Helmholtz Information & Data Science Academy Lectures
The HIDA Lectures is an event series organized by HIDA together with the six Helmholtz Information & Data Science Schools. Throughout the year, the Data Science Schools invite outstanding international Data Scientists to speak about their ongoing research.
As the Schools represent all Helmholtz research areas - Energy; Earth and Environment; Health; Information; Matter; and Aeronautics, Space and Transport - the series will reflect a wide range of topics and offers a great opportunity to dive into the diversity of current approaches in Data Science.
We cordially invite the interested public and especially PhD students in the Helmholtz Association, who can gain insight into the diverse activities of the Schools and HIDA but most importantly discuss with international researchers about different application fields of Data Science.
All lectures of the series are public.
The host of this HIDA Lecture is the Munich Data Science School MUDS.
HIDA Lectures @ MUDS
Speaker: Niki Kilbertus (Helmholtz AI München)
Date: 29.09.2021, 11 a.m.
Title: "(How) can we find true cause effect relationships in data? — An introduction to the instrumental variable setting"
Abstract: This is of interest to all research school, since our shared goal is to gain scientific insights (from within the core pillars of Helmholtz) using data and information technologies. While associations can provide valuable pointers to relevant phenomena, they do not directly warrant conclusions about the true underlying mechanisms. Causal inference is a promising tool to bridge that gap for a variety of machine learning techniques and application domains.
