BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Registration is required\, visit RSVP link above for more even
 t information. This class explores search methods that strengthen the com
 prehensiveness\, rigor\, and reproducibility of systematic reviews and ot
 her evidence synthesis projects. Participants will learn when and how to 
 use general searching\, known-item searching\, grey literature searching\
 , handsearching\, forward citation searching\, and AI-assisted search too
 ls to locate evidence efficiently\, reduce publication bias\, and identif
 y difficult-to-find sources. Through demonstrations and practical example
 s\, attendees will evaluate the strengths and limitations of each approac
 h and develop practical strategies for conducting thorough searches in an
  evolving information landscape. Learning objectives: Differentiate among
  general searching\, known-item searching\, grey literature searching\, a
 nd AI-assisted searching. Apply handsearching\, forward citation searchin
 g\, and database search techniques to locate evidence efficiently. Evalua
 te and refine results from traditional search methods and AI tools to sup
 port research and practice.\n\nAdmission:\nFree\n\nDetails URL:\nhttps://
 medicine.yale.edu/event/finding-evidence-grey-literature-known-item-searc
 hing-and-ai-tools/\n
DTEND;TZID=America/New_York:20260923T114500
DTSTAMP:20260926T002900Z
DTSTART;TZID=America/New_York:20260923T110000
LOCATION:Registration is required\, visit RSVP link above for more event i
 nformation.\, URL: https://schedule.yale.edu/event/17458403
SEQUENCE:0
STATUS:Confirmed
SUMMARY: Finding Evidence: Grey Literature\, Known-Item Searching\, and AI
  Tools
UID:a9afcc21-2c74-404e-a42e-bf87fa6f040e
END:VEVENT
END:VCALENDAR