Dear colleagues:
You are invited to DAS Webinar, which features Prof. Louis Anthony (Tony) Cox Jr. (University of Colorado Denver).
In recent years, disputed risk management and policy decisions in public health and other complex domains have highlighted the need for more reliable and transparent causal models. Traditional approaches to causal inference often rely on untestable modeling assumptions, which can undermine the credibility and robustness of the resulting models. This webinar will introduce an alternative, data-driven framework for causal modeling that emphasizes objectivity by focusing on empirically testable assumptions. We will explore how Causal Bayesian Networks (CBNs) and influence diagrams can in principle (i.e., if relevant data are collected) be learned and validated from observational data, without the need for speculative counterfactuals or subjective judgments. Using a principle of Invariant Causal Prediction (ICP) and advanced machine learning algorithms, this approach provides a more robust foundation for decision optimization, ensuring that the supporting causal models can be independently verified – and, if necessary, refined and corrected – based on statistical mismatches between predictions and observations. Practical applications of this objective causal modeling approach are illustrated with examples from health risk analysis and decision support. The webinar will also address practical challenges such as dealing with residual confounding, missing data, and measurement errors, offering strategies to improve the reliability and validity of causal inferences and models in complex decision-making.
This event will take place virtually on Thursday, September 26th, 10AM PT / 1PM ET / 7PM CET. Please find below the link to register your name and email address.
https://us06web.zoom.us/webinar/register/WN_i3CoXTzPQSC9kSn62u0nPw
After registering, you will receive a confirmation email containing a calendar link and the ZOOM link to join the meeting.
You can find more information about our webinar series in the link below and register there also.
https://connect.informs.org/das/events/webinars
We look forward to seeing you there!
Kind regards,
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Onesun Yoo
Professor
University College London
London
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