Daniel Thilo Schroeder
I am a Research Scientist in the Smart Data group at SINTEF, based in Oslo. I study information integrity and build methods for working with large, connected datasets.
My recent work asks how coordinated AI systems could manipulate public debate, and how we can simulate these campaigns to understand the risks and test possible defenses. I also work on scalable graph computing and data infrastructure for marine and environmental research.
Selected Work
- How malicious AI swarms can threaten democracy · Science, 2026
How coordinated AI agents could manufacture apparent public agreement, and where technical and policy responses could help. - IO Factory: Simulating AI-Enabled Influence Campaigns at Scale · arXiv preprint, August 2026
A framework for studying coordinated influence campaigns in controlled simulations, with traceable actions and measurements. - Automated Disinformation and Malicious AI Swarms: Risks for Democracy and Development in Africa · arXiv preprint, October 2026
A forward-looking analysis drawing on Mali and Ethiopia, examining potential risks and safeguards without assuming autonomous swarms already operate at scale.
Current Projects
- AI-enabled influence and malicious AI swarms: simulation, evaluation, and methods for observing coordinated influence, with collaborators at SINTEF, the University of Oslo, BI Norwegian Business School, and the Max Planck Institute for Security and Privacy.
- CEREBRA-AI: trustworthy general-purpose AI, connecting knowledge graphs, reasoning, and reliable data pipelines, including maritime and coastal applications.
- AquaINFRA, SEADITO, and Geo4Water: making marine and environmental data easier to connect, reuse, and apply to research and decision-making.
All projects and collaborators
Background
Before joining SINTEF, I worked at OsloMet on digital communication and conflict in Ethiopia and Mali through DD-MAC, and as a postdoctoral researcher at Simula on scalable graph neural networks through EGNE. At SINTEF, I also contributed to the now-completed Graph-Massivizer project on processing very large graphs.
I received my PhD from the Technical University of Berlin, working with Simula on UMOD: understanding and monitoring “digital wildfires,” the rapid spread of harmful misinformation online.
Full CV · Public engagement and media enquiries · Events