The conference will feature keynote presentations by Prof Chris Holmes and Prof Mattias Villani, and sessions on Machine Learning & AI, Data Science & Statistics, Data-driven Science by Data Science, and Human-centered Data Science. The 2-day event features talks and discussions by leading international scientists and local experts on the interaction between data science, statistics, machine learning, and AI, as well as their applications in science and society.
One of the invited speakers is Michael Sedlmair, professor for Augmented Reality and Virtual Reality at the Visualization Research Center of the University of Stuttgart (VISUS). “It is a great honor to be an invited speaker at the CEDAS conference 2021. I am very much looking forward to the inspiring and productive collaborations between SimTech and the team in Bergen. Lykke til!” says Michael Sedlmair on the occasion of his talk on „Understanding Data: A Quest for Human-Machine Collaboration”.
Working with and leveraging data has become one of the main pillars of modern science, industry, and society. With the advent of learning-based approaches, there has been a strong focus on how this data can be used to fully automatize certain problems. While full automatization is easy to communicate in the media, the contemporary rhetoric seems to forget that most data problems will continue to necessitate meaningful interfaces and cooperations between humans and machines. His work focuses on these interfaces, and Michael Sedlmair seeks solutions that help people work with and understand their data by combining approaches from data visualization, human-computer interaction, and computational analysis. In this talk, he will look at different examples of such human-data interfaces, and discuss a model that could help us to characterize the problem space between full automation and human-in-the loop approaches.
All presentations will be live-streamed. Registration for the conference is free, and can be done by filling out the registration form.