The final Systematic Review Conversations is Improving Our Support for Systematic Reviews at Leeds Beckett University
Rachel Davies, Academic Librarian at Leeds Beckett University will talk attendees through the response from Leeds Beckett to an increase in SR, the expansion of SRs into different subject areas and copyright issues with supplying articles for SR teams. In this session Rachel will also share materials from delivered training sessions, as well as links to useful content and resources.
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Presenter Joshua Cheyne, Academic Librarian for Business & Creative Industries at University of West Scotland shares his journey working as a Cochrane Information Specialist (CIS) and Editor with the Cochrane Stroke Group (CSG). This journey will talk through managing the review process, developing and peer-reviewing search methods, editorial duties and maintaining the Cochrane Stroke Group’s database of Research in Stroke (DORIS).
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The 3rd event in Lancaster University’s Systematic Review Conversations is AI – The Diamond in the Rough or the Monster in the Dark?
Presenter Hannah O’Keeffe (NIHR Innovation Observatory) working from a recent project, will discuss concerns around researchers generic use of AI. What are people worried about? How do we navigate the concerns? Is AI really the way forward or should we stick with traditional methods?
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Presented by Alison Bethel this SR Conversation looks at the benefit of reflecting on search methods during and at the end of an evidence synthesis project. Alison will share her experience with completing search summary tables and search evaluations and provide examples of when they have been used in evidence synthesis projects.
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Lancaster University presents its first Systematic Review Conversations of 2025 with Riding the Wave: Collaborating on Systematic Review Support in Healthcare and Beyond
Presented by Erin Bloxsidge, Kathryn Devine and Giada Zanella this conversation will focus on the Self-Taught SRs Community of Practice (CoP) addressing the gap in formal training for librarians involved in systematic reviews.
Delegates will learn how the CoP’s founders defined and promoted this new group. They will see how they use an online platform to welcome new members, encourage discussions, and keep conversations organised in themes. Examples of questions and answers will be highlighted. They will also learn how feedback is being sought and how the community is evolving.
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The last webinar in the series Artificial Intelligence (AI) methods in evidence synthesis will cover:
- Why do we all need to embrace responsible AI?
- What are the recommendations for responsible AI?
- What changes to Cochrane processes and governance will help authors and others use AI responsibly?
The session is presented by Dr. Anna Noel-Storr, Ella Flemyng and Prof. James Thomas and is aimed at evidence synthesists, methodologists, AI developers, or those from organisations, funders or publishers involved in evidence synthesis.
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In the 5th webinar in the series Artificial Intelligence (AI) methods in evidence synthesis series, Dr. Riaz Qureshi, Assistant Professor in the Department of Ophthalmology at University of Colorado Anschutz Medical Campus will give an overview of different ways that large language models can be used to help write systematic review protocols and manuscripts.
The session is aimed at anyone who is interested in conducting systematic reviews.
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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.
Presented 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.
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The forum is a unique day for people who specialise in information retrieval, systematic searching, knowledge or data mining, evidence synthesis, archiving and reference management. The day will consist of talks, workshops, networking, celebrating achievements & discussing latest innovations for information professionals.
This free in-person event is sponsored by the NIHR Methodology Incubator and NIHR Innovation Observatory and follows a team science ethos, welcoming information professionals from all disciplines to come together and share their knowledge.
Themes explored through a series of talks and workshops will include:
- Community: collaboration & networking
- Opportunities: training & development
- Research: share your methods and research
- Experience: career routes and progression
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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.
This webinar is aimed at anyone interested in screening studies.
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