Causal Inference Interest Group (CIIG)

UPDATE [01/03/2022]: The CIIG is currently planning new talks, and an email will be sent out in the next few weeks, when all the seminars have been booked in.

The CIIG hosts bi-monthly seminars which discuss recent advances in the field of causal inference, from both empirical and formal perspectives. Everyone with an interest in discussing causal inference is very welcome to come along and we particularly encourage PhD students and research associates.

Our presenters are drawn from both academia and industry. If you would like to present your research (or related causal inference material) at the CIIG, please contact the organisers.

For more information see the main ATI website.

Practical details

  • Where? Always online but sometimes also in-person at the Alan Turing Institute, London, UK (but will then be streamed as well).
  • When? Twice a month. Times and dates may vary. The most up-to-date schedule can be found below.
  • How to stay tuned? Please subscribe to the mailing list.
  • Do you have a calendar which I can subscribe to? You bet we do! Scroll to the bottom of this page.

Other causal inference seminar series

Program

DateSpeakerOrgTitleLocation
18/10/21Ricardo SilvaUCLA New Class of Algorithms for Bounding Causal Effects [Slides]Online
25/10/21Jonathan RichensDeepMindCounterfactual harmOnline
08/11/21Johannes TextorNijmegenHow to test DAG models [Slides]Online
15/11/21Virginia AgliettiDeepMindDynamic Causal Bayesian Optimization [Slides]Online/ATI
29/11/21Silvia Chiappa & Alan MalekDeepMindSelecting the Asymptotically Best Causal Effect Estimator with Multi-Armed BanditsOnline
06/12/21Nicola BranchiniEdinburghCausal Entropy OptimizationOnline
13/12/21Lewis HammondOxfordReasoning About Causality in Games [Slides]Online
17/01/22Hana ChocklerCausaLens/KingsActual causality, responsibility, explanations, and fairness – a bird’s eye view [Slides]Online
31/01/22Ciarán Gilligan-LeeSpotify/UCLLearning problems from The Causal Hierarchy [Slides]Online
14/02/22Qingyuan ZhaoCambridgeMendelian randomization: Old and new insights [Slides]Online
28/02/22Kellyn ArnoldLeedsThe effects of lockdown timing on COVID-19 cases across Europe: A counterfactual modelling study [Slides]Online

Calendar