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DTSTAMP:20260722T235903Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16731\nIn 2020, a mentor
 ing relationship with computer science high school students sparked a large
 r collaboration to strengthen data literacy and help shape a new data scien
 ce curriculum that remains in place today. This session shares a first-hand
  case study of how school-industry partnership, mentoring, and work-based l
 earning can do more than support students. It can advance governance maturi
 ty, create enterprise value, and prepare the next generation of data and AI
  practitioners before employment even begins.\n\nAt Inwood Early College fo
 r Health & Information Technologies, collaboration among educators, stu
 dents, families, post-secondary partners, and industry advisors helped conn
 ect classroom learning to real-world skills through data storytelling, mach
 ine learning exposure, internships, and ongoing pathway design. Attendees w
 ill leave with a practical framework for using work-based learning as a gov
 ernance strategy: one that builds data literacy, supports equitable access 
 to opportunity, and helps organizations invest upstream in trustworthy, fut
 ure-ready talent pipelines\n
DTSTART:20261118T143000
SUMMARY:Governance Begins Before Employment: Building Maturity and Value Th
 rough Work-Based Learning
DTEND:20261118T151459
LOCATION: See Description
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