The organisers of HealthHack, a weekend datahack for medical research problems, are looking for medical research scientists to bring their existing data and/or IT problems to be part of the event.
Researchers would act as problem ‘custodians’ or ‘clients’, working with the team to shape solutions, or act as data mentors without necessarily having aims in mind. In the case of GovHack, a weekend datahack of government data, there were no specific problems to solve - the data was simply available, which resulted in some stunning visualisations.
The event is likely have 6-10 teams of IT specialists and novices working over a weekend to see what solutions they can come up with. (If you want to be one of those participants, please register!)
To get you thinking, the organisers have envisioned some example problems in the medical research domain:
- I use multiple online data sets to search for genetic and epigenetic variations of a certain type, but I don't have a good way of knowing when I have looked at all the available information. I'd like an intuitive search panel that allows me to select exactly what I need, and report back all the relevant results
- I generate vast quantities of data; I would like a visualisation panel that lets me quickly and easily compare multiple data sets against each other
- I regularly search for information about disease occurrence; I'd like a tool that reports on aspects of previous research, e.g. statistical significance, number of patients, number of trials.
In another domain entirely, GovHack has given rise to
- Unlockd, a new platform for automatically loading and visualising government data normally hidden in PDFs and spreadsheets
- 3DZed, immersive 3D data visualisations
- Deathmatch, a game of risk analysis using ABS data of leading causes of death
- TransMap, showing where & how people in regional NSW travel