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DTSTART;VALUE=DATE:20260122
SEQUENCE:0
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DTEND;VALUE=DATE:20260130
URL:https://uwaterloo.ca/future-cities-institute/events/ideathon-2026
SUMMARY:Ideathon 2026
CLASS:PUBLIC
DESCRIPTION:We’re excited to let you know that Ideathon is now open for W
 inter\n2026\, a fast-paced\, creativity-first challenge designed for stude
 nts\nwho love brainstorming\, problem-solving\, and building ideas that\nm
 atter. It’s an opportunity to work on a real urban challenge in\nWaterlo
 o Region.\n\nEARN A $325 HONORARIUM\, AS WELL AS A CERTIFICATE OF COMPLETI
 ON.\n\nThis Ideathon focuses on adaptive reuse\, where student teams will\
 nreimagine vacant commercial\, industrial\, and heritage spaces into\nsust
 ainable\, community-centred solutions.\n\nYou’ll collaborate with studen
 ts from different programs\, apply\ncreative and analytical thinking\, and
  explore how design\,\nsustainability\, and economic feasibility come toge
 ther in the real\nworld.\n\nThe Ideathon will run from January 22-29th\, 
 and has a time commitment\nof 16 hours. On the final day\, you will pitch
  your solution to a\npanel of judges. Mandatory sessions include the virt
 ual kickoff\, and\nthe final day of presentations. \n\nALL YEARS AND LEVE
 L OF STUDY ARE INVITED TO APPLY. \n\nAPPLY\nNOW: https://uwaterloo.ca1.q
 ualtrics.com/jfe/form/SV_26u6xf1UGUHmXhc \n\n_The Experience Ventures pro
 gram\, powered by the Hunter Hub for\nEntrepreneurial Thinking at the Univ
 ersity of Calgary\, empowers\ncollege and university students to make a me
 aningful impact alongside\nreal-world innovators._
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DTSTAMP:20260501T005643Z
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BEGIN:VEVENT
UID:69f3fa4bd496a
DTSTART;TZID=America/Toronto:20250422T091500
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20250422T101500
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 &amp; 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:20260501T005643Z
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BEGIN:VEVENT
UID:69f3fa4bd523f
DTSTART;TZID=America/Toronto:20250421T150000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20250421T160000
URL:https://uwaterloo.ca/future-cities-institute/events/ai-powered-solution
 s-bridging-urban-climate-policy-data-gaps
LOCATION:Balsillie School of International Affairs (67 Erb St. W\, Waterloo
 \, ON N2L 6C2). Canada
SUMMARY:AI-Powered Solutions for Bridging Urban Climate Policy Data Gaps
CLASS:PUBLIC
DESCRIPTION:ANGEL HSU\nMachine learning\, generative AI\, including Large L
 anguage Models\n(LLMs) hold immensepotential in addressing critical data a
 nd\ninformation gaps within city climate policy. Thesetechnologies enable\
 ncities to estimate greenhouse gas emission sources\, identify\nenvironmen
 talhotspots\, evaluate policy performance trends\, and\ncomprehend the div
 erse impacts of climatechange. This presentation\nwill showcase several ca
 se studies that illustrate how\nAI-drivenapproaches can innovate data coll
 ection\, analysis\, and policy\nformulation in the context of urbanclimate
  management\, including\nevaluating net-zero climate policy and strategy w
 ith LLMs andtopic\nmodeling\, distributional climate and environmental imp
 acts within\nurban areas\, theintegration of satellite remote sensing for\
 nparticipatory heat-stress mapping\, among otherexamples. It will also\ndi
 scuss some of the challenges and pitfalls of applying AI to urban\nclimate
 policy and management\, such as the \"black box\" AI problem and\nbiases o
 f underlying trainingdata.
DTSTAMP:20260501T005643Z
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BEGIN:VEVENT
UID:69f3fa4bd5ad7
DTSTART;TZID=America/Toronto:20250421T093000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20250421T103000
URL:https://uwaterloo.ca/future-cities-institute/events/challenges-related-
 city-climate-data-governance
LOCATION:Multi-Purpose Room\, at the Balsillie School of International Affa
 irs (67 Erb St. W\, Waterloo\, ON N2L 6C2). Canada
SUMMARY:The challenges related to city climate data governance
CLASS:PUBLIC
DESCRIPTION:Cities and the ecosystem of actors that support them face a ple
 thora\nof challenges related to climate data and action. Meanwhile\, recen
 t\nadvancements in geospatial technology and AIpresent both new\nchallenge
 s and opportunities. The diverse data challenges and variety\nofecosystem 
 actors that seek to support city climate action present an\noverarching 
 “orchestrationchallenge”\; connecting diverse\nperspectives and challe
 nges with on-the-ground climate actionrequires\na community of practice an
 d collaborative approach. This session will\nintroduce thechallenges of ci
 ty climate data governance\, as well as\nemerging challenges and opportuni
 tiesrelated to geospatial tools and\nAI. Next\, several practitioners will
  present about\non-the-groundchallenges they face related to city climate 
 data. The\nsession will conclude with an invitation fordiscussion of the d
 iverse\nperspectives on these challenges and opportunities and a call\nfor
 collaborative solutions.
DTSTAMP:20260501T005643Z
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