I’m Gabriel Recchia, a research associate at the University of Cambridge’s Winton Centre for Risk and Evidence Communication, where I work on how to communicate of information about risks and benefits in ways that support comprehension and informed decision-making. I’m particularly interested in how best to communicate information generated by statistical models and machine learning algorithms. I also conduct research on distributional models of semantics and their applications in the cognitive and social sciences.
Previously, I was at the Centre for Research in the Arts, Social Sciences and Humanities, where I developed distributional models for the analysis of large corpora of historical texts, and investigated conceptual change by attending to shifting statistical associations between words over time. This position also involved the development and testing of user interfaces for the display of complex quantitative information to individuals of a variety of backgrounds.
I received my bachelor’s degree in Symbolic Systems from Stanford University in 2007, and my doctorate is in Cognitive Science at Indiana University, with a minor in computational linguistics. I’m also passionate about the potential of games and adaptive game-like systems. I’m especially interested in games that build positive habits, facilitate mindfulness, or are especially creative in terms of their mechanics or overall gestalt. More information about games that I am developing (and have developed) is available on the Games page. Research tools are available on the Tools page. Publications, skills, and previous employers are listed on my CV.