Tuesday, 29/5/2018 @10:30AM

The Butler Auditorium, Technion

Galit Shmueli

Tsing Hua Distinguished Professor

Institute of Service Science

Director, Center for Service Innovation & Analytics

College of Technology Management

National Tsing Hua University, Taiwan

The discussion following the talk will be include

Prof Ron Kenett and Dr Avigdor Zonnenshain


Behavioral big data (BBD) refers to very large and rich multidimensional data sets on human and social behaviors, actions, and interactions, which have become available to companies, governments, and researchers. A growing number of researchers in social science and management fields acquire and analyze BBD for the purpose of extracting knowledge and scientific discoveries.

However, the relationships between the researcher, data, subjects, and research questions differ in the BBD context compared to traditional behavioral data. Also, the landscape of risks and harm to human subjects has greatly changed, as evidenced by the new EU General Data Protection Regulation (GDPR) that comes into action in May 2018, and the revision of the Common Rule (Final Rule) in the USA. Behavioral researchers using BBD face not only methodological and technical challenges but also ethical and moral dilemmas. These issues also affect industry-academia collaborations. In this talk I will discuss several dilemmas, challenges, and trade-offs related to acquiring and analyzing BBD for causal behavioral research.

Shmueli, G. (2017), Research Dilemmas with Behavioral Big Data, Big Data, vol 5 issue 2, pp. 98-119.