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Designing Efficient Risk Information Communication
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Topic

Risk Analysis

Public beliefs about risks matter—from financial investments to drug side-effects

Setup

UniBas

Part of the University of Basel research in Economic Psychology

Design

R

Realized in R-Statistics, JavaScript, and Qualtrics

Designing Efficient Risk Information  Communication

Finding solutions to better risk communication through labeling, using real-world data.

To gain insights into how risks are perceived by people, who are not experts in risk assessment, we used a mixed-method approach: We investigated the role of communication in the understanding of risks, analyzing data from two large risk perception data sets merged with open-text responses about risks in combination with an analysis of real-world web-based evidence about risk magnitudes.