Curating Machine Predicted SDG Data Mapping

Curating Machine Predicted SDG Data Mapping

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).

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. Benefits delivered include:

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

Download our case study to learn how Straive helped a leading global information analytics company manage document routing based on SME specialization.

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