Inferior and backward. Only recently has indigenous knowledge (partly) lost these seemingly indelible labels. This development started in the 60's with anthropologists' ethnoscience research and the discovery and publication of 'indigenous knowledge success stories', and continued in the 70's by the development of Farming Systems Research philosophy and the sprouting of formal studies on indige...

The most common model of machine learning algorithms involves two life-stages, namely the learning stage and the application stage. The cost of human expertise makes difficult the labeling of large sets of data for the training of machine learning algorithms. In this paper, we propose to challenge this strict dichotomy in the life cycle while addressing the issue of labeling of data. We discuss...