Nachwuchsforschungsgruppen 2018-02-06T11:32:17+00:00


Zielsetzung des Programms zum Aufbau von ZD.B Nachwuchsforschungsgruppen (kurz: Nachwuchsgruppen) ist die Förderung des wissenschaftlichen Nachwuchses in für die Digitalisierung relevanten Themenfeldern. Herausragenden und ambitionierten Nachwuchswissenschaftlern wird durch die Förderung ermöglicht, eine unabhängige Forschungsgruppe zu einem innovativen Forschungsschwerpunkt mit hoher Anwendungsrelevanz aufzubauen und anzuleiten. Dies soll herausragenden Wissenschaftlerinnen und Wissenschaftlern nach ihrer Promotion die Möglichkeit bieten, für die Digitalisierung relevante Themen in der Forschung selbstständig und unabhängig voranzutreiben und in der Lehre zu vertreten.

Von der so zusätzlich entstehenden Forschungskompetenz profitieren sowohl die Wirtschaft, die Gesellschaft als auch die Studierenden an den jeweiligen aufnehmenden Hochschulen.

Es werden bis zu zehn wissenschaftliche Nachwuchsgruppen auf der Grundlage eines wettbewerblichen Auswahlverfahrens eingerichtet und über eine Laufzeit von fünf Jahren jeweils mit bis zu 250.000 Euro pro Jahr gefördert.

Die 10 ZD.B Nachwuchsforschungsgruppen werden aktuell eingerichtet.

Universität Passau

Dr. Daniel Schnurr
+49 8515 – 09 25 84

Projekttitel: Data neutrality & open access: coherent economic policies for the digital economy

The goal of the research project is to inform the quest for a new coherent economic policy framework for the digital economy by taking an interdisciplinary research approach between economics, information systems research and law. In particular, the project deals with the research question of how to design rules and institutions that govern the access to data and especially the access to personal data. As data gatekeepers in digital markets may exploit their dominant position and endanger consumers’ control over their own personal data, the research project investigates the economic impact of direct regulatory intervention policies in combination with policies directed to empower users. Next to industrial organization and game-theoretic models, alternative policy proposals are evaluated by a mixture of experimental and computational simulation research methods.

TU München

Dr. Matthias Uhl
+49 89  28 – 92 51 31

Projekttitel: Ethics of digitization

The research project aims at developing concrete policy suggestions on organizational and state level that help to deal with the numerous ethical challenges caused by digitization. The first research string is related to the question of how Human-Computer-Interactions should be designed in a world where numerous decisions with moral consequences are taken in digital environments. The second research string focuses on societal resistances against digitization that are often caused by prejudices against the use of computers in novel domains.

Universität Passau

Dr. Janet Siegmund
+49 851 509-3090

Projekttitel: PICCARD – Improving collaboration and communication of developers

Designing, implementing, and maintaining software is essentially a human and social activity, because humans need to coordinate (i.e., collaborate and communicate) during the entire software development process. What team structures are beneficial for successful coordination? How do individual factors influence the coordination and team structure? In PICCARD, we will find answers to such questions, which will help us to suggest optimal team structures based on individual factors and the nature of the software project (e.g., safety-critical software components in cars, mobile games), which eventually will pave the way to secure and reliable software.

LMU München

Dr. Christian Wachinger
+49 89 – 44 00 56 90 0

Projekttitel: Computational population modeling from big medical image data

The rapidly growing amount of digital data in medicine opens up new avenues for creating advanced patient models. Imaging data will play a key role in such models as it provides rich phenotypic information. In this multi-disciplinary project, we will develop novel algorithms for the automatic extraction of quantitative measures from images across the body and their association to disease. Such an advanced computational modeling has the potential to identify new biomarkers of disease and to assess the disease risk more accurately.

Universität Regensburg

Dr. Raphael Wimmer
+49 941 – 94 33 17 0

Projekttitel: Physical affordances for digital media and workflows

With his research project, we will explore, implement, and introduce new hardware and software technologies that serve as building blocks for physical-digital interaction with documents, media, and the internet of things. Instead of specific prototypical solutions, we will develop generic tools that researchers and end users can build upon. A major focus will be on workflows in public administration – an area with high demand for digitalisation but little supporting research.

HAW München

Prof. Dr. Florian Alt
+49 89 2180 – 4654

Projekttitel: Biometrics – Leveraging behavioral biometrics beyond security to both secure an personalise interactive ubiquitous computing devices

Biometrics++ strives to develop novel authentication mechanisms based on behavioral biometrics. The project is motivated by the fact that today we store sensitive data on more devices and access such data more often than ever before – everytime and everywhere. At the same time, most authentication mechanisms today require us to remember and explicitly enter passwords, hence not only creating a significant overhead during authentication but also forcing us to use more passwords than we can remember. The increasing number of sensors in our personal devices as well as in our environment allow us to address this challenge. By analyzing users’ behavior in detail, novel approaches to authentication become possible. At the focus of this project, we lay the conceptual as well technical foundations for novel schemes based on behavioral biometrics and investigate the users’ view on such schemes. In this way, we envision authentication schemes to not only become more secure and more usable but by leveraging interaction data, in particular during authentication, we are also able to enhance interfaces we use in our everyday life through adaptation to user and context.

Ehemalige Nachwuchsforschungsgruppenleiter

Univ.-Prof. Dr.-Ing. Alexander Popp

Universität der Bundeswehr München