The power of algorithms to detect patterns in data and learn predictive models increases every day. How can we ensure our capability to understand and explain the behaviour of these models keeps pace? This multifaceted question will be considered from a range of perspectives including exploratory data mining, humancomputer interaction, psychology, law, and causal inference in a Summer School organised by the European Association for Data Science (EuADS).
This Summer School will be opened with the Symposium « Data for All: Data Science and the Human Factor ». The Symposium is open to the general public and free of charge, but registration is required: contact@euads.org.
The Opening Ceremony will be held by Jens Kreisel, Vice-Rector for Research at the University of Luxembourg.
Peter Flach, University of Bristol and president of EuADS will give a talk on « From Data Mining Processes to Data Science Trajectories ».
Christopher Bishop, Laboratory Director of Microsoft Research Cambridge and world-renowned machine learning scholar and author, will be delivering the inaugural Sabine Krolak-Schwerdt lecture which will be on “Model-Based Machine Learning”. Sabine was the founding President of the European Association for Data Science, until she passed away in late 2017.
The programme of the entire summer school can be found here.