Nineteenth International Conference on Technology, Knowledge, and Society

Abstract

Beyond the development of a thinking machine, there is also the need to validate the model to check the accuracy and ensure the prediction quality in real-life. Given that a thinking machine is as smart as the data it is trained with, there is the need for an infrastructure to support the production of training and validation data that have provenance. This proposal makes a case for the need to support the discovery of Southern Knowledge through proper research management. To support thinking machines with a formal process for the collection, annotation, and archiving of data. To preserve valuable digital assets, including southern knowledge, and ensure that they are discoverable and re-useable for downstream investigations, alone, or in combination with newly generated knowledge. This can be achieved through a new kind of science in society. The kind of Science that ask the questions of: How do we provide access to critical data across locations? How do we ensure that the data is ’official’? How do we ensure data governance? How do we protect data ownership? How do we ensure that all Research data remains: Findable, Accessible, Interoperable, and Reusable (FAIR)?