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| Activity title | Human Digital Twin in the Military: findings and perspectives | Activity Reference | HFM-MSG-375 | Panel | HFM | Security Classification | PUBLIC RELEASE | Status | Active | Activity type | RSM | Start date | 2023-11-09T00:00:00Z | End date | 2026-11-09T00:00:00Z | Keywords | Digital Twin, Human Modelling | Background | A human digital twin is a digital representation of an individual that captures, stores, and analyzes data from multiple sources to accurately reflect the person's physical and mental state. It is a powerful tool that can be used to monitor an individual's health, activity, and lifestyle to predict and identify potential health risks, provide personalized health care advice, and project future performance. This technology is becoming increasingly popular in the medical and healthcare industries as a way to provide more tailored and individualized care. It can also be used to provide more accurate insights into behavior and lifestyle patterns, as well as to provide better predictions of future health needs. In this way, a human digital twin can be used to improve the quality of healthcare and provide better outcomes for patients. This technology is also being applied in sports medicine and in some manufacturing environments to provide insight into risk of injury and predict performance.
The Human Digital Twin is a powerful technology that can be used to simulate and analyze the performance of soldiers in a variety of demanding environments. By integrating a range of data sources into a single platform, the Human Digital Twin can provide real-time insights into the physical and mental performance of soldiers during training, operations, and deployments. This data can be used to identify weaknesses in their performance and develop personalized strategies to improve their performance. Additionally, the Human Digital Twin can be used to compare the performance of individual soldiers and units to identify the most effective and efficient methods for accomplishing missions. This can provide invaluable insights into how to optimize training and operations for maximum success. Ultimately, the Human Digital Twin can provide a powerful tool to help the military train, equip and deploy better soldiers and maximize the effectiveness of their operations.
Although powerful, existing legal and ethical frameworks may limit the use and utility of human digital twins. For example, in the United States, the Health Insurance Portability and Accountability Act limits the sharing of sensitive patient information. Further, social norms and expectations may impose additional constraints, for example, individuals may be opposed to sharing certain behavioral data with supervision, yet be willing to share similar data with interested 3rd parties, such as safety personnel.
| Objectives | The current technology readiness level (TRL) of human digital twin scientific research in the military domain is still in the early stages of development, at TRL 4. This means that many scientific topics need to be still addressed, with particular focus on:
1. Better Prediction of Human Behavior: The use of predictive modeling, statistical analysis, and machine learning techniques to anticipate and respond to the behavior of enemy forces.
2. Data Collection and Protection: The use of low power, noninvasive sensors to collect soldier specific data as well as methods to securely transmit and store data necessary to support human digital twins.
3. Human-Centric Artificial Intelligence: The use of Artificial Intelligence (AI) to create robust models of humans and the prediction of future performance on the battlefield.
4. Improved Human-Robot Interaction: The development of intuitive user interfaces and natural language processing to allow humans and robots to collaborate more efficiently.
5. Customized Decision Support Systems: The use of Artificial Intelligence (AI) algorithms to provide custom decision support based on their current capabilities as informed by the digital twin, as well as providing AI-supported analytics to commanders based on the health of individual soldiers in the battlespace.
6. Conduct an analysis of existing international, ethical, and social frameworks applicable to Human Digital Twins. Assess gaps in these frameworks which may limit the adoption and use of human digital twins.
| Topics | It is also expected that the Specialists’ Meeting could address the following scientific aspects:
1. Lack of real-world data sources: While there has been some progress made in developing the technology for the human digital twin, much of the current research is focused on building the technology and not on collecting real-world data for the twin to use. This lack of data will limit the usefulness of the twin in many cases.
2. Lack of robust security: As with any data-driven technology, security is a major concern. Digital twins can be used to store sensitive information, so data protection and privacy measures must be taken to ensure the security of the system.
3. Lack of usability: Many digital twins currently being developed are not user-friendly and require a lot of technical know-how to use. This can limit their usefulness in the military domain, where the users are often not experts in the technology.
4. Lack of scalability: Many digital twins are limited in their scalability and cannot be easily adapted to multiple use cases. This can limit their usefulness in the military domain where the requirements may change frequently.
5. Lack of integration: Many digital twins are not integrated with other systems, making it difficult to leverage their data. This limits the usefulness of the twin in the military domain where the data must
6. Legal, Ethical and Social: Data associated with digital twins can be protected by legal and ethical frameworks. Further, social norms and the threat of unwelcome supervisory oversight can limit the willingness of individuals to voluntarily apply digital twins. This has the potential to undermine the robustness and utility of available information.
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