Priority Programmes

Priority Programmes (PP) bring transregional collaborations together and support research which promises to produce significant findings if funding is centrally coordinated. FAU is involved in a total of 50 of the DFG’s Priority Programmes.

Priority Programmes coordinated by FAU

• PP 2267 – The Digitalisation of Working Worlds. Conceptualising and Capturing a Systemic Transformation

Priority Programmes involving FAU

• PP 527 − International Ocean Discovery Program (IODP)
• PP 1006 − International Continental Drilling Program (ICDP)
• PP 1158 − Antarctic research with comparable investigations in Arctic sea ice areas
• SPP 1782:  Epithelial intercellular junctions as dynamic hubs to integrate forces, signals and cell behaviour
• PP 1796 − High frequency flexible bendable electronics for wireless communication systems
• PP 1798 − Compressed Sensing in der Informationsverarbeitung
• PP 1807 − Control of London dispersion interactions in molecular chemistry
• PP 1840 − Quantum dynamics in tailored intense fields (QUTIF)
• PP 1857 − Electromagnetic sensors for life sciences (ESSENCE)
• SPP 1859:  Experience and Expectation: Historical Foundations of Economic Behaviour
• PP 1886 – Polymorphic uncertainty modelling for the numerical design of structures
• PP 1889 − Regional sea level change and society (SeaLevel)
• PP 1897− Calm, smooth and smart – Novel approaches for influencing vibrations by means of deliberately introduced dissipation
• PP 1914 − Cyber-physical networking (CPN)
• PP 1921 – Intentional forgetting in organisations. Mechanisms of forgetting as ways of organisations adapting to an environment in which the amount of information is constantly increasing
• PP 1928 – Coordination networks: building blocks for functional systems
• PP 1929 − Giant interactions in Rydberg systems (GiRyd)
• PP 1934 – Dispersity, structure and phase changes of proteins and biological agglomerates in biotechnology processes
• SPP 1937:  Innate Lymphoid Cells
• PP 1980 − Nanoparticle synthesis in spray flames – SpraySyn: measurement, simulation, processes
• PP 1984 − Hybrid and multimodal energy systems: systems theory and methods for the transformation and cooperation of complex networks
• PP 1999 − Robust argumentation machines (RATIO)
• PP 2005 −  Opus Fluidum Futurum – Rheology of reactive, multiscale, multiphase construction materials
• PP2006 − Compositionally Complex Alloys – High Entropy Alloys (CCA – HEA)
• PP 2013 − Targeted utilisation of internal stresses caused by forming in metallic components
• SPP 2037 – Scalable data management for future hardware
• PP 2045 − Highly-specific multi-dimensional fractionation of technical fine particulate matter systems
• PP 2074 − Fluidless lubrication systems with high mechanical load
• PP 2080 – Catalysts and reactors under dynamic conditions for energy storage and conversion
• SPP 2084:  µBONE: Colonization and interaction of tumor cells within the bone microenvironment
• PP 2089 – Rhizosphere Spatiotemporal Organisation
• SPP 2100:  Soft Material Robotic Systems
• PP 2102 − Light-controlled reactivity of metal complexes
• PP 2111 − Electronic-photonic integrated systems for ultrafast signal processing
• SPP 2122 – “Materials for Additive Manufacturing”
• SPP 2127:  Gene and cell based therapies to counteract neuroretinal degeneration
• PP 2130 − Cultures of translation in early modern times
• SPP 2171:  Dynamic wetting of flexible, adaptive and switchable surfaces
• SPP 2172 – The Digital Image
• PP 2191:  Molecular mechanisms of functional phase separation
• PP 2206 – Cooperative Multistage Multistable Microactuator Systems
• PP 2236 − Audictive – Auditory Cognition in Interactive Virtual Environments
• PP 2238 – Dynamics of Ore Metals Enrichment – DOME
• PP 2262 − Memristive Bauelemente für intelligente technische Systeme
• PP 2265 – Random Geometric System
• SPP 2289 – Hetero-Aggregates: “Creation of Synergies in Tailor-made Mixtures of Heterogeneous Powders: Hetero Aggregations of Particulate Systems and Their Properties”
• SPP 2298 – Theoretische Grundlagen von Deep Learning
• SPP 2306 – Ferroptose: Von der Grundlagenforschung zur klinischen Anwendung