Program – 2025 IDSAI

Israel Data Science and AI Initiative 4th Annual Conference

January 6-7, 2025

Conference Program

Monday, 6 January 2025


10:00-11:00	Registration \| Welcome \| Coffee
11:00-11:20	Opening Remarks \| Prof. Paul Feigin (Shaked Hall)
	M1 A \| Special Session on Computational Oncology Chair: Ofir Cohen (Shaked Hall)	M1 B \| Special Session on NLP Chair: Ethan Fetaya (Etrog Hall)
11:20-11:45	Characterizing Tumor Fitness Constraints Through Gene Expression Program Dynamics \| Matan Hofree (HUJI)	Context Dependent: Multimodal Neural Architectures for Social Grounding of Language Models \| Oren Tsur (BGU)
11:45-12:10	Clinical Validation of ER, PR, and Her2 Status Prediction in Breast Cancer Using Deep Learning on H&E-stained Slides \| Gil Shamai (Technion)	Investigations in Computational Narrative Analysis \| Omri Abend (HUJI)
12:10-12:35	The Power of Many: Advancing Computational Oncology Through Large-Scale Single-Cell RNA Sequencing Analysis \| Dvir Aran (Technion)	Multilinguality in LLMs \| Reut Tsarfaty (BIU)
12:35-13:00	Multi-omics and EMRs in Cancer Analysis \| Ron Shamir (TAU)
13:00-13:45	Lunch
13:45-15:00	Distinguished Guests Panel \| Yoav Benjamini, Abba Krieger, Roni Rosenfeld, Ziv Katzir (Shaked Hall)
	M2 A \| Special Session on Computational Humanities Chair: Barak Sober (Shaked Hall)	M2 B \| Special Session on Recommender Systems Chair:Adir Solomon (Etrog Hall)
15:00-15:25	Decoding Ancient Anatomies: A Data Science Approach to Historical Medical Texts \| Shay Hermon & Gideon Manelis (HUJI)	Graph Meets LLM for Review Personalization Based on User Votes \| Bracha Shapira (BGU)
15:25-15:50	Opinion Dynamics Models and the Spiral of Silence \| Amir Leshem (BIU)	Explainable Surgical Procedures Recommender System Leveraging Large Language Models \| Adir Solomon (Haifa U.)
15:50-16:15	A Crisis in the Making: Mining Wikipedia Uncovers A Digital History of the Opioid Epidemic \| Rona Aviram (Weizmann)	Exploring the Potential of the Hypercube-Based Model in Content-Based Recommender Systems - An Experimental Evaluation \| Tsvi Kuflik (Haifa U.)
16:15-16:40	From Identity to Emotion: A New Model of Face Processing Using Deep Neural Networks \| Carmel Sofer (BGU)	Advancing Explainability in Recommender Systems: From Counterfactual Accuracy to Robust Evaluation \| Noam Koenigstein (TAU)
16:40-17:00	Coffee Break
	M3 A \| Contributed Papers-Social Sciences and Education \| Chair: Orit Hazzan (Shaked Hall)	M3 B \| Contributed Papers-Machine Learning Chair: David Azriel (Etrog Hall)
17:00-17:20	Refactoring CS Education in the GenAI Era \| Orit Hazzan (Technion)	Dynamic High-dimensional Timeline Analysis (DHTA) \| Osnat (Ossi) Mokryn (Haifa U.)
17:20-17:40	Applying Item Response Theory to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments \| Alona Strugatski Faktor (Weizmann)	Stein-type shrinkage for High-dimensional Regression Models \| David Azriel (Technion)
17:40-18:00	Effects of Survey Administration Format on Response Profiles are Predictable and Robust Across Countries: Evidence from 29 Countries Using Machine-Learning Models \| Allon Vishkin (Technion)
18:00-19:00	Flash Talks (Shaked Hall)
19:00-21:00	Reception and Poster Session

