WG 1: Technological Enablers and Data Science

Machine learning has become a decisive competitive factor in science and business, transforming the way we work and live our daily lives. This has been made possible by advances in machine learning and data science. Over the past decade, progress in machine learning has been based on a combination of scalable algorithms, increasing computing capacities and extensive data sets (e.g. text, images, program code, etc.) and even real-time data streams. Data science goes beyond machine learning and encompasses the entire process from managing, curating, cleaning and analysing data to storing, validating and applying models that have been trained on the basis of the data.

Topics and organisation of the Working Group

The working group deals with the technological foundations and enablers of learning systems. It performs a cross-cutting function within the platform and provides impetus to all other working groups.

Members of the Working Group

Prof. Dr. Ulf Brefeld
Leuphana University Lüneburg

Dr. Aljoscha Burchardt
German Research Center for Artificial Intelligence (DFKI)

Dr. Carl-Helmut Coulon
INVITE GmbH

Prof. Dr. Wolfgang Ecker
Infineon Technologies AG

Dr. Tim Gutheit
Infineon Technologies AG

Dr. Johannes Hinckeldeyn
KION Group

Dr. Johannes Hoffart
SAP SE

Prof. Dr. Kristian Kersting
Technical University (TU) of Darmstadt

Prof. Dr. Stefan Kramer
Johannes Gutenberg University Mainz

Prof. Dr. Gitta Kutyniok
Ludwig-Maximilians-Universität München

Prof. Dr. Marius Lindauer
Leibniz University Hannover, L3S Research Center

Prof. Dr.-Ing. Alexander Löser
Berliner Hochschule für Technik

Prof. Dr. Volker Markl
Technische Universität Berlin

Prof. Dr. Katharina Morik
TU Dortmund University

Prof. Dr. Klaus-Robert Müller
Technische Universität Berlin

Dr. Michael Overdick
Sick AG

Prof. Dr. Wojciech Samek
Technische Universität Berlin, Heinrich Hertz Institute

Prof. Dr. Kai-Uwe Sattler
Ilmenau University of Technology

Philipp Schlunder
daibe UG

Dr. Jilles Vreeken
Helmholtz Center for Information Security (CISPA) / Max Planck Institute for Informatics

Prof. Dr.-Ing. Gerhard Weikum
Max Planck Institute for Informatics

Prof. Dr. Stefan Wrobel
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS

We have received written consent from the listed persons for the publication of their data in accordance with the DSGVO. This list of members is an excerpt and will be completed continuously.

Key Questions for the Working Group

What are the most important research areas for Artificial Intelligence, Machine Learning and Data Science? Which potential do they hold for disruptive applications?
What are the strengths and weaknesses within German AI-research?
How can we improve education for researchers and skilled employees for Machine Learning and Data Science?
Which research expertise is required for application?
How can we accelerate the transfer from successful research to application? Which factors could be obstructive?

Results and contributions of the Working Group

A comprehensive overview of all results and contributions of the working group available in German can be found here.

Publications
Expertise
Videos (German)