Causal Inference Interest Group
Causal Inference Interest Group (CIIG)
The Causal Inference Interest Group (CIIG) is a multi-disciplinary community with a shared interest in causal inference, spanning theory, methods and applications. We host monthly seminars featuring speakers with various academic backgrounds and research interests.
The interest group is led by Georgia Tomova (UCL Centre for Longitudinal Studies), Peter Tennant (University of Leeds), and Max Little (University of Birmingham).
Our online seminars are typically held once a month on a Monday at 3pm UK time (4pm Central Europe, 10am Eastern Time). Everyone is welcome to attend the seminars and participate in discussions, but please note registration is requried to receive the Zoom link.
Subscribe: Click here to join our mailing list. For any other queries, please contact g.tomova@ucl.ac.uk
Upcoming seminars
CLICK HERE TO REGISTER
Past seminars
| Date | Speaker | Topic | Recording |
|---|---|---|---|
| 20-Oct-25 | Julia Rohrer (Leipzig University) | Making Rigorous Causal Inference More Mainstream | Video |
| 30-Jun-25 | Martin Danka (University College London) | Inverse Probability Weighting of Count Exposures: A Simulation Study Motivated by Examining the Health Consequences of Psychological Distress | Video |
| 02-Jun-25 | Rachel Yorlets (Boston University) | Complexities and Advantages of Causal Methods for Social Questions: An applied target trial emulation study of migration and mortality in South Africa | Video |
| 12-May-25 | Michelle Kelly-Irving (Inserm - University of Toulouse) | Moving through the fog: considering causality in health inequalities research | Video |
| 07-Apr-25 | Margarita Moreno-Betancur (Murdoch Children’s Research Institute & University of Melbourne) | Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies | Video |
| 10-Mar-25 | Haidong Lu (Yale University) | Selection Bias: Where Are We Now? | Video |
| 17-Feb-25 | Jianqiao Mao (University of Birmingham) | A Brief Introduction to Mechanism Learning - Reverse Causal Inference in the Presence of Multiple Unknown Confounding through Front-Door Causal Bootstrapping | Video |
| 20-Jan-25 | Erik Igelström (University of Glasgow) | Defining income as a causal exposure | Video |
| 03-Jun-24 | Jessica Rohmann (Charité - Universitätsmedizin Berlin) | Publishing Causal Inference Methods in Applied Clinical Journals - Following the Yellow Brick Road | Video |
| 13-May-24 | Jing Mirah Zhang (University of Bristol) | Spatial causal inference with zero un-treated units | Not recorded |
| 08-Apr-24 | David Lagnado (University College London) | Causality in Mind: Learning, Reasoning, and Blaming | Video |
| 04-Mar-24 | Jose Pina-Sánchez (University of Leeds) | Modelling Unwarranted Disparities in Sentencing: Distinguishing between Good and Bad Controls | Video |
| 05-Feb-24 | Malcom Barrett (Stanford University) | Causal Diagrams in R with ggdag: New tools for better DAGs | Video |
| 08-Jan-24 | Camilla Pegram (Royal Veterinary College) | Causal Inference in Veterinary Epidemiology: Application of the Target Trial Emulation Framework to Veterinary EHRs | Video |
| 04-Dec-23 | Peter Tennant (University of Leeds) | Depicting deterministic variables within DAGs: An aid for identifying and interpreting causal effects involving derived variables and compositional data | Video |
| 06-Nov-23 | Ghadi al Hajj (University of Oslo) | DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modulated data simulation | Video |
| 10-Jul-23 | Sarah Wieten (Durham University) | Causal and Associational Language in Observational Health Research | Video |
| 29-Jun-23 | Dhurim Cakiqi (University of Birmingham) | A Category-Theoretic String Diagram Approach to Structural Causal Modelling and Inference | Video |
| 12-May-23 | Cecile de Bézenac (University of Leeds & The Alan Turing Institute) | Spatial Causal Inference and Neighbourhood Effects | Video |
| 26-Apr-23 | Marco Piccininni (Charité - Universitätsmedizin Berlin) | Should Cognitive Screening Tests be Corrected for Age and Education? Insights from a Causal Perspective | Not recorded |
| 17-Mar-23 | Santtu Tikka (University of Jyväskylä) | Causal effect identification from multiple incomplete data sources | Video |
| 27-Feb-23 | Anthony Webster (University of Oxford) | Causal attribution fractions, and the attribution of smoking and BMI to the landscape of disease incidence in UK Biobank | Video |
| 12-Dec-22 | Matej Zečević (TU Darmstadt) | Causal explanations of structural causal models | Slides |
| 28-Nov-22 | Max Little (MIT & University of Birmingham) | GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference | Slides |
| 28-Feb-22 | Kellyn Arnold (University of Leeds) | The effects of lockdown timing on COVID-19 cases across Europe: A counterfactual modelling study | Slides |
| 14-Feb-22 | Qingyuan Zhao (University of Cambridge) | Mendelian randomization: Old and new insights | Slides |
| 31-Jan-22 | Ciarán Gilligan-Lee (Spotify & University College London) | Learning problems from the Causal Hierarchy | Slides |
| 17-Jan-22 | Hana Chockler (CausaLens & King’s College London) | Actual causality, responsibility, explanations, and fairness - a bird’s eye view | Slides |
| 13-Dec-21 | Lewis Hammond (University of Oxford) | Reasoning About Causality in Games | Slides |
| 06-Dec-21 | Nicola Branchini (University of Edinburgh) | Causal Entropy Optimization | Not recorded |
| 29-Nov-21 | Silvia Chiappa & Alan Malek (DeepMind) | Selecting the Asymptotically Best Causal Effect Estimator with Multi-Armed Bandits | Not recorded |
| 15-Nov-21 | Virginia Aglietti (DeepMind) | Dynamic Causal Bayesian Optimization | Slides |
| 08-Nov-21 | Johannes Textor (Radboud University) | How to Test DAG Models | Slides |
| 25-Oct-21 | Jonathan Richens (DeepMind) | Counterfactual harm | Not recorded |
| 18-Oct-21 | Ricardo Silva (University College London) | A New Class of Algorithms for Bounding Causal Effects | Slides |