Published on April 16 2024

Announcing an international workshop on causal inference for time series data, organized by a member of IPLESP and others!

The workshop is scheduled for July 19th, 2024, in Barcelona, Spain, and features an call for papers that is now open and will close on May 19th, 2024.

Atelier sur l'inférence causale pour les données temporelles dans la 40e Conférence sur l'Incertitude en Intelligence Artificielle (UAI), 19 juillet 2024, Barcelone, Espagne.

Many important research questions, from diverse domains such as epidemiological studies andearth system involve cause-and-effect relationships in time evolving systems. Research on causal inference aspires to develop both theoretical foundations and practical methods that can combine domain knowledge and observational or experimental data to learn and quantify possible causal explanations of the data. Time-series data brings special opportunities as well as unique challenges for causal inference, and has been the subject of statistical study since the beginning of the 20th century. Recent work on causal inference has made advances on several fronts, including multiple data sets, non-stationarity, statistical tests, identifiability results, optimal causal effect estimation, and other topics.

This workshop aims to bring together leading researchers and new investigators on causal inference for time series as well as experts in dynamical systems.

The workshop welcome any contributions on ongoing research at the interface of causality and time series modeling, including but not limited to:
* Causal structure learning on time series data
* Causal effect estimation, from adjustment to do-calculus, on time series
* Counterfactual reasoning on time series
* Time series root cause analysis
* Causal representation learning for time series
* Causality for time series forecasting and sequential decision-making
* Causal modeling of time-scale or frequency-dependent relations
* Cycles, non-stationarity, sub-sampling, time aggregation, dating uncertainties

* Dealing with multiple (short) time series datasets
* Interventions for time-dependent causal models
* Relations to dynamical systems and their equilibria
* Benchmarks simulating real-world challenges
* Applications from different scientific domains (Epidemiology, Earth sciences, etc).

The workshop will take place on July 19th 2024 at Barcelona, Spain.
 

The workshop includes a call for papers that is now open and will be closed on May 19th 2024.
 

For more details, visit the workshop website