David is founder and director of the Social Intelligence Lab.  Professor of information systems, and former vice-chairman, at the Business School of Bar-Ilan University, Israel, he has published over 180 research papers, books, chapters, and editorials in the field of information systems and technologies and is recipient of multiple NIH and Ministry of Science grants in Israel and abroad.  David has held visiting professor posts at Columbia University, USA; Monash University, Australia; National Tsing Hua University, Taiwan; Renmin University, China; Victoria University, Australia and Erskine Fellow at the University of Canterbury, New Zealand. Former editor of Internet Research (1998-2011).

Michael's research focuses on mHealth and digital health, the application of advanced quantitative methods in studying community first responders (CFRs), and the epidemiology of injuries. Dr. Khalemsky played an important role in the NIH-funded UnityPhilly pilot study supporting smartphone-based layperson reversal of opioid overdoses. He currently serves as a co-investigator on the ongoing NIH-funded UnityPhilly R01 study (2023–2028). The project aims to enhance layperson response to opioid overdose events in the city, with the broader goal of reducing overdose mortality. Michael holds a BA and MBA from The Hebrew University of Jerusalem and a PhD from Bar-Ilan University, Israel.

Alon specializes in AI, machine learning, and graph-based modeling, with a focus on healthcare and digital behavior. He heads the Information Systems Program at Bar-Ilan University's School of Business Administration. His research centers on analyzing complex, dynamic networks, both biological and social, using tools from computational biology, Natural Language Processing (NLP), graph theory, and Machine Learning (ML). He applies these methods to a wide range of problems, including gene-disease associations, social interaction patterns, and the dynamics of information and influence in networks.

Dov is Professor Emeritus at Tel-Aviv University, School of Management, and a visiting professor at Bar-Ilan University, Middle-East Studies. He currently teaches AI in intelligence analysis. Dov has studied how computers support people at work, with an emphasis on people making decisions, communicating, and sharing knowledge. Integrative papers on this work appear in Organization Science (supporting distributed cognition) and MIS Quarterly (supporting communication), for which he won ‘best paper’ award. Dov currently studies human-AI interaction and the implementation of generative AI. For the past five years, he has been developing applications of Reciprocal Human-Machine Learning.

Inbal  has a Bachelor in Computer Science and a Master in Information Systems from the Israel Institute of Technology (Technion). She received her Ph.D. in Optimization and Data Mining from the University of Maryland in 2010, where she continued to work as a visiting faculty member for two years. Dr. Yahav joined The Coller School of Management in 2019 as a (tenured) senior lecturer, after eight years working at Bar Ilan University. Most of her work focuses on the development and adaptation of statistical models for use by researchers in the information systems. In her research, Inbal incorporates data mining algorithms, natural language processing, and optimization to produce complex models

Onn is a Professor of Information Systems and Director of the Data Science and AI Institute at Bar-Ilan University. He earned his Ph.D. in Computer Science from Bar-Ilan in 1996, following degrees in physics and computer science. He held research positions at Carnegie Mellon University and IBM Research, and has taught at several universities including Carnegie Mellon, Paris Cité, the Technion, and Bar-Ilan. His research focuses on AI applications, multi-agent systems, coalition formation, and software engineering. He has authored over 130 publications, edited 18 books, and filed more than 25 patents. 

Roni is a lecturer at the Bar-Ilan University Business School, holding a Ph.D. and MBA from the Information Systems program at the Graduate School of Business Administration, Bar-Ilan University, and a B.Sc. in Information Systems from the Technion-Israel Institute of Technology.
Her primary research focuses on developing innovative methodologies to enhance the design, functionality, and quality of organizational  nformation systems. Her work spans diverse fields, including healthcare, organizational studies, and data science, with a strong emphasis on applying machine learning to enhance clinical outcomes, informed decision-making, and healthcare delivery. 

Yossi Mann served as the Head of the Department of Middle Eastern Studies at Bar-Ilan University and Reichman University, where he is currently a senior researcher and lecturer at both institutions. He was a research fellow in Oxford University, Gdansk University- Poland and Renmin University in China. His research focuses on the study of society and economy in Saudi Arabia and the oil-rich states of the Arabian  Gulf. Additionally, he leads several grants from the Israel Innovation Authority and the Israeli Ministry of Science on the application of AI to understand the realities of the Middle East. 

Sivan is Deputy Director of The Russell Berrie Galilee Diabetes SPHERE, Principal Investigator of HEAL- Health Equity Advancement Lab, and Head of Population Health Education at the Azrieli Faculty of Medicine, Bar Ilan University. Sivan’s interests lie in the study of health inequities, and specifically, in identifying, designing, and evaluating organizational
strategies aimed at reducing health care inequities through the prism of implementation science. Sivan conceived and designed SPHERE, a ten-year 75 million Dollar initiative, aimed at reducing cardio-metabolic inequities in Israel’s social-geographic periphery. Sivan is also a member of CAREPATH, a 22 million Euro EU-IHI initiative.

