עברית

Dr. Dana Turjeman

Arison School of Business

Data Science and Marketing

Research and Teaching Expertise

Decision-Making
Marketing
Quantitative Models
Behavioral Finance
Marketing Management
Data Science

Dana Turjeman is an Assistant Professor of Marketing and Data Science at the Arison School of Business, Reichman University. Her research explores how individuals and firms navigate data-rich environments, with a focus on privacy, decision-making, and digital behavior. She studies topics such as responses to data breaches, perceptions of privacy risk, and the design of privacy-preserving technologies. More broadly, she aims to understand how people make choices when information is incomplete, uncertain, or asymmetric, especially in the context of digital markets and platforms.

Methodologically, Dr. Turjeman draws on tools from causal inference, computer science, statistics, and behavioral science to develop models and interventions that improve individual and societal outcomes. Her ongoing projects span privacy-preserving data integration, financial decision-making in social trading platforms, and the design of more transparent and accountable data systems.

Dr. Turjeman holds a PhD in Quantitative Marketing from the Ross School of Business, University of Michigan. Before entering academia, she was a software engineer and technical team lead at Intel Corporation. She has a BSc in Computer Science and an MBA (with honors) from The Hebrew University of Jerusalem.
Tian, Longxiu, Dana Turjeman and Samuel Levy, “Privacy Preserving Data Fusion: Leveraging Full Customer Records while Maintaining Anonymity” – (Forthcoming at Marketing Science)

Turjeman, Dana and Fred M. Feinberg (2024). "When the data are out: Measuring behavioral changes following a data breach". Marketing Science, 43(2), 440-461..

Ayalon, Oshrat, Dana Turjeman, and Elissa M. Redmiles, (2023) “Exploring Privacy and Incentives Considerations in Adoption of COVID-19 Contact Tracing Apps”. In 32nd USENIX Security Symposium (USENIX Security 23) (pp. 517-534). .

Ying Fan, A. Yeşim Orhun and Dana Turjeman, (Forthcoming, 2023, PLOS One) "A Tale of Two Pandemics: The Enduring Partisan Differences in Actions, Attitudes, and Beliefs during the Coronavirus Pandemic".

Dooley, S., Turjeman, D., Dickerson, J. P., & Redmiles, E. M. (2022, April). Field evidence of the effects of privacy, data transparency, and pro-social appeals on COVID-19 app attractiveness. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-21).

Turjeman, Dana and Fred M. Feinberg (2020), “Our Data Driven Future: Promise, Perils and Prognoses”. Review of Marketing Research: Continuing to Broaden the Marketing Concept
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