I’m Gabriel Recchia, a research associate at the University of Cambridge’s Winton Centre for Risk and Evidence Communication, where I’m researching how best to communicate information about risks and benefits, and evaluating tools for doing so. Increasing amounts of such information are now being generated by statistical models and machine learning algorithms, so figuring out how best to explain the workings, outputs, and limitations of these approaches is of particular importance. I’m also interested in ‘human-interpretable’ predictive models and their applications, such as particular kinds of distributional models.
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.