Universities & Research Institutions
Rigorous science, applied where it can change outcomes.
We believe credible public health AI is built with the research community, not around it. Epinova welcomes collaborations in epidemiology, geospatial science, climate-health and implementation research.
Epinova modules for Research Institutions
- Epinova Predict
- Epinova Impact
- Epinova Prioritize
Built for research partners
From strong models to real programmes
Epinova offers a route from published methods to operational use - harmonised multi-source data, reproducible pipelines and programme partners who will put results to work.
- 01Harmonised surveillance, climate and population data
- 02Reproducible, transparent modelling pipelines
- 03A path from paper to programme decisions
Your challenges
What makes this work hard today
Research-to-practice gap
Strong models often stay in papers rather than in programmes.
Data access
Harmonized, multi-source datasets are time-consuming to assemble.
Reproducibility
Operational models need transparent, reproducible pipelines.
Typical use cases
Where it could make a difference
Collaborative modelling studies
Joint development and validation of forecasting models.
Implementation research
Studying how intelligence changes programme decisions.
Climate-health research
Quantifying environmental drivers of transmission.
Student and fellowship projects
Supervised research on real-world questions.
Expected workflow improvements
From today’s workflow to a connected one
These describe intended design outcomes, not measured results.
Implementation approach
A careful path from pilot to scale
- 01
Shared questions
Agree research questions, roles and publication principles.
- 02
Governance
Ethics approvals and data agreements in place before work begins.
- 03
Collaboration
Joint analysis with transparent methods.
- 04
Dissemination
Open publication where possible.