Lead
The goal of this project is to enable people to analyse, process and “see” data on interactions between people, systems and the environment. Records of phone calls or social media posts are just two examples of such data. This type of analysis could deliver new business insights and improve decision making. The constant stream of data generated by people, software systems and the physical world has three distinguishing characteristics: it is very large, it is very varied and it accumulates very fast.

Lay summary

Information is also more accessible than ever before. For example, in many applications (e.g. phone calls and social media), data that record interactions between people, systems and the environment are available for analysis. The goal of this project is to conceive, develop and validate novel techniques and approaches for exploiting these data. The project tackles three main challenges: how to store and manage the data; how to ask questions about the data that provide useful answers; and how to “see” changes in the data over time.Past research efforts have focused on data related to static relationships between entities (people, places and things). But data change over time, and we need to understand the trends. In addition, the amount of data recorded is constantly growing, which makes efficiently storing and processing it a significant challenge.

Past research efforts have focused on data related to static relationships between entities (people, places and things). But data change over time, and we need to understand the trends. In addition, the amount of data recorded is constantly growing, which makes efficiently storing and processing it a significant challenge.

Our project tackles three main challenges related to processing and visualising data about interactions. First, we will develop the computer system infrastructure needed to store and manage the data. Second, we will create a specialised computer language that allows users to ask questions about the data. Finally, we will design a method of visualising data that allows users to see how the data change over time.

Given the wide variety of applications for data that record interactions, and the need to understand and gain insights from those data, we expect the successful completion of this project to have a broad impact on both research and industry.