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UID:www.tcs.tifr.res.in/event/1750
DTSTAMP:20260716T092011Z
SUMMARY:Beyond Correlation: A Primer on Identification\, Confounding\, and 
 Generalizing Causal Claims
DESCRIPTION:Speaker: Spandan Poddar (TIFR)\n\nAbstract: \nIn an era of big 
 data\, the ability to distinguish between mere correlation and true causat
 ion is arguably the most critical skill for researchers and data scientist
 s. This talk attempts to provide a conceptual introduction to the modern f
 ramework of causal inference. We will explore how to move from “seeing
 ” to “doing” by using Directed Acyclic Graphs (DAGs) to model the ca
 usal structure of the world. We will learn how to identify causal effects\
 , apply the Backdoor Criterion to mitigate the biases of confounding\, and
  also address the challenge of “transportability”—taking findings fr
 om one context and applying them to another.\n \n
URL:https://www.tcs.tifr.res.in/web/events/1750
DTSTART;TZID=Asia/Kolkata:20260717T143000
DTEND;TZID=Asia/Kolkata:20260717T153000
LOCATION:A-201 (STCS Seminar Room)
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