Islam and Data Science Roundup

In “Assessing Copilot’s Semantic Depth in Classical Arabic: A Mixed-Methods Evaluation Using Alfiyah ibn Malik and Nadham Al-Imrithy” (Lisania: Journal of Arabic Education and Literature), Nely Rahmawati Zaimah (Sekolah Tinggi Agama Islam Al-Anwar Rembang) and others “evaluated how accurately [Microsoft] Copilot interpreted and understood the advanced Arabic prose from the intricate works of Alfiyah ibn… CONTINUE READING

Islam and Data Science Roundup

In “BERT-based Classical Arabic Poetry Authorship Attribution” (International Conference on Computational Linguistics), Lama Alqurashi (University of Leeds) and others introduce “a novel computational approach to authorship attribution (AA) in Arabic poetry…. Leveraging a vast dataset that includes the entire corpus of Classical Arabic poetry and advanced computational methods, this work employs BERT, a state-of-the-art transformer-based… CONTINUE READING

Islam and Data Science Roundup

In “Noor: A Pipeline Framework for Classical Arabic Parsing” (IEEE Access), Wadee A. Nashir (Digital Dhad) and others announce “the creation and public release of the Quranic Treebank—the first complete, validated, and fully machine-readable hybrid syntactic resource for [classical Arabic], reconstructed and augmented using the Noor framework.” In “Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question… CONTINUE READING

Islam and Data Science Roundup

In “Binary Logic as Legal Algorithm: Computational Evidence of Systematic Decision-Making in Ottoman Sheikh al-Islam Fatwas” (DiHA: Journal of Interdisciplinary Legal Studies), Ali Çetinkaya (Selçuk University) “establishes that nearly 87% of rulings follow binary prohibition/permission logic” and argues that “such systematic patterns, developed centuries before digital computing, suggest that algorithmic legal reasoning may represent an… CONTINUE READING

Islam and Data Science Roundup

In “Understanding the Integration of Deep Learning and Artificial Intelligence in Quranic Education and Research through Bibliometric Analysis” (Educational Process), Andri Nirwana An (Universitas Muhammadiyah Surakarta) and others present “methodological insights for researchers interested in integrating AI and DL in religious research.” In “Modernising the Arbitration Industry: The Potential of an AI-Arbitration Legal Framework in… CONTINUE READING

Islam and Data Science Roundup

In “A Decade of Digital Da’wah: Global Research Trends And Thematic Evolution (2013– 2025)” (El Harakah), Muhammad Choirin (Universitas Muhammadiyah Jakarta) and others employ “ tools such as Biblioshiny and the R programme to generate visual mappings of keyword co-occurrence, citation patterns, and thematic clusters [combined with] frameworks from Islamic communication theory and digital sociology,… CONTINUE READING

Islam and Data Science Roundup

In “The Integration of Artificial Intelligence in Hadith Scholarship: A Bibliometric Perspective on Emerging Research Directions” (Nukhbatul ‘Ulum), Azwar Azwar (Institut Agama Islam) and others “map the research landscape concerning the role of artificial intelligence (AI) in hadith studies.”

Islam and Data Science Roundup

In “Bibliometric Analysis: Trends and Patterns of Islamic Studies Theories and Methods in The Last Five Years” (Jurnal Cendekia), Agus Faisal Asyha (Universitas Islam Negeri Raden Intan Lampung) and others “analyze trends, citation patterns, and collaborations in research related to the theory and methods of Islamic Studies over the past five years.” In “Predicting Trends… CONTINUE READING

Islam and Data Science Roundup

In “Text Mining Tafsir: Compilation and Preliminary Explorations of a Curated Corpus of 80 Qurʾanic Commentaries” (Journal of Digital Islamicate Research), Thomas Jurczyk (Ruhr University Bochum) and others “demonstrate the potential of computer-driven analyses” with “a curated corpus of 80 Arabic tafsīr works.”

Islam and Data Science Roundup

In “Islamicate Knowledge in the Digital Age: AI, Computational Methods, and the Future of Scholarship” (Journal of Digital Islamicate Research),  Eid Mohamed (Qatar University) and Mai Zaki (American University of Sharjah) argue that “digital tools cannot be adopted uncritically. They must be situated within the ethical frameworks, knowledge systems, and interpretive practices that have long… CONTINUE READING