UN's 17 Sustainable Develpment Goals

Machine Learning project for predicting the "compliance" of Swedish research projects in regard to UN Sustainable Development Goals

Course: DV2594 H20 lp12 Machine Learning for Streaming Data, Blekinge Institute of Technology

Project goals

Predict how well Swedish research projects are meeting the UN's Sustainable Development Goals (17 Global Goals) by analaysing the historical research applications from SweCRIS and match them with the UN's global goals (in Swedish: Globala målen)

Project boundaries

1. Language of the documents (for analysis): Swedish
2. Document set: Application submission abstracts collected from SweCRIS
3. In the first phase collected data from web about global goals will be used as base for learning, classifying and prediction
4. Tagged data provided by Formas and Vinnova will be used to evaluate models (SVM and Multinomial Naïve Bayes)