The Emerging Fields are devoted to pioneering interdisciplinary research in new fields including the social sciences and humanities. The following list displays the research projects presently running in the five Emerging Fields. Successfully completed projects can be found on the subsequent websites of the individual Emerging Fields.
Projects marked with an asterisk (*) are short-term one-year pilot projects.
Extracting Dynamical Laws from Complex Data (EF1)
Scientists in Charge: Klaus-Robert Müller, Sebastian Pokutta, Markus Reiß
Successfully completed projects of Emerging Field 1 can be found here.
Digital Shapes (EF2)
Scientists in Charge: Alexander Bobenko, Hans-Christian Hege
Successfully completed projects of Emerging Field 2 can be found here.
Model-Based Imaging (EF3)
Scientists in Charge: Michael Hintermüller, Vladimir Spokoiny, Gabriele Steidl
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- EF3-3: Optimal Transport for Imaging
Michael Hintermüller, Vladimir Spokoiny, Pavel Dvurechenskii
- EF3-6: Deformation Based Regularization of Inverse Problems on Manifolds
Gabriele Steidl
- EF3-7: Convolutional Proximal Neural Networks for Solving Inverse Problems
Gabriele Steidl, Andrea Walther
- EF3-8: Analysis of Brain Signals by Bayesian Optimal Transport
Pavel Dvurechenskii, Klaus-Robert Müller, Shinichi Nakajima, Vladimir Spokoiny
- EF3-10: True Excursion Discovery Inference for Imaging Data
Fabian Telschow
- EF3-11: Quantitative Tissue Pressure Imaging via PDE-Informed Assimilation of MR Data
Alfonso Caiazzo, Karsten Tabelow, Ingolf Sack
- EF3-12: Integrated Learning and Variational Methods for Quantitative Dynamic Imaging
Michael Hintermüller, Christoph Kolbitsch, Tobias Schäffter
Successfully completed projects of Emerging Field 3 can be found here.
Particles and Agents (EF4)
Scientists in Charge: Christian Bayer, Wolfgang König, Nicolas Perkowski
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- EF4-1: Influence of Mobility on Connectivity
Benedikt Jahnel, Wolfgang König
- EF4-5: An Agent-Based Understanding of Green Growth
Sarah Wolf
- EF4-6: Optimal Control of Stochastic Modifed Equations for the Efficient Parametrisation of Deep Neural Networks
Tobias Breiten, Carsten Hartmann
- EF4-7: The Impact of Dormancy on the Evolutionary, Ecological and Pathogenic Properties of Microbial Populations
Jochen Blath, Maite Wilke Berenguer
- EF4-8: Concentration Effects and Collective Variables in Agent-Based Systems
Jobst Heitzig, Péter Koltai, Nora Molkenthin, Stefanie Winkelmann
- EF4-10: Coherent Movements in Co-evolving Agent–Message Systems
Felix Höfling, Robert I.A. Patterson
- EF4-12: Agent-Based Models of SARS-CoV2 Transmission: Multilevel Identification and Network-Based Reduction
Nataša Djurdjevac Conrad, Martin Weiser, Sarah Wolf, Edda Klipp
- EF4-13: Modeling Infection Spreading and Counter-Measures in a Pandemic Situation Using Coupled Models
Tim Conrad, Kai Nagel, Christof Schütte
Successfully completed projects of Emerging Field 4 can be found here.
Concepts of Change in Historical Processes (EF5)
Scientists in Charge: Nataša Djurdjevac Conrad, Friederike Fless, Rupert Klein
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- EF5-1: Spreading of Copper Technology in Ancient Times
Nataša Djurdjevac Conrad, Christof Schütte, Wolfram Schier
- EF5-2: Data-Driven Modeling of the Romanization Process of Northern Africa
Friederike Fless, Benjamin Ducke, Nataša Djurdjevac Conrad, Christof Schütte
- EF5-3: A Mathematical Theory of Responsibility in Complex Multi-Agent Decision Problems with Uncertainties
Rupert Klein, Jobst Heitzig, Markus Brill
- EF5-4: The Evolution of Ancient Egyptian – Quantitative and Non-Quantitative Mathematical Linguistics
Tonio Sebastian Richter, Ralph Birk, Konstantin Fackeldey, Marcus Weber
- EF5-5: Spatio-Temporal Modeling of Bioregions
Heike Siebert, Nataša Djurdjevac Conrad, Sara Varela
- EF5-6: Evolution Models for Historical Networks
Benjamin Ducke, Max Klimm, Guillaume Sagnol