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DTSTART:20250416T000000
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DTSTART:20251026T030000
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DTSTART:20260329T030000
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SUMMARY:On Interventional Generalisation - Andy Kitchen
DTSTART;TZID=Europe/Berlin:20260416T154500
DTEND;TZID=Europe/Berlin:20260416T161500
DTSTAMP:20260812T144312Z
UID:pretalx-pyconde-pydata-2026-BRRHGY@pretalx.com
DESCRIPTION:If I do X instead of Y\, will I get the outcome I want? What a
 bout in a new unseen situation? Making predictions alone is pointless\, on
 e wants to act in the world. Furthermore one must act in situations that a
 re similar but different to all past experience. The real underlying goal 
 of all decision making is really interventional generalisation: the abilit
 y to evaluate hypothetical choices in new unseen situations. Unfortunately
  data science and statistics has a inordinate focus on observation and sta
 tistical significance instead of intervention\, counter-factuals and gener
 alisation. Improve your modelling both practically and conceptually with t
 he mental tools presented in this talk.
LOCATION:Palladium [2nd Floor]
URL:https://pretalx.com/pyconde-pydata-2026/talk/BRRHGY/
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