In the first session, Professor Dr. Donald B. Rubin from Harvard University gave a talk on “Multiple Imputation after 36+ Years”. He presented six major issues in recent research within the field of multiple imputation. He ended the first session by giving an outlook on topics for future research.

In the second session, recent work in the field of incomplete data techniques was presented covering social network analysis, Bayesian analysis of dynamic factor models, item response models, and incompatible Gibbs sampling, all dealing with problems of missing data.

The last presentation was a conceptual framework for panel data imputation methods. Susanne Rässler and Donald B. Rubin held a lively discussion with the approximately 40 participants about the different approaches presented dealing with missing survey data.