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Gabriel Recchia

Winton Centre for Risk and Evidence Communication


Dr Gabriel Recchia

Gabriel Recchia

Gabriel Recchia received his PhD in Cognitive Science from the University of Indiana in 2012. His current research concerns the communication of information about risks and benefits in ways that support comprehension and informed decision-making, and which take into account recipients' information needs and preferences. He also conducts research on distributional models and their applications in the cognitive and social sciences, and has studied at Stanford and the University of Memphis Institute for Intelligent Systems.

Gabriel leads on user interface design and evaluation of Predict: Breast and user-friendly genetic reports, including evaluations of the effect of design choices on trust and comprehension. He also contributes to the Centre's work on communicating information about societal risks, and to user interface design for other risk/benefit communication tools.

Can You Handle the Evidence?

Test your skill at navigating evidence-by-numbers with one of our quick quizzes.

Journalists & Press Officers
Do you know your absolute from your relative risks? Your ORs from your HRs? Test yourself here.
Medical Professionals
You know the difference between sensitivity and specificity, but what about lead-time and overdiagnosis bias? Examine yourself here.
Legal Professionals
Given a positive DNA match, what’s the likelihood of innocence? Check your grasp of forensic evidence & probability here.

Latest news

Why Doctors Are Bad At Stats — And How That Could Affect Your Health

19 September 2019

A new blog and podcast from María del Carmen Climént Palmer on the problem of the lack of numerical and statistical training in medical schools, and the effects it can have on patients.

Two job opportunities within the Winton Centre!

11 September 2019

We are now inviting applications for both a postgraduate and a postdoctoral psychologist to join the team for a year.

Our work on the wording of genetic reports for cystic fibrosis carrier testing is published

13 September 2019

Genetic test reports are typically very difficult to understand, being full of technical terms that non-specialists don't understand. Our work on improving this situation is now published.

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