The lecture series takes place as a hybrid event with on-site participation and online access. The zoom link for the lecture will be made available in good time via the SFB's mailing list. Guests can register with Damaris Lehmann by email. Send an email
Gabriele Gramelsberger (RWTH Aachen): "Collaborating with machines: Researchers Meet ML-Algorithms"
In scientific research traditional methods like theory, experiment, and measurement have been expanded by computational methods, such as computer-based simulations and, since a few years, machine learning techniques. The latter epistemically introduce a new culture of research as they are learning and self-learning techniques, representatively. For instance, in climate simulation ML-algorithms update the model while being computed, in material science ML-algorithms propose new materials. Thus, we experience the beginning of a new era of man-machine collaboration in research beyond traditional use of instruments and computers in science. The talk will explore this emerging new culture of research and its epistemic challenges.
Gabriele Gramelsberger is Professor for Theory of Science and Technology at the RWTH Aachen University. Her research focusses on the transformation of science into computational science, shifts in the epistemology of research, and the mathematization of meteorology and biology. She is currently building up the Computational Science Studies Lab at the RWTH. She is Director of the Käte Hamburger Kolleg “Cultures of Research” and a member of the North Rhine-Westphalian Academy of Science, Humanities and the Arts.