Scientific breakthroughs and major discoveries are often are based on linking information that had previously not been considered as related. Discovery informatics is the study and practice of discovering new information by identifying and validating new relationships and patterns in data using computing and analytical science and technology. Such data may originate from several domains; it is typically large scale, may be structured or unstructured, and include combinations of numbers, text, video, graphics, images, sound, and speech.
Related to Discovery Informatics is the concept of simulating a complex dynamic system so that its properties and behaviour can be understood and predicted in a controlled environment. A simulation is the imitation of a real-world process or system over time using a model that is based on a mathematical, logical or symbolic representation of the entities of the system. Simulation allows us to predict the impact of changes on real world systems or investigate ‘what-if’ questions without endangering or compromising the real system.
Data Visualisation is the study of how to make data and the output of data analytical processes interpretable to people using visual elements that can be rapidly processed by the human visual system.
Recent research in Discovery informatics, Simulation and Data Visualisation at DSI has focused on the following directions:
- Pandem -2 EU project - Data Management, Simulation and Visualisation for future pandemic preparedness
- Public health monitoring using informal health reports and search queries
- Enhancing Knowledge Graph Completion Models and Selected Biological Applications
- Diffusion-Based Models for Semantic Relatedness
- Industrial IOT and Digital Twins for Smart Factory
Our research on Discovery informatics, Simulation and Data Visualisation is supported by Science Foundation Ireland as part of its funding for the Insight SFI Research Centre for Data Analytics, Confirm SFI Research Centre for Smart Manufacturing and EU H2020.