APPLIED CAUSAL GRAPHS
Workshop 2025
| Date | Tuesday, March 4th 2025 |
| Times | 09:00-17:30 CET |
| Location | Charité Virchow Klinikum, 13353 Berlin |
| Organizers | Jessica Rohmann, Charité |
| Meghan Forrest, Charité | |
| Scientific Programme | Patrick Klösel, Potsdam Institute for Climate Impact Research |
| Will Lowe, Hertie School | |
| Silvana Tiedemann, Hertie School | |
| Support | Institute of Public Health, Charité Berlin |
| Volkswagen Foundation | |
| Applications | Applications are closed, but there's a wait list |
Concept
We all love causal graphs! After a successful first edition in 2024, we are back to celebrate our shared interest in causal graphs as researchers working in the Berlin and Brandenburg area across disciplines!
The focus of the workshop will be on how graphs can help us in applied research in the social sciences, climate science, health research and beyond.
- How can we transfer methods and solutions for specific problems from one discipline to another?
Schedule
| 9:00 | Welcome |
| Jess Rohmann (Charité), Meg Forrest (Charité) | |
| 9:10 | Keynote 1: Peter Tennant (University for
Leeds) Have DAGs fulfilled their promise in epidemiology and health research? |
| 10:00 | Coffee |
| 10:15 | Session 1: Applications in Health and TeachingModerator: Jess Rohmann (Charité) |
| Anna Humphreys (Karolinska): Treatment assignment in observational analyses – a practical application in the Swedish Primary Care Cardiovascular Database | |
| Marco Piccininni (Hasso Plattner Institute): Causal Inference in N-of-1 Trials | |
| Luca Bergen (BIPS Bremen): Causal Discovery methods for nonlinear mixed-type data: A simulation study | |
| Chisato Ito (Charité): Evaluating the Impact of Cannabis Legalization on Psychiatric Emergencies in Berlin | |
| Julia Rohrer (Uni Leipzig): Teaching research methods with causal graphs | |
| 11:55 | Roundtable networking session |
| 12:15 | Light lunch (on-site) |
| 13:00 | Keynote 2: Simone Maxand (Europa-Universität Viadrina):
Causal inference in multivariate time series with an application to climate economics |
| 13:50 | Break |
| 14:00 | Session 2: Applications in Climate, Environment
and Economics Moderator: Patrick Klösel (PIK) |
| Nikolai Jäger (PIK/TU Berlin): Role of Renewable Energies in Gas Price Pass-Through in Electricity Markets | |
| Oana Popescu (TU Berlin/TU Dresden): Constraint-based causal discovery in systems with endogenous context variables | |
| David Strahl (Uni Potsdam): Causal Discovery in Hydrology | |
| Alexandrine Lanson (TU Berlin): Causal Effect Estimation for Early Warning Signals in Tipping Systems | |
| 15:20 | Break |
| 15:30 | Keynote 3: Philipp Bach (University of Hamburg):
DAGs, Double Machine Learning and sensitivity analysis |
| 16:20 | Session 3: Applications in Psychology &
Meta-Research, New tools Moderator: Will Lowe (Hertie) |
| Moritz Ketzer (HU Berlin / MBIP): Integrating Multilevel Structural Equation Modeling with Graph-Based Causal Inference | |
| Taym Alsalti (Uni Leipzig): Deviant Responses in Survey Data: A Causal Perspective on Detection and Treatment | |
| Sofia Faltenbacher (TU Dresden): Introducing causy, a Python package for discovering and quantifying causal relationships in observed data | |
| 17:20 | Wrap Up and Short pitch 'Peerspectives train the trainer' |
| 17:30 | End |
| 18:00 | Walk to optional get-together |
Last year
Need more applied causal graphs? You can see last year's Applied Causal Graphs Workshop program here.