International Workshop on Psychometric Computing (Psychoco) 2024

On 29 February and 1 March 2024 Erasmus University Rotterdam will host the 2024 International Workshop on Psychometric Computing (Psychoco). The aim of this workshop is to bring together researchers from statistics, psychology, and related disciplines working on modern techniques for the analysis of data from psychology and the social sciences. 

Date
Thursday 29 Feb 2024, 09:00 - Friday 1 Mar 2024, 18:00
Type
Conference
Room
29 Feb: Sanders Building, room 0.03 | 1 March: Van der Goot Building, room M1-19
Building
Sanders Building
Location
Campus Woudestein
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Following the fruitful previous workshops, it will provide a platform for discussions about implementation and application of software on the interface of statistical inference, computational methods, and applied psychometrics.

A special emphasis is given to implementations in the R system for statistical computing. To create a diverse and inspiring program, both authors and users of psychometric software packages are encouraged to present their recent and ongoing work.

Tutorials on robust statistical and psychometric methods

In the morning of 29 February, there will be a number of hands-on tutorials on robust statistical and psychometric methods in R with a special emphasis on robust methods for discrete or ordinal (rating-scale) data. 

There is no additional registration for the tutorials, all participants of the workshop may attend the tutorials.

Registration

To participate in the workshop, simply send an email to info@psychoco.org (by 28 January 2024). In the spirit of open science and open source software, workshop participation is free of charge.

Organisation

Programme:            Carolin Strobl, Florian Wickelmaier, Achim Zeileis
Local organisation: Andreas Alfons, Kathrin Gruber 
Contact:                   info@psychoco.org

See also

Statistical Methods for High-dimensional Volatility

Mark Podolskij (University of Luxembourg)
Campus Woudestein, showcasing the flags of the School's and Institutes.

The Causal Interpretation of the AKM Estimand

Daniel Wilhelm (LMU Munich)

Testing for endogeneity of irregular sampling schemes

Giulia Livieri (LSE)
Image - Graph Statistics Stock

Causal Inference and Policy Evaluation

Keynote Speaker: Alberto Abadie
Image of campus Woudestein

Adapting smart waste collection systems through operational learning

Dilay Aktas Dejaegere (KU Leuven)

Uneven buffering of U.S. maize yields against extreme heat - a time-varying coefficient panel approach

Marina Friedrich (Vrije Universiteit Amsterdam)
View of a cornfield

Handling and Exploiting Symmetry in Benders Decomposition

Christopher Hojny (Eindhoven University of Technology)
Campus from above with Mandeville Building

FinEML Conference 2026

Financial Econometrics Meets Machine Learning
Image - University of Geneva
More information

For more information, please visit psychoco.org/2024

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