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Richard Mccreadie is a Senior Lecturer in the School of Computing Science at the University of Glasgow, UK, specializing in Information Retrieval and Data Systems. His core research topics include real-time information retrieval, machine learning, big data stream processing, and evaluation methodologies for streaming data. Richard focuses on the development of real-time information retrieval technologies that assist users in efficiently finding information from large data streams. He also works on automatic assistive agents that can detect events, extract knowledge, and summarize information within big data contexts. He completed his Ph.D. on the topic of News Vertical Search using User Generated Content in 2012 and is currently part of the Information, Data Analytics section of the Information Retrieval Group. Richard collaborates with researchers and industry partners globally to advance the field of Information Retrieval. He has co-chaired the Incident Streams initiative since 2018 and actively participates in the Text Retrieval Conference (TREC).