholder groups. The study investigates the possibility that project failure is a result of the interpretations of the criteria and factors used for success by multiple stakeholder groups. Unique projects must have their outcome parameters monitored and controlled to minimize the chances of failure and the likely major financial and managerial ramifications for the organization. Early testing of the model supports its use to increase the shared, multiple stakeholder perception of project success leading to more informed decision making and motivation of employees