Advance knowledge
Develop theories, methods and evidence on responsible AI, recommender systems and computational user behaviour.
Research translated into influence
Impact across research, institutions, people and practice
My impact is not defined by one centre. It combines influential research, the creation of durable research environments, responsible AI translated with partners, and the development of people who carry this work forward.
A broader view of impact
From ideas and evidence to organisations and societal value
My work connects four forms of impact: advancing knowledge about how AI shapes human behaviour; building research groups and programmes that outlast individual projects; translating research into tools, field studies, organisational learning and policy input; and mentoring researchers who bring this expertise into academia, industry and public service.
150+peer-reviewed publications
NOK 650m+funding secured or co-secured
20+ yearsacross research and applied innovation
Media · Health · Foodhigh-impact application domains
Four dimensions
How the work creates value
Research impact is strongest when evidence, institutions, people and practice reinforce one another.
Build institutions
Create research groups, programmes, funding portfolios and partnerships that make sustained work possible.
Translate research
Move questions and prototypes into field studies, newsroom workflows, decision support, partner learning and policy discussions.
Develop people
Mentor students and researchers and create pathways into academic, public-sector and industry roles.
Research influence
Evidence across responsible AI, recommendation and behavioural decision-making
The publication record spans foundational recommender-systems research and applied work in media, health and food.
Responsible AI & journalism
Designing AI that supports trust without demanding blind trust
Research on professional ethics, provenance, usable transparency and human oversight has helped define responsible media AI as a field of study and practice.
Explore the research →
Recommender systems
Moving beyond accuracy and short-term engagement
Work on similarity, popularity bias, explanation and long-term user effects advances recommender systems that account for agency, diversity and societal consequences.
See the research initiative →Health, food & behaviour
Using data and AI to support healthier, more sustainable choices
Cross-country recipe analyses, behavioural studies and AI-tailored advice connect computational methods with nutrition, sustainability and decision support.
View related publications →Institution building
Creating environments where ambitious research can happen
Some of the most durable impact comes from building teams, programmes and infrastructure rather than from any single paper or prototype.
DARS research group
I founded and lead Norway’s largest research group focused on recommender systems, connecting methodological depth with applications in media, health and food.
Visit DARS →Computational Behaviour & AI initiative
An interdisciplinary collaboration environment linking behavioural theory, computational modelling, human-centred AI and partner-based evaluation.
Explore the initiative →Research programmes and funding
A portfolio spanning MediaFutures, NEWSREC, RE-AIMED, CuratedAI, VaccAI and international collaborations creates continuity across questions, people and domains.
See selected funding →Direct research-to-practice cases
MediaFutures studies where my research is directly visible
Selected cases connecting my own research involvement with MediaFutures, empirical studies, prototypes and partner-relevant evidence.
Climate news · emotional framing
AI reframing that makes climate news feel more actionable
MediaFutures research tested whether GPT-generated emotional framing can make difficult climate-related news summaries less avoidable and more motivating. The work shows how responsible AI can support engagement without relying on simplistic clickbait or polarising emotional cues.
My role: Principal investigator of the study, co-author and senior researcher, contributing to the research agenda connecting LLM-generated summaries, news avoidance, recommender systems and pro-social engagement.
Related paper →
News avoidance · satire
Using AI-generated satire to reconnect avoidant news users
A MediaFutures study examined whether LLM-generated satirical summaries can make serious news topics more approachable while preserving perceived quality and informational value. The case demonstrates how recommender-system research can explore engagement beyond more-of-the-same personalisation.
My role: Principal investigator of the study, co-author and research supervisor, helping frame the work around news avoidance, responsible recommendation and human-centred evaluation.
Related paper →
Project Reynir · C2PA
When people know the source of an image, they trust the news outlet more
A three-country study translated a technical authenticity standard into evidence about image credibility, source transparency and trust in news outlets. The case connects content provenance with concrete user evidence for newsroom and media-cluster innovation.
