Dr. Ido Dagan| Philosophy of Religion | Best Researcher Award
Researcher & Lecturer ,University of Haifa, Iran
Antonella Vimercati is a distinguished professional in the field of Gynaecology and Obstetrics, currently affiliated with the II UO Ginecologia ed Ostetricia, Dipartimento Interdisciplinare di Medicina at the University of Bari and Policlinico in Bari, Italy. Born on April 7, 1965, in Bari, she has extensive experience and expertise, particularly in the medical and academic fields.
Her current research primarily focuses on reproductive health, with an emphasis on the intersection of obstetrics, gynaecology, and clinical medicine. She has made significant contributions to advancing clinical practices and improving patient care within her specialty.
Education:
Dr. Ido Dagan holds a Ph.D. in Jewish Philosophy from Bar-Ilan University (2022), where his dissertation titled Time of Belief explored the impact of Henri Louis Bergson’s concept of durée on Rabbi Abraham Joshua Heschel’s understanding of belief. He also earned an M.A. in Organizational Behavior from the Israeli branch of New York Polytechnic in 2008 and a B.A. in Behavioral Sciences from the Academic College of Tel Aviv-Yafo in 2004.
Professional Experience:
Dr. Dagan has an extensive background in both academia and media. In academia, he has served as a lecturer in Organizational Theory and Public Relations at Atid College Maalot (2023–2024), and currently, he is a Digital Marketing Lecturer Fellow at the University of Haifa’s School of Business Administration for the 2025 Trinity Semester. From 2008 to 2013, he lectured in marketing, service management, and organizational theory at Erez College and Jordan Valley College – Kinneret, School of Engineering. Parallel to his academic work, Dr. Dagan built a notable career in journalism, contributing to major Israeli media outlets such as Yedioth Ahronoth, Ynet.co.il, TimeOut Tel Aviv, Mako, nrg.co.il, Globes, and Ma’ariv. He held various roles from cultural critic to social correspondent and TV news reporter.
Skills and Expertise:
Dr. Dagan combines his expertise in Jewish philosophy with practical skills in digital communication, public relations, and marketing. His interdisciplinary approach integrates humanistic inquiry with organizational knowledge, allowing him to work effectively across academic, media, and public engagement platforms. He is fluent in Hebrew, English, and French, and is skilled in public speaking, academic writing, and multimedia storytelling.
Research Focus:
Dr. Dagan’s current research bridges Jewish philosophy and artificial intelligence, particularly examining cognitive parallels between religious belief and machine learning models. His recent publication, Trans-Belief: Developing Artificial Intelligence NLP Model Capable of Religious-Belief-like Cognitive Processes for Expected Enhanced Cognitive Ability (2024), reflects this innovative intersection. He continues to explore the philosophical implications of AI, with a strong focus on temporality, belief, and ethical cognition.
Awards and Recognitions:
Over the years, Dr. Dagan has been the recipient of multiple honors and fellowships. He received travel and research grants, including an invitation to the Jewish Studies Association (JSA) Conference in Boston (2022), doctoral scholarships from Bar-Ilan University (2020–2022), and study grants from the “Paris School” and “Shades of Thought” research groups. His early literary talent was recognized with a Writing Grant from the Tel Aviv Literature and Art Foundation in 1998.
conclusion:
Dr. Ido Dagan is a promising and innovative scholar, highly suitable for interdisciplinary or emerging thought leadership awards, especially those recognizing cross-domain breakthroughs (e.g., AI-humanities interface). While his contributions are unique and intellectually bold, a more extensive peer-reviewed research output would strengthen his case for traditional “Best Researcher” awards.
Publications:
1. The PASCAL Recognising Textual Entailment Challenge
Authors: Ido Dagan, Oren Glickman, Bernardo Magnini
Venue: Machine Learning Challenges Workshop
Year: 2005
Citations: 2803
2. Improving Distributional Similarity with Lessons Learned from Word Embeddings
Authors: Omer Levy, Yoav Goldberg, Ido Dagan
Venue: Transactions of the Association for Computational Linguistics
Year: 2015
Citations: 1875
3. Knowledge Discovery in Textual Databases (KDT)
Authors: Ronen Feldman, Ido Dagan
Venue: KDD ’95
Year: 1995
Citations: 1189
4. The Third PASCAL Recognizing Textual Entailment Challenge
Authors: Danilo Giampiccolo, Bernardo Magnini, Ido Dagan, William B. Dolan
Venue: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Year: 2007
Citations: 973
5. The Fifth PASCAL Recognizing Textual Entailment Challenge
Authors: Luisa Bentivogli, Peter Clark, Ido Dagan, Danilo Giampiccolo
Venue: TAC
Year: 2009
Citations: 918
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6. Committee-Based Sampling for Training Probabilistic Classifiers
Authors: Ido Dagan, Sean P. Engelson
Venue: Machine Learning Proceedings 1995
Year: 1995
Citations: 816
7. context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Authors: Oren Melamud, Jacob Goldberger, Ido Dagan
Venue: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
Year: 2016
Citations: 730
8. Similarity-Based Models of Word Cooccurrence Probabilities
Authors: Ido Dagan, Lillian Lee, Fernando C.N. Pereira
Venue: Machine Learning
Year: 1999
Citations: 607