EDF 2026 — AI & Simulation Research Actions

Modelling & simulation supported AI framework for military decision-making and training

In a defence modelling and simulation (M&S) context, AI can provide tactical intelligence in near real time through enhanced situational awareness and planning and decision-making support. The objective is to assess the feasibility of creating an AI framework for defence applications, to serve as a springboard for the development of future tactical intelligence concepts by providing military simulation capabilities, historical data sets, a rich scenario and benchmark database, access to doctrinal models, and output from previously developed AI services. Proposals must investigate solutions in the simulation area, cover two or more use cases in forces readiness, and support operations and capability development. Mandatory activities include Studies (identifying research gaps; covering AI core components such as data ingestion, machine learning, human-AI collaboration, cybersecurity, and simulation modules) and Design activities (demonstrating at least two of four defined use cases: end-to-end MDO performance assessment, Human Machine teaming, course of actions development and comparison, and simulation to support AI data generation). The outcome should contribute to reducing time and costs in COA development and wargaming, while structuring a European simulation ecosystem for military use.

Challenge call to organise a competitive AI swarming evaluation event targeting TRL 6 for autonomous systems. Separate track for organisers of the challenge framework.

Challenge call for teams developing AI swarming technologies to participate in a competitive evaluation. STEP-labelled for industrial strategic priority.