Tuesday, 7 January 2025


09:00-09:30	Registration \| Welcome \| Coffee
	T1 A \| Special Session on LLM in Biomedicine \| Chair:Nadav Rappaport (Shaked Hall)	T1 B \| Contributed Papers-Biology Apllications Chair: Isana Veksler-Lublinsky (Etrog Hall)
	09:30-09:55 Leveraging GenAI for Enhancing Research and Medical Decision-Making \| Guy Livne (Health Ministry)	09:30-09:50 Leveraging AI for Material Identification in Unauthorized Dumps for Circular Economy Applications \| Adi Mager (TAU)
	09:55-10:20 Exploring the Language of Microbial Genomes \| David (Dudu) Burstein (TAU)	09:50-10:10 Revisiting Earth's Seasonality Using Unsupervised Machine Learning Models\| Assaf Shmuel (Weizmann)
	10:20-10:45 Can LLMs Speak the Clinical Language - From Medical Codes to Complex Cases \| Oriel Perets (BGU)	10:10-10:30 STARdbi: An AI-Augmented Database of Sticky Trap Images Applications to Crop Protection, Public Health, and Biodiversity Conservation \| Chen Keasar (BGU)
	10:45-11:10 Literature-Based LLM Systems for Scientific and Clinical Discovery \| Tom Hope (HUJI)	10:30-10:50 Prediction and Classification of Fold-Switching Protein Families using Deep Learning \| Or Zuk (HUJI)
		10:50-11:10 Emergent Dominance Hierarchies in Reinforcement Learning Agents \| Ram Rachum (Tufts)
11:10-11:30	Coffee Break
11:30-12:30	K2 - Keynote Speaker \| Prof. Dan Roth \| Chair: Rotem Dror (Shaked Hall)
12:30-13:30	Lunch
	T2 A \| Contributed Papers-Causality / Generative / Recommender Chair: Omri Azencot (Shaked Hall)	T2 B \| Contributed Papers-LLMs: Methods and Applications Chair: Mark Last (Etrog Hall)
13:30-13:50	Representation Learning and Generative Modeling using Koopman-based Approaches \| Omri Azencot (BGU)	Embible: Reconstruction of Ancient Hebrew and Aramaic Texts using Transformers \| Mark Last (BGU)
13:50-14:10	Enhancing Consistency - Based Image Generation via Adversarially-Trained Classification and Energy - Based Discrimination \| Shelly Golan (Technion)	Hierarchical SMP-BERT for Efficient Structured Data Extraction from Free-Text Radiology Reports in Hebrew \| Zvi Natan Badash (Technion)
14:10-14:30	Transportability of Causal Effects under Network Interference \| Nir Aviv (TAU)	Towards Concept-Aware Large Language Models \| Chen Shani (Stanford)
14:30-14:50	Estimating Causal Effects Using Proxy Interference Networks \| Bar Weinstein (TAU)	Extinguishing the Fire of Misinformation: A Hybrid Human-AI Approach with Impactful, science-based Counter Narratives \| Ofer Weintraub (xpoz.ai)
14:50-15:10	A Rank-Based Approach to Recommender System's Top-K Queries with Uncertain Scores \| Coral Scharf (Technion)	LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations \| Hadas Orgad (Technion)
15:10-15:30	Coffee Break
	T3 A \| Contributed Papers-Health Applications Chair: Milana Frenkel-Morgenstern (Shaked Hall)	T3 B \| Contributed Papers-NLP: Methods and Applications Chair: Mor Peleg (Etrog Hall)
15:30-15:50	AI-Driven Analysis of Salivary Duct Arborization: A Novel Approach to Ductopenia Classification in Sialo-CBCT Images \| Talia Yeshua (Lev)	Finding Similarities Among Subject's Adaptive Immune Response \| Itai Danielli (Haifa U.)
15:50-16:10	Transforming Norm-based To Graph-based Spatial Representation for Spatio - Temporal Epidemiological Models \| Teddy Lazebnik (Ariel U.)	Converting Knowledge From Text to OPM Models Using Generative AI Prompts: The Neuro-Conceptual Approach \| Veronika Shteingardt (Technion)
16:10-16:30	Utilizing AI and Social Media Analytics to Discover Unreported Adverse Side Effects of GLP-1 Receptor Agonists Used for Obesity Treatment \| Alon Bartal (BIU)	Hebrew Textual Geolocation: Mapping Challenges and Opportunities \| Sagi Dalyot (Technion)
16:30-16:50	Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study \| Galit Almoznino (HUJI)	Generating Ontology-Learning Training-Data through Verbalization \| Mor Peleg (Haifa U.)
16:50-17:10	AI-Driven Drug Discovery in Glioblastoma \| Milana Frenkel-Morgenstern (Reichman)	Context-Aware Automated Quality Evaluation of Structured Health Records \| Irena Girshovitz (TAU)
17:10-17:20	Closing Remarks (Shaked Hall)

