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Phd in Sovereign Norm-compliant Cloud Services for
3 maanden geleden
Faculteit/Dienst:
Faculteit der Natuurw
, Wiskunde & Informatica
Opleidingsniveau:
Master
Functie type:
Promotieplaats
Sluitingsdatum:31 juli 2024
Vacaturenummer:13110-
What are you going to do?
Background and Motivation
- For the growing need of enabling remote access to public services, as well as for the need of settingup effective and costefficient collaborations, governments are increasingly levering cloud computing technologies. In principle, cloud computing technologies have a great potential for governments, as they offer many advantages, particularly with respect to scalability and continuity of public services. However, the adoption of cloud services by governments also poses significant challenges related to data privacy, purposeful processing, and other legal demands, as well as requirements concerning security and sovereignty. Additionally, the lack of accountability in cloud service provisioning and management forms a potential political risk for shared service centres responsible for organizing the deployment of cloud services.
Therefore, there is a need to investigate how cloud services for the digital government can be leveraged to enable digital sovereignty, legal compliance, data safety and security, and how shared service centres should hold the partner organisations providing cloud service technologies accountable, particularly for delivering the required cloud services to their clients (both governmental agencies as well as citizens).Previous research conducted at the University of Amsterdam (see Koning, R "Automating network security", and Makkes, M.X "Virtual internets") has shown the power of software defined infrastructures, using software scripts that control the entire lifecycle.
This approach has great potential as it allows for safe and secure (governmental) infrastructures that, in combination with certified service-components, can result in infrastructures with controllable characteristics for which their deployers can take (legal) responsibility.
Recent developments in AI are promissing.Particularly state-of-the-art- The expected outcome of the research is to determine the potential of Generative AI and Large Language Models as a means for government officials to specify the tasks of the services in the cloud.
The research will also provide a demonstrator and recommendations on the legal and ethical use of Generative AI and Large Language Models in the context of digital government initiatives, particularly governmental shared services.
The research outcomes will be of interest to policymakers, government officials, cloud service providers, and researchers in the field of digital government and artificial intelligence.
Research Objectives:
The primary objective of this research is to explore the generation of digital sovereign and norm-compliant cloud services that enable accountability in the context of a digital government, both from a technical and from a socio-technical perspectives.
The specific objectives are to:
- investigate the concept of digital sovereignty in the context of a digital government and to identify the factors that enable or hinder the achievement of digital sovereignty. This includes design enabling the exploitation and adaptation of such digital infrastructures;
- by means of experiments, explore the potential of generative AI in generating digital infrastructure that is normatively compliant, scalable, and cost-effective;
- identify the technical and organizational factors that contribute to accountability in cloud service provisioning and management;
- develop a computational framework for ensuring accountability in the context of a digital government
Research Methodology:
The research will involve a literature review of relevant literature on cloud services, digital sovereignty, generative AI and infrastructure generation, normative compliance, and accountability in the context of digital government.
The literature review will provide the basis for identifying a ground conceptual framework for the research.Basaed on this conceptual framework, the student will prototype and perform experiments with computational solutions meant to improve the design/maintenance cycle of cloud-based solutions for public services.
The literature research, the analysis of relevant case studies, and the experimental analysis will involve qualitative and quantitative research methods.
What do you have to offer?
Your experience and profile:
- a master degree in Informatics with a strong affinity with Artificial Intelligence and Social Sciences (Sociology, Economics, Political Science, or related fields)
- strong engineering and empirical research skills;
- familiarity with quantitative and qualitative research methods,
- good knowledge of current developments in information technology including generative AI;
- academic excellence,
