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UID:pretalx-sips2025-budapest-YCDDES@pretalx.com
DTSTART;TZID=CET:20250625T110000
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DESCRIPTION:To improve generalizability of our inferences from human subjec
 ts research\, we should randomly sample humans from all over the globe. Th
 is is a difficult thing to do\, and simple random sampling will never be p
 ossible. But there are other random sampling techniques we can explore to 
 increase coverage. We propose a random probability proportional to size sa
 mpling at the country level\, so more populous countries have more potenti
 al representation. With Big Team Science\, this starts to become possible.
  Mixing this sampling with non-response bias weighting (country-level) can
  help us see how indicators like GDP\, inequality indices\, and nation-lev
 el indicators can\, quantitatively\, inform gaps in our understanding. Onl
 y through the work of distributed networks of researchers can we start wor
 king towards randomly sampling the globe. This is only a first step\, and 
 future steps will improve on this system. Discussion and feasibility and a
 lternative ideas are welcome.
DTSTAMP:20260514T170653Z
LOCATION:Second floor 214
SUMMARY:UC3: How to Randomly Sample the Globe: A First Step. - Protzko
URL:https://pretalx.com/sips2025-budapest/talk/YCDDES/
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