Enhancing Epidemic Modeling and Decision Making through Generative AI: An Integrated Framework for Disease Simulation, Forecasting, and Intervention Optimization
| Reference number | |
| Coordinator | Umeå universitet - Epidemiologi och global hälsa |
| Funding from Vinnova | SEK 186 631 |
| Project duration | June 2025 - September 2025 |
| Status | Completed |
| Venture | Global cooperation 2025 |
| Call | Planning grant for international proposal 2025 |
Important results from the project
The project achieved its goal of preparing and submitting the Horizon Europe proposal GATEWAY, which develops generative AI to strengthen epidemic modeling and decision support. It resulted in an international, interdisciplinary consortium, refined scientific objectives, and a clear research plan. The project also created valuable links to ongoing European initiatives.
Expected long term effects
The project is expected to advance the effective and inclusive use of generative AI in epidemic preparedness and decision support. The established consortium enables long-term international collaboration and future research that strengthens the link between modeling, public health, and policy decision-making.
Approach and implementation
The project was carried out as planned between June and September 2025. Activities included consortium building, stakeholder engagement, prototype development using generative AI, and proposal writing. The work progressed smoothly and on schedule, resulting in a complete and competitive Horizon Europe proposal with strong international collaboration.