Sreejith is a PhD candidate at the Graduate School of Business, BIU. His research on “A Cultural Framework for Volunteer First Responder Systems,” examines how cultural dimensions - such as power distance, uncertainty avoidance, and time orientation - influence responder engagement across different cultural contexts. The outcomes of his research will directly inform and extend the cultural insights gained from the NIH-sponsored UnityPhilly study. In particular, his findings will support a deeper understanding of cultural influences on opioid overdose emergency response, contributing to the design of the app and the implementation of an effective, culturally responsive operational model

Cherry is a PhD candidate at the Graduate School of Business, BIU. Her research centers on the intersection of healthcare data analytics and network science, focusing on the diffusion of mobile health (mHealth) innovations. Her current study leverages Social Network Analysis (SNA) to model how mHealth applications spread within healthcare networks, identifying influential actors and structural pathways that facilitate or inhibit the diffusion process. Her work integrates machine-learning simulation, stakeholder mapping, and the analysis of relational and behavioral health data to inform practical and actionable dissemination strategies that enhance the reach and adoption of digital health.

Daniel is a PhD candidate in Management at Bar Ilan University, researching human-AI collaboration in cybersecurity.  As Head of Technology and Policy at the Abba Eban Institute at Reichman University and Senior Researcher at Tel Aviv University's Cyber Research Center, he leads data-driven research in cyber AI, cyber threat intelligence, and social media analysis. His recent work on "Human-AI Enhancement of Cyber Threat Intelligence" demonstrates how reciprocal human-machine learning improves cyber threat detection. Daniel has extensive experience consulting for government agencies, including the UN Office of Counter-Terrorism, bridging academic research with applied cybersecurity.

Dafna is a PhD candidate in the Dept. of Middle Eastern Studies at Bar-Ilan University. Her research focuses on identifying Salafi Jihadi Daʿwa on social media. Dafna worked as a research assistant at the ICT in Herzliya, contributing to a project on Hezbollah’s money laundering operations in Lebanon. She also participated in a joint initiative with the Israeli Meteorological Service, examining the impact of global warming on oil production in Iraq, and served as a teaching assistant at Reichman University. Her article The case of militant Jihadist Da’wa on the Darknet applied RHML methodology. Dafna served as a Political Officer at the Israeli Embassy in London during the Iron Swords War.

Raya completed her medical training at the Azrieli Faculty of Medicine, Bar-Ilan University and provides both a clinical perspective and administrative support to the UnityPhilly project.  As research assistant on the SOCINTLAB's study of adherence to Digital Therapeutics (DTx), Raya is leading the data analysis on a binational study of clinicians' and patients' barriers and motivators to the use of DTX for Diabetes management.

Menachem is completing his MD training at the Azrieli Faculty of Medicine, Bar-Ilan University.  His research focuses on DTx Adherence with a planned thesis titled: From Compliance to Adherence – Psychological Ownership As A Prism To Understanding the Clinician-Patient- Relationship: The Case of Type 2 Diabetes mellitus.

menmmeir@gmail.com 

Pavel was awarded his PhD in 2025 for groundbreaking work on organizational use of Blockchain.  His dissertation is titled: Unlocking Blockchain’s Potential: Managerial Insights, Adoption Frameworks, and Blockchain Type Selection Guidance for Organizational Implementation

B.Sc. Information Systems Engineering, Ben-Gurion University of the Negev

MBA Information Systems, Bar-Ilan University

pavel.plutov@gmail.com

Michal was awarded her PhD in 2019 and worked intensively on the Emergency Response Communities project.  Her dissertation is titled: Assessing pharmaco-behavioral and temporal aspects of mobile-based emergency response communities Intervention in Medical Emergencies

M.A. Communication Studies and the School of Management, University of Haifa

B.A. Web Technologies and Sociology , Bar-Ilan University

michal.gaziel@gmail.com 

Yaara's research at SOCINTLAB focused on the use of Twitter/X and other social media platform for Customer Service Management (CRM).  She is lead author of the study: Welcman, Y., Yahav, I., and Schwartz, D.G. The Journey to Engaged Customer Community: Evidential Social CRM Maturity Model in Twitter, Stochastic Models in Business and Industry, 36:397–416 2020. https://doi.org/10.1002/asmb.2495

yaararon@gmail.com 

Yoav's work on Unintentional Information Leakage (UIL) focused on the simulation of Ego Networks on Twitter/X and other social media platforms.

B.Sc. Electrical Engineering, University of Maryland, USA.

MBA, Bar-Ilan University, Israel

yoavac@gmail.com 

Yahel was awarded her PhD in 2020 . Her research focused on User Modelling and Interface Design. Yahel's dissertation is titled: A Novel Personality-Based Approach for Building Effective User Models: Systematic Review and Meta-Analysis.

ryhalfon@gmail.com

Zac was awarded his PhD in 2012 and led groundbreaking work on the use of social network analysis for cybersecurity.  His dissertation is titled: Analysis of knowledge flow in organizations using meta-data ties of information, documents and social networks.

M.B.A. Information Systems, Bar-Ilan University

B.Sc.Computer Science, Bar-Ilan University

Zac@Sadan.me

https://www.linkedin.com/in/zacsadan/

Gahl was awarded his PhD in Conflict Resolution. He is currently a research associate at the Coller School of Management of Tel Aviv University.

gsilverman@tauex.tau.ac.il