\
&
Contact us
Published on | 1 month ago
ProgrammesNATO’s Defence Innovation Accelerator for the North Atlantic (DIANA) has published a challenge on decision superiority for NATO warfighters. The challenge is designed to find dual-use solutions that help users collect, combine and interpret large amounts of information in real time, including in degraded or contested settings. The focus appears to include improved situational awareness, support for command decisions, and tools that help turn data into usable insight.
Relevant technologies may include artificial intelligence, machine learning, advanced analytics, sensor fusion, visualisation, decision-support systems and human-machine teaming. The challenge appears to look for solutions that can work across domains and support faster, more accurate and more resilient decision-making.
For this challenge, DIANA seeks to identify AI-enhanced, ML and related software solutions to increase analytical depth, dynamism, and decision speed during operational planning and execution.
This challenge is targeted at start-ups, scale-ups and non-traditional suppliers to the defence industry, with mature solutions that are TRL7 or above to enable deployment within months.
Further details should be checked on the official challenge page, including scope, eligibility, deadlines and application conditions: https://www.diana.nato.int/challenges/decision-superiority-for-nato-warfighters.html
We offer news and event updates, covering all domains and topics of Horizon Europe, Digital Europe & EDF (and occasionally, for ongoing projects, Horizon 2020).
Stay informed about what matters to you.
By signing up, you can opt in for e-mail notifications and get access to
a personalised dashboard that groups all news updates and event announcements in your domain(s).
Only for stakeholders located in Flanders
The City of Hasselt took part in the ONELAB project (2022–2025) as an end user. The project was funded under Horizon Europe (HORIZON-CL3-2021-DRS-01-05) and focused on developing modular Rapid Response Mobile Laboratories (RRML). These laboratories are designed for rapid deployment in a variety of settings to support disease monitoring.