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PhD Position in Digital Sovereignty, AI, and Media Innovation

University of Bergen Department of Information Science and Media Studies
✓ Fully Funded ⏰ Closing Soon 🎓 Artificial Intelligence 🎓 Social Sciences artificial intelligence digital sovereignty media innovation media production media institutions media technology political economy democracy

Explore how AI transforms media institutions and professions amid technological disruptions. Investigate digital sovereignty challenges and innovate within media production using qualitative approaches in Norway’s Media City Bergen cluster.

AI-generated overview

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Why This Research Matters

This research addresses critical societal challenges posed by AI and digital globalization in the media sector, including digital dependency and the sustainability of local media. It informs policy and industry strategies to maintain media sovereignty and democratic values in an evolving technological landscape.

information systems artificial intelligence

Project Description

Project Overview

This PhD project explores the intersection of digital sovereignty, artificial intelligence, and media innovation. It aims to understand how AI technologies reshape media professions, production methods, and institutional strategies within the media industry, especially in the Norwegian context.

What You Will Do

The candidate will develop an independent research project, using qualitative methodologies such as case studies, interviews, observation, fieldwork, and document analysis. The focus could include media technology or production or broader institutional strategies. The PhD student will be embedded in the department's media studies environment and the Media City Bergen cluster.

Expected Outcomes

This research will provide insights into how media actors can navigate technological disruptions, digital dependency, and societal challenges related to AI's role in democracy, sustainability, and media sovereignty. The findings will contribute to theoretical and strategic understanding in political economy, democracy, and media innovation.

Why This Matters

The media sector faces rapid digitalization and globalization pressures, affecting democracy and societal development. This project addresses these challenges by investigating AI’s potential for disrupting traditional media roles and supporting innovative responses. It offers important perspectives for media companies, policy makers, and society at large, ensuring resilience and sustainability of local and national media landscapes.

Entry Requirements

Master's degree in Media Studies or equivalent. Minimum grade B or better on both Master's thesis and overall Master's degree. Proficiency in English (written and oral) and proficiency in Norwegian or another Scandinavian language required. Ability to work independently and collaboratively.

Eligibility

UK/Home
EU
International

Supervisor Profile

PB
Professor Bjørnar Tessem
University of Bergen, Department of Information Science and Media Studies

Professor Bjørnar Tessem is a leading figure in media and communication studies with a focus on digital transformation and media industry innovation. His research encompasses the societal impacts of technology on media structures, democratic processes, and institutional change. He is actively involved in interdisciplinary projects linking AI with media and technology sectors, particularly in Norway.

Key Publications

1993 345 citations
Approximations for efficient computation in the theory of evidence
2023 183 citations
Trustworthy journalism through AI
2014 178 citations
Individual empowerment of agile and non-agile software developers in small teams
2022 176 citations
Responsible media technology and AI: challenges and research directions
1992 153 citations
Interval probability propagation

Research Contributions

Developed approximations for efficient computation in the theory of evidence and interval probability propagation.
Enabled improved reasoning under uncertainty in AI and information systems research.
Explored the empowerment of agile and non-agile software developers in small teams.
Contributed to improving team dynamics and productivity in software development.
Investigated trustworthy journalism enabled through AI and responsible media technology challenges.
Advanced understanding of ethical AI applications in media and journalism.

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