Opendata, web and dolomites


A Unified Framework for the Assessment and Application of Cognitive Models

Total Cost €


EC-Contrib. €






Project "UNIFY" data sheet

The following table provides information about the project.


Organization address
address: SPUI 21
postcode: 1012WX

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 2˙493˙318 €
 EC max contribution 2˙493˙318 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2022-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT VAN AMSTERDAM NL (AMSTERDAM) coordinator 2˙493˙318.00


 Project objective

Cognitive models formalize substantive theory about how people reason, learn, decide, and act. Cognitive models also serve as measurement tools that explain observed behavior in terms of constituent psychological processes. Because of their unique ability to estimate latent processes, cognitive models are increasingly applied throughout cognitive neuroscience and clinical psychology. Despite their theoretical appeal and growing popularity, however, the field of cognitive modeling presents an often bewildering proliferation of ideas and techniques. Current applications appear idiosyncratic, and the state-of-the-art remains unclear. This lack of systematicity makes it difficult for researchers and practitioners to develop, understand, and apply important cognitive models. This proposal outlines a unified program for the assessment and application of cognitive models. Based on the foundations of Bayesian inference, a Quantitative Development Team develops new generic methods to assess absolute and relative goodness-of-fit, explores efficient algorithms to estimate model parameters, and examines how the models can be applied to data from popular experimental designs. A Core Application Team focuses on three classes of cognitive models of particular impact: the drift decision models, the stop-signal race models, and the reinforcement learning models. These model classes are enriched by the construction of plausible parameter priors, the development of diagnostic experiments, the assessment of Bayes factors for hierarchical designs, and the model-averaged assessment of changes in parameters. The proposed work aims to set a new standard for cognitive modeling. Practical relevance is enhanced by incorporating the techniques in JASP, a user-friendly statistical software package developed in my lab ( By adding the new techniques to JASP, the cognitive models and associated new methodology become available for students, researchers, and practitioners.

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The information about "UNIFY" are provided by the European Opendata Portal: CORDIS opendata.

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