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DTSTART:20250309T070000
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DTSTART;TZID=America/Toronto:20250422T091500
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/future-cities-institute/events/simulation-based-me
 thods-using-urban-climate-data-inform
LOCATION:Balsillie School of International Affairs (67 Erb St. W\, Waterloo
 \, ON N2L 6C2). Canada
SUMMARY:Simulation-based methods using urban climate data to inform policy
CLASS:PUBLIC
DESCRIPTION:DAWN PARKER & RODRIGO COSTA\nThis presentation focuses on metho
 ds to harness city climate data to\ndevelop policy solutions.\nWhile emerg
 ing AI methods are exciting\, often for policy analysis\, we\nneed to desi
 gn scenarios\nthat ask how specific policy levers might impact social\, ec
 onomic\, and\nclimate metrics in our\ncities. To conduct such analysis\, w
 e need models of how shifts in\npolicy levers change the\ndecisions of key
  actors\, and how these decisions interact to drive\noutcomes of interest.
  From a\nscience viewpoint\, these are often referred to as “process-bas
 ed\nmodels.” Such models can\ncomplement\, and build on\, pattern-based 
 AI and other statistical\nmodels. In this presentation\, we\nwill offer a 
 brief introduction to several process-based simulation\nmodels that can be
  applied to\nclimate challenges in cities: systems dynamics\, cellular aut
 omaton\,\nand agent-based models.
DTSTAMP:20260501T042933Z
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