Categories, Themes & Outputs
This year's hackathon theme is meta-research and applied health data science, described below:
| Theme | Description | Example topics |
|---|---|---|
| Meta-research | Meta-research seeks to improve research quality by promoting good research practice and dealing with issues that may affect research outcomes |
|
| Applied health data science | Application of data science techniques to solve real-world health issues |
|
The outputs of each project in this Hackathon should fall into one of these three categories:
e.g. data visualization, interactive graphs, poster to inform general hygiene, creative ways to engage an audience
e.g. code or script to analyse health data and present the findings, use of a certain technique/method/library to do analysis
e.g. create a Shiny app, python package, new programming language, or producing data - standard data format, ontologies, data mining
We accept outputs in any presentable format as long as it belongs to one of the themes and categories above, for example:
- Infographic poster
- Powerpoint slides
- Jupyter notebook
- GitHub repository (for code)
- Web application
- Short video
Please note that each team needs to present their output during the project showcase on the 27th of June, 15:00 - 16:00 BST.
If you are comfortable using GitHub, please also submit your output onto our repo by forking, adding your output to your team's folder, and creating a pull request.
