Empower people to make informed choices
Our solution is two-fold:
• Learning resources that will enable people to recognize reliable and unreliable claims, and to use reliable information to inform their decisions.
• Accessible evidence that will make it easy for people to find and use the best available research evidence to inform their decisions.
Critical thinking about claims
We are developing, testing, and scaling up the use of effective learning resources to enable people to think critically about health claims and make informed choices. We started with primary school resources, to lay a foundation for continued learning. The resources will complement and facilitate teaching critical thinking and scientific reasoning in other areas. We also started in low-income settings, where the need is greatest.
Explore our learning resources
Easy access to reliable information
To make it easy for people to access reliable information, we are preparing user-friendly summaries of evidence of effects together with other necessary information in formats that have been shown to meet people’s needs, including summary of findings tables, plain language summaries, and evidence to decision frameworks.
Explore our resources for making evidence accessible
Better personal choices and policy decisions
Our solution will empower individuals to make better personal choices. It will also enable them to participate in policy debates as scientifically literate citizens. Today’s children are tomorrow’s health professionals and policymakers, as well as patients and citizens. To achieve the benefits of a scientifically literate population making well-informed decisions, we need to start with children and the time to start is now, for their benefit and the benefit of humankind.
We are working together with teachers, students and other stakeholders in designing learning resources in different countries around the world – including low- and high-income countries. We are using user-centred design to make sure we develop resources that are engaging, understandable and feasible to implement in a range of contexts. Before scaling up the use of resources, we are testing them in fair comparisons (randomized trials) to make sure that they are effective.
Read more about how we work