Available thesis proposals:
- Development of Unified, Full-Lifecycle Governance Systems for Data and AI models: organizational issues
- Novel approaches for ICT services management and governance
- Sourcing of ICT systems and services
| Thesis proposals | Researchers | Research Group |
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Development of Unified, Full-Lifecycle Governance Systems for Data and AI models: organizational issues The primary goal of this thesis proposal is to analyze and optimize the organizational issues concerning the transition of organizations from disjointed compliance efforts (GDPR compliance handled separately from AI Act compliance) to a single, integrated strategy that ensures ethical and legal standards are met consistently from data collection to AI deployment and monitoring. Research topics include but are not limited to: Operationalizing Ethics and Organizational Structure, Organization and Information Systems Perspective and Impacts, Operationalizing Ethics and Organizational Structure, addressing questions such as: 1) What are the most effective organizational models for integrating accountability? This includes defining the roles, responsibilities, and reporting lines for merged functions, such as a Data & AI Governance Committee that includes technical, legal, and ethical expertise. 2) Developing metrics that can quantify the success of a unified governance program (e.g., how much does an increase in data quality investment reduce the incidence of fairness-related harm reports?). 3) How can training and incentive structures be designed to embed a culture where AI developers naturally consider data privacy and ethical principles at the earliest stages of the data collection pipeline, rather than treating compliance as a post-development checklist? Organization and Information Systems Perspective and Impacts, addressing questions such as: 1) Which are the minimal critical factors for AI Governance, Data Governance and a unified approach? 2) How organizations structure their resources, make decisions about AI and Data Governance investments, and align AI and Data Governance with overall business strategy? 3) Explore technology adoption and diffusion of Data and AI Governance. 4) How AI and Data Governance impact organizational structure, culture, job roles, communication, and overall performance. |
Mail: jcobarsi@uoc.edu |
ICSO |
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Sourcing of ICT systems and services We focus on the wider research area of the study of the processes involved in the full set of outsourcing and provisioning processes (analysis, selection, development, deployment, adoption and assessment) of ICT systems and services, by both private companies and public entities. Thus, our scope covers the initial procurement decisions (i.e. deciding strategies, selecting providers, choosing existing solutions, etc.) and the process of monitoring the deployment and operation of the ICT services (i.e. relationship with providers, controlling strategies, stakeholder roles, project management issues, etc.), among others. |
Mail: jmarco@uoc.edu |
ICSO |
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Novel approaches for ICT services management and governance Our interest focuses on the analysis and development of models and methods for managing ICT services, informed by the broad principles of IT governance in the domain of strategic management and planning. That also embraces the design and implementation of technological and organizational solutions from a strategic perspective, as well as the impact on these of data science and artificial intelligence. |
Mail: jmarco@uoc.edu |
ICSO |