In this project, we aim to investigate how the largely separate research streams of Bayesian econometrics, statistical model checking, and machine learning can be combined and integrated to create innovative and powerful tools for the analysis of big data in economics and other social sciences. The computational statistics group at TU Wien is focusing on dimensionality reduction methods in high dimensions and on the collaboration with the cyber-physical systems group at TU, which aims to build an interdisciplinary framework for explainable algorithms.
Coordinator: Gregor Kastner, University of Klagenfurt
Partners: Alpen-Adria University Klagenfurt, Paris Lodron University Salzburg, TU Wien, WIFO (Austrian Institute of Economic Research)
TU Wien team: Roman Parzer, Laura Vana-Gür
Program / Call: FWF Zukunkftskolleg Grant
Funding: FWF Austrian Science Fund
Start: 01 August 2019, duration: 4 years
Project web page:https://zk35.org/, öffnet eine externe URL in einem neuen Fenster