My role: Principal investigator of the user study, centre director and strategic link to the wider media-cluster initiative.
Related paper →Selected partner outcomes
MediaFutures as one platform for real-world translation
The cases below are selected collective outcomes from SFI MediaFutures. They show how a long-term research environment can connect evidence with editorial and production settings.
Faktisk.no · verification
Verification tools adopted beyond Norway
The Tank Classifier and Language Checker supported conflict verification and were reported as useful to fact-checking teams outside Norway.
My role: Centre-level strategy, partnership environment and research translation; tool development was led by the credited WP3 researchers and Faktisk.no collaborators.
TV 2 · recommendation
Responsible personalisation evaluated with partner data and users
Research on recommendation moved from modelling and prototypes into TV 2 pipelines, user studies and live-platform evaluation.
My role: Scientific contribution to responsible recommendation, centre leadership and development of the long-term TV 2 partnership.
Editorial AI · production
AI that augments professional judgement
BGClip explored faster news-video production with editorial rules built in, while AiModerator investigated contextual support during political debates.
Attribution: BGClip was led by WP3. Context and fact support during political debates was led by WP4. My role was centre-level strategy, funding and partner-facing research infrastructure.
People and professional influence
Impact that continues through others
Training, supervision, evaluation and public engagement extend the value of research well beyond individual projects.
Talent moving into practice
Former research assistant Snorre Alvsvåg moved from MediaFutures into TV 2, illustrating how centre-based research experience can create pathways from applied AI research into industry practice.
Question
Study
Publication
Next step
Supervision and mentorship
More than 35 MSc and PhD theses have been supervised across Norway, Austria and international partner institutions, with an emphasis on intellectual independence, rigorous study design and publishable contribution.
Keynotes
Evaluation
Editorial service
Public debate
Expert evaluation and academic service
Independent expert review for the Research Council of Norway, EPSRC, FWO and NWO; invited review service for ERC grants; senior programme-committee service at ACM SIGIR and ACM RecSys; manuscript review or editorial work for Nature Portfolio journals and UMUAI; and invited policy input for governments and public authorities, including the Norwegian government on research–industry collaboration.
Leadership and service
Concrete contributions to academic and professional communities
Selected roles showing how the work extends into conference leadership, institutional governance, editorial responsibility and independent evaluation.
ACM RecSys and ACM SIGIR
Workshop and Late-Breaking Results Co-Chair at ACM RecSys (2018–2020) and Senior Programme Committee member at ACM SIGIR (2020–2021).
Workshops and programme committees
Co-organised 14 international workshops, including co-founding HealthRecSys, and served on programme or senior programme committees at 52 international conferences.
Media City Bergen, governance and policy input
Former Board Member of Media City Bergen (2021–June 2022), earlier university senate and data-science steering-board service, and invited input to government and public-authority discussions on research, innovation and industry collaboration.
Independent review trusted by major institutions
Reviewed grant proposals for EPSRC, FWO and NWO; served as UMUAI Special Issue Editor and on editorial boards across AI, data and information-science journals.
My contribution
How I create the conditions for impact
The recurring pattern is to connect a strong research question with the people, resources and settings needed to test it properly.
Frame the agenda
Identify consequential questions around AI, behaviour, trust, health and democracy.
Build the environment
Assemble teams, partners, governance and funding around a coherent programme.
Generate evidence
Combine computational methods, prototypes and human-centred empirical evaluation.
Translate and sustain
Connect findings to partner learning, new projects, talent development and institutional capacity.
Work with me
Research collaboration, strategic advice or invited speaking
I work with academic, public-sector and industry partners on responsible AI, recommender systems and computational user behaviour.
Documentation note. Claims in the MediaFutures direct research-to-practice and partner cases are based on peer-reviewed papers, project outputs and SFI MediaFutures Annual Reports 2020–2025. The framed visuals are excerpts from those papers, prototypes or reports. MediaFutures outputs remain collective achievements of the researchers and partner organisations credited in the underlying work.