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SUMMARY:AIM for Sustainability
DTSTART:20260914T103000Z
DTEND:20260914T154500Z
DTSTAMP:20260721T180400Z
UID:indico-event-4364@indico.uni-muenster.de
DESCRIPTION:Speakers: Carolin Bohn\, Katrin Schmietendorf (Center for Data
  Science and Complexity)\n\nAIM for Sustainability\nArtificial intelligenc
 e is becoming an increasingly important tool for addressing sustainability
  challenges. From analyzing environmental systems and optimizing infrastru
 cture to monitoring and managing natural resources\, AI methods enable new
  ways of extracting knowledge from data\, improving predictions\, and supp
 orting informed decision-making.\nThe landscape of AI methods is as divers
 e as the sustainability challenges they address. Drawing from this wide ra
 nge of research opportunities\, the workshop’s Keynote Talks highlight t
 wo particularly promising areas: GeoAI and AI for sustainable energy syste
 m operation. The keynotes are complemented by Spotlight Talks showcasing c
 urrent research activities at the University of Münster and highlighting 
 opportunities for interdisciplinary exchange and future collaborations. Be
 yond that\, the workshop also provides space for critical reflection on th
 e role of AI in sustainability research by inviting discussion of dominant
  technological narratives.\nBringing together researchers from diverse dis
 ciplines\, the workshop is designed to spark new ideas\, encourage fresh p
 erspectives\, and strengthen AI for sustainability research at the Univers
 ity of Münster. We warmly invite all interested researchers\, including P
 hD candidates and postdoctoral researchers\, to join the event.\n# -------
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 -------\nThe workshop is co-organized by the Center for Data Science and C
 omplexity (CDSC) and the Center for Interdisciplinary Sustainability Resea
 rch (ZIN) as part of the CDSC’s initiative AIM for Science. \nAIM for Sc
 ience seeks to bring together AI expertise and research needs from across 
 the University of Münster by promoting collaboration between methodologic
 al and application-oriented disciplines and thereby creating new impulses 
 both for the advancement of AI and for its use in addressing scientific ch
 allenges. Through a growing network of researchers\, research groups\, ext
 ernal partners\, and stakeholders\, AIM for Science fosters an environment
  that lowers barriers to the adoption of AI methods\, strengthens interdis
 ciplinary exchange\, and creates new opportunities for collaboration withi
 n and beyond the University of Münster.\n\nhttps://indico.uni-muenster.de
 /event/4364/
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LOCATION:GEO 1 Building
URL:https://indico.uni-muenster.de/event/4364/
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