Welcome to the SmallData Github, where we showcase projects that have been made in our Collaborative Research Center (CRC). In SmallData, we address data analysis and modeling in small data settings, i.e., when there is only little information in a dataset at hand, due to a small number of observations that carry relevant information, relative to the complexity of novel patterns to be uncovered or the level of heterogeneity across observations.

We focus on

• Similarity for pulling in additional data of the same type (Project Area A),
• Transfer for transferring additional information to the dataset at hand, such as from data of different type (Project Area B),
• Uncertainty for quantifying and reducing uncertainty in particular in similarity and transfer (Project Area C).

This is enabled by a joint methods framework, with a focus on combining knowledge-driven and data-driven modeling. For more information, please visit our website. Subscribe to our event mailing list by following the instructions here.

This organization provides a comprehensive overview of all repositories established with funding from SmallData. For the most current iteration of the repository, kindly refer to the original source.