Causal Bandits Podcast From Quantum Physics to Causal AI at Spotify | Ciarán Gilligan-Lee S2E2 | CausalBanditsPodcast.com
Jan 29, 2025
Ciarán Gilligan-Lee, Head of the Causal Inference Research Lab at Spotify and an Honorary Associate Professor at UCL, delves into fascinating intersections of quantum physics and causal AI. He discusses how understanding causality can enhance business outcomes at Spotify while unraveling the complexities of causal inference versus correlation. Ciarán also shares insights from his innovative work combining causal methods with astrophysics, exploring galaxy evolution and environmental factors in star formation, all while reflecting on influential literature that shaped his journey.
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Synthetic Control's Strengths
- Synthetic control helps analyze interventions with precise timings, like new product features.
- It's useful when confounders are hard to identify, but similar, untreated units exist.
Synthetic Control and DAGs
- Combining synthetic control with DAGs allows for causal identification and sensitivity analysis.
- This approach uses non-parametric assumptions and proximal causal inference.
Building Trust in Causal Models
- Build trust in causal models by acknowledging assumptions and analyzing their potential violations.
- Use domain expertise and sensitivity analysis to bound uncertainty in causal effect estimates.
