Research translated into practice

Innovation & Impact

How long-term research leadership, responsible AI and partnerships with industry and public-service organisations become tools, field studies and organisational change.

Explore impact cases Research portfolio Publications
Leadership with clear attribution MediaFutures outputs are collective achievements created by researchers and partner organisations. My personal role is the conception, establishment and strategic leadership of the centre: shaping the agenda, assembling the consortium, securing funding and creating the conditions for research to move into practice.
Overview

Building environments where responsible AI can create value

My work focuses on turning responsible-AI research into technologies, evidence and organisational practices that can be evaluated in real settings. My distinctive contribution lies in building the research environments, teams and industry partnerships through which this translation becomes possible.

As founder and director of SFI MediaFutures, I initiated and lead a national research-based innovation ecosystem connecting the University of Bergen with leading Norwegian media organisations, technology companies and research institutions. The centre develops and evaluates responsible technologies for recommendation, journalism, fact-checking, media production, accessibility and democratic resilience.

The impact model

Research vision → interdisciplinary teams → long-term partnerships → prototypes and field studies → organisational learning and societal value.

~NOK 300m
MediaFutures funding and in-kind contributions
25+
public MediaFutures tools and demonstrations
150+
peer-reviewed publications
NOK 650m+
competitive funding secured or co-secured
Selected portfolio

Innovation and impact cases

Innovation ecosystem

SFI MediaFutures

MediaFutures is Norway’s first research centre dedicated to responsible media technology. It connects academic research with the operational needs of broadcasters, news organisations, fact-checkers and media-technology companies.

  • Long-term research-industry collaboration under the Research Council of Norway’s SFI scheme.
  • Research and innovation across personalisation, content production, language technology, media forensics and accessibility.
  • A growing portfolio of demonstrators, pilots, datasets, models and industry-oriented studies.
Official centre overview
Responsible recommendation

Personalisation with TV 2

MediaFutures researchers and TV 2 have evaluated recommendation approaches in industry-relevant and live environments, including calibrated popularity-bias mitigation and sequential recommendation.

  • Methods designed to improve exposure to less-popular catalogue content while preserving relevance.
  • Evaluation beyond offline accuracy, including clicks, consumption and real-user behaviour.
  • Editor-facing tools for discovering relevant and related content.
Explore the demonstrator portfolio
Verification

Fact-checking and media forensics

Work with Faktisk.no and other partners has produced tools and methods aimed at reducing the time and specialist knowledge needed to assess audiovisual material circulating online.

  • Tank Classifier: recognition of tanks and artillery vehicles in conflict imagery.
  • Language Checker: spoken-language identification, transcription, translation and context support.
  • Research resources for detecting and analysing synthetic or manipulated visual content.
See official descriptions and credits
Journalism & democracy

Context for live political debate

AIModerator demonstrates how a multimodal conversational agent can help audiences verify, compare and contextualise political claims while a live-streamed discussion is unfolding.

The case shows how responsible AI can be treated not only as a governance principle, but as a concrete design and evaluation problem in a democratic setting.

View the MediaFutures demo portfolio
Public services

Decision support in medical communication

Research through RE-AIMED has examined a prototype combining recommender functionality with structured documentation for calls to medical communication centres.

The work moves recommender-system research into a high-consequence public-service environment and evaluates operator performance, workflow integration and human control.

Read the feasibility study
Editorial technology

AI-supported news production

MediaFutures teams have developed tools for related-content discovery, event extraction, sports commentary, knowledge-supported journalism and accessible media experiences.

These projects are intended to augment professional judgement and improve workflows rather than replace journalists and editors.

Explore this research stream
Leadership contribution

My role in the innovation process

Vision and agenda

Frame ambitious programmes around responsible AI, user behaviour, trust, democracy and societal value.

Consortium building

Connect scientific disciplines, industrial partners, public-interest organisations and international expertise.

Funding and infrastructure

Secure long-term investment and establish durable organisational structures for interdisciplinary work.

Research translation

Enable movement from research question and publication to demonstrator, pilot, field study and organisational learning.

Talent development

Build and mentor teams of PhD candidates, postdoctoral researchers, assistants and industry-linked researchers.

Evidence

Public documentation and complete records

The cases above are supported by public centre documentation, demonstrator descriptions, research evaluations, grant records and peer-reviewed publications.

MediaFutures demos Complete grant record Complete publication record