Please meet our colleague and postdoctoral researcher Lianne Ippel, who joined IDS last April. She is project manager of the educational (sub) team at IDS. Furthermore, she coordinates the ‘pilots’ workgroup for the Community for Data-Driven Insights (CDDI). Lianne aims to build bridges between different research areas, such as machine learning and social sciences. Studying the fundaments of research methods makes her work applicable in very diverse fields of research. These fields include Sociology, Psychology and Educational research but these methods are also relevant for the health domain and computer sciences.
Lianne's recently accepted paper "Estimating Multilevel models on Data Streams" details a much more efficient fitting approach for statistical models to analyze data coming from repeatedly observed individuals. This paper will be published in Psychometrika at the start of 2019. Code to fit the model in a data stream can be found on Lianne’s github page github.com/L-Ippel/SEMA and the article will be publicly available early next year! Congratulations on behalf of the IDS team!