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.

Schedule

9:00Welcome
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 Teaching
Moderator: 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
15:20Break
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.