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X-WR-CALNAME:Health Sciences Libraries Group
X-ORIGINAL-URL:https://hslg.ie
X-WR-CALDESC:Events for Health Sciences Libraries Group
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DTSTART;VALUE=DATE:20250410
DTEND;VALUE=DATE:20250412
DTSTAMP:20260421T163004
CREATED:20250318T102508Z
LAST-MODIFIED:20250318T102737Z
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SUMMARY:LAI/CILIP Ireland Joint Conference
DESCRIPTION:The Library Association of Ireland and CILIP Ireland are hosting their joint conference in the Kingsley Hotel Cork on 10-11 April 2025 \nThe conference theme is “Shining Lights”. \nKeynote Speaker: Aphra Kerr\, Professor of Digital Media & Communications\, UCD \nRegistration for this event is through Eventbrite. \nLAI/CILIP Ireland Member Full Delegate Rate €350 \nLAI/CILIP Ireland Member Day Delegate Rate €100
URL:https://hslg.ie/event/lai-cilip-ireland-joint-conference/
LOCATION:The Kingsley Hotel\, Cork\, Carrigrohane Road\, Cork\, T12 P680\, Ireland
CATEGORIES:Artificial Intelligence (AI),digital creativity,Information and communication technologies,Information needs and user services,Information resources management,Research and innovation
ATTACH;FMTTYPE=image/png:https://hslg.ie/wp-content/uploads/2023/12/LAI_CILIP_Ireland_logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Dublin:20250409T100000
DTEND;TZID=Europe/Dublin:20250409T110000
DTSTAMP:20260421T163004
CREATED:20241217T154757Z
LAST-MODIFIED:20241217T154923Z
UID:4232-1744192800-1744196400@hslg.ie
SUMMARY:(How well) can large language models and AI-based automation tools assist in Risk of Bias Assessment?
DESCRIPTION:This 4th webinar in the series Artificial Intelligence (AI) methods in evidence synthesis will give insight into how AI can support the process of assessing the risk of bias of studies included in systematic reviews. \nPresented by Dr. Angelika Eisele-Metzger\, a researcher at the Institute for Evidence in Medicine and Cochrane Germany\, this session is aimed at people who have experience in systematic review production\, but is also open to anyone with a general interest in the topic. \nRegister here for this webinar.
URL:https://hslg.ie/event/how-well-can-large-language-models-and-ai-based-automation-tools-assist-in-risk-of-bias-assessment/
LOCATION:Online
CATEGORIES:Artificial Intelligence (AI),Research and innovation
ATTACH;FMTTYPE=image/png:https://hslg.ie/wp-content/uploads/2023/12/Cochrane_live_image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Dublin:20250312T140000
DTEND;TZID=Europe/Dublin:20250312T150000
DTSTAMP:20260421T163004
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Dublin:20250225T060000
DTEND;TZID=Europe/Dublin:20250225T133000
DTSTAMP:20260421T163004
CREATED:20241217T163155Z
LAST-MODIFIED:20241218T095254Z
UID:4250-1740463200-1740490200@hslg.ie
SUMMARY:Health Sciences Library Symposium - 4th Edition
DESCRIPTION:Navigating Health Information: Adapting to a Rapidly Changing Ecosystem \nThe Health Sciences Library Symposium – 4th Edition explores today’s challenges with insights from expert practitioners from Qatar\, the wider Middle East\, and around the globe fostering diverse perspectives. Participants will present and discuss strategies to enhance teaching methods\, consider new or expanded methods for evidence generation and synthesis\, explore opportunities to support health literacy development\, and enhance our communication for more impactful science and health communication. \nWho Should Attend? – We welcome participation from health sciences librarians\, health or science communicators\, public health professionals\, medical educators\, and anyone else with an interest in health information. \nWhy? – The Health Sciences Library Symposium – 4th Edition is an inclusive platform for everyone invested in promoting a dynamic and healthy information environment. \nExplore evolving roles in scholarly communication and health literacy.\nDiscover opportunities for further research.\nShare new and creative ways of teaching. \nView the full event schedule here \nRegister to attend here
URL:https://hslg.ie/event/navigating-health-information-adapting-to-a-rapidly-changing-ecosystem/
LOCATION:Online
CATEGORIES:Artificial Intelligence (AI),Information and communication technologies,Information needs and user services,Information resources management,Literacies and learning,Research and innovation
ATTACH;FMTTYPE=image/png:https://hslg.ie/wp-content/uploads/2024/12/Weill-Cornell-Medicine-Qatar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Dublin:20250213T100000
DTEND;TZID=Europe/Dublin:20250213T110000
DTSTAMP:20260421T163004
CREATED:20241211T120401Z
LAST-MODIFIED:20241217T155911Z
UID:4197-1739440800-1739444400@hslg.ie
SUMMARY:Could large language models and/or AI-based automation tools assist the screening process?
DESCRIPTION:In the second session of the series Artificial Intelligence (AI) methods in evidence synthesis Dr. Siw Waffenschmidt will discuss the background and literature on different Machine Learning (ML) approaches versus Large Language Model (LLM) approaches in screening. \nThis webinar is aimed at anyone interested in screening studies. \nRegister here for this event.
URL:https://hslg.ie/event/could-large-language-models-and-or-ai-based-automation-tools-assist-the-screening-process/
LOCATION:Online
CATEGORIES:Artificial Intelligence (AI),Information in society and health care,Research and innovation
ATTACH;FMTTYPE=image/png:https://hslg.ie/wp-content/uploads/2023/12/Cochrane_live_image.png
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