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10:00-11:00	Registration \| Welcome \| Coffee
11:00-11:20	Opening Remarks \| Prof. Paul Feigin (Shaked Hall)
	M1 A \| Special Session on Computational Oncology Chair: Ofir Cohen (Shaked Hall)	M1 B \| Special Session on NLP Chair: Ethan Fetaya (Etrog Hall)
11:20-11:45	Characterizing Tumor Fitness Constraints Through Gene Expression Program Dynamics \| Matan Hofree (HUJI)	Context Dependent: Multimodal Neural Architectures for Social Grounding of Language Models \| Oren Tsur (BGU)
11:45-12:10	Clinical Validation of ER, PR, and Her2 Status Prediction in Breast Cancer Using Deep Learning on H&E-stained Slides \| Gil Shamai (Technion)	Investigations in Computational Narrative Analysis \| Omri Abend (HUJI)
12:10-12:35	The Power of Many: Advancing Computational Oncology Through Large-Scale Single-Cell RNA Sequencing Analysis \| Dvir Aran (Technion)	Multilinguality in LLMs \| Reut Tsarfaty (BIU)
12:35-13:00	Multi-omics and EMRs in Cancer Analysis \| Ron Shamir (TAU)
13:00-13:45	Lunch
13:45-15:00	Distinguished Guests Panel \| Yoav Benjamini, Abba Krieger, Roni Rosenfeld, Ziv Katzir (Shaked Hall)
	M2 A \| Special Session on Computational Humanities Chair: Barak Sober (Shaked Hall)	M2 B \| Special Session on Recommender Systems Chair:Adir Solomon (Etrog Hall)
15:00-15:25	Decoding Ancient Anatomies: A Data Science Approach to Historical Medical Texts \| Shay Hermon & Gideon Manelis (HUJI)	Graph Meets LLM for Review Personalization Based on User Votes \| Bracha Shapira (BGU)
15:25-15:50	Opinion Dynamics Models and the Spiral of Silence \| Amir Leshem (BIU)	Explainable Surgical Procedures Recommender System Leveraging Large Language Models \| Adir Solomon (Haifa U.)
15:50-16:15	A Crisis in the Making: Mining Wikipedia Uncovers A Digital History of the Opioid Epidemic \| Rona Aviram (Weizmann)	Exploring the Potential of the Hypercube-Based Model in Content-Based Recommender Systems - An Experimental Evaluation \| Tsvi Kuflik (Haifa U.)
16:15-16:40	From Identity to Emotion: A New Model of Face Processing Using Deep Neural Networks \| Carmel Sofer (BGU)	Advancing Explainability in Recommender Systems: From Counterfactual Accuracy to Robust Evaluation \| Noam Koenigstein (TAU)
16:40-17:00	Coffee Break
	M3 A \| Contributed Papers-Social Sciences and Education \| Chair: Orit Hazzan (Shaked Hall)	M3 B \| Contributed Papers-Machine Learning Chair: David Azriel (Etrog Hall)
17:00-17:20	Refactoring CS Education in the GenAI Era \| Orit Hazzan (Technion)	Dynamic High-dimensional Timeline Analysis (DHTA) \| Osnat (Ossi) Mokryn (Haifa U.)
17:20-17:40	Applying Item Response Theory to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments \| Alona Strugatski Faktor (Weizmann)	Stein-type shrinkage for High-dimensional Regression Models \| David Azriel (Technion)
17:40-18:00	Effects of Survey Administration Format on Response Profiles are Predictable and Robust Across Countries: Evidence from 29 Countries Using Machine-Learning Models \| Allon Vishkin (Technion)
18:00-19:00	Flash Talks (Shaked Hall)
19:00-21:00	Reception and Poster Session

