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NP32 Applied AI in Humanitarian Sector

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Why AI?

AI is revolutionizing the humanitarian services sector by enabling faster, more accurate responses to crises and improving aid delivery. Its importance and urgency are underscored by the increasing scale of global humanitarian needs, making the efficient, effective allocation of resources critical.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.

YOU WILL LEARN:

  1. Predictive Analytics: Forecasting disasters to enable proactive responses.
  2. Resource Allocation: Optimizing the distribution of aid based on need.
  3. Remote Healthcare: Providing diagnostics and treatment plans in inaccessible areas.
  4. Crisis Mapping: Utilizing satellite imagery for real-time disaster assessment.
  5. Education: Customizing learning for displaced or crisis-affected children.
  6. Supply Chain Management: Streamlining logistics for efficient aid delivery.
  7. Language Translation: Facilitating communication across language barriers.
  8. Sentiment Analysis: Gauging the needs and sentiments of affected populations.
  9. Water Quality Monitoring: Predicting and preventing waterborne diseases.
  10. Agricultural Optimization: Supporting food security with crop yield predictions.

FREE RESOURCES:

SOME FLASHCARDS
(PDF, 24 pages, 10×10) 
This PDF captures the main ideas from the paper. Easily shareable on SoMe for a start of an online conversation about AI in your industry.

CHEAT SHEET
(PDF, 2 pages, A4)
This PDF contains the main ideas from the paper, for your easy reference.

USE CASES
(PDF, 16 pages, 4×3) 
This PDF contains an overview of the 10 main AI use cases for this industry.

To get started with AI, first do this:

  1. Assess Needs and Opportunities: Identify where AI can have the most significant impact in your operations.
  2. Build or Acquire AI Expertise: Invest in training for your team or collaborate with AI experts and organizations.
  3. Start Small and Scale: Pilot AI projects in specific areas, learn from these experiences, and gradually expand successful applications.
  4. Explore other resources on nextpaper.me and check out the book “Explain for me AI”.
  5. Please contact us at hello@nextpaper.me for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Picture of Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on hello@nextpaper.me

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