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SUMMARY:Online lecture 3: The creation of cause-of-death databases
DESCRIPTION:Lecturers: Prof. Angelique Janssens (Radboud University) and Prof. Isabelle Devos (University of Ghent) \nContent: Automated transcription of cause-of-death records can be impractical for many researchers due to unscanned or improperly formatted sources\, complex layouts\, and varied handwriting. This lecture demonstrates how we leveraged crowdsourcing to develop comprehensive cause-of-death databases for the cities of Antwerp and Amsterdam. \nObjectives: to highlight both the advantages and challenges of using crowdsourcing to compile cause-of-death databases. We present practical tactics and tools to maintain volunteer engagement and ensure their continued participation. \nRecommended reading: \nCornelis W. Van Galen (2019). Creating an audience: Experiences from the Surinamese slave registers crowdsourcing project\, Historical Methods: A Journal of Quantitative and Interdisciplinary History\, 178-194. https://doi.org/10.1080/01615440.2019.1590268 \nScivil Citizen Science (2019). Communication in Citizen Science A practical guide to communication and engagement in citizen science. https://www.scivil.be/sites/default/files/paragraph/files/2020-01/Scivil%20Communication%20Guide.pdf \nYou can find the presentation slides by Prof. Angélique Janssens and Prof. Isabelle Devos here. \nhttps://greatleap.eu/wp-content/uploads/2025/03/recording_angelique2.mp4
URL:https://greatleap.eu/event/online-lecture-3-the-creation-of-cause-of-death-databases/
LOCATION:Zoom
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SUMMARY:Lessons learned using a chatbot to assign ICD-10 codes to historical causes of death
DESCRIPTION:Lecturer: Prof. Lars Ailo Aslaksen Bongo\, UiT The Arctic University of Norway \nContent: I will present our lessons learned using the ChatGPT chatbot to assign International Classification of Diseases (ICD) codes to Norwegian historical causes of death. Our hypothesis is that we can use chatbots to interactively code historical data for a specific application. Compared to the huge effort required for coding everything once with low error rates\, this allows less effort and possibly more accurate coding. However\, naive use of chatbots is costly\, so a systematic approach is needed. Finally\, we propose a new specialization: AI curators for AI generated historical knowledge.   \nObjectives: The aim of the lecture is to learn about opportunities and pitfalls in using chatbots for interactive analysis of historical data. \nRecommended reading: It is recommended to test a chatbot before the lecture. \nYou can download the presentation by Prof. Lars Ailo Bongo here. \n\n		\n	\n	\n	\n	\n		Lars Ailo Bongo
URL:https://greatleap.eu/event/lessons-learned-using-a-chatbot-to-assign-icd-10-codes-to-historical-causes-of-death/
LOCATION:Zoom
CATEGORIES:GREATLEAP,WG4
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