My primary work examines the behavioral side of the new economics of information and communication with a particular focus on the effects of new technologies developed to extract and utilize insights from massive behavioral datasets. I am particularly interested in social problems arising from products powered by artificial intelligence and machine learning like review aggregators, online feedback and reputation systems as well as recommender systems. I think of my main research agenda as a pool of questions partitioned in three major categories: 

     1. How to most efficiently extract high-quality feedback from transactions,

     2. How to best aggregate and present that information back to consumers and

     3. What behavioral biases arise when market agents both report and utilize feedback and reputation when making decisions.

As a behavioral economist I often think psychologically when conjecturing possible explanations for observed behaviors. As a consequence I enjoy designing simple experiments, both laboratory and field/online ones, to help me understand my questions of interest. In my work thus far I have used both experimental, survey and observational data to answer research questions.

In addition to my main interests, I work on other issues regarding individual decision making in financial situations and life & income satisfaction. For a detailed summary of my research papers please see this document [in preparation].

We need not only understand the behavioral side of human interactions through newly created technological mediums that are constantly changing, but also how human’s perception and behavior differs when interacting with intelligent machines.

Check out my papers [here].