Dr. Inbal Yahav Shenberger

מנהלת ביה"ס למנהל עסקים סגל אקדמי בכיר

General Information

Dr. Inbal Yahav has a Bachelor in Computer Science and a Master in Information Systems from the Israel Institute of Technology (Technion). Eight years of work at Bar Ilan University. 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 has joined The Coller School of Management in 2019 as a senior lecturer, after eight years working at the 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, Dr. Yahav incorporates data mining algorithms, social network analysis and optimization models to produce complex statistical models, with high predictability. She applies these methods mainly to public health applications and online social networks.

Research Areas

Data Science; Text Analytics; Social Networks; Public Health

Selected Publications

Jank, W., & Yahav, I. (2010). E-loyalty networks in online auctions. The Annals of Applied Statistics, 151-178, IF-1.746, 5-Year IF-2.443, Q1 (19/110)
Yahav, I., & Shmueli, G. (2012). On generating multivariate Poisson data in management science applications. Applied Stochastic Models in Business and Industry28(1), 91-102, IF-0.544, 5-Year IF-0.786, Q4(66/79)
Yahav, I., & Shmueli, G. (2014). Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores. Annals of Operations Research, 216(1), 101-128, IF-1.191, 5-Year IF-1.217, Q2(33/85)

Yahav, I. (2016). Network analysis: Understanding consumers' choice in the film industry and predicting pre‐released weekly box‐office revenue. Applied Stochastic Models in Business and Industry32(4), 409-422, IF-1.095, 5-Year IF-1.211, Q3(54/83)

Yahav I., Shmueli G., Mani D. (2016).  A Tree-Based Approach for Addressing Self-Selection in Impact Studies with Big Data. MIS Quarterly. 40(4), pp. 819-848, IF-7.268, 5-Year IF-12.222, Q1(1/85)
Schwartz, D. G., Yahav, I., & Silverman, G. (2017). News censorship in online social networks: A study of circumvention in the commentsphere. Journal of the Association for Information Science and Technology68(3), 569-582, IF-2.835, 5-Year IF-2.931, 1(17/88)
Shmueli, G., & Yahav, I. (2018). The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees. Production and Operations Management27(4), 696-716, IF-1.772, 5-Year IF-2.921, Q3 (27/46) *according 2017          
Cascavilla, G., Conti, M., Schwartz, D. G., & Yahav, I. (2018). The insider on the outside: a novel system for the detection of information leakers in social networks. European Journal of Information Systems, 27(4), 470-485, IF-3.197, 5-Year IF-4.236, Q1(15/88) *according 2017
Yahav I, & Schwartz D. (2018) Citizen engagement and the illusion of secrecy: exploring commenter characteristics in censored online news articles, Information, Communication & Society, 21(11), 1620-1638, IF-3.084, 5-Year IF-4.689, Q1(5/84)
Yahav, I., Shehory, O., & Schwartz, D. (2018). Comments Mining With TF-IDF: The Inherent Bias and Its Removal. IEEE Transactions on Knowledge and Data Engineering, 31(3), pp 437-450, IF-2.775, 5-Year IF-3.692, Q1(33/132) *according 2017

Awards and research grants

2012– 2015 Earth Observations-based Agricultural Production forecasting to assess potential impacts on grain markets and civil unrest, NASA, $ 100,000 annual

2013 – 2015 Data Leakage in Social Networks: Detection And Prevention, Ministry of Science and Technology (MOST), Ministry of Science and Technology (MOST)

2017-2021 Piloting a naloxone intervention in an emergency response community to reduce opioid overdoses in Philadelphia, NIH, $ 654,686

2019-2021 Ethical Risks in Digital Devices: A Data-Science Approach, Ministry of Science and Technology (MOST), 450,000 NIS,

2019-2021 Towards Higher Accuracy of Behavioral Big Data Analysis: A Qualitatively Augmented Text Classifier Design Method, Blavatnik Interdisciplinary Cyber Research Center, 560,000 NIS

Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
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