This summer school will cover fundamental topics in econometrics and data science. The content ranges from predictive and causal methods for time-series analysis, to state-space methods and filtering techniques for high-dimensional datasets. Participants will learn how to design, test and...

Due to the Covid-19 outbreak this course is postponed to 2021. The importance of developing appropriate quantitative models and methods for risk-assessment, climate-impact scenarios, energy policy, house market prices, and big data analyses generally are well understood in the academic and...

Datafication has massively influenced processes within organizations, on markets, and more generally throughout society. Machine learning pushes the loop between data accumulation and innovation even further. Topics: - Which parts of the political opinion formation process and what types of...

The goal of the summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences. The course will be highly quantitative and interactive, covering topics such...

As in the UDMS tradition we will provide a forum in which representatives from local authorities, universities, research centers and professionals can join together to discuss new approaches, to consider new technologies, and to share practical experiences in the field of urban and regional data...