Integrate psychology with informatics
This objective focuses on combining theoretical and experimental approaches from psychology and neuroscience with computational methods from machine learning and informatics. Concretely, this can involve developing and applying algorithms, classifiers, and representational models to extract meaningful patterns from behavioral and neural data, enabling more powerful hypothesis testing, prediction, and interpretation of cognitive processes.
Psychoinformatics
Promote open science through shared data and collaboration
Build tools for reproducible, shareable science
Integrate psychology with informatics
Probe brain function with naturalistic, high-dimensional studies
Self-hosted research IT infrastructure
Adina Wagner
Alex Waite
Ayan Sengupta
Benjamin Poldrack
Christian Häusler
Christian Mönch
Daniel Kottke
Emanuele Porcu
Falko Kaule
Jenna Swarthout Goddard
Laura Waite
Leonardo Muller-Rodriguez
Małgorzata Wierzba
Manuel Bayer
Michael Burgardt
Michael Hanke
Michael Notter
Michał Szczepanik
Moritz Boos
Odelfa Songong
Pierre Ibe
Richard Dinga
Stephan Heunis
Sven Buchholz
Tosca Heunis
Venkatesh Hariharapura Shivashankar
Vittorio Iacovella
Distribits
Accessing Behavior for Clinical Data and Joint Usage
DataLad
Organized Research Information: Ontology-mapping, Curation, Orchestration
Key Mechanisms of Motor Control in Health and Disease
Study Forrest
Data Management for Computational Modelling
Eye-movement during naturalistic stimulation
Promote open science through shared data and collaboration
Integrate psychology with informatics
Probe brain function with naturalistic, high-dimensional studies
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Adina Wagner
Daniel Kottke
Michael Hanke