curating-machine-predicted-SDG-data-mapping

Curating Machine Predicted SDG Data Mapping

Challenge

In 2015, the UN General Assembly set forth 17 Sustainable Development Goals (SDGs) designed to pave the path to a more sustainable future. Advancing the 17 Sustainable Development Goals is vital to the success of the United Nations’ 2030 Agenda for Sustainable Development.

A leading global information analytics company sought to validate and curate the machine predicted mapping output of research articles to SDG goals through expert annotations by subject matter experts (SME).

curating-machine-predicted-SDG-data-mapping-challenge
curating-machine-predicted-SDG-data-mapping-approach

Straive Approach

Straive’s SMEs were tasked with evaluating and associating the article’s key themes with SDG goals and targets as part of the double-blind annotation experiment. Straive used its huge network of industry and academic SMEs to ensure the accuracy of the mapping and to add subject-specific guidance and expert opinion to its deliverables.

Impact Generated

  • 6K articles validated and annotated within 6 weeks
  • 97% accuracy achieved

Learn how Straive helped a leading global information analytics company manage document routing based on SME specialization.

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