Skip to main content
  • English
  • Español
  • Français

United
Nations

 

Office for Outer Space Affairs
UN-SPIDER Knowledge Portal

  • Home
  • About Us
    • What is UN-SPIDER?
    • About UNOOSA
    • Publications
    • Jobs
    • Meet the Team
    • Contact
  • Space Application
    • Satellite Technology
    • Emergency Mechanisms
    • Recovery Mechanisms
    • International Asteroid Warning Network
    • Space Mission Planning Advisory Group
    • International Space Weather Initiative
    • Space Technologies in the UN
    • User Stories
  • Links & Resources
    • Data Applications
      • Disaster Recovery
    • Data Sources
    • GIS and Remote Sensing Software
    • Online Learning Resources
    • Institutions
  • Risks & Disasters
    • Disaster Risk Management
    • Early Warning Systems
    • Emergency and Disaster Management
    • Natural Hazards
    • Sendai Framework
    • The UN and Disaster Risk Management
    • The UN and Early Warning
    • The UN and Disaster Management
  • Advisory Support
    • Advisory Missions
    • Emergency Support
    • Virtual Advisory Support
    • Recommended Practices
    • Training Activities
    • Practical Uses
  • Network
    • Regional Support Offices
    • GP-STAR
    • MHEWS
    • IWG-SEM
  • Projects
    • SPEAR
    • SEWS-D
    • EvIDENz
    • Flood GUIDE
  • News & Events
    • News
    • Events Calendar
    • UN-SPIDER Events Archive
  • Admin
    • SAM Items

Breadcrumb

  • Home
  • Taxonomy Pages
  • Taxonomy Pages

Sub-Saharan Africa

country taxonomy block

Funding collective issues RFP for labeled agricultural datasets to support ML in Africa
Central-pivot agricultural fields along the Orange River in South Africa. Image: contains modified Copernicus Sentinel data (2016), processed by ESA.
A grantmaking collective committed to creating and mobilizing labeled datasets that facilitate the development of machine learning applications to address urgent problems has launched a new request for proposals (RFP) for funding. [Lacuna Fund](https://lacunafund.org/), which aims to support as many organizations as possible in using artificial intelligence for social good in low- and middle-income contexts, focuses on agriculture, health and languages. This latest request for proposals will fund labeled agricultural datasets for machine learning in sub-Saharan Africa, whether referenced to Earth observation data or related to other aspects of the crop and animal agricultural system. Interested organizations headquartered in Africa or having a substantial partnership with organization(s) headquartered in Africa can [submit their applications](https://meridian.smapply.io/prog/lacunafund_agriculture/) until 3 September 2020. Further details are available from the [authoritative version… more
Publishing date 29/07/2020

Footer menu

  • Contact
  • Terms of Use

User account menu

  • Log in