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 Harmony, we have taken the following marketing initiatives:
In future, we plan to:
We hope to raise awareness, 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)
Sending data from another website to Harmony using Javascript We have exposed functionality for external websites to integrate with Harmony and add an “import to Harmony” button, either generated in Javascript or in Python. Create an Instrument object with at least an instrument_name and questions property in JSON - the questions must have a question_no and question_text properties eg: { "instrument_name": "Smoking behaviour", "questions": [ { "question_no": "1", "question_text": "Do you currently smoke or have you ever smoked?
Harmony at PyData London - 86th Meetup Update: you can download the slides from the presentation here Topic: NLP and generative models for psychology research Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires. Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.