Sep 10 – Sep 15, 2023, Dagstuhl, Germany
https://www.dagstuhl.de/23372
This Dagstuhl Seminar aims to bring together an interdisciplinary group of researchers and practitioners, spanning Data Science (DS) and Machine Learning (ML), Visualization and Human-Computer Interactions (HCI), and Provenance; to tackle the challenges in automated data science (AutoDS). We specifically focus on ways that methods from human-centered design approaches and provenance can be leveraged to “open up the black box” of AutoDS, introduce greater observability of these methods, and promote human-machine teaming. We observed that there exist many parallel efforts across different disciplines that have yet to be integrated; our seminar aims to bring together these different perspectives to produce a general synthesis of methodologies and techniques for advancing AutoDS.
