18/23 Juin 2026
OPEN SCIENCE & CAUSAL ANALYSIS
June 18-19 & 22-23, 2026
University of Lausanne
Amphipôle Building, Room 334
Open Science is a crucial part of contemporary scientific work, and in this interactive module (18 June 2026), we will demonstrate how to put Open Science principles into practice, to strengthen one’s research project, contribute to the betterment of science more broadly, and boost one’s skills as a life course research professional. Combining theoretical presentations and plenty of hands-on exercises, we will explore all the different aspects of Open Science, from planning a research project, through data management, publication, all the way to policy. At the end of the course, students will be able to preregister their studies, submit registered reports, make their own Data Management Plans, produce FAIR data, publish their datasets in open online repositories, publish Open Access, and have an overview of OS best practices.
In the second part of this module (19, 22-23 June 2026), you will be introduced to the counterfactual framework of causality and experiments (Day 1), difference-in-differences (Day 2), and the regression discontinuity design (Day 3). It has three aims:
- To introduce you to each method.
- To learn how to implement each method in R and/ or Stata and how to interpret its results for a research paper.
- To discuss how to justify and criticize the use of each method in the analysis of your own research and published journal articles of other researchers.
Although this module is part of the doctoral program, there are a few places available for LIVES researchers. If you are interested, please send an email to charikleia.lampraki@unige.ch by the 10th of June.