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X-WR-CALNAME:Yunus Emre Enstitüsü - London
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X-WR-CALDESC:Events for Yunus Emre Enstitüsü - London
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DTSTART:20250101T000000
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DTSTART;TZID=UTC:20250417T190000
DTEND;TZID=UTC:20250417T213000
DTSTAMP:20260516T182711
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LAST-MODIFIED:20250410T134341Z
UID:21099-1744916400-1744925400@yeelondon.org.uk
SUMMARY:Young Scholar Seminar Series: AI and Islamic Studies
DESCRIPTION:A Talk by Dr. Tuba Nur Saraçoğlu\, Mardin Artuklu University\, Currently Visitor Scholar at Aga Khan University – ISMC supported by TÜBİTAK. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nYunus Emre Enstitüsü – London is excited to present the 35th edition of its Young Scholar Seminar Series\, with the talk titled “AI and Islamic Studies\,” featuring Dr. Tuba Nur Saraçoğlu\, Assistant Professor of Islamic History at Mardin Artuklu University and a TÜBİTAK-funded Visiting Researcher at Aga Khan University – Institute for the Study of Muslim Civilisations (AKU-ISMC) in London. The talk will take place on Thursday\, April 17\, 2025\, at 7 pm UK time. \nDate: Thursday 17th April 2025\nTime: 7 pm\nVenue: Yunus Emre Enstitüsü – London\, 10 Maple Street\, London\, W1T 5HA \nAI and Islamic Studies \nIn this seminar\, Dr. Saraçoğlu will explore the intersection of artificial intelligence (AI) and Islamic studies\, focusing on how AI-based technologies\, such as large language models (LLMs) and natural language processing (NLP)\, are transforming research practices in the field. With the rise of digital methods in the social sciences\, AI is increasingly becoming a vital tool for textual analysis in Islamic studies. This talk will showcase selected digital projects\, illustrating the potential of AI technologies in the research of Islamic history\, particularly in understanding Islamic scholars’ biographies\, book history\, and knowledge transmission. \nDr. Saraçoğlu’s work lies at the crossroads of Islamic studies\, digital humanities\, and AI\, offering new avenues for exploring classical Islamic texts through innovative computational methods. \nKey Topics: \n\nThe impact of AI on textual analysis in Islamic studies\nCase studies of digital projects in the field\nAI-based tools for analysing Islamic sources\nThe role of digital humanities in transforming Islamic research\n\nDr. Tuba Nur Saraçoğlu is an Assistant Professor of Islamic History at Mardin Artuklu University and a TÜBİTAK-funded Visiting Researcher at the Aga Khan University – Institute for the Study of Muslim Civilisations (AKU-ISMC)\, in London. Her research interests include knowledge transmission\, book history\, and the biographies of Islamic scholars. Dr. Saraçoğlu is particularly engaged in the growing field of Islamicate Digital Humanities. \nShe has contributed significantly to the study of Ottoman book collections\, explored network analysis of classical sīra texts\, and organised training programs for Islamicate Digital Humanities. Currently\, she is conducting a comparative digital study of early sīra texts at AKU-ISMC with support from TÜBİTAK. \nAdmission is FREE but registration*** is ESSENTIAL via website. \n\n\n\n\nThis talk forms part of the Young Scholar Seminar Series organised by Yunus Emre Enstitüsü – London.\nIMPORTANT NOTES\nPlease note that this event is first come first served and may be overbooked. To avoid disappointment\, please arrive early and secure your seat. If you have registered but are unable to attend\, please cancel your ticket to allow others to join. Thank you for your cooperation. \nPlease be advised that filming and/or photography will be taking place at the event for the purposes of archiving\, marketing\, and all other publications. By entering this event\, you consent to Yunus Emre Enstitüsü taking photographs and videos and using them.
URL:https://yeelondon.org.uk/event/tubanursaracoglu/
LOCATION:Yunus Emre Enstitüsü – London\, 10 Maple Street\, London\, W1T 5HA\, United Kingdom
CATEGORIES:Future Events
ATTACH;FMTTYPE=image/jpeg:https://yeelondon.org.uk/wp-content/uploads/2025/04/Tuba-Nur-Saracoglu.jpg
ORGANIZER;CN="Yunus Emre Enstit%C3%BCs%C3%BC - London":MAILTO:londra@yee.org.tr
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