Data Analytics
Data Analytics unit at JADS
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.
Our research
The research of the DA unit encompasses a wide range of topics, including explainable AI, personalized deep learning predictions, and recommender systems, evaluated beyond simple accuracy metrics to include behavioral and experiential aspects. This helps in understanding how algorithmic metrics such as diversity and novelty affect individual and community perceptions. Our work spans multiple JADS research themes, contributing to diverse domains such as Social and Sustainable Entrepreneurship, Crime and Safety, Agrifood and Nature, and Health and Vitality. The DA unit is also heavily involved in teaching machine learning, data mining, and data analytics topics, and collaborates with other JADS units, industry partners, and universities, supporting impactful research and outreach through integrated projects and ethical research practices.
Projects and labs
Lab: SimplifAI
KPN and JADS scientists work together in the joint ICAI Research Lab on Responsible AI, whose goal is to develop transparent, privacy-aware, and personalized AI solutions for businesses.
Project: TREAT
TREAT aims to help patients better manage chronic diseases like diabetes, heart attacks, cancer, and chronic respiratory diseases.
Research team
Uzay Kaymak
Full professor
Rogier Brussee
Lecturer
Eric Postma
Coordinator Data Analytics Unit
Peter de Kock
Professor of pratice Data science in Crime & Safety
Danielle Sent
Associate Professor
Martijn Willemsen
Associate professor
Claudia Zucca
Assistant professor