FoD (Foresight on Demand) is a framework contract that equips the European Commission with rapid, science-based foresight input for long-term policymaking. The project provides timely support for crisis situations, emerging risks, and complex policy challenges by mobilizing the best available foresight knowledge.
What FoD delivers
- Identifying and analysing change through horizon scanning and trend analysis
- Exploring and shaping futures through scenario development, vision building, and backcasting/roadmapping
- Testing and informing policy through stress-testing and foresight-based recommendations
- Tailored combinations of these and additional approaches are applied to address specific policy needs.
Who it serves
The contracting authorities include:
- European Commission
- ERCEA - European Research Council Executive Agency Brussels (Belgium)
- FRA - European Union Agency for Fundamental Rights Vienna (Austria)
- ETF - European Training Foundation Torino (Italy)
- EEA - European Environment Agency Copenhagen (Denmark)
- EUROFOUND - European Foundation for the Improvement of Living and Working Conditions Dublin (Ireland)
- EFSA - European Food Safety Authority Parma (Italy)
- EMCDDA - European Monitoring Centre for Drugs and Drug Addiction Lisbon (Portugal)
- ECDC - European Centre for Disease Prevention and Control Solna (Sweden)
- EISMEA - European Innovation Council and SMEs Executive Agency Brussels (Belgium)
- CBE JU - Circular Bio-based Europe Joint Undertaking Brussels (Belgium)
- EU-RAIL - Europe’s Rail Joint Undertaking Brussels (Belgium)
- EASA - European Aviation Safety Agency Cologne (Germany)
- OSHA - European Agency for Safety and Health at Work Bilbao (Spain)
- Global Health EDCTP3 (entity under creation at the time of publication of the call for tenders)
Why it matters
FoD bridges foresight expertise and policy decision-making. By exploring possible futures, it helps reduce uncertainty in the face of complex challenges. It enables decision-makers to act swiftly while maintaining high evidence quality and making uncertainty explicit.