Abstract
Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. In this paper, we introduce a recently started collaborative project funded by the Carl Zeiss Foundation, a virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt.
Highlights
We provide an overview of a recently launched project, the digitization “Werkstatt*1,” which aims to contribute in two ways: On the one hand, pilot projects create the opportunity for scientific breakthroughs in three key areas: (1) Fundamentals of generic tools for machine learning, (2) Integration of domain knowledge in machine learning, the explanation of results, as well as the analysis of causality and (3) Semantic methods for data lifecycle support
In the face of a rapidly growing amount of data, the major dilemma is that a high curation level for all the data is not realistic and not cost-effective. In this Werkstatt, we aim to develop novel methods for determining the data value and integrate the methods for the control of curation processes into systems
The Michael Stifel Center Jena (MSCJ) consists of scientists from seven faculties and three non-university research institutes in Jena (Max Planck Institute for Biogeochemistry, Max Planck Institute for Human History, DLR Institute for Data Science)
Summary
The “Werkstatt” addresses the following three main research topics in computer science (T1-T3) as well as the application fields (T4): T1. Scientists are reluctant to provide the descriptions because this requires high effort and time One goal of this topic is to investigate how experiment data can be semi-automatically annotated with semantic metadata with the support of artificial intelligence. The MSCJ consists of scientists from seven faculties and three non-university research institutes in Jena (Max Planck Institute for Biogeochemistry, Max Planck Institute for Human History, DLR Institute for Data Science) This project aims to contribute to the strengthening of this structure through the development of the Werkstatt, which will facilitate cooperation both between different areas within computer science and specialist sciences, across organizations and across all career stages.
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