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DTSTART;TZID=Europe/Dublin:20250311T150000
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UID:4410-1741705200-1741888800@hslg.ie
SUMMARY:Searching for Systematic Reviews: Advanced Design Methods
DESCRIPTION:The seminar will be delivered via Zoom from 3.00 – 6.00pm on March 11th & 13th. \nRun by Julie Glanville & Carol Lefebvre this 2 day ‘design’ course will provide opportunities to learn new techniques for search term identification and search structuring for a range of review types\, as well as an exploration of the benefits of text mining and AI tools for study identification. The importance of searching for retractions and errata will also be discussed. There will be time to discuss best approaches\, ask questions and to share insights. \nDay 1: Advanced design methods for PICO questions \nDay 2: Design methods for complex questions and searches \nTopics covered:\n·        Principles of search strategy design\n·        Converting PICO questions to a search strategy\n·        Using text mining to develop strategies\n·        Using AI tools to develop strategies\n·        Search strategies for complex topics\n·        Searching for hard to define topics\n·        Searching for reviews that are not structured as PICO\n·        Multi-stranded searches\n·        Citation analysis\n·        Combined search approaches\n·        Searching for retractions\, errata and comments \nAll videos and materials will be available to attendees for up to 30 days after the course. \nAn official Instats certificate of completion is provided at the conclusion of the training. \nFor more information: https://instats.org/seminar/searching-for-systematic-reviews-advanc4  \nIf you would like to attend this course and the course running on March 18-20th\, please use the link below to register for both simultaneously and benefit from a 10% discount. \nhttps://instats.org/structuredcourse/searching-for-systematic-reviews-where-2
URL:https://hslg.ie/event/searching-for-systematic-reviews-advanced-design-methods/
LOCATION:Online
CATEGORIES:Information needs and user services,Information resources management,Literacies and learning,Research and innovation
ATTACH;FMTTYPE=image/jpeg:https://hslg.ie/wp-content/uploads/2025/02/Instats.jpg
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DTSTART;TZID=Europe/Dublin:20250312T140000
DTEND;TZID=Europe/Dublin:20250312T150000
DTSTAMP:20241218T095522Z
CREATED:20241211T133358Z
LAST-MODIFIED:20241218T095522Z
UID:4204-1741788000-1741791600@hslg.ie
SUMMARY:Opportunities and challenges for data extraction with a large language model
DESCRIPTION:Prof. Gerard Gartlehner\, Co-Director\, Cochrane Austria & Co-Convenor\, Cochrane Rapid Review Methods Group presents the 3rd session in the Artificial Intelligence (AI) methods in evidence synthesis series. This session will look at the current research landscape concerning data extraction using Large Language Models (LLM). The session will also cover current methodological issues in assessing LLMs for tasks involving data extraction. \nThis session is aimed at anyone conducting evidence synthesis. \nRegister for this event here
URL:https://hslg.ie/event/opportunities-and-challenges-for-data-extraction-with-a-large-language-model/
LOCATION:Online
CATEGORIES:Artificial Intelligence (AI),Information resources management,Research and innovation
ATTACH;FMTTYPE=image/png:https://hslg.ie/wp-content/uploads/2023/12/Cochrane_live_image.png
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