The Inform prize was created in 2014 and is funded by Intelligent Plant, all 3rd year students at Aberdeen University are invited to register to be counted in the prize for the year. Each team will be invited to present their project - Format of the presentation: 5 minute overview presentation, 10 minute demo, 5 minutes Questions and answers. The prize is awarded to the team who presents their project in such a way to bring the audience with them – engaging content, speaking and answering questions confidently, not bamboozling the audience with technical jargon are some tips for how to proceed. Should you prefer to present in a different format that too is allowed but we will be looking to see the actual delivered product as you would demo one to a client if you were in the working world. The prize is £800 which will be awarded to those who present on the day – so don’t sit back and let your mates present, get involved to get some of the prize.
In 2019 the Inform Prize expanded to the King's College Auditorium and opened to industry. For the first time, 4th year students were present to showcase their seniour honour's projects and dissertations to academics and employees.
Intelligent Plant have been collaborating with Engineering and Computer Science at the University of Nottingham on a number of research projects and plan to support teaching activities in the future via student placements. They have also been meeting with PhD students to demonstrate and discuss how industrial apps can be developed and presenting at career events. This has been fantastic for the students by giving them an insight to the different careers available for graduates and the changing skill requirements of industry. Intelligent plant are also an industrial partner on the Allergen Enhanced Factory Cleaning and RoboClean projects. Their experience and expertise in analysing and visualising manufacturing data from a number of manufacturing sectors has been invaluable in assisting the Universities research team in the development of new data driven technologies to improve factory cleaning.
Computing Science and Engineering, University of Nottingham