Winner Jury award
Winner Jury award
Winner Public Voting
First responders are at the frontline whenever there is a public health emergency. The recent outbreak of COVID-19 has shown us that we need to quickly provide first responders with the best technology and resources so that they can protect the health and safety of people around the world.
The NATO Innovation Challenge is seeking innovative solutions that will enable leaders and teams of first responders to utilise information systems to help identify false information and mitigate the effects of this information on generating a true common operating picture, predicting behaviours, and supporting decision making in order to protect themselves and civilians.
Out of 167 applications, 10 Finalists are selected to pitch their solution to the NATO officials during the NATO Pitch Day on June 17th.
Public voting has now ended. The winner of the public voting award will have multiple private meetings with NATO innovators to explore collaborations for their solution. Cast your vote below!
UK, US and Sweden
Exonaut Common Operating Picture Solution for Crisis Management
The Exonaut Common Operating Picture (COP) is a decision support tool providing shared situational awareness during the full life cycle of a crisis. It is built around the following four features: A Common Operating Picture interface to support decision makers based on verified facts, assumptions about future developments, directions for crisis response, and communications strategy. A “fact engine”, where incoming information is treated as independent data objects, to which corroborating evidence can be suggested, linked and subsequently verified. A mobile app to securely manage two-way communication and verification of local information with field-based users. An interactive crisis dashboard and map, with geo-fencing alerts, location intelligence and real-time asset tracking. The COP solution builds upon 4C’s battle-tested readiness management platform, Exonaut, and lessons learned in its development for the European External Action Service, NATO, the British, US Army and others.
Mustr - Secure mobile accountability for the distributed workforce
Mustr is a mobile tool that enables rapid information dissemination, status checks & automatically aggregated information flow to enhance distributed operational continuity and unlock vital insight into the state of an organization and the environment. Mustr gives small teams the ability to adapt, organize, and coordinate quickly, even across organizations and boundaries. Users can share information and maintain situational awareness while keeping focus on the core mission. Mustr also enables those users to quickly structure and understand what is otherwise messy and uncaptured data and information amidst fluid situations. As operators in the field use Mustr, they create data that supports leadership decision-making, keeps people more safe, and extends truth across organizations, languages and borders.
Network Centric Healthcare: collaborative data platform for forecasts and decision-making
COVID19 hit us all by surprise. But it has also shown the power of humanity. A global community stood up to fight the virus shoulder-by-shoulder. However, on a technical level, people still struggle to collaborate. Scattered initiatives and a lack of standards has led to a lot of lost potential. Drawing lessons from the military, we invented a Common Data Platform on which people and organisations come together to combat disease. It provides real-time data exchange between health care workers, politicians, scientists and crisis response teams. Everyone can build their own forecasts and dashboards for a variety of use cases like the allocation of ventilators and medical supplies. Fighting disease is like fighting war: information is key. Information sharing leads to shared situational awareness, which leads to aligned decisions, which ultimately leads to victory. Involved parties need access to relevant information to make the best decisions. Our solution provides exactly that.
Smart-drone medical supply chain innovations, providing distribution and allocation solutions
Team Big Rock Technologies’ smart-drone medical supply chain innovations provide distribution and allocation solutions for first responders, rural communities, and isolated individuals. We safely and effectively provide two way transportation of up to 100 lbs (45 kg) of tests, medicines and supplies, supplying remote populations and vastly reducing the costs of travelling to healthcare facilities for evaluation, treatment, and medication. Our unmanned no-touch medical delivery-drones and state-of-the-art drone-repositories are ready to transport testing kits, critical supply packages like food and essential equipment, as well as medical parcels. The autonomous point-to-point delivery networks are both ‘click and collect” and sterile, reducing the need for recipients to wait for deliveries, and eliminating the risk of infection of diseases like COVID-19. These technological advances allow municipalities and private organizations to develop customized applications targeted to preventative and response services, with the ability to deliver products and services to isolated populations.
Geospark Analytics’ Hyperion global threat and risk intelligence platform
Geospark Analytics enables users to make better decisions faster by identifying events, enhancing indications and warnings, and forecasting stability to mitigate risk. Like a weather app forecasts the temperature, our Hyperion AI engine forecasts stability and the drivers of stability. Hyperion automates information gathering and intelligence analysis using news, social media, economics, and weather from over 6.8 million sources. Its AI/ML models assess activity and stability levels in real-time for every spot on the globe. Hyperion is a substantial force multiplier for NATO by shifting the traditional approach of assessing the operational environment to a focus on the future.
iTRUST (Integrated TRUstworthy Situational Tableau)
iTRUST is a situational awareness dashboard for monitoring, foresight, and optimal response in rapidly evolving situations such as pandemic or humanitarian disaster. iTRUST will enable users to fuse data from multiple data sources and social media outlets into a comprehensive real-time situational awareness. Trust scores and confidence level for incoming information will be computed and deceptive or malicious (fake) posts will be identified. iTRUST will assist decision-makers understand and forecast the most likely near-term evolution of the situation and recommend the optimal course of action for the desired outcome. POLARes Team in collaboration with Princess Sumaya University will capitalize on their work on social media analytics that has already been done for NATO in an ongoing project known as iHELP (Intelligent Holistic Emergency Logistic Platform)
Context-aware information fusion verification framework for situation assessment
An increasing amount of unproven data mixed with truthful information from various sources results in commanders having difficulty in making decisions such as pandemic response. We at CSI propose to develop an information fusion-based (IF) verification framework for decision support system (DSS). This is developed from CSI’s systems for real-time DSS applied to real- time drilling, space, defense, smart cities. Our DSS consists of data alignment and fusion, followed by trend and content analysis which track events of interest. By understanding data sources which impact prediction and identifying anomalies with predictive analytic models, this information will be combined in our decision engine to assess situations. We also propose to check the authenticity of sources and content to determine impact on the predictive models. Our solution makes it possible to leverage artificial intelligence and multi-source data to discover early indicators, identify patterns, to deliver predictive insight and support decision-making.
Automated detection of potential misinformation and disinformation for Videos and Photos
Our company has developed technology to verify videos and photos, in real time, filtering misinformation and disinformation. The core ideas for our solution were spawned during almost a decade reporting on the NATO mission in Afghanistan, witnessing firsthand the challenge of analyzing intelligence in fast moving situations, and the cost of getting it wrong. Eyewitness videos and photos are regularly used in open source intelligence gathering. The single biggest problem using eyewitness videos and photos is verification – is it true, or is it false? Traditional verification is manual, slow, and inconsistent, which is why we have automated the process, applying digital forensics to deliver rapid reliable results.
Defense-grade drone for surveillance and emergency supplies delivery
Defense-grade drone for surveillance and emergency supplies delivery When supply routes are cut-off by hostile forces, an environmental disaster or a biological threat such as covid-19, isolated communities might suffer from the lack of essential items such as medical supplies or food, for example. TriStar drones can be used to carry valuable supplies faster than any other vehicle in emergency conditions. When supply routes are cut-off by hostile forces, an environmental disaster or a biological threat, use TriStar drones to continue delivering up to 20 kg (44 lbs) of supplies per flight, up to 50 kms away of either food, medical suppliers or any emergency items. In addition, TriStar drones will help leverage advanced sensor data and operate from anywhere, even from moving vehicles in order to provide continuity of reconnaissance and logistics operations in hostile environments.
Machine Learning for False Information Detection
IMRSV Data Labs proposes a solution capable of processing large quantities of information to detect false information. False information is identified by utilizing known knowledge bases of reputable information from public health organizations such as the Public Health Agency of Canada, World Health Organization and Centre for Disease Control.
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