Understanding the commonalities and differences between the five query-based SDG labeling systems.

Date created: October 2021
Tools used: R, Figma

The United Nations’ Sustainable Development Goals (SDGs) have become an important guideline for organizations to monitor and plan their contributions to social, economic, and environmental transformations. Efforts to monitor the SDGs in the output of academic organizations have so far been spearheaded by for-profit organizations with methodologies that are only partly publicly available and cannot be easily applied beyond academic publishing databases. To alleviate these shortcomings, University of Basel has developed text2sdg, an open-source solution that lets users detect SDGs in any kind of text using a total of five different systems of search queries.

The goal of this data visualization hackathon is to better understand the commonalities and differences between the five query-based SDG labeling systems.