Marketing is important for an open science NLP project such as Harmony for several reasons:
In addition to these specific benefits, marketing can also help to:
Overall, marketing is an essential part of any research project on the scale of Harmony. We don’t have corporate sponsorship and we’re not funded by a university department. By effectively communicating the project’s value and potential, marketing can help to achieve the project’s goals and make a real impact on the world.
In order to raise awareness of the tool, we have taken the following marketing initiatives:
In future, we plan to:
We hope to attract contributors, build support, and enable Harmony to prosper and develop further in the long term.
We have prepared branding material for the Harmony project. In the modern online world, even academic projects can benefit from branding initiatives.
Our brand manual is available as a PDF and we have a Github repository with all branding resources: https://github.com/harmonydata/brand
We prepared a number of graphics using Figma (screenshot below):
These graphics feature throughout the site and on our social media accounts.
The fonts used for Harmony are Montserrat and Pragmatica.
0de5b2
rgb(13, 229, 178)
0f1854
rgb(15, 24, 84)
2b45ed
rgb(43, 69, 237)
You can also have Gradient (Aquamarine + Platinate Blue)
fefcfb
rgb(254, 252, 251)
00af54
rgb(0, 175, 84)
aeb8fe
rgb(174, 184, 254)
fb4d3d
rgb(251, 77, 61)
Help us design the next phase of Harmony and win up to £300 in vouchers! Search and Results UX/UI Challenge Harmony is a platform for researchers to help them discover and compare complex meta-data across different academic studies. The project is a collaboration between University College London (UCL), The University of Ulster, and Fast Data Science and has been funded by the Economic and Social Research Council (ESRC) and by Wellcome as part of the Wellcome Data Prize in Mental Health.
It’s all over! The Matching Challenge is now officially closed. Thank you to everyone who took part. The wait is over! We have now closed the Matching Challenge which was hosted on DOXA AI. Over the course of the competition we saw a total of 26 participants with 14 finalists making it onto the scoreboard. The final days were tense with many participants improving on their scores, submitting different methods and swapping places at the top of the scoreboard.