In preparation for our UX & Product Design Week we wanted to share some industry insights for you to get inspired. And today we are going to talk about CollectiveIntelligence Design.
When people come together and share their insights, knowledge and ideas, great things can happen. Like Wikipedia. After all, two heads are always better than one, right? π―ββ π―ββ
Add technologies to the process and you can truly make the world a better place. Learn more about how organisations use Collective Intelligence Design below ππ
Wikipedia is a great example of Collective Intelligence.
It allows thousands of individuals around the world to contribute their knowledge and improve on each otherβs work with the help of technology.
Collective Intelligence Design helps communities to tackle complex problems like floods or lack of public spaces with the power of technology and data.
Organisations use it to build trust and collaborate with citizens.
βοΈ They are both examples of Collective Intelligence Design and celebrate the power of people working together!
Block By Block helps citizens to improve and co-create streets, parks and other public spaces using Minecraft as a tool to visualise ideas. Users can organise the spaces and create trees, benches and even seawalls. π«
π€Crowdsourcing platforms
π€³ π°Satellite imagery or mobile phone data
π€AI data analysis
For example, πΊ PetaBencana creates real-time flood maps in Jakarta using Twitter posts by citizens. The maps help organisations and governmental agencies to respond to flooding. π
PatientsLikeMe allows patients to find other people with similar diseases or conditions. Patients can compare treatments and share their experiences. Apart from being a network, it is also a live-research platform. π
Missing Maps is an open, collaborative project in which you can map the areas where humanitarian organisations help people who live at risk of disasters. π π
VAMPIRE predicts where people will be affected by climate change. It combines data about food security, poor families, and rainfall anomalies. The result is a map that shows what areas need attention. π₯πͺ
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