There are an estimated 253 million blind and visually impaired people in the world. To grant them access to text publications that contain images, experts are employed to write image descriptions. There is both a societal and a legislative pressure to supply image descriptions to all new and archived publications within a number of years, yet the number of available experts is limited. The image description task for images in textual context is complex, since a fitting description combines salient elements from both the image as well as the context into a description, which also differs depending on the publisher and published medium.

Because of this complex nature, current automated systems are unable to reliably produce desirable results. Instead, this thesis focuses on developing software to assist the experts in their general image description task in order to improve their efficiency. Specifically, we use existing, commercially available automated tools to generate alternative representations of the data. To analyse the system, we develop a user interface to present all of the available data and design an experiment with a small group of experts to investigate the system's applicability and perceived usefulness. We find that such a system has great potential to assist the experts, but that it might be desirable to focus on a solution aimed towards a smaller subset of publications, so that domain-specific information sources can be exploited to improve the information quality.

Nowadays, entering into a contract with an overseas company still relies on postal services to send a printed contract, which is signed on paper. Lizard Global is developing an online platform for constructing, reviewing and signing digital contracts for one of their clients. In the original system, when a signee signed a contract, his personal information was used as a signature and stored in blockchain. However, this way of signing a contract does not enjoy the same degree of legal validity as a written signature. Moreover, the implications on privacy legislation, specifically the European Data Protection Regulation (GDPR) had not yet been taken into account by Lizard Global. This project describes how agile development was used to construct a high quality software solution to the problem, thereby implementing firstly an advanced e-signature to make signing a contract legally binding and secondly functionality to store this signature in blockchain such that it is compliant with the GDPR legislation. This is done by only storing hashed values in the blockchain and adding a user panel. In this panel, signees are able to control their personal data. High quality is obtained by testing thoroughly (100 per cent branch coverage), using the static analysis tool ESLint and requesting, receiving and implementing feedback from the software improvement group.