Impact detection is a research area that involves identifying and analyzing sudden or significant changes in data or a system. This could include detecting unexpected events, anomalies, disruptions, or other disturbances that may have a significant impact on a system or process. Impact detection methods may involve the use of statistical techniques, machine learning algorithms, or other analytical approaches to identify and characterize these changes. The goal of impact detection is to enhance understanding, monitoring, and control of systems by quickly and accurately detecting and responding to impactful events. This can be useful in a variety of fields, such as finance, cybersecurity, manufacturing, and environmental monitoring.