Donnerstag, 07. Juli 2022, 16:30 - 19:00 iCal

Distinguished Lecture Series WHAT IS DATA SCIENCE?

David W. Hogg, Center for Cosmology and Particle Physics (New York University): Is Machine Learning Good or Bad for Science?

Urania, Dachsaal
Uraniastraße 1, 1010 Wien

Lecture


The purpose of our lecture series is to bring international scholars to the University of Vienna to give their perspective on the challenges and opportunities that data science presents to us. These international speakers will be complemented by local perspectives from the University of Vienna on how Data Science is being done here.

Our talks aim to reach a wide audience in all sciences and industries, from bachelor students to accomplished scholars and industrial practitioners, from humanities to the natural sciences and business and government.

David W. Hogg, Center for Cosmology and Particle Physics (New York University): Is Machine Learning Good or Bad for Science?

Machine learning is presenting new opportunities in the natural sciences. The standard machine-learning workflow represents a very different epistemology than that of other kinds of scientific methods. How does that impact our results and beliefs about those? David W. Hogg will talk about the different possible roles for machine learning in science using some examples from his own field of astrophysics. He will discuss them both in terms of their epistemological and ontological underpinnings and also in terms of their effects on measurement precision and understanding. He argues that, for example, there is a great difference between using a Gaussian Process to model an unknown noise process in an experiment and replacing a physics-based simulation with a deep-learning emulator.

 

 

Zur Webseite der Veranstaltung


Veranstalter

Research Network Data Science/Faculty of Astrophysics


Um Anmeldung wird gebeten


Kontakt

Petra Schönfelder
Research Network Data Science @ Uni Vienna
+43 1 4277 50586
petra.schoenfelder@univie.ac.at