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CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-TIMEZONE:America/New_York
X-PUBLISHED-TTL:PT15M
BEGIN:VEVENT
DTSTART:20260324T150000Z
DTEND:20260324T160000Z
DTSTAMP:20260324T000000Z
SUMMARY:AI for Evidence Synthesis and Systematic Reviews
DESCRIPTION:Examine how AI can assist researchers in conducting systematic 
 reviews\, meta-analyses\, and other evidence-based research methods. This 
 session critically evaluates emerging AI review tools\, considering their 
 reliability\, transparency\, and ethical limitations. Participants will 
 identify key human-in-the-loop moments where expert judgment\, 
 verification\, and contextual understanding must guide the process to 
 ensure credible\, rigorous\, and reproducible synthesis outcomes. By Evan 
 Fruehauf and Carl DiNardo\, USF Libraries.\n\n \n\n
LOCATION:Online/Virtual
ORGANIZER;CN="Katrina Phillips":MAILTO:katrinaphillips@usf.edu
CATEGORIES:AI & Machine Learning, Graduate & Postdoctoral Success
CONTACT;CN="Katrina Phillips":MAILTO:katrinaphillips@usf.edu
STATUS:CONFIRMED
UID:LibCal-15981375
URL:https://calendar.lib.usf.edu/event/15981375
X-MICROSOFT-CDO-BUSYSTATUS:BUSY
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DESCRIPTION:Reminder
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