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DTSTAMP:20260731T133317Z
LOCATION:Bldg. 6 - 001 - Plenary Room
DTSTART;TZID=Europe/Stockholm:20260629T182000
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UID:submissions.pasc-conference.org_PASC26_sess123_key102@linklings.com
SUMMARY:Science, Society, and Computation: Building Trust Across Scales — 
 from Climate Models to LLMs
DESCRIPTION:Reto Knutti (ETH Zurich)\n\nWhen Nobel Prize winner Suki Manab
 e built his first climate model in the late sixties, he only had a few meg
 abytes of memory. He could not imagine the scale of computing and the magn
 itude of data we have today. Yet he gained crucial insight into how feedba
 cks in the atmosphere will affect the patterns of climate change we are ob
 serving today.<br>Science on weather and climate has come a long way since
  then. As we continue to push frontiers of modelling atmospheric processes
  in finer details and computing at higher resolutions, what will we learn 
 tomorrow? How much more do we need to know for informed decisions? How muc
 h are we willing to invest in new technology, and what are the benefits to
  us, and to the coming generations?<br>From a time when knowledge was a pr
 ivilege of a few, we have entered an era where information is over-abundan
 t. Machine Learning and Large Language Models (LLMs) are powerful technolo
 gies, but they also come with potential hazards. How do we separate true i
 nsight and understanding from noise? How do we ensure trust in models, pre
 dictions, science, and institutions? These are open questions for the unpr
 ecedented era we have entered. This lecture is aimed at the broad public a
 nd sketches how computing and data continue to transform the way we intera
 ct with science, models, and scenarios in an increasingly complex world.\n
 \nSession Chair: Dominik Obrist (University of Bern)\n\n
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