July 18, 2018
Prof. Dr. Michael Gebel gave a presentation on „Causal analysis using longitudinal data“ at the School of Big Data Management at Soochow University in Taipei. In his talk he outlined how longitudinal data facilitate the estimation of causal effects but he also emphasized the role of assumptions to be made and requirements in terms of data quality. After the methodological introduction he gave an applied research example on the estimation of causal effects using longitudinal data based on his current SECCOPA research. After the presentation there was a critical but fruitful discussion with scholars from big data research on the issue of causal inference and possibilities as well as limitations of combining approaches of causal inference and machine learning.
