What is a digital twin?
A digital twin is a digital program that can represent and simulate a real-world object, process, service or environment to model how it will behave and perform in reality. Programs that create digital twins can integrate the Internet of things (IoT), artificial intelligence, and software analytics to make outputs as accurate and detailed as possible. Think of a digital twin as a highly accurate and flexible prototype that can be easily modified and used to predict outcomes more effectively.
Why use a digital twin?
Digital twins have emerged from the need to ensure that new solutions and innovations will perform as intended before further resources are invested in their physical implementation. They can be used across a range of industries to test, model, develop and evaluate a product, service or system.
How can they be used to combat climate change?
Digital twins can model how different climate change scenarios will impact societal and environmental systems in the real world. These digital models and predictions can then help us develop more effective, targeted and financially-sound climate solutions and strategies. The 100 innovative solutions RESIST will help bring to the market will be digitally simulated to allow for rigorous testing, ensure stakeholders can engage with them throughout the process, and avoid unnecessary costs and undesired outcomes when applying the solutions in reality.
Using digital twins to raise awareness
Digital twins can also be used for educational, communication and awareness-raising purposes since they can visualize different climate scenarios and adaptation solutions in specific contexts. Digital twins can therefore bring citizens and other interested parties closer to the solutions being implemented and generate a greater overall engagement and sense of ownership. This is especially relevant for climate change adaptation solutions that might not be visible or close to citizens but that are nevertheless relevant to them. Digital twins can visualize the interlinkages of solutions so that they can be understood in a wider context.