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UID:pretalx-chla-absc-2026-VXWEYT@pretalx.com
DTSTART;TZID=EST:20260605T101000
DTEND;TZID=EST:20260605T101500
DESCRIPTION:Keeping current on emerging AI tools for evidence synthesis can
  be a challenge for librarians who support knowledge synthesis projects li
 ke systematic\, scoping\, and other types of reviews. These tools are rapi
 dly evolving and are increasingly being integrated into users' review proc
 esses. However\, many AI tools for evidence synthesis exist behind paywall
 s with limited free trials and opportunities for librarians to fully explo
 re all the features offered by the tool. This can greatly limit librarians
 ' knowledge about how they might be used by a research team conducting a k
 nowledge synthesis project. \n\nThis presentation is a case study that wil
 l showcase an approach that was employed by health sciences librarians at 
 the University of Alberta for exploring and learning about the AI tool\, E
 licit Systematic Review. The process used was an informal one but still pr
 ovided promising insights into the strengths and limitations of this AI to
 ol. Librarians were able to develop evidence-based recommendations to prov
 ide practical guidance to researchers who are using this tool.
DTSTAMP:20260506T124829Z
LOCATION:Borduas-Krieghoff2
SUMMARY:Keeping Current on AI Tools for Evidence Synthesis: An Example usin
 g Elicit Systematic Review - Megan Kennedy
URL:https://pretalx.com/chla-absc-2026/talk/VXWEYT/
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