by Nicole Andria | Sep 7, 2018
Deep Learning for Observational Cosmology – DLOC Co-PIs: Dr. Tomasz Kacprzak (ETH Zürich) Dr. Aurelien Lucchi (ETH Zürich) Prof. Alexandre Refregier (ETH Zürich) Prof. Thomas Hofmann (ETH Zürich) Problem: Building on the latest developments in machine learning in...
by Nicole Andria | Sep 7, 2018
Data Science Enabled Acoustic Design – AADS Co-PIs: Matthias Kohler (ETH Zürich) Fabio Gramazio (ETH Zürich) Jürgen Strauss (Strauss Electroacoustic GmbH) Kurt Eggenschwiler (Empa) Problem: Acoustic design is often neglected in the majority of the built environment....
by Nicole Andria | Sep 7, 2018
Bayesian Parameter Inference for Stochastic Models – BISTOM Co-PIs: Carlo Albert (Eawag), Dr. Antonietta Mira (USI) Dr. Christian Rüegg (PSI) Problem: Reliably estimating parameters of mechanistic models from data (Bayesian inference) is computationally expensive if...
by Nicole Andria | Sep 7, 2018
A Research Platform for Data-Driven Democracy Studies in Switzerland -DemocraSci Co-PIs: Dr. Dr. Frank Schweitzer (ETH Zürich) Dr. Ingo Scholtes (University of Zürich) Problem: Lack of easily accessible, structured data for data science applications in political...
by Nicole Andria | Sep 7, 2018
Context-Aware Mobility Mining Tools – COMMIT Co-PIs: Dr. Martin Raubal (ETH Zürich), David Jonietz (ETH Zürich) Problem: Current methods for mining movement trajectories in order to analyze our mobility behavior omit the movement’s context (e.g., weather,...
