Data analytics is the process of systematically evaluating data to extract useful information and insights. Data analytics can be used to identify patterns, trends, and relationships in data that can help inform decisions, optimise processes, and predict future developments. Techniques such as machine learning, artificial intelligence, statistical analysis, and big data technologies play a central role in data analytics.

Research

The chairs research focuses on two main areas: (1) the digitization of the individual and (2) social inclusion.

1. Digitisation is no longer limited to corporate boundaries. Personal technologies show extraordinary growth rates, and today's private life is characterised by such technologies. The digitisation of the individual refers to the proliferation of digital technologies in the lives of individual users. We study the behavior of digitised people, the positive or negative consequences for them and others, as well as their contextual limitations and the design of technologies for digitised people.
    
2. Social inclusion research examines the extent to which information technology enables or hinders the participation of individuals and social groups in the social structures in which they exist. It also analyses the needs of underrepresented producers and consumers of technology. The research addresses a range of issues, including the underrepresentation of gender minorities, race, ethnicity, neurodiversity, and ability; socioeconomic divisions that affect access to or use of technology; design for people with disabilities; the digital divide; and underserved groups in the information society.