his conference brings together reflections on both the actual and potential impact of data science across disciplines and sectors. Submissions are welcome from any disciplinary background, with a focus on scientific contributions, conceptual themes, and reflections within the areas of:
- Responsible Data Science: Reliable and Trustworthy approaches for data engineering, data science and modern machine learning.
- Algorithmic Fairness, Transparency, and Explainability.
- Social and Ethical aspects of Responsible Data Science.
- Use cases illustrating the cross-disciplinary nature of the field of Data Science.