BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NextToU//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:d19c0ab9-3743-43d3-b913-c3e8c6095925@nexttoyou
DTSTAMP:20261105T161320Z
DTSTART:20261110T203000Z
DTEND:20261110T213000Z
SUMMARY:AI Forum Series - Lacey Anderson
DESCRIPTION:GRO.UND Learning Gardens\n\nThe GRO.UND Learning Gardens at th
 e University of North Dakota are designed as place-based\, experiential l
 earning environments that connect students and community members to the n
 atural world through hands-on garden education\, fostering stewardship\, 
 sustainability\, and community engagement. As a graduate student working 
 within this space\, I played an active role in designing\, planning\, and
  caring for the garden alongside students and volunteers. This work inclu
 ded growing food\, developing garden-based curriculum\, and creating oppo
 rtunities for community engagement through events\, workshops\, and field
  trips that invited learners of all ages into the space.\n\nWithin this c
 ontext\, I conducted a research study exploring the question: To what ext
 ent can a novice gardener produce an effective harvest plan by relying on
 ly on AI’s predicted harvest-ready dates generated from historical crop a
 nd climate data for Grand Forks\, North Dakota when compared with observe
 d\, real-time harvest-ready dates from the garden? Using AI as a planning
  tool\, I generated projected harvest timelines based solely on regional 
 climate patterns and crop data\, then implemented and tracked those predi
 ctions across a full growing season. This work not only evaluated the acc
 uracy of AI-generated predictions but also served as a practical teaching
  tool\, allowing students to engage in real-time comparison between predi
 cted and observed outcomes.\n\nLacey Anderson holds a Master’s degree in 
 S\n\nhttp://next-to-u.app/events/d19c0ab9-3743-43d3-b913-c3e8c6095925
URL:http://next-to-u.app/events/d19c0ab9-3743-43d3-b913-c3e8c6095925
END:VEVENT
END:VCALENDAR