![](https://blog.office.ilab.zone/wp-content/uploads/2024/06/AWARE.png)
Problem To Solve:
NATO Innovation Hub were challenged with a discovery analysis report that confirmed that there’s a lack of data analytics tool to enable fast detection and reliable exploitation of open-source information and documents supporting NATO activities, such as target area analytics, without dedicated ISR (Intelligence, Surveillance and Reconnaissance). Potential cases are disaster relief efforts, stability operations, military response operations, or humanitarian missions.
Fast forward, AWARE was created to improve operational environment understanding and decision making through the capability to aggregate, enrich and visualize data from open sources facilitated by data science methods (machine learning, natural language processing and advanced analytics).
The situational awareness tool helps decision makers make informed decisions. Most analysts and users have described the AWARE solution as more than technology given its ability to collect information systematically from various relevant open/data sources online; identify and categorize possible collateral concerns and understand patterns of life in order to predict behaviors.
The graphical user interface (GUI) is user friendly, and the information are displayed intuitively. The solution connects and interacts with a good number of various data cards / sources including – Public transportation, Traffic animalities, Google maps, data for good, open street maps Air BnB and many more to ensure that the product is fit for purpose.
Furthermore, the solution adopts the fundamental steps (Perception, Comprehension and Projection) in obtaining situational awareness and captures key components (environment, individual factors etc.) required through each step of the process.
Details
Client: NATO ACT
Status: On production with nations
User Group: NATO Entities
![](https://blog.office.ilab.zone/wp-content/uploads/2024/06/Aware-2.png)
Product Highlights:
AWARE improves operational environment understanding and decision
making by aggregating, enriching, and visualising data collected from
open sources, facilitated by data science methods including machine
learning, natural language processing and advanced analytics.
- Collects information systematically from relevant open sources
- Assessess coherency of collected data
- Identifies and categorizes possible collarteral concerns
- Understands patterns of life in order to predict behaviors
- Extracts information specifically related to designated areas from social media and online sources
- Displays this information in an intuitive and easily understandable manner