Privacy by Design
Your company, hospital, or public agency wants to harness the power of big data to make your operations more efficient. You want deeper insights into what makes your clients tick, or you need a dashboard for real time decision making. This may have societal impacts because of sensitive data, fairness issues, and the need for transparency and trustworthiness. Responsible Data Science anticipates these ethical values as part of the innovation process, creating a sustainable model for data science applications and developing novel techniques that are compliant with fairness, accountability, transparency and confidentiality requirements by design.
Meet our Core Team
In our research we study methods and techniques that are compliant with fairness, accountability, transparency and confidentiality requirements by design. Using the promises of big data in most application domains requires careful thought about ethical and societal values (fairness, responsibility, trust), but also about personal privacy and data security. This is an interesting field of study for scholars from both the social and the computer science domains. Combining this into one program promises a fruitful collaboration, ensuring integral approach to this important topic.