Images of Research 2020-21 – Rules and Guidelines
| Your Research | Your image needs, in some way, to connect, comment on or represent your research. You can be as creative as you like to capture the viewer’s imagination. |
| Unique | Your image should be from a photograph, drawing or painting which you have created yourself, not downloaded from any publicly available image bank. |
| Format | Your image can be in full colour, sepia or black and white and either landscape or portrait. |
| Resolution | Your image must be of a high resolution, at least 2-3 megabytes and in either a jpg or tif format so that it prints successfully onto A4. Some mobile phones do not take images of this quality, so try to use a good digital camera (note: you do not need to print it). |
| Title and description | Along with your image, please write a snappy title and a concise description of your image and how it relates to your research. A maximum of 150 words in plain English (no technical language or jargon). |
| Deadline | Please email your image and description to linda.maguire@northampton.ac.uk by Monday 21st December 2020. Make sure you email the FULL-SIZE image for best quality. |
| Copyright | By entering the competition, you are giving the Graduate School permission to use your entry for exhibitions and publications, in the context of Images of Research. |
| Want to see more examples? | Search for ‘Images of Research’ here on the Research Support Hub for previous year’s entries. For more example from other universities, please Google ‘Images of Research’. |
Judging
On Monday 22nd February 2021 we are hoping to hold a face-to-face launch, where you can view all the images for the first time. You will be able to vote for your favourite top three entries in the ‘people’s choice’ vote. There will also be an expert judge vote. The selected images will then be used in various University publications. The winner will be announced on Monday 22nd March 2021.
Judging criteria
As a guide, a winning image is one that:
- Is visually appealing
- Has an accompanying abstract that is well-written, clearly connects with the image and ensures viewers, who know nothing about the topic, will understand and find interest in the research presented.
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