Reduction of COVID-19 incidence across Europe in the early spring months of 2021 led to substantial relaxation of restrictions in summer, despite the emergence and spread of the more transmissible SARS-CoV-2 delta variant. As expected, this …
How will the coronavirus disease 2019 (COVID-19) pandemic develop in the coming months and years? Based on an expert survey, we examine key aspects that are likely to influence the COVID-19 pandemic in Europe. The challenges and developments will …
SEMinR seeks to bring the latest state-of-the-art advances in SEM methods to the R ecosystem. This package also seeks to make describing and analyzing SEMs easier for practitioners.
Typically, a user-focused approach of evaluation of recommender systems requires the users to recollect their experiences, exposing study results to memory biases. In this paper, we describe a study conducted to test a framework, that allows …
The connections between the perception of trust, fairness, and regulatory needs regarding artificial intelligence have not been sufficiently investigated, yet. We address this research gap and analyze the role of trust, acceptance, and confidence in …
Several approaches to standardize the creation of agent-based models exist, but there is no perfect way to do it yet. In this study we analyze, whether two modelling languages (i* Star, UML) can help in designing agent-based models. We identified …
Agent-based modeling is a powerful technique that allows modeling social phenomena ab-initio or from first principles. In this paper, we review the history of agent-based models and their role in the social sciences. We review 62 papers and create a …
How will the coronavirus disease 2019 (COVID-19) pandemic develop in the coming months and years? Based on an expert survey, we examine key aspects that are likely to influence COVID-19 in Europe. The future challenges and developments will strongly …
Computational social science uses computational and statistical methods in order to evaluate social interaction. The public availability of data sets is thus a necessary precondition for reliable and replicable research. These data allow researchers …