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On this page, you will find a selection of ongoing research projects led by members of the SoBe DSC community at FMG. These projects serve as examples of the diverse data science initiatives within our faculty.

Communication Science

metatargetr

The goal of metatargetr is to enhance transparency by making political ad targeting and spending data more accessible and structured for research. It is an R package designed to retrieve and parse information from the Meta and Google Ad Libraries that is not covered in their official APIs. It enables researchers to analyze political ad targeting strategies and access (historical) targeting and spending data.

Social Sciences

Mexca

Mexca is an open-source Python package which aims to capture human emotion expression features from videos. Next to extracting emotional features, mexca can also identify the speakers shown in the video by clustering speaker and face representations. This allows users to compare emotion expressions across speakers, time, and contexts.

Psychology

bgms

Multivariate analysis using graphical models has received much attention in the recent psychological and psychometric literature. Most of these graphical models are Markov Random Field (MRF) models, whose graph structure reflects the partial associations between variables. The R package bgms provides tools for Bayesian analysis of the ordinal Markov random field, a graphical model describing a network of binary and/or ordinal variables. Can be downloaded from cran. More details about the package can be found on the bgms Github page, and development versions can be downloaded from the Github repository.

Educational Sciences

semTools

The R-package semTools provides tools for structural equation modeling, many of which extend the popular 'lavaan' package. The goal of this package is to collect useful functions for structural equation modeling in a single, easily accessible place. For example, latent interactions can be estimated using product indicators (Lin et al., 2010) and simple effects probed; analytical power analyses can be conducted (Jak et al., 2021); and scale reliability can be estimated based on estimated factor-model parameters. Everyone is invited to send functions to the developers, and they will maintain the functions for you. The package is available from cran.