General information
The project uses machine learning algorithms to automatically extract information about sustainable development goals (SDGs) from text documents. This will enable stakeholders to analyze which SDGs are addressed in the sustainability reports of companies and organizations in the Berlin-Brandenburg region. The work of the RENN hubs (Regional Hubs for Sustainability Strategies), which support and promote the implementation of the SDGs in their respective regions, can be supported in this way.
Method
The first step involved creating a data bank with information on sustainability reports from companies and organizations in the Berlin-Brandenburg region and ground truth labels on SDGs. Various classifiers based on artificial neural networks were trained and tested on the SDG classification dataset. The project also investigated how the comprehensibility and transparency of the model results can be improved.
Results
The classification shows promising results. The usefulness of explanations in the context of SDG recognition was examined and confirmed through a user study. In addition, the models trained on the data and the evaluated explanations were integrated into the interactive demonstrator.
Outreach