On March 5, CWTS and the Leiden University Data Science Research Programme will organize the symposium ‘Fairness and Transparency, towards responsible data science’. We have four highly respected speakers, who will each give a unique perspective on responsible data science:
- Ricardo Baeza-Yates: Bias on the Web
- Mireille Hildebrandt: Saving machine learning from crappy applications
- Ute Schmid: Interactive learning with mutual explanations
- Ismael Rafols: Contextualisation and participation for responsible use of quantitative evidence in policy
Registration for the symposium is free of charge. More information is available here.