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Some of our Partners & Clients
Academic Partnerships
We have established a working partnership with The University of Edinburgh across a number of dimensions to help ensure we remain at the forefront of research into Data Science, AI and Machine Learning.
Some of the highlights of our Edinburgh University partnership are:
- Supporting the Data Science MSc programme by providing regular internships for MSc students
- Support for the MAC-MIGS (Mathematical Modelling, Analysis and Computation CDT) Centre for Doctoral Training which educates 65 Ph.D. students in the areas of analysis and computation. We play an active role engaging with the students to illustrate real life examples of how advanced mathematical modelling has an impact in the business world. We provide summer internships to selected students to bring the latest research into our own Data Science team.
- Supported Professor Alan Bundy in a number of his research areas:
- “Automated Reasoning in the Age of the Internet”. A new approach to make full use of the information contained in the internet, inferring new information from old.
- Human-like Ontology Analysis and Repair (OntAR), an interdisciplinary project working across the fields of human-like computing, ontology engineering, human-computer interaction, artificial intelligence and automated reasoning to determine how human patterns of activity lead to defective entailments and ultimately automate their repair
- Research into building a citation harvester system to classify data citation styles, provide recommendations on best practices to data publishers and derive metrics on data use/reuse and explore the potential to derive a “Data Citations Impact Factor” metric.
- PhD Sponsorship of research into Meta-ontology fault detection. Finding and dealing with faults in auto-generated ontologies.
A highlight of our University of Glasgow partnership has also been research into creating the world’s first “Google for Data” to discover the world’s open source data and provide users with the fastest, richest and most relevant data search experience possible.