09:00-09:30	Registration \| Welcome \| Coffee
	T1 A \| Special Session on LLM in Biomedicine \| Chair:Nadav Rappaport (Shaked Hall)	T1 B \| Contributed Papers-Biology Apllications Chair: Isana Veksler-Lublinsky (Etrog Hall)
	09:30-09:55 Leveraging GenAI for Enhancing Research and Medical Decision-Making \| Guy Livne (Health Ministry)	09:30-09:50 Leveraging AI for Material Identification in Unauthorized Dumps for Circular Economy Applications \| Adi Mager (TAU)
	09:55-10:20 Exploring the Language of Microbial Genomes \| David (Dudu) Burstein (TAU)	09:50-10:10 Revisiting Earth's Seasonality Using Unsupervised Machine Learning Models\| Assaf Shmuel (Weizmann)
	10:20-10:45 Can LLMs Speak the Clinical Language - From Medical Codes to Complex Cases \| Oriel Perets (BGU)	10:10-10:30 STARdbi: An AI-Augmented Database of Sticky Trap Images Applications to Crop Protection, Public Health, and Biodiversity Conservation \| Chen Keasar (BGU)
	10:45-11:10 Literature-Based LLM Systems for Scientific and Clinical Discovery \| Tom Hope (HUJI)	10:30-10:50 Prediction and Classification of Fold-Switching Protein Families using Deep Learning \| Or Zuk (HUJI)
		10:50-11:10 Emergent Dominance Hierarchies in Reinforcement Learning Agents \| Ram Rachum (Tufts)
11:10-11:30	Coffee Break
11:30-12:30	K2 - Keynote Speaker \| Prof. Dan Roth \| Chair: Rotem Dror (Shaked Hall)
12:30-13:30	Lunch
	T2 A \| Contributed Papers-Causality / Generative / Recommender Chair: Omri Azencot (Shaked Hall)	T2 B \| Contributed Papers-LLMs: Methods and Applications Chair: Mark Last (Etrog Hall)
13:30-13:50	Representation Learning and Generative Modeling using Koopman-based Approaches \| Omri Azencot (BGU)	Embible: Reconstruction of Ancient Hebrew and Aramaic Texts using Transformers \| Mark Last (BGU)
13:50-14:10	Enhancing Consistency - Based Image Generation via Adversarially-Trained Classification and Energy - Based Discrimination \| Shelly Golan (Technion)	Hierarchical SMP-BERT for Efficient Structured Data Extraction from Free-Text Radiology Reports in Hebrew \| Zvi Natan Badash (Technion)
14:10-14:30	Transportability of Causal Effects under Network Interference \| Nir Aviv (TAU)	Towards Concept-Aware Large Language Models \| Chen Shani (Stanford)
14:30-14:50	Estimating Causal Effects Using Proxy Interference Networks \| Bar Weinstein (TAU)	Extinguishing the Fire of Misinformation: A Hybrid Human-AI Approach with Impactful, science-based Counter Narratives \| Ofer Weintraub (xpoz.ai)
14:50-15:10	A Rank-Based Approach to Recommender System's Top-K Queries with Uncertain Scores \| Coral Scharf (Technion)	LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations \| Hadas Orgad (Technion)
15:10-15:30	Coffee Break
	T3 A \| Contributed Papers-Health Applications Chair: Milana Frenkel-Morgenstern (Shaked Hall)	T3 B \| Contributed Papers-NLP: Methods and Applications Chair: Mor Peleg (Etrog Hall)
15:30-15:50	AI-Driven Analysis of Salivary Duct Arborization: A Novel Approach to Ductopenia Classification in Sialo-CBCT Images \| Talia Yeshua (Lev)	Finding Similarities Among Subject's Adaptive Immune Response \| Itai Danielli (Haifa U.)
15:50-16:10	Transforming Norm-based To Graph-based Spatial Representation for Spatio - Temporal Epidemiological Models \| Teddy Lazebnik (Ariel U.)	Converting Knowledge From Text to OPM Models Using Generative AI Prompts: The Neuro-Conceptual Approach \| Veronika Shteingardt (Technion)
16:10-16:30	Utilizing AI and Social Media Analytics to Discover Unreported Adverse Side Effects of GLP-1 Receptor Agonists Used for Obesity Treatment \| Alon Bartal (BIU)	Hebrew Textual Geolocation: Mapping Challenges and Opportunities \| Sagi Dalyot (Technion)
16:30-16:50	Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study \| Galit Almoznino (HUJI)	Generating Ontology-Learning Training-Data through Verbalization \| Mor Peleg (Haifa U.)
16:50-17:10	AI-Driven Drug Discovery in Glioblastoma \| Milana Frenkel-Morgenstern (Reichman)	Context-Aware Automated Quality Evaluation of Structured Health Records \| Irena Girshovitz (TAU)
17:10-17:20	Closing Remarks (Shaked Hall)