Strategic Communication in an Uncertain/ Risky World
About This Course
This course provides an introduction to how people perceive and understand risks in their professional and personal lives and trains participants to develop effective strategies to communicate risks to executives, stakeholders and the public. Concepts and techniques will be applied to critical risk domains for Singapore, focusing on healthcare and AI. The course will cover: metrics of risks assessment and how to use them (e.g. natural frequencies, return periods); risk data storytelling and visualisation approaches (e.g. icon arrays, risk maps, medical fact boxes); open sources of data on risk perceptions and data gathering techniques (including: survey and experiment design, expert elicitation approaches, broadcast and social media analysis); heuristics and biases in risk perception leading to over- or under-estimation of risks; long-term and crisis risk communication strategy development; and tailoring of communications to target stakeholders (market segmentation, use of social archetypes). The course uses a proprietary strategic risk communication framework, workbooks, survey data and teaching cases relevant to healthcare and tech risks in Singapore (e.g. diabetes, dementia, AI adoption in aviation, maritime, and healthcare sectors).
What You'll Learn
applying behavioural science principles to encourage healthy behaviours (e.g., diet, exercise, smoking cessation);
presenting probabilistic information about treatment outcomes (e.g., success rates, side effects); communicating uncertainty in diagnoses and prognoses without losing patient trust; supporting informed consent through clear risk-benefit communication. In relation to AI, the course will cover how to communicate clearly the potential and limits of AI (to avoid overhype and unwarranted fear); communicating AI's probabilistic nature and helping non-technical audiences understand algorithmic decision-making.
Entry Requirements
General Diploma