Data Analytics

What is the Data Analytics Unit?

The Data Analytics (DA) unit lies at the core of data science and AI applications that are transforming society. The members of the DA unit study, develop, apply, and evaluate data analysis methods that enable individuals, organizations, and society to make better decisions and achieve socially beneficial goals. Our conception of a data analysis method includes formal, statistical, and machine learning techniques that can be trained on real data to make predictions in specific domains, helping to identify leverage points for understanding system behavior. The DA unit’s research is driven by impact, deriving its questions from real-world applications, and benefits from the diverse expertise of its members, ranging from advanced machine learning to social network analysis and explainable AI.

Why is Data Analytics important?

Data analytics plays a vital role in shaping how individuals, organizations, and society make informed decisions, especially as social systems increasingly rely on data science and AI. By developing and applying data analysis methods, the DA unit helps organizations—from policymakers to health institutions—use data responsibly to achieve better outcomes. This is especially critical in ensuring fairness and transparency in AI-driven decisions that impact citizens’ lives. By combining fundamental research questions with real-world applications, data analytics supports advancements in a variety of fields, contributing to socially relevant challenges and ensuring responsible AI outcomes.