Inga is a lecturer of Behavioral Economics at the Department of Management at Ca’ Foscari University of Venice. She obtained her PhD degree at University of Ca’ Foscari University in 2014. As a part of her PhD studies, she spent an academic years as Visiting Student Research Collaborator at Princeton University, the Department of Psychology. After her Ph.D., she was a postdoctoral research fellow in the Department of Management at Ca’ Foscari University of Venice.
Prior to pursuing her PhD Inga spent eight years both studying and working in the United States. Inga's past education includes a double major Honors B.Sc. in Economics and B.Sc. in Finance from University of Illinois at Chicago, USA and the Second Level International Master in Finance and Economics with Honors from Ca’ Foscari University of Venice, Italy. In addition to mentioned degrees, she also holds Honors Associate of Art in Art and Honors Associate of Art in Business Administration from Harry S Truman College, Chicago, USA.
Inga’s research interests focus on the interaction between the disciplines of behavioral economics and psychology, with special attention to the areas of organization plasticity and strategic adaptation in multi-dimensional dynamic environments. Her decision-making under risk research is focused on how people learn, form judgments, and make decisions that ultimately determine their economic outcomes. From the methodological standpoint, Inga combines behavioral, experimental and computational methods in her research. She has been an active member of the Center of Experimental Research in Management and Economics (CERME). Her collaboration with CERME involves focusing on the development, implementation, and analysis of laboratory and field experiments that aim to shed light on basic social, cognitive, and judgment processes that impact learning, adaptation, group decision-making and learning success in managerial contexts. Furthermore, Inga has assisted in coordinating the daily operations of the laboratory for the Center, advising CERME laboratory users on experiment design, running experiments, programming interface, analyzing and interpreting statistical data, maintaining and growing subject pools, both offline and online.
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