21st Century Common Sense: Collective intelligence for the Climate Crisis

Photo by Bob Blob on Unsplash

Time to see more crossovers: Machines, humans and wicked problems

  • To predict displacement in Somalia, UNHCR is using machine learning through Project Jetson
  • UN Global Pulse has used natural language processing to learn from people calling in to talk radio shows to track new agricultural threats and learn about people’s attitudes towards refugees and is leading on privacy and ethical frameworks to govern the use of big data in development.
  • Here at UNDP, we have tested out ways of helping our Sudanese national partners gain real-time and detailed insights about poverty distribution using mobile phone metadata.
  • Satellite data is also enabling us to develop a more precise understanding of the socio-political and geographic changes that are driving people to migrate.
  • We have also seen crowdfunding evolve as an impact investment tool to finance startups in Egypt

Learning direction #1: Moving beyond using collective intelligence to understand the problem

Learning direction #2: Balancing public sector promises with the flexibility to follow the unexpected

Learning direction #3: Unite the system thinkers, the machine designers and those who study the human brain

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Building the world’s largest learning network around development challenges. 91 Labs in 115 countries. http://acceleratorlabs.undp.org/

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UNDP Accelerator Labs

UNDP Accelerator Labs

Building the world’s largest learning network around development challenges. 91 Labs in 115 countries. http://acceleratorlabs.undp